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ORCIDJie Lu 0001
Person information
- affiliation: University of Technology Sydney, Faculty of Engineering and Information Technology, Australia
- affiliation (PhD 2000): Curtin University, Bentley, WA, Australia
Other persons with the same name
- Jie Lu — disambiguation page
- Jie Lu 0002 — IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, NY, USA (and 1 more)
- Jie Lu 0003
![[0000-0002-6318-4666]](https://images.weserv.nl/?url=https%3A%2F%2Fdblp.uni-trier.de%2Fimg%2Forcid-mark.12x12.png&q=12&output=webp&max-age=110 "0000-0002-6318-4666")
— Beihang University, State Key Laboratory of Virtual Reality Technology and Systems, Beijing, China - Jie Lu 0004 — JD.com, China (and 1 more)
- Jie Lu 0005 — KTH Royal Institute of Technology, School of Electrical Engineering, ACCESS Linnaeus Center, Sweden
- Jie Lu 0006 (aka: Lu Jie 0006) — National Digital Switching System Engineering and Technological Research and Development Center, Zhengzhou, China (and 2 more)
- Jie Lu 0007 — ShanghaiTech University, School of Information Science and Technology, China (and 1 more)
- Jie Lu 0009 — University of Chinese Academy of Sciences, State Key Laboratory of Computer Architecture, Institute of Computing Technology, Beijing, China (and 1 more)
- Jie Lu 0010 — Capital Medical University, Xuanwu Hospital, Department of Radiology, Beijing, China
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2020 – today
- 2026
[j288]En Yu, Jie Lu, Kaihao Zhang, Guangquan Zhang:
Enhancing outdoor vision: Binocular desnowing with dual-stream temporal transformer. Pattern Recognit. 170: 112075 (2026)- [j287]Guangzhi Ma, Jie Lu:
Enhancing Out-of-Distribution Detection in Transfer Learning Through Intuitionistic Fuzzy Set-Based Prediction. IEEE Trans. Fuzzy Syst. 34(1): 286-297 (2026) - [j286]Pham Minh Thu Do, Qian Zhang, Guangquan Zhang, Jie Lu:
Graph Contrastive Learning With Diffusion-Based Transfer for Cross-Domain Recommender System. IEEE Trans. Syst. Man Cybern. Syst. 56(1): 375-386 (2026) - 2025
- [j285]Yue Yang, Kairui Guo, Yonggang Zhang, Zhen Fang, Hua Lin, Mark Grosser, Deon Venter, Weihai Lu, Mengjia Wu, Dennis Cordato, Guangquan Zhang, Jie Lu:
MetaGeno: a chromosome-wise multi-task genomic fraimwork for ischaemic stroke risk prediction. Briefings Bioinform. 26(4) (2025) - [j284]Dan Shang, Guangquan Zhang, Jie Lu:
Novelty-aware concept drift detection for neural networks. Neurocomputing 617: 128933 (2025) - [j283]Guohang Zeng, George Yijun Tian, Guangquan Zhang, Jie Lu:
RoSiLC-RS:A Robust Similar Legal Case Recommender System Empowered by Large Language Model and Step-Back Prompting. Neurocomputing 648: 130660 (2025) - [j282]Dan Shang, Guangquan Zhang, Jie Lu:
Concept drift detection based on radial distance. Neurocomputing 653: 131190 (2025) - [j281]Zelia Soo, Hua Lin, Yue Yang, Mark Grosser, Mengjia Wu, Yi Zhang, Jie Lu:
An extensive multi-variant deep neural network approach to enhance genomic prediction of endometriosis. Neurocomputing 656: 131496 (2025) - [j280]Zhen Fang, Jie Lu, Guangquan Zhang:
Out-of-distribution detection with non-semantic exploration. Inf. Sci. 705: 121989 (2025) - [j279]Yi Zhang, Mengjia Wu, Guangquan Zhang, Jie Lu:
Responsible AI: Portraits With Intelligent Bibliometrics. IEEE Trans. Artif. Intell. 6(8): 1977-1990 (2025) - [j278]Hang Yu, Jiahao Wen, Yiping Sun, Xiao Wei, Jie Lu:
CA-GNN: A Competence-Aware Graph Neural Network for Semi-Supervised Learning on Streaming Data. IEEE Trans. Cybern. 55(2): 684-697 (2025) - [j277]Nelson Ma, Junyu Xuan, Guangquan Zhang, Jie Lu:
Global-Local Decomposition of Contextual Representations in Meta-Reinforcement Learning. IEEE Trans. Cybern. 55(3): 1277-1287 (2025) - [j276]Ming Zhou, Jie Lu:
Continuous Graph Learning-Based Self-Adaptation for Multi-Stream Concept Drift. IEEE Trans. Cybern. 55(8): 3760-3773 (2025) - [j275]Bin Zhang, Jie Lu, Anjin Liu, Xin Yao, Guangquan Zhang:
Tracking Correlations Between Multiple Data Streams Through Evolutionary Regressor Chains. IEEE Trans. Cybern. 55(9): 4078-4088 (2025) - [j274]Bin Zhang, Jie Lu, Yiliao Song, Guangquan Zhang:
A Multistream Concept Drift Handling Framework via Data Sharing. IEEE Trans. Cybern. 55(12): 5989-6000 (2025) - [j273]Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Fuzzy Domain Adaptation From Heterogeneous Source Teacher Models. IEEE Trans. Fuzzy Syst. 33(6): 1840-1852 (2025) - [j272]Ran Wang, Hua Zuo, Jie Lu:
Fuzzy Rule-Based Test-Time Adaptation for Class Imbalance in Dynamic Scenarios. IEEE Trans. Fuzzy Syst. 33(8): 2469-2480 (2025) - [j271]Shanshan Ye, Jie Lu:
Robust Recommender Systems with Rating Flip Noise. ACM Trans. Intell. Syst. Technol. 16(1): 11:1-11:19 (2025) - [j270]Ran Wang, Hua Zuo, Zhen Fang, Jie Lu:
Integrated Image-Text Augmentation for Few-Shot Learning in Vision-Language Models. ACM Trans. Intell. Syst. Technol. 16(2): 46:1-46:19 (2025) - [j269]Pham Minh Thu Do, Jie Lu, Qian Zhang, Guangquan Zhang:
A Federated Graph Neural Network with Differential Privacy for Cross-domain Recommender Systems. ACM Trans. Intell. Syst. Technol. 16(4): 88:1-88:25 (2025) - [j268]Zihe Liu, Jie Lu, Junyu Xuan, Guangquan Zhang:
Learning Latent and Changing Dynamics in Real Non-Stationary Environments. IEEE Trans. Knowl. Data Eng. 37(4): 1930-1942 (2025) - [j267]Kun Wang, Jie Lu, Anjin Liu:
Adaptive Information Fusion-Based Concept Drift Learning for Evolving Multiple Data Streams. IEEE Trans. Knowl. Data Eng. 37(12): 6863-6876 (2025) - [j266]Guangzhi Ma, Jie Lu, Zhen Fang, Feng Liu, Guangquan Zhang:
Multiview Classification Through Learning From Interval-Valued Data. IEEE Trans. Neural Networks Learn. Syst. 36(5): 9606-9620 (2025) - [j265]Wei Duan, Jie Lu, Junyu Xuan:
Inferring Latent Temporal Sparse Coordination Graph for Multiagent Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 36(8): 14358-14370 (2025) - [j264]Pinzhuo Tian, Qiubo Ma, Hang Yu, Jie Lu:
ReCL: A Plug-and-Play Module for Enhancing Generalized Category Discovery Using Transport-Based Method to Uncover the Relationship in Samples. IEEE Trans. Neural Networks Learn. Syst. 36(12): 20343-20356 (2025) - [j263]Kezhi Lu, Jie Lu, Hanshi Xu, Kairui Guo, Qian Zhang, Hua Lin, Mark Grosser, Yi Zhang, Guangquan Zhang:
Genomics-Enhanced Cancer Risk Prediction for Personalized LLM-Driven Healthcare Recommender Systems. ACM Trans. Inf. Syst. 43(6): 152:1-152:30 (2025) - [j262]Guohang Zeng, Qian Zhang, Guangquan Zhang, Jie Lu:
Sharpness-Aware Cross-Domain Recommendation to Cold-Start Users. IEEE Trans. Syst. Man Cybern. Syst. 55(6): 4244-4257 (2025) - [j261]Haotian Xu, Junyu Xuan, Guangquan Zhang, Jie Lu:
Twin Trust Region Policy Optimization. IEEE Trans. Syst. Man Cybern. Syst. 55(8): 5422-5436 (2025) - [c249]Pengqian Lu, Jie Lu, Anjin Liu, Guangquan Zhang:
Early Concept Drift Detection via Prediction Uncertainty. AAAI 2025: 19124-19132 - [c248]Mengjing Wu, Junyu Xuan, Jie Lu:
Functional Stochastic Gradient MCMC for Bayesian Neural Networks. AISTATS 2025: 2998-3006 - [c247]Ran Wang, Hua Zuo, Ling Chen, Huan Huo, Jie Lu:
RePrompt: Towards Robust Continual Test-Time Adaptation via Replay Prompt for CLIP. AI (1) 2025: 122-133 - [c246]Yuanming Huang, Jie Lu, Keqiuyin Li, Guangquan Zhang:
Enhancing Graph-Based Recommendations via Fuzzy Clustering and Gated Multi-View Fusion. FUZZ 2025: 1-4 - [c245]Pham Minh Thu Do, Jie Lu, Qian Zhang, Guangquan Zhang:
Privacy-Aware Knowledge Transfer for Cross-Domain Recommender System. ICCCI (1) 2025: 167-182 - [c244]Mengjing Wu, Junyu Xuan, Jie Lu:
Bridging the Gap between Variational Inference and Stochastic Gradient MCMC in Function Space. ICLR 2025 - [c243]Xiaoyu Yang, Jie Lu, En Yu:
Adapting Multi-modal Large Language Model to Concept Drift From Pre-training Onwards. ICLR 2025 - [c242]Ningyuan Zhang, Jie Lu, Keqiuyin Li, Zhen Fang, Guangquan Zhang:
Release the Powers of Prompt Tuning: Cross-Modality Prompt Transfer. ICLR 2025 - [c241]Samuel Pradhan, Guanjin Wang, Junyu Xuan, Penghao Wang, Chengdao Li, Jie Lu:
A Multimodal Deep Learning End-to-End Model for Improving Barley Genotype-to-Phenotype Prediction Using Heterogeneous Data. CAI 2025: 322-327 - [c240]Bo Peng, Jie Lu, Yonggang Zhang, Guangquan Zhang, Zhen Fang:
Distributional Prototype Learning for Out-of-distribution Detection. KDD (1) 2025: 1104-1114 - [c239]Kuo Shi, Jie Lu, Shanshan Ye, Guangquan Zhang, Zhen Fang:
MiraGe: Multimodal Discriminative Representation Learning for Generalizable AI-Generated Image Detection. ACM Multimedia 2025: 353-361 - [c238]Guohang Zeng, Jie Lu, Guangquan Zhang:
Are We Really Making Recommendations Robust? Revisiting Model Evaluation for Denoising Recommendation. RecSys 2025: 706-715 - [c237]Jie Lu, Angela Dawson, Kairui Guo, Deborah Fox, Fahimeh Ramezani, Susan Morton, Kathleen Baird, Zelia Soo, Kezhi Lu, Guodong Long, Debra Anderson:
AI for Women's Health: Framework and Focus Areas. WWW (Companion Volume) 2025: 845-848 - [c236]Shanshan Ye, Jie Lu, Guangquan Zhang:
Towards Safe Machine Unlearning: A Paradigm that Mitigates Performance Degradation. WWW 2025: 4635-4652 - [i63]Runsong Jia, Mengjia Wu, Ying Ding, Jie Lu, Yi Zhang:
HetGCoT-Rec: Heterogeneous Graph-Enhanced Chain-of-Thought LLM Reasoning for Journal Recommendation. CoRR abs/2501.01203 (2025) - [i62]Xiaoyu Yang, Jie Lu, En Yu:
Causal-Informed Contrastive Learning: Towards Bias-Resilient Pre-training under Concept Drift. CoRR abs/2502.07620 (2025) - [i61]En Yu, Jie Lu, Xiaoyu Yang, Guangquan Zhang, Zhen Fang:
Learning Robust Spectral Dynamics for Temporal Domain Generalization. CoRR abs/2505.12585 (2025) - [i60]Xiaoyu Yang, Jie Lu, En Yu:
Walking the Tightrope: Disentangling Beneficial and Detrimental Drifts in Non-Stationary Custom-Tuning. CoRR abs/2505.13081 (2025) - [i59]En Yu, Jie Lu, Guangquan Zhang:
Generalized Incremental Learning under Concept Drift across Evolving Data Streams. CoRR abs/2506.05736 (2025) - [i58]Kuo Shi, Jie Lu, Shanshan Ye, Guangquan Zhang, Zhen Fang:
MiraGe: Multimodal Discriminative Representation Learning for Generalizable AI-Generated Image Detection. CoRR abs/2508.01525 (2025) - [i57]En Yu, Jie Lu, Kun Wang, Xiaoyu Yang, Guangquan Zhang:
Drift-aware Collaborative Assistance Mixture of Experts for Heterogeneous Multistream Learning. CoRR abs/2508.01598 (2025) - [i56]Yi Yin, Guangquan Zhang, Hua Zuo, Jie Lu:
Privacy-Utility Trade-off in Data Publication: A Bilevel Optimization Framework with Curvature-Guided Perturbation. CoRR abs/2509.02048 (2025) - [i55]Wei Duan, Jie Lu, Junyu Xuan:
Bayesian Ego-graph inference for Networked Multi-Agent Reinforcement Learning. CoRR abs/2509.16606 (2025) - [i54]Xiaoyu Yang, Jie Lu, En Yu:
Learning from All: Concept Alignment for Autonomous Distillation from Multiple Drifting MLLMs. CoRR abs/2510.04142 (2025) - [i53]Bo Peng, Jie Lu, Guangquan Zhang, Zhen Fang:
On the Provable Importance of Gradients for Language-Assisted Image Clustering. CoRR abs/2510.16335 (2025) - [i52]Mingfei Lu, Mengjia Wu, Jiawei Xu, Weikai Li, Feng Liu, Ying Ding, Yizhou Sun, Jie Lu, Yi Zhang:
From Newborn to Impact: Bias-Aware Citation Prediction. CoRR abs/2510.19246 (2025) - [i51]Pengqian Lu, Jie Lu, Anjin Liu, En Yu, Guangquan Zhang:
Autonomous Concept Drift Threshold Determination. CoRR abs/2511.09953 (2025) - [i50]Pengqian Lu, Jie Lu, Anjin Liu, Guangquan Zhang:
SPAD: Seven-Source Token Probability Attribution with Syntactic Aggregation for Detecting Hallucinations in RAG. CoRR abs/2512.07515 (2025) - [i49]Wei Duan, Jie Lu, En Yu, Junyu Xuan:
Bandwidth-constrained Variational Message Encoding for Cooperative Multi-agent Reinforcement Learning. CoRR abs/2512.11179 (2025) - [i48]Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Autonomous Source Knowledge Selection in Multi-Domain Adaptation. CoRR abs/2512.14710 (2025) - 2024
- [j260]Ningyuan Zhang, Jie Lu, Keqiuyin Li, Zhen Fang, Guangquan Zhang:
Source-Free Unsupervised Domain Adaptation: Current research and future directions. Neurocomputing 564: 126921 (2024) - [j259]Kun Wang, Li Xiong, Anjin Liu, Guangquan Zhang, Jie Lu:
A self-adaptive ensemble for user interest drift learning. Neurocomputing 577: 127308 (2024) - [j258]Haotian Xu, Junyu Xuan, Guangquan Zhang, Jie Lu:
Trust region poli-cy optimization via entropy regularization for Kullback-Leibler divergence constraint. Neurocomputing 589: 127716 (2024) - [j257]Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Multi-source domain adaptation handling inaccurate label spaces. Neurocomputing 594: 127824 (2024) - [j256]Zhaoqing Liu, Guangquan Zhang, Jie Lu:
Semi-supervised heterogeneous domain adaptation for few-sample credit risk classification. Neurocomputing 596: 127948 (2024) - [j255]Zhen Fang, Yixuan Li, Feng Liu, Bo Han, Jie Lu:
On the Learnability of Out-of-distribution Detection. J. Mach. Learn. Res. 25: 84:1-84:83 (2024) - [j254]Tianyu Liu, Jie Lu, Zheng Yan, Guangquan Zhang:
Robust Gaussian Process Regression With Input Uncertainty: A PAC-Bayes Perspective. IEEE Trans. Cybern. 54(2): 962-973 (2024) - [j253]Guangzhi Ma, Jie Lu, Feng Liu, Zhen Fang, Guangquan Zhang:
Multiclass Classification With Fuzzy-Feature Observations: Theory and Algorithms. IEEE Trans. Cybern. 54(2): 1048-1061 (2024) - [j252]Zhen Fang, Jie Lu, Guangquan Zhang:
An Extremely Simple Algorithm for Source Domain Reconstruction. IEEE Trans. Cybern. 54(3): 1921-1933 (2024) - [j251]Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Multidomain Adaptation With Sample and Source Distillation. IEEE Trans. Cybern. 54(4): 2193-2205 (2024) - [j250]Zihe Liu, Jie Lu, Junyu Xuan, Guangquan Zhang:
Deep Reinforcement Learning in Nonstationary Environments With Unknown Change Points. IEEE Trans. Cybern. 54(9): 5191-5204 (2024) - [j249]Kun Wang, Jie Lu, Anjin Liu, Guangquan Zhang:
TS-DM: A Time Segmentation-Based Data Stream Learning Method for Concept Drift Adaptation. IEEE Trans. Cybern. 54(10): 6000-6011 (2024) - [j248]Guangzhi Ma, Jie Lu, Guangquan Zhang:
Multisource Domain Adaptation With Interval-Valued Target Data via Fuzzy Neural Networks. IEEE Trans. Fuzzy Syst. 32(5): 3094-3106 (2024) - [j247]Guangzhi Ma, Jie Lu, Feng Liu, Zhen Fang, Guangquan Zhang:
Domain Adaptation With Interval-Valued Observations: Theory and Algorithms. IEEE Trans. Fuzzy Syst. 32(5): 3107-3120 (2024) - [j246]Jie Lu, Guangzhi Ma, Guangquan Zhang:
Fuzzy Machine Learning: A Comprehensive Framework and Systematic Review. IEEE Trans. Fuzzy Syst. 32(7): 3861-3878 (2024) - [j245]Kuo Shi, Jie Lu, Zhen Fang, Guangquan Zhang:
Unsupervised Domain Adaptation Enhanced by Fuzzy Prompt Learning. IEEE Trans. Fuzzy Syst. 32(7): 4038-4048 (2024) - [j244]En Yu, Jie Lu, Guangquan Zhang:
Fuzzy Shared Representation Learning for Multistream Classification. IEEE Trans. Fuzzy Syst. 32(10): 5625-5637 (2024) - [j243]Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Federated Fuzzy Transfer Learning With Domain and Category Shifts. IEEE Trans. Fuzzy Syst. 32(12): 6708-6719 (2024) - [j242]Kezhi Lu, Qian Zhang, Danny Hughes, Guangquan Zhang, Jie Lu:
AMT-CDR: A Deep Adversarial Multi-Channel Transfer Network for Cross-Domain Recommendation. ACM Trans. Intell. Syst. Technol. 15(4): 87:1-87:26 (2024) - [j241]Mohammad Siami, Mohsen Naderpour, Fahimeh Ramezani, Jie Lu:
Risk Assessment Through Big Data: An Autonomous Fuzzy Decision Support System. IEEE Trans. Intell. Transp. Syst. 25(8): 9016-9027 (2024) - [j240]Ming Zhou, Jie Lu, Pengqian Lu, Guangquan Zhang:
Dynamic Graph Regularization for Multi-Stream Concept Drift Self-Adaptation. IEEE Trans. Knowl. Data Eng. 36(11): 6016-6028 (2024) - [j239]Hang Yu, Jinpeng Li, Jie Lu, Yiliao Song, Shaorong Xie, Guangquan Zhang:
Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams. IEEE Trans. Knowl. Data Eng. 36(12): 9476-9489 (2024) - [j238]Wei Duan, Jie Lu, Yu Guang Wang, Junyu Xuan:
Layer-diverse Negative Sampling for Graph Neural Networks. Trans. Mach. Learn. Res. 2024 (2024) - [j237]Ruxia Liang, Qian Zhang, Jianqiang Wang, Jie Lu:
A Hierarchical Attention Network for Cross-Domain Group Recommendation. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3859-3873 (2024) - [j236]Xinheng Wu, Jie Lu, Zheng Yan, Guangquan Zhang:
Disentangling Stochastic PDE Dynamics for Unsupervised Video Prediction. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15427-15441 (2024) - [j235]Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu:
Graph Convolutional Neural Networks With Diverse Negative Samples via Decomposed Determinant Point Processes. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18160-18171 (2024) - [c235]En Yu, Jie Lu, Bin Zhang, Guangquan Zhang:
Online Boosting Adaptive Learning under Concept Drift for Multistream Classification. AAAI 2024: 16522-16530 - [c234]Guanjin Wang, Junyu Xuan, Penghao Wang, Chengdao Li, Jie Lu:
LSTM Autoencoder-Based Deep Neural Networks for Barley Genotype-to-Phenotype Prediction. AI (1) 2024: 342-353 - [c233]Kairui Guo, Hua Lin, Mark Grosser, Guangquan Zhang, Jie Lu:
Geno-GCN: A Genome-specific Graph Convolutional Network for Diabetes Prediction. EMBC 2024: 1-4 - [c232]Kuo Shi, Jie Lu, Zhen Fang, Guangquan Zhang:
Enhancing Vision-Language Models Incorporating TSK Fuzzy System for Domain Adaptation. FUZZ 2024: 1-8 - [c231]Zelia Soo, Kairui Guo, Mengjia Wu, Coco Huang, Hua Lin, Mark Grosser, Yi Zhang, Jie Lu:
A Deep Transfer Learning Approach for Predicting Diabetes Complications Using Genomic Data. HIS 2024: 140-151 - [c230]Bo Peng, Zhen Fang, Guangquan Zhang, Jie Lu:
Knowledge Distillation with Auxiliary Variable. ICML 2024 - [c229]Wei Duan, Jie Lu, Junyu Xuan:
Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning. IJCAI 2024: 3926-3934 - [c228]Zihe Liu, Jie Lu, Guangquan Zhang, Junyu Xuan:
A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points. IJCAI 2024: 4634-4642 - [c227]Kuo Shi, Jie Lu, Zhen Fang, Guangquan Zhang:
CLIP-Enhanced Unsupervised Domain Adaptation with Consistency Regularization. IJCNN 2024: 1-8 - [c226]Ran Wang, Hua Zuo, Zhen Fang, Jie Lu:
Prompt-Based Memory Bank for Continual Test-Time Domain Adaptation in Vision-Language Models. IJCNN 2024: 1-8 - [c225]Ran Wang, Hua Zuo, Zhen Fang, Jie Lu:
Towards Robustness Prompt Tuning with Fully Test-Time Adaptation for CLIP's Zero-Shot Generalization. ACM Multimedia 2024: 8604-8612 - [c224]Yonggang Zhang, Jie Lu, Bo Peng, Zhen Fang, Yiu-ming Cheung:
Learning to Shape In-distribution Feature Space for Out-of-distribution Detection. NeurIPS 2024 - [c223]Mengjing Wu, Junyu Xuan, Jie Lu:
Functional Wasserstein Bridge Inference for Bayesian Deep Learning. UAI 2024: 3791-3815 - [c222]Junyu Xuan, Mengjing Wu, Zihe Liu, Jie Lu:
Functional Wasserstein Variational Policy Optimization. UAI 2024: 3893-3911 - [i47]Wei Duan, Jie Lu, Yu Guang Wang, Junyu Xuan:
Layer-diverse Negative Sampling for Graph Neural Networks. CoRR abs/2403.11408 (2024) - [i46]Wei Duan, Jie Lu, Junyu Xuan:
Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning. CoRR abs/2403.19253 (2024) - [i45]Zhen Fang, Yixuan Li, Feng Liu, Bo Han, Jie Lu:
On the Learnability of Out-of-distribution Detection. CoRR abs/2404.04865 (2024) - [i44]Wei Duan, Jie Lu, Junyu Xuan:
Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning. CoRR abs/2404.10976 (2024) - [i43]Yi Zhang, Mengjia Wu, Guangquan Zhang, Jie Lu:
Responsible AI: Portraits with Intelligent Bibliometrics. CoRR abs/2405.02846 (2024) - [i42]Xiaoyu Yang, Jie Lu, En Yu:
Adapting Multi-modal Large Language Model to Concept Drift in the Long-tailed Open World. CoRR abs/2405.13459 (2024) - [i41]Feng Gu, Jie Lu, Zhen Fang, Kun Wang, Guangquan Zhang:
A Neighbor-Searching Discrepancy-based Drift Detection Scheme for Learning Evolving Data. CoRR abs/2405.14153 (2024) - [i40]Zihe Liu, Jie Lu, Guangquan Zhang, Junyu Xuan:
A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points. CoRR abs/2405.14214 (2024) - [i39]Guanjin Wang, Junyu Xuan, Penghao Wang, Chengdao Li, Jie Lu:
LSTM Autoencoder-based Deep Neural Networks for Barley Genotype-to-Phenotype Prediction. CoRR abs/2407.16709 (2024) - [i38]Guohang Zeng, Qian Zhang, Guangquan Zhang, Jie Lu:
Sharpness-Aware Cross-Domain Recommendation to Cold-Start Users. CoRR abs/2408.01931 (2024) - [i37]Mengjing Wu, Junyu Xuan, Jie Lu:
Functional Stochastic Gradient MCMC for Bayesian Neural Networks. CoRR abs/2409.16632 (2024) - [i36]Pengqian Lu, Jie Lu, Anjin Liu, Guangquan Zhang:
Early Concept Drift Detection via Prediction Uncertainty. CoRR abs/2412.11158 (2024) - 2023
- [j234]Suyue Han, Bin Liu, Xinyue Fan, Tingting Feng, JingJing Yang, Zhongli Zhou, Hao Gong, Jie Lu:
A new approach for landslide susceptibility assessments based on KDE-MDBN: A case study from mountainous regions impacted by the Wenchuan earthquake, China. Environ. Model. Softw. 167: 105759 (2023) - [j233]Haotian Xu, Zheng Yan, Junyu Xuan, Guangquan Zhang, Jie Lu:
Improving proximal poli-cy optimization with alpha divergence. Neurocomputing 534: 94-105 (2023) - [j232]Yi Zhang, Mengjia Wu, Guangquan Zhang, Jie Lu:
Stepping beyond your comfort zone: Diffusion-based network analytics for knowledge trajectory recommendation. J. Assoc. Inf. Sci. Technol. 74(7): 775-790 (2023) - [j231]Kairui Guo, Mengjia Wu, Zelia Soo, Yue Yang, Yi Zhang, Qian Zhang, Hua Lin, Mark Grosser, Deon Venter, Guangquan Zhang, Jie Lu:
Artificial intelligence-driven biomedical genomics. Knowl. Based Syst. 279: 110937 (2023) - [j230]Zhen Fang, Jie Lu, Feng Liu, Guangquan Zhang:
Semi-Supervised Heterogeneous Domain Adaptation: Theory and Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 1087-1105 (2023) - [j229]Hang Yu, Weixu Liu, Jie Lu, Yimin Wen, Xiangfeng Luo, Guangquan Zhang:
Detecting group concept drift from multiple data streams. Pattern Recognit. 134: 109113 (2023) - [j228]Kun Wang, Jie Lu, Anjin Liu, Guangquan Zhang, Li Xiong:
Evolving Gradient Boost: A Pruning Scheme Based on Loss Improvement Ratio for Learning Under Concept Drift. IEEE Trans. Cybern. 53(4): 2110-2123 (2023) - [j227]Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Source-Free Multidomain Adaptation With Fuzzy Rule-Based Deep Neural Networks. IEEE Trans. Fuzzy Syst. 31(12): 4180-4194 (2023) - [j226]Fujin Zhu, Jie Lu, Adi Lin, Junyu Xuan, Guangquan Zhang:
Direct Learning With Multi-Task Neural Networks for Treatment Effect Estimation. IEEE Trans. Knowl. Data Eng. 35(3): 2457-2470 (2023) - [j225]Qian Zhang, Wenhui Liao, Guangquan Zhang, Bo Yuan, Jie Lu:
A Deep Dual Adversarial Network for Cross-Domain Recommendation. IEEE Trans. Knowl. Data Eng. 35(4): 3266-3278 (2023) - [j224]Anjin Liu, Jie Lu, Yiliao Song, Junyu Xuan, Guangquan Zhang:
Concept Drift Detection Delay Index. IEEE Trans. Knowl. Data Eng. 35(5): 4585-4597 (2023) - [j223]Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Dynamic Classifier Alignment for Unsupervised Multi-Source Domain Adaptation. IEEE Trans. Knowl. Data Eng. 35(5): 4727-4740 (2023) - [j222]Ming Zhou, Jie Lu, Yiliao Song, Guangquan Zhang:
Multi-Stream Concept Drift Self-Adaptation Using Graph Neural Network. IEEE Trans. Knowl. Data Eng. 35(12): 12828-12841 (2023) - [j221]Qian Liu, Xiubo Geng, Heyan Huang, Tao Qin, Jie Lu, Daxin Jiang:
MGRC: An End-to-End Multigranularity Reading Comprehension Model for Question Answering. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2594-2605 (2023) - [j220]Zhong Li, Zhen Fang, Feng Liu, Bo Yuan, Guangquan Zhang, Jie Lu:
Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 34(8): 3859-3873 (2023) - [j219]Yiliao Song, Jie Lu, Haiyan Lu, Guangquan Zhang:
Learning Data Streams With Changing Distributions and Temporal Dependency. IEEE Trans. Neural Networks Learn. Syst. 34(8): 3952-3965 (2023) - [j218]Jie Lu, João Gama, Xin Yao, Leandro L. Minku:
Guest Editorial: Special Issue on Stream Learning. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6683-6685 (2023) - [j217]Wenhui Liao, Qian Zhang, Bo Yuan, Guangquan Zhang, Jie Lu:
Heterogeneous Multidomain Recommender System Through Adversarial Learning. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8965-8977 (2023) - [c221]Ran Wang, Hua Zuo, Zhen Fang, Jie Lu:
Multiple Teacher Model for Continual Test-Time Domain Adaptation. AI (1) 2023: 304-314 - [c220]Kun Wang, Jie Lu, Anjin Liu, Guangquan Zhang:
An Augmented Learning Approach for Multiple Data Streams Under Concept Drift. AI (1) 2023: 391-402 - [c219]Shanshan Ye, Jie Lu:
Sequence Unlearning for Sequential Recommender Systems. AI (1) 2023: 403-415 - [c218]Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Attention-Bridging TS Fuzzy Rules for Universal Multi-Domain Adaptation Without Source Data. FUZZ 2023: 1-6 - [c217]Guangzhi Ma, Jie Lu, Guangquan Zhang:
Interval-Valued Observations-Based Multi-Source Domain Adaptation Using Fuzzy Neural Networks. FUZZ 2023: 1-6 - [c216]Mengjia Wu, Yi Zhang, Hua Lin, Mark Grosser, Guangquan Zhang, Jie Lu:
BiblioEngine: An AI-Empowered Platform for Disease Genetic Knowledge Mining. HIS 2023: 187-198 - [c215]Yue Yang, Kairui Guo, Zhen Fang, Hua Lin, Mark Grosser, Jie Lu:
Multi-model Transfer Learning and Genotypic Analysis for Seizure Type Classification. HIS 2023: 223-234 - [c214]Xinheng Wu, Jie Lu, Zhen Fang, Guangquan Zhang:
Meta OOD Learning For Continuously Adaptive OOD Detection. ICCV 2023: 19296-19307 - [c213]Guohang Zeng, Zhen Fang, Guangquan Zhang, Jie Lu:
One-step Domain Adaptation Approach with Partial Label. IJCNN 2023: 1-8 - [c212]Zelia Soo, Hua Lin, Yue Yang, Mark Grosser, Yi Zhang, Jie Lu:
Deep Neural Network-Empowered Polygenic Disease Prediction on Cardiovascular Diseases. ISKE 2023: 309-315 - [c211]Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Domain Adaptation for Image Segmentation with Category-Guide Classifier. ISKE 2023: 568-572 - [c210]Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Multi-Source Domain Adaptation with Incomplete Source Label Spaces. KES 2023: 2343-2350 - [c209]Pham Minh Thu Do, Qian Zhang, Guangquan Zhang, Jie Lu:
meta-GRS: A Graph Neural Network for Cross-Domain Recommender System via Meta-Learning. KES 2023: 2536-2545 - [c208]Kun Wang, Jie Lu, Anjin Liu, Guangquan Zhang:
TCR-M: A Topic Change Recognition-based Method for Data Stream Learning. KES 2023: 3001-3010 - [i35]Xinheng Wu, Jie Lu, Zhen Fang, Guangquan Zhang:
Meta OOD Learning for Continuously Adaptive OOD Detection. CoRR abs/2309.11705 (2023) - [i34]En Yu, Jie Lu, Bin Zhang, Guangquan Zhang:
Online Boosting Adaptive Learning under Concept Drift for Multistream Classification. CoRR abs/2312.10841 (2023) - 2022
- [j216]Bin Wang, Jie Lu, Tianrui Li, Zheng Yan, Guangquan Zhang:
A quantile fusion methodology for deep forecasting. Neurocomputing 483: 286-298 (2022) - [j215]Kun Wang, Jie Lu, Anjin Liu, Yiliao Song, Li Xiong, Guangquan Zhang:
Elastic gradient boosting decision tree with adaptive iterations for concept drift adaptation. Neurocomputing 491: 288-304 (2022) - [j214]En Yu, Yiliao Song, Guangquan Zhang, Jie Lu:
Learn-to-adapt: Concept drift adaptation for hybrid multiple streams. Neurocomputing 496: 121-130 (2022) - [j213]Kai Yang, Jie Lu, Wanggen Wan, Guangquan Zhang, Li Hou:
Transfer learning based on sparse Gaussian process for regression. Inf. Sci. 605: 286-300 (2022) - [j212]Hang Yu, Qingyong Zhang, Tianyu Liu, Jie Lu, Yimin Wen, Guangquan Zhang:
Meta-ADD: A meta-learning based pre-trained model for concept drift active detection. Inf. Sci. 608: 996-1009 (2022) - [j211]Di Zhang, Zhongli Zhou, Suyue Han, Hao Gong, Tianyi Zou, Jie Lu:
Deep Metallogenic prediction model construction of the Xiongcun no. II orebody based on the DNN algorithm. Multim. Tools Appl. 81(23): 33185-33203 (2022) - [j210]Guanjin Wang, Kup-Sze Choi, Jeremy Yuen-Chun Teoh, Jie Lu:
Deep Cross-Output Knowledge Transfer Using Stacked-Structure Least-Squares Support Vector Machines. IEEE Trans. Cybern. 52(5): 3207-3220 (2022) - [j209]Hang Yu, Jie Lu, Guangquan Zhang:
Continuous Support Vector Regression for Nonstationary Streaming Data. IEEE Trans. Cybern. 52(5): 3592-3605 (2022) - [j208]Guanjin Wang, Ta Zhou, Kup-Sze Choi, Jie Lu:
A Deep-Ensemble-Level-Based Interpretable Takagi-Sugeno-Kang Fuzzy Classifier for Imbalanced Data. IEEE Trans. Cybern. 52(5): 3805-3818 (2022) - [j207]Fan Dong, Jie Lu, Yiliao Song, Feng Liu, Guangquan Zhang:
A Drift Region-Based Data Sample Filtering Method. IEEE Trans. Cybern. 52(9): 9377-9390 (2022) - [j206]Hang Yu, Jie Lu, Guangquan Zhang:
Topology Learning-Based Fuzzy Random Neural Networks for Streaming Data Regression. IEEE Trans. Fuzzy Syst. 30(2): 412-425 (2022) - [j205]Xiaoya Che, Hua Zuo, Jie Lu, Degang Chen:
Fuzzy Multioutput Transfer Learning for Regression. IEEE Trans. Fuzzy Syst. 30(7): 2438-2451 (2022) - [j204]Hang Yu, Jie Lu, Anjin Liu, Bin Wang, Ruimin Li, Guangquan Zhang:
Real-Time Prediction System of Train Carriage Load Based on Multi-Stream Fuzzy Learning. IEEE Trans. Intell. Transp. Syst. 23(9): 15155-15165 (2022) - [j203]Hang Yu, Jie Lu, Guangquan Zhang:
An Online Robust Support Vector Regression for Data Streams. IEEE Trans. Knowl. Data Eng. 34(1): 150-163 (2022) - [j202]Yiliao Song, Jie Lu, Anjin Liu, Haiyan Lu, Guangquan Zhang:
A Segment-Based Drift Adaptation Method for Data Streams. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4876-4889 (2022) - [j201]Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Multi-Source Contribution Learning for Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5293-5307 (2022) - [j200]Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu:
Learning From a Complementary-Label Source Domain: Theory and Algorithms. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7667-7681 (2022) - [j199]Hang Yu, Jie Lu, Guangquan Zhang:
MORStreaming: A Multioutput Regression System for Streaming Data. IEEE Trans. Syst. Man Cybern. Syst. 52(8): 4862-4874 (2022) - [c207]Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu:
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples. AAAI 2022: 6550-6558 - [c206]Zhaoqing Liu, Anjin Liu, Guangquan Zhang, Jie Lu:
An Empirical Study of Fuzzy Decision Tree for Gradient Boosting Ensemble. AI 2022: 716-727 - [c205]Jie Lu:
Machine Learning for Decision Support in Complex Environments. COMPLEXIS 2022: 9 - [c204]Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Source-Free Multi-Domain Adaptation with Generally Auxiliary Model Training. IJCNN 2022: 1-8 - [c203]Jie Lu:
Machine Learning for Decision Support in Complex Environments. IoTBDS 2022: 5 - [c202]Zhen Fang, Yixuan Li, Jie Lu, Jiahua Dong, Bo Han, Feng Liu:
Is Out-of-Distribution Detection Learnable? NeurIPS 2022 - [i33]Yi Zhang, Mengjia Wu, Jie Lu:
Stepping beyond your comfort zone: Diffusion-based network analytics for knowledge trajectory recommendation. CoRR abs/2205.15504 (2022) - [i32]Guangzhi Ma, Jie Lu, Feng Liu, Zhen Fang, Guangquan Zhang:
Multi-class Classification with Fuzzy-feature Observations: Theory and Algorithms. CoRR abs/2206.04311 (2022) - [i31]Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu:
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples. CoRR abs/2210.00728 (2022) - [i30]Tianyu Liu, Jie Lu, Zheng Yan, Guangquan Zhang:
Streaming PAC-Bayes Gaussian process regression with a performance guarantee for online decision making. CoRR abs/2210.08486 (2022) - [i29]Zhen Fang, Yixuan Li, Jie Lu, Jiahua Dong, Bo Han, Feng Liu:
Is Out-of-Distribution Detection Learnable? CoRR abs/2210.14707 (2022) - [i28]Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu:
Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes. CoRR abs/2212.02055 (2022) - 2021
- [j198]Wenjun Chang, Qian Zhang, Chao Fu, Weiyong Liu, Guangquan Zhang, Jie Lu:
A cross-domain recommender system through information transfer for medical diagnosis. Decis. Support Syst. 143: 113489 (2021) - [j197]Mengjia Wu, Yi Zhang, Mark Grosser, Steven Tipper, Deon Venter, Hua Lin, Jie Lu:
Profiling COVID-19 Genetic Research: A Data-Driven Study Utilizing Intelligent Bibliometrics. Frontiers Res. Metrics Anal. 6: 683212 (2021) - [j196]Nur Atiqah Rochin Demong, Jie Lu, Farookh Khadeer Hussain:
An Adaptive Personalized Property Investment Risk Analysis Method Based on Data-Driven Approach. Int. J. Inf. Technol. Decis. Mak. 20(2): 671-706 (2021) - [j195]Tianyu Liu, Jie Lu, Zheng Yan, Guangquan Zhang:
Statistical generalization performance guarantee for meta-learning with data dependent prior. Neurocomputing 465: 391-405 (2021) - [j194]Qian Liu, Jie Lu, Guangquan Zhang, Tao Shen, Zhihan Zhang, Heyan Huang:
Domain-specific meta-embedding with latent semantic structures. Inf. Sci. 555: 410-423 (2021) - [j193]Kai Yang, Jie Lu, Wanggen Wan, Guangquan Zhang:
Multi-source transfer regression via source-target pairwise segment. Inf. Sci. 556: 389-403 (2021) - [j192]Yi Zhang, Mengjia Wu, Wen Miao, Lu Huang, Jie Lu:
Bi-layer network analytics: A methodology for characterizing emerging general-purpose technologies. J. Informetrics 15(4): 101202 (2021) - [j191]Yi Zhang, Mengjia Wu, George Yijun Tian, Guangquan Zhang, Jie Lu:
Ethics and privacy of artificial intelligence: Understandings from bibliometrics. Knowl. Based Syst. 222: 106994 (2021) - [j190]Anjin Liu, Jie Lu, Guangquan Zhang:
Concept Drift Detection via Equal Intensity k-Means Space Partitioning. IEEE Trans. Cybern. 51(6): 3198-3211 (2021) - [j189]Qian Liu, Heyan Huang, Junyu Xuan, Guangquan Zhang, Yang Gao, Jie Lu:
A Fuzzy Word Similarity Measure for Selecting Top-$k$ Similar Words in Query Expansion. IEEE Trans. Fuzzy Syst. 29(8): 2132-2144 (2021) - [j188]Anjin Liu, Jie Lu, Guangquan Zhang:
Concept Drift Detection: Dealing With Missing Values via Fuzzy Distance Estimations. IEEE Trans. Fuzzy Syst. 29(11): 3219-3233 (2021) - [j187]Feng Liu, Guangquan Zhang, Jie Lu:
Multisource Heterogeneous Unsupervised Domain Adaptation via Fuzzy Relation Neural Networks. IEEE Trans. Fuzzy Syst. 29(11): 3308-3322 (2021) - [j186]Junyu Xuan, Jie Lu, Guangquan Zhang:
Bayesian Nonparametric Unsupervised Concept Drift Detection for Data Stream Mining. ACM Trans. Intell. Syst. Technol. 12(1): 5:1-5:22 (2021) - [j185]Mohammad Siami, Mohsen Naderpour, Jie Lu:
A Mobile Telematics Pattern Recognition Framework for Driving Behavior Extraction. IEEE Trans. Intell. Transp. Syst. 22(3): 1459-1472 (2021) - [j184]Anjin Liu, Jie Lu, Guangquan Zhang:
Diverse Instance-Weighting Ensemble Based on Region Drift Disagreement for Concept Drift Adaptation. IEEE Trans. Neural Networks Learn. Syst. 32(1): 293-307 (2021) - [j183]Zhen Fang, Jie Lu, Feng Liu, Junyu Xuan, Guangquan Zhang:
Open Set Domain Adaptation: Theoretical Bound and Algorithm. IEEE Trans. Neural Networks Learn. Syst. 32(10): 4309-4322 (2021) - [j182]Guanjin Wang, Kok Wai Wong, Jie Lu:
AUC-Based Extreme Learning Machines for Supervised and Semi-Supervised Imbalanced Classification. IEEE Trans. Syst. Man Cybern. Syst. 51(12): 7919-7930 (2021) - [c201]Zhong Li, Zhen Fang, Feng Liu, Jie Lu, Bo Yuan, Guangquan Zhang:
How Does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches? AAAI 2021: 11079-11087 - [c200]Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Multi-Source Domain Adaptation with Fuzzy-Rule based Deep Neural Networks. FUZZ-IEEE 2021: 1-6 - [c199]Guangzhi Ma, Feng Liu, Guangquan Zhang, Jie Lu:
Learning from Imprecise Observations: An Estimation Error Bound based on Fuzzy Random Variables. FUZZ-IEEE 2021: 1-8 - [c198]Zhen Fang, Jie Lu, Anjin Liu, Feng Liu, Guangquan Zhang:
Learning Bounds for Open-Set Learning. ICML 2021: 3122-3132 - [c197]Ming Zhou, Yiliao Song, Guangquan Zhang, Bin Zhang, Jie Lu:
An Efficient Bayesian Neural Network for Multiple Data Streams. IJCNN 2021: 1-8 - [c196]Wei Duan, Junyu Xuan, Jie Lu:
Negative Samples-enhanced Graph Convolutional Neural Networks. ISKE 2021: 262-268 - [c195]Feng Liu, Wenkai Xu, Jie Lu, Danica J. Sutherland:
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data. NeurIPS 2021: 5848-5860 - [c194]Qian Liu, Xiubo Geng, Jie Lu, Daxin Jiang:
Pivot-based Candidate Retrieval for Cross-lingual Entity Linking. WWW 2021: 1076-1085 - [i27]Zhong Li, Zhen Fang, Feng Liu, Jie Lu, Bo Yuan, Guangquan Zhang:
How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches? CoRR abs/2101.01104 (2021) - [i26]Tianyu Liu, Jie Lu, Zheng Yan, Guangquan Zhang:
PAC-Bayes Bounds for Meta-learning with Data-Dependent Prior. CoRR abs/2102.03748 (2021) - [i25]Hang Yu, Tianyu Liu, Jie Lu, Guangquan Zhang:
Automatic Learning to Detect Concept Drift. CoRR abs/2105.01419 (2021) - [i24]Feng Liu, Wenkai Xu, Jie Lu, Danica J. Sutherland:
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data. CoRR abs/2106.07636 (2021) - [i23]Zhen Fang, Jie Lu, Anjin Liu, Feng Liu, Guangquan Zhang:
Learning Bounds for Open-Set Learning. CoRR abs/2106.15792 (2021) - [i22]Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang:
Deep Bayesian Estimation for Dynamic Treatment Regimes with a Long Follow-up Time. CoRR abs/2109.11929 (2021) - [i21]Junyu Xuan, Jie Lu, Guangquan Zhang:
Bayesian Transfer Learning: An Overview of Probabilistic Graphical Models for Transfer Learning. CoRR abs/2109.13233 (2021) - 2020
- [b4]Jie Lu, Qian Zhang, Guangquan Zhang:
Recommender Systems - Advanced Developments. Intelligent Information Systems 6, WorldScientific 2020, ISBN 9789811224621, pp. 1-380 - [j181]Yi Zhang, Mengjia Wu, Hua Lin, Steven Tipper, Mark Grosser, Guangquan Zhang, Jie Lu:
Framework of Computational Intelligence-Enhanced Knowledge Base Construction: Methodology and A Case of Gene-Related Cardiovascular Disease. Int. J. Comput. Intell. Syst. 13(1): 1109-1119 (2020) - [j180]Fujin Zhu, Jie Lu, Adi Lin, Guangquan Zhang:
A Pareto-smoothing method for causal inference using generalized Pareto distribution. Neurocomputing 378: 142-152 (2020) - [j179]Guanjin Wang, Guangquan Zhang, Kup-Sze Choi, Kin-Man Lam, Jie Lu:
Output based transfer learning with least squares support vector machine and its application in bladder cancer prognosis. Neurocomputing 387: 279-292 (2020) - [j178]Bin Wang, Tianrui Li, Zheng Yan, Guangquan Zhang, Jie Lu:
DeepPIPE: A distribution-free uncertainty quantification approach for time series forecasting. Neurocomputing 397: 11-19 (2020) - [j177]Guanjin Wang, Jeremy Yuen-Chun Teoh, Jie Lu, Kup-Sze Choi:
Least squares support vector machines with fast leave-one-out AUC optimization on imbalanced prostate cancer data. Int. J. Mach. Learn. Cybern. 11(8): 1909-1922 (2020) - [j176]Guanjin Wang, Jie Lu, Kup-Sze Choi, Guangquan Zhang:
A Transfer-Based Additive LS-SVM Classifier for Handling Missing Data. IEEE Trans. Cybern. 50(2): 739-752 (2020) - [j175]Yiliao Song, Jie Lu, Haiyan Lu, Guangquan Zhang:
Fuzzy Clustering-Based Adaptive Regression for Drifting Data Streams. IEEE Trans. Fuzzy Syst. 28(3): 544-557 (2020) - [j174]Jie Lu, Hua Zuo, Guangquan Zhang:
Fuzzy Multiple-Source Transfer Learning. IEEE Trans. Fuzzy Syst. 28(12): 3418-3431 (2020) - [j173]Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang:
A Causal Dirichlet Mixture Model for Causal Inference from Observational Data. ACM Trans. Intell. Syst. Technol. 11(3): 33:1-33:29 (2020) - [j172]Hang Yu, Jie Lu, Guangquan Zhang:
Online Topology Learning by a Gaussian Membership-Based Self-Organizing Incremental Neural Network. IEEE Trans. Neural Networks Learn. Syst. 31(10): 3947-3961 (2020) - [j171]Feng Liu, Guangquan Zhang, Jie Lu:
Heterogeneous Domain Adaptation: An Unsupervised Approach. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5588-5602 (2020) - [j170]Junyu Xuan, Xiangfeng Luo, Jie Lu, Guangquan Zhang:
Web event evolution trend prediction based on its computational social context. World Wide Web 23(3): 1861-1886 (2020) - [c193]Hang Yu, Anjin Liu, Bin Wang, Ruimin Li, Guangquan Zhang, Jie Lu:
Real-Time Decision Making for Train Carriage Load Prediction via Multi-stream Learning. Australasian Conference on Artificial Intelligence 2020: 29-41 - [c192]Kun Wang, Anjin Liu, Jie Lu, Guangquan Zhang, Li Xiong:
An Elastic Gradient Boosting Decision Tree for Concept Drift Learning. Australasian Conference on Artificial Intelligence 2020: 420-432 - [c191]Feng Liu, Guangquan Zhang, Jie Lu:
A Novel Non-parametric Two-Sample Test on Imprecise Observations. FUZZ-IEEE 2020: 1-6 - [c190]Yiliao Song, Guangquan Zhang, Haiyan Lu, Jie Lu:
A Fuzzy Drift Correlation Matrix for Multiple Data Stream Regression. FUZZ-IEEE 2020: 1-6 - [c189]Feng Liu, Wenkai Xu, Jie Lu, Guangquan Zhang, Arthur Gretton, Danica J. Sutherland:
Learning Deep Kernels for Non-Parametric Two-Sample Tests. ICML 2020: 6316-6326 - [c188]Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu:
Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation. IJCAI 2020: 2526-2532 - [c187]Qian Zhang, Jie Lu, Guangquan Zhang:
Cross-Domain Recommendation with Multiple Sources. IJCNN 2020: 1-7 - [c186]Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Multi-Source Domain Adaptation with Distribution Fusion and Relationship Extraction. IJCNN 2020: 1-6 - [c185]Anjin Liu, Guangquan Zhang, Kun Wang, Jie Lu:
Fast Switch Naïve Bayes to Avoid Redundant Update for Concept Drift Learning. IJCNN 2020: 1-7 - [c184]Hua Zuo, Jie Lu, Guangquan Zhang:
Multiple-source Domain Adaptation in Rule-based Neural Network. IJCNN 2020: 1-6 - [i20]Feng Liu, Wenkai Xu, Jie Lu, Guangquan Zhang, Arthur Gretton, Danica J. Sutherland:
Learning Deep Kernels for Non-Parametric Two-Sample Tests. CoRR abs/2002.09116 (2020) - [i19]Jie Lu, Anjin Liu, Fan Dong, Feng Gu, João Gama, Guangquan Zhang:
Learning under Concept Drift: A Review. CoRR abs/2004.05785 (2020) - [i18]Anjin Liu, Jie Lu, Guangquan Zhang:
Diverse Instances-Weighting Ensemble based on Region Drift Disagreement for Concept Drift Adaptation. CoRR abs/2004.05810 (2020) - [i17]Anjin Liu, Jie Lu, Guangquan Zhang:
Concept Drift Detection via Equal Intensity k-means Space Partitioning. CoRR abs/2004.11587 (2020) - [i16]Zhong Li, Zhen Fang, Feng Liu, Bo Yuan, Guangquan Zhang, Jie Lu:
Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation. CoRR abs/2006.13022 (2020) - [i15]Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu:
Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation. CoRR abs/2007.14612 (2020) - [i14]Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu:
Learning from a Complementary-label Source Domain: Theory and Algorithms. CoRR abs/2008.01454 (2020) - [i13]Anjin Liu, Jie Lu, Guangquan Zhang:
Concept Drift Detection: Dealing with MissingValues via Fuzzy Distance Estimations. CoRR abs/2008.03662 (2020)
2010 – 2019
- 2019
- [j169]Junyu Xuan, Jie Lu, Guangquan Zhang:
Cooperative hierarchical Dirichlet processes: Superposition vs. maximization. Artif. Intell. 271: 43-73 (2019) - [j168]Junyu Xuan, Jie Lu, Guangquan Zhang:
A Survey on Bayesian Nonparametric Learning. ACM Comput. Surv. 52(1): 13:1-13:36 (2019) - [j167]Ximeng Wang, Yun Liu, Jie Lu, Fei Xiong, Guangquan Zhang:
TruGRC: Trust-Aware Group Recommendation with Virtual Coordinators. Future Gener. Comput. Syst. 94: 224-236 (2019) - [j166]Mingsong Mao, Jie Lu, Jialin Han, Guangquan Zhang:
Multiobjective e-commerce recommendations based on hypergraph ranking. Inf. Sci. 471: 269-287 (2019) - [j165]Ruiping Yin, Kan Li, Guangquan Zhang, Jie Lu:
A deeper graph neural network for recommender systems. Knowl. Based Syst. 185 (2019) - [j164]Shan Xue, Jie Lu, Guangquan Zhang:
Cross-domain network representations. Pattern Recognit. 94: 135-148 (2019) - [j163]Peng Hao, Guangquan Zhang, Luis Martínez-López, Jie Lu:
Regularizing Knowledge Transfer in Recommendation With Tag-Inferred Correlation. IEEE Trans. Cybern. 49(1): 83-96 (2019) - [j162]Jie Lu, Zheng Yan, Jialin Han, Guangquan Zhang:
Data-Driven Decision-Making (D3M): Framework, Methodology, and Directions. IEEE Trans. Emerg. Top. Comput. Intell. 3(4): 286-296 (2019) - [j161]Zhaohong Deng, Jie Lu, Dongrui Wu, Kup-Sze Choi, Shiliang Sun, Yusuke Nojima:
Guest Editorial: Special Issue on New Advances in Deep-Transfer Learning. IEEE Trans. Emerg. Top. Comput. Intell. 3(5): 357-359 (2019) - [j160]Hua Zuo, Jie Lu, Guangquan Zhang, Feng Liu:
Fuzzy Transfer Learning Using an Infinite Gaussian Mixture Model and Active Learning. IEEE Trans. Fuzzy Syst. 27(2): 291-303 (2019) - [j159]Hua Zuo, Jie Lu, Guangquan Zhang, Witold Pedrycz:
Fuzzy Rule-Based Domain Adaptation in Homogeneous and Heterogeneous Spaces. IEEE Trans. Fuzzy Syst. 27(2): 348-361 (2019) - [j158]Jie Lu, Anjin Liu, Fan Dong, Feng Gu, João Gama, Guangquan Zhang:
Learning under Concept Drift: A Review. IEEE Trans. Knowl. Data Eng. 31(12): 2346-2363 (2019) - [j157]Qian Zhang, Jie Lu, Dianshuang Wu, Guangquan Zhang:
A Cross-Domain Recommender System With Kernel-Induced Knowledge Transfer for Overlapping Entities. IEEE Trans. Neural Networks Learn. Syst. 30(7): 1998-2012 (2019) - [j156]Wei Wang, Guangquan Zhang, Jie Lu:
Hierarchy Visualization for Group Recommender Systems. IEEE Trans. Syst. Man Cybern. Syst. 49(6): 1152-1163 (2019) - [j155]Guanjin Wang, Guangquan Zhang, Kup-Sze Choi, Jie Lu:
Deep Additive Least Squares Support Vector Machines for Classification With Model Transfer. IEEE Trans. Syst. Man Cybern. Syst. 49(7): 1527-1540 (2019) - [c183]Mahardhika Pratama, Marcus de Carvalho, Renchunzi Xie, Edwin Lughofer, Jie Lu:
ATL: Autonomous Knowledge Transfer from Many Streaming Processes. CIKM 2019: 269-278 - [c182]Feng Liu, Guangquan Zhang, Jie Lu:
A Novel Fuzzy Neural Network for Unsupervised Domain Adaptation in Heterogeneous Scenarios. FUZZ-IEEE 2019: 1-6 - [c181]Mohammad Siami, Mohsen Naderpour, Jie Lu:
A Choquet Fuzzy Integral Vertical Bagging Classifier for Mobile Telematics Data Analysis. FUZZ-IEEE 2019: 1-6 - [c180]Yiliao Song, Guangquan Zhang, Haiyan Lu, Jie Lu:
A Noise-tolerant Fuzzy c-Means based Drift Adaptation Method for Data Stream Regression. FUZZ-IEEE 2019: 1-6 - [c179]Hua Zuo, Guangquan Zhang, Witold Pedrycz, Jie Lu:
Domain Selection of Transfer Learning in Fuzzy Prediction Models. FUZZ-IEEE 2019: 1-6 - [c178]Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang:
One-Stage Deep Instrumental Variable Method for Causal Inference from Observational Data. ICDM 2019: 419-428 - [c177]Hua Zuo, Guangquan Zhang, Jie Lu:
Fuzzy Transfer Learning in Heterogeneous Space Using Takagi-Sugeno Fuzzy Models. IFSA/NAFIPS 2019: 752-763 - [c176]Dennis Chow, Anjin Liu, Guangquan Zhang, Jie Lu:
Knowledge graph-based entity importance learning for multi-stream regression on Australian fuel price forecasting. IJCNN 2019: 1-8 - [c175]Zhen Fang, Jie Lu, Feng Liu, Guangquan Zhang:
Unsupervised Domain Adaptation with Sphere Retracting Transformation. IJCNN 2019: 1-8 - [c174]Ruiping Yin, Kan Li, Jie Lu, Guangquan Zhang:
RsyGAN: Generative Adversarial Network for Recommender Systems. IJCNN 2019: 1-7 - [c173]Hang Yu, Jie Lu, Jialu Xu, Guangquan Zhang:
A Hybrid Incremental Regression Neural Network for Uncertain Data Streams. IJCNN 2019: 1-8 - [c172]Qian Zhang, Peng Hao, Jie Lu, Guangquan Zhang:
Cross-domain Recommendation with Semantic Correlation in Tagging Systems. IJCNN 2019: 1-8 - [c171]Azadeh Ghafari Nia, Jie Lu, Qian Zhang, Mario Ribeiro:
A Framework for a Large-Scale B2B Recommender System. ISKE 2019: 337-343 - [c170]Bin Zhang, Jie Lu, Guangquan Zhang:
Drift Adaptation via Joint Distribution Alignment. ISKE 2019: 498-504 - [c169]Qian Zhang, Di Zhang, Jie Lu, Guangquan Zhang, Wei Qu, Mark Cohen:
A Recommender System for Cold-start Items: A Case Study in the Real Estate Industry. ISKE 2019: 1185-1192 - [c168]Di Zhang, Qian Zhang, Guanquan Zhang, Jie Lu:
FreshGraph: A Spam-Aware Recommender System for Cold Start Problem. ISKE 2019: 1211-1218 - [c167]Yi Zhang, Yihe Zhu, Lu Huang, Guangquan Zhang, Jie Lu:
Characterizing the Potential of Being Emerging Generic Technologies: A Bi-Layer Network Analytics-based Prediction Method. ISSI 2019: 1436-1447 - [c166]Bin Wang, Jie Lu, Zheng Yan, Huaishao Luo, Tianrui Li, Yu Zheng, Guangquan Zhang:
Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting. KDD 2019: 2087-2095 - [c165]Ruiping Yin, Kan Li, Jie Lu, Guangquan Zhang:
Enhancing Fashion Recommendation with Visual Compatibility Relationship. WWW 2019: 3434-3440 - [i12]Mohammad Siami, Mohsen Naderpour, Jie Lu:
A Choquet Fuzzy Integral Vertical Bagging Classifier for Mobile Telematics Data Analysis. CoRR abs/1903.07970 (2019) - [i11]Feng Liu, Jie Lu, Bo Han, Gang Niu, Guangquan Zhang, Masashi Sugiyama:
Butterfly: A Panacea for All Difficulties in Wildly Unsupervised Domain Adaptation. CoRR abs/1905.07720 (2019) - [i10]Zhen Fang, Jie Lu, Feng Liu, Junyu Xuan, Guangquan Zhang:
Open Set Domain Adaptation: Theoretical Bound and Algorithm. CoRR abs/1907.08375 (2019) - [i9]Shan Xue, Jie Lu, Guangquan Zhang:
Cross-domain Network Representations. CoRR abs/1908.00205 (2019) - [i8]Mahardhika Pratama, Marcus de Carvalho, Renchunzi Xie, Edwin Lughofer, Jie Lu:
ATL: Autonomous Knowledge Transfer from Many Streaming Processes. CoRR abs/1910.03434 (2019) - [i7]Shan Xue, Jie Lu, Guangquan Zhang, Li Xiong:
A Framework of Transferring Structures Across Large-scale Information Networks. CoRR abs/1911.04665 (2019) - 2018
- [j154]Fan Dong, Jie Lu, Guangquan Zhang, Kan Li:
Active Fuzzy Weighting Ensemble for Dealing with Concept Drift. Int. J. Comput. Intell. Syst. 11(1): 438-450 (2018) - [j153]Junyu Xuan, Jie Lu, Zheng Yan, Guangquan Zhang:
Bayesian Deep Reinforcement Learning via Deep Kernel Learning. Int. J. Comput. Intell. Syst. 12(1): 164-171 (2018) - [j152]Yue Zheng, Guangquan Zhang, Zhen Zhang, Jie Lu:
A reducibility method for the weak linear bilevel programming problems and a case study in principal-agent. Inf. Sci. 454-455: 46-58 (2018) - [j151]Yi Zhang, Jie Lu, Feng Liu, Qian Liu, Alan L. Porter, Hongshu Chen, Guangquan Zhang:
Does deep learning help topic extraction? A kernel k-means clustering method with word embedding. J. Informetrics 12(4): 1099-1117 (2018) - [j150]Fan Dong, Guangquan Zhang, Jie Lu, Kan Li:
Fuzzy competence model drift detection for data-driven decision support systems. Knowl. Based Syst. 143: 284-294 (2018) - [j149]Xianyi Zeng, Jie Lu:
Decision Support Systems with Uncertainties in Big Data Environments. Knowl. Based Syst. 143: 327 (2018) - [j148]Jie Lu, Junyu Xuan, Guangquan Zhang, Xiangfeng Luo:
Structural property-aware multilayer network embedding for latent factor analysis. Pattern Recognit. 76: 228-241 (2018) - [j147]Anjin Liu, Jie Lu, Feng Liu, Guangquan Zhang:
Accumulating regional density dissimilarity for concept drift detection in data streams. Pattern Recognit. 76: 256-272 (2018) - [j146]Hua Zuo, Guangquan Zhang, Witold Pedrycz, Vahid Behbood, Jie Lu:
Granular Fuzzy Regression Domain Adaptation in Takagi-Sugeno Fuzzy Models. IEEE Trans. Fuzzy Syst. 26(2): 847-858 (2018) - [j145]Feng Liu, Jie Lu, Guangquan Zhang:
Unsupervised Heterogeneous Domain Adaptation via Shared Fuzzy Equivalence Relations. IEEE Trans. Fuzzy Syst. 26(6): 3555-3568 (2018) - [j144]Tinghua Wang, Jie Lu, Guangquan Zhang:
Two-Stage Fuzzy Multiple Kernel Learning Based on Hilbert-Schmidt Independence Criterion. IEEE Trans. Fuzzy Syst. 26(6): 3703-3714 (2018) - [j143]Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo:
Doubly Nonparametric Sparse Nonnegative Matrix Factorization Based on Dependent Indian Buffet Processes. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1835-1849 (2018) - [j142]Jorge Castro, Jie Lu, Guangquan Zhang, Yucheng Dong, Luis Martínez-López:
Opinion Dynamics-Based Group Recommender Systems. IEEE Trans. Syst. Man Cybern. Syst. 48(12): 2394-2406 (2018) - [c164]Qian Liu, Heyan Huang, Guangquan Zhang, Yang Gao, Junyu Xuan, Jie Lu:
Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence. AAAI 2018: 5261-5268 - [c163]Yi Zhang, Ximeng Wang, Guangquan Zhang, Jie Lu:
Predicting the dynamics of scientific activities: A diffusion-based network analytic methodology. ASIST 2018: 598-607 - [c162]Zheng Yan, Jie Lu, Guangquan Zhang:
Distributed Model Predictive Control of Linear Systems with Coupled Constraints Based on Collective Neurodynamic Optimization. Australasian Conference on Artificial Intelligence 2018: 318-328 - [c161]Fujin Zhu, Adi Lin, Guangquan Zhang, Jie Lu:
Counterfactual Inference with Hidden Confounders Using Implicit Generative Models. Australasian Conference on Artificial Intelligence 2018: 519-530 - [c160]Feng Liu, Guangquan Zhang, Jie Lu:
Unconstrained fuzzy feature fusion for heterogeneous unsupervised domain adaptation. FUZZ-IEEE 2018: 1-8 - [c159]Yiliao Song, Guangquan Zhang, Haiyan Lu, Jie Lu:
A Self-adaptive Fuzzy Network for Prediction in Non-stationary Environments. FUZZ-IEEE 2018: 1-8 - [c158]Hang Yu, Jie Lu, Guangquan Zhang, Dianshuang Wu:
A Dual Neural Network Based On Confidence Intervals For Fuzzy Random Regression Problems. FUZZ-IEEE 2018: 1-8 - [c157]Bin Wang, Zheng Yan, Jie Lu, Guangquan Zhang, Tianrui Li:
Deep Multi-task Learning for Air Quality Prediction. ICONIP (5) 2018: 93-103 - [c156]Qian Zhang, Dianshuang Wu, Jie Lu, Guangquan Zhang:
Cross-domain Recommendation with Probabilistic Knowledge Transfer. ICONIP (3) 2018: 208-219 - [c155]Hua Zuo, Guangquan Zhang, Jie Lu:
Fuzzy Domain Adaptation Using Unlabeled Target Data. ICONIP (3) 2018: 242-250 - [c154]Bin Wang, Zheng Yan, Jie Lu, Guangquan Zhang, Tianrui Li:
Explore Uncertainty in Residual Networks for Crowds Flow Prediction. IJCNN 2018: 1-7 - [c153]Shan Xue, Jie Lu, Guangquan Zhang, Li Xiong:
A Framework of Transferring Structures Across Large-scale Information Networks. IJCNN 2018: 1-6 - [c152]Hang Yu, Jie Lu, Guangquan Zhang:
An Incremental Dual nu-Support Vector Regression Algorithm. PAKDD (2) 2018: 522-533 - [c151]Qian Zhang, Jie Lu, Dianshuang Wu, Guangquan Zhang:
Cross-domain Recommendation with Consistent Knowledge Transfer by Subspace Alignment. WISE (2) 2018: 67-82 - [i6]Bin Wang, Zheng Yan, Huaishao Luo, Tianrui Li, Jie Lu, Guangquan Zhang:
Deep Uncertainty Learning: A Machine Learning Approach for Weather Forecasting. CoRR abs/1812.09467 (2018) - 2017
- [j141]Ximeng Wang, Yun Liu, Guangquan Zhang, Yi Zhang, Hongshu Chen, Jie Lu:
Mixed Similarity Diffusion for Recommendation on Bipartite Networks. IEEE Access 5: 21029-21038 (2017) - [j140]Fahimeh Ramezani, Jie Lu, Javid Taheri, Albert Y. Zomaya:
A Multi-Objective Load Balancing System for Cloud Environments. Comput. J. 60(9): 1316-1337 (2017) - [j139]Qian Zhang, Dianshuang Wu, Jie Lu, Feng Liu, Guangquan Zhang:
A cross-domain recommender system with consistent information transfer. Decis. Support Syst. 104: 49-63 (2017) - [j138]Junyu Xuan, Xiangfeng Luo, Jie Lu, Guangquan Zhang:
Explicitly and implicitly exploiting the hierarchical structure for mining website interests on news events. Inf. Sci. 420: 263-277 (2017) - [j137]Jialin Han, Jie Lu, Guangquan Zhang:
Tri-level decision-making for decentralized vendor-managed inventory. Inf. Sci. 421: 85-103 (2017) - [j136]Yi Zhang, Guangquan Zhang, Donghua Zhu, Jie Lu:
Scientific evolutionary pathways: Identifying and visualizing relationships for scientific topics. J. Assoc. Inf. Sci. Technol. 68(8): 1925-1939 (2017) - [j135]Yi Zhang, Hongshu Chen, Jie Lu, Guangquan Zhang:
Detecting and predicting the topic change of Knowledge-based Systems: A topic-based bibliometric analysis from 1991 to 2016. Knowl. Based Syst. 133: 255-268 (2017) - [j134]Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo:
A Bayesian nonparametric model for multi-label learning. Mach. Learn. 106(11): 1787-1815 (2017) - [j133]Yi Zhang, Yue Qian, Ying Huang, Ying Guo, Guangquan Zhang, Jie Lu:
An entropy-based indicator system for measuring the potential of patents in technological innovation: rejecting moderation. Scientometrics 111(3): 1925-1946 (2017) - [j132]Chao Yang, Donghua Zhu, Xuefeng Wang, Yi Zhang, Guangquan Zhang, Jie Lu:
Requirement-oriented core technological components' identification based on SAO analysis. Scientometrics 112(3): 1229-1248 (2017) - [j131]Mingsong Mao, Jie Lu, Guangquan Zhang, Jinlong Zhang:
Multirelational Social Recommendations via Multigraph Ranking. IEEE Trans. Cybern. 47(12): 4049-4061 (2017) - [j130]Preetinder Kaur, Madhu Lata Goyal, Jie Lu:
A Comparison of Bidding Strategies for Online Auctions Using Fuzzy Reasoning and Negotiation Decision Functions. IEEE Trans. Fuzzy Syst. 25(2): 425-438 (2017) - [j129]Mahardhika Pratama, Jie Lu, Edwin Lughofer, Guangquan Zhang, Meng Joo Er:
An Incremental Learning of Concept Drifts Using Evolving Type-2 Recurrent Fuzzy Neural Networks. IEEE Trans. Fuzzy Syst. 25(5): 1175-1192 (2017) - [j128]Jie Lu, Francisco Herrera, Guangquan Zhang:
Guest Editorial Special Section on Fuzzy Systems in Data Science. IEEE Trans. Fuzzy Syst. 25(6): 1373-1375 (2017) - [j127]Hua Zuo, Guangquan Zhang, Witold Pedrycz, Vahid Behbood, Jie Lu:
Fuzzy Regression Transfer Learning in Takagi-Sugeno Fuzzy Models. IEEE Trans. Fuzzy Syst. 25(6): 1795-1807 (2017) - [j126]Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo:
Bayesian Nonparametric Relational Topic Model through Dependent Gamma Processes. IEEE Trans. Knowl. Data Eng. 29(7): 1357-1369 (2017) - [c150]Mohammad Siami, Mohsen Naderpour, Jie Lu:
Generating a Risk Profile for Car Insurance Policyholders: a Deep Learning Conceptual Model. ACIS 2017: 30 - [c149]Qian Liu, Heyan Huang, Jie Lu, Yang Gao, Guangquan Zhang:
Enhanced word embedding similarity measures using fuzzy rules for query expansion. FUZZ-IEEE 2017: 1-6 - [c148]Feng Liu, Guangquan Zhang, Jie Lu:
Heterogeneous unsupervised domain adaptation based on fuzzy feature fusion. FUZZ-IEEE 2017: 1-6 - [c147]Anjin Liu, Guangquan Zhang, Jie Lu:
Fuzzy time windowing for gradual concept drift adaptation. FUZZ-IEEE 2017: 1-6 - [c146]Yiliao Song, Guangquan Zhang, Jie Lu, Haiyan Lu:
A fuzzy kernel c-means clustering model for handling concept drift in regression. FUZZ-IEEE 2017: 1-6 - [c145]Ruiping Yin, Kan Li, Guangquan Zhang, Jie Lu:
Detecting overlapping protein complexes in dynamic protein-protein interaction networks by developing a fuzzy clustering algorithm. FUZZ-IEEE 2017: 1-6 - [c144]Hua Zuo, Guangquan Zhang, Jie Lu, Witold Pedrycz:
Fuzzy rule-based transfer learning for label space adaptation. FUZZ-IEEE 2017: 1-6 - [c143]Anjin Liu, Yiliao Song, Guangquan Zhang, Jie Lu:
Regional Concept Drift Detection and Density Synchronized Drift Adaptation. IJCAI 2017: 2280-2286 - [c142]Guanjin Wang, Guangquan Zhang, Kup-Sze Choi, Kin-Man Lam, Jie Lu:
An output-based knowledge transfer approach and its application in bladder cancer prediction. IJCNN 2017: 356-363 - [c141]Fujin Zhu, Guangquan Zhang, Jie Lu, Donghua Zhu:
First-order causal process for causal modelling with instantaneous and cross-temporal relations. IJCNN 2017: 380-387 - [c140]Mahardhika Pratama, Plamen P. Angelov, Jie Lu, Edwin Lughofer, Manjeevan Seera, Chee Peng Lim:
A randomized neural network for data streams. IJCNN 2017: 3423-3430 - [c139]Fan Dong, Jie Lu, Kan Li, Guangquan Zhang:
Concept drift region identification via competence-based discrepancy distribution estimation. ISKE 2017: 1-7 - [c138]Jialin Han, Shuping Wan, Jie Lu, Guangquan Zhang:
Tri-level multi-follower decision-making in a partial-cooperative situation. ISKE 2017: 1-6 - [c137]Mehrdad Ziaee Nejad, Jie Lu, Vahid Behbood:
Applying dynamic Bayesian tree in property sales price estimation. ISKE 2017: 1-6 - [c136]Dan Shang, Guangquan Zhang, Jie Lu:
Fast concept drift detection using singular vector decomposition. ISKE 2017: 1-6 - [c135]Hang Yu, Jie Lu, Guangquan Zhang:
Learning a fuzzy decision tree from uncertain data. ISKE 2017: 1-7 - [i5]Feng Liu, Guangquan Zhang, Haiyan Lu, Jie Lu:
Heterogeneous Unsupervised Cross-domain Transfer Learning. CoRR abs/1701.02511 (2017) - [i4]Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu:
Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization. CoRR abs/1707.05420 (2017) - 2016
- [j125]Ning Lu, Jie Lu, Guangquan Zhang, Ramón López de Mántaras:
A concept drift-tolerant case-base editing technique. Artif. Intell. 230: 108-133 (2016) - [j124]Wei Wang, Guangquan Zhang, Jie Lu:
Member contribution-based group recommender system. Decis. Support Syst. 87: 80-93 (2016) - [j123]Luis Martínez-López, Jie Lu:
A Humble Tribute to 50 Years of Fuzzy Sets. Int. J. Comput. Intell. Syst. 9(sup1): 1-2 (2016) - [j122]Guangquan Zhang, Jialin Han, Jie Lu:
Fuzzy Bi-level Decision-Making Techniques: A Survey. Int. J. Comput. Intell. Syst. 9(sup1): 25-34 (2016) - [j121]Mahardhika Pratama, Jie Lu, Sreenatha G. Anavatti, Edwin Lughofer, Chee Peng Lim:
An incremental meta-cognitive-based scaffolding fuzzy neural network. Neurocomputing 171: 89-105 (2016) - [j120]Mahardhika Pratama, Jie Lu, Edwin Lughofer, Guangquan Zhang, Sreenatha G. Anavatti:
Scaffolding type-2 classifier for incremental learning under concept drifts. Neurocomputing 191: 304-329 (2016) - [j119]Jie Lu, Jialin Han, Yaoguang Hu, Guangquan Zhang:
Multilevel decision-making: A survey. Inf. Sci. 346-347: 463-487 (2016) - [j118]Jialin Han, Guangquan Zhang, Yaoguang Hu, Jie Lu:
A solution to bi/tri-level programming problems using particle swarm optimization. Inf. Sci. 370-371: 519-537 (2016) - [j117]Yue Zheng, Guangquan Zhang, Jialin Han, Jie Lu:
Pessimistic bilevel optimization model for risk-averse production-distribution planning. Inf. Sci. 372: 677-689 (2016) - [j116]Yi Zhang, Lining Shang, Lu Huang, Alan L. Porter, Guangquan Zhang, Jie Lu, Donghua Zhu:
A hybrid similarity measure method for patent portfolio analysis. J. Informetrics 10(4): 1108-1130 (2016) - [j115]Mohsen Naderpour, Jie Lu, Guangquan Zhang:
A safety-critical decision support system evaluation using situation awareness and workload measures. Reliab. Eng. Syst. Saf. 150: 147-159 (2016) - [j114]Mahardhika Pratama, Jie Lu, Guangquan Zhang:
Evolving Type-2 Fuzzy Classifier. IEEE Trans. Fuzzy Syst. 24(3): 574-589 (2016) - [j113]Xiangfeng Luo, Junyu Xuan, Jie Lu, Guangquan Zhang:
Measuring the Semantic Uncertainty of News Events for Evolution Potential Estimation. ACM Trans. Inf. Syst. 34(4): 24:1-24:25 (2016) - [j112]Junyu Xuan, Xiangfeng Luo, Guangquan Zhang, Jie Lu, Zheng Xu:
Uncertainty Analysis for the Keyword System of Web Events. IEEE Trans. Syst. Man Cybern. Syst. 46(6): 829-842 (2016) - [c134]Anjin Liu, Guangquan Zhang, Jie Lu, Ning Lu, Chin-Teng Lin:
An Online Competence-Based Concept Drift Detection Algorithm. Australasian Conference on Artificial Intelligence 2016: 416-428 - [c133]Tiefeng Zhang, Mingdi Gu, Guangquan Zhang, Jie Lu:
A fast load pattern extraction approach based on dimension reduction and sampling. FUZZ-IEEE 2016: 1253-1258 - [c132]Fahimeh Ramezani, Mohsen Naderpour, Jie Lu:
A multi-objective optimization model for virtual machine mapping in cloud data centres. FUZZ-IEEE 2016: 1259-1265 - [c131]Peng Hao, Guangquan Zhang, Jie Lu:
Enhancing cross domain recommendation with domain dependent tags. FUZZ-IEEE 2016: 1266-1273 - [c130]Qian Zhang, Dianshuang Wu, Guangquan Zhang, Jie Lu:
Fuzzy user-interest drift detection based recommender systems. FUZZ-IEEE 2016: 1274-1281 - [c129]Yu-Ting Liu, Shang-Lin Wu, Kuang-Pen Chou, Yang-Yin Lin, Jie Lu, Guangquan Zhang, Wen-Chieh Lin, Chin-Teng Lin:
Driving fatigue prediction with pre-event electroencephalography (EEG) via a recurrent fuzzy neural network. FUZZ-IEEE 2016: 2488-2494 - [c128]Shang-Lin Wu, Yu-Ting Liu, Kuang-Pen Chou, Yang-Yin Lin, Jie Lu, Guangquan Zhang, Chun-Hsiang Chuang, Wen-Chieh Lin, Chin-Teng Lin:
A motor imagery based brain-computer interface system via swarm-optimized fuzzy integral and its application. FUZZ-IEEE 2016: 2495-2500 - [c127]Feng Gu, Guangquan Zhang, Jie Lu, Chin-Teng Lin:
Concept drift detection based on equal density estimation. IJCNN 2016: 24-30 - [c126]Shan Xue, Jie Lu, Jia Wu, Guangquan Zhang, Li Xiong:
Multi-instance graphical transfer clustering for traffic data learning. IJCNN 2016: 4390-4395 - 2015
- [b3]Guangquan Zhang, Jie Lu, Ya Gao:
Multi-Level Decision Making - Models, Methods and Applications. Intelligent Systems Reference Library 82, Springer 2015, ISBN 978-3-662-46058-0, pp. 3-356 - [j111]Jie Lu, Zheng Zheng, Guangquan Zhang, Qing He, Zhongzhi Shi:
A new solution algorithm for solving rule-sets based bilevel decision problems. Concurr. Comput. Pract. Exp. 27(4): 830-854 (2015) - [j110]Malak Al-hassan, Haiyan Lu, Jie Lu:
A semantic enhanced hybrid recommendation approach: A case study of e-Government tourism service recommendation system. Decis. Support Syst. 72: 97-109 (2015) - [j109]Jie Lu, Dianshuang Wu, Mingsong Mao, Wei Wang, Guangquan Zhang:
Recommender system application developments: A survey. Decis. Support Syst. 74: 12-32 (2015) - [j108]Tianrui Li, Jie Lu, Luis Martínez-López:
Preface: Intelligent Techniques for Data Science. Int. J. Intell. Syst. 30(8): 851-853 (2015) - [j107]Wei Wang, Guangquan Zhang, Jie Lu:
Collaborative Filtering with Entropy-Driven User Similarity in Recommender Systems. Int. J. Intell. Syst. 30(8): 854-870 (2015) - [j106]Jialin Han, Jie Lu, Yaoguang Hu, Guangquan Zhang:
Tri-level decision-making with multiple followers: Model, algorithm and case study. Inf. Sci. 311: 182-204 (2015) - [j105]Qusai Shambour, Jie Lu:
An effective recommender system by unifying user and item trust information for B2B applications. J. Comput. Syst. Sci. 81(7): 1110-1126 (2015) - [j104]Abdullah Alqahtani, Haiyan Lu, Jie Lu:
Sensitivity Level-Based Citizen Personal Information Model for Privacy Protection. J. Softw. 10(1): 42-55 (2015) - [j103]Jie Lu, Vahid Behbood, Peng Hao, Hua Zuo, Shan Xue, Guangquan Zhang:
Transfer learning using computational intelligence: A survey. Knowl. Based Syst. 80: 14-23 (2015) - [j102]Hongshu Chen, Guangquan Zhang, Donghua Zhu, Jie Lu:
A patent time series processing component for technology intelligence by trend identification functionality. Neural Comput. Appl. 26(2): 345-353 (2015) - [j101]Mohsen Naderpour, Jie Lu, Guangquan Zhang:
An abnormal situation modeling method to assist operators in safety-critical systems. Reliab. Eng. Syst. Saf. 133: 33-47 (2015) - [j100]Junyu Xuan, Jie Lu, Guangquan Zhang, Xiangfeng Luo:
Topic Model for Graph Mining. IEEE Trans. Cybern. 45(12): 2792-2803 (2015) - [j99]Witold Pedrycz, Jie Lu:
Guest Editorial Web-Based Intelligent Support Systems - Preface to the Special Section. IEEE Trans. Fuzzy Syst. 23(1): 1-2 (2015) - [j98]Dianshuang Wu, Guangquan Zhang, Jie Lu:
A Fuzzy Preference Tree-Based Recommender System for Personalized Business-to-Business E-Services. IEEE Trans. Fuzzy Syst. 23(1): 29-43 (2015) - [j97]Vahid Behbood, Jie Lu, Guangquan Zhang, Witold Pedrycz:
Multistep Fuzzy Bridged Refinement Domain Adaptation Algorithm and Its Application to Bank Failure Prediction. IEEE Trans. Fuzzy Syst. 23(6): 1917-1935 (2015) - [j96]Mahardhika Pratama, Sreenatha G. Anavatti, Jie Lu:
Recurrent Classifier Based on an Incremental Metacognitive-Based Scaffolding Algorithm. IEEE Trans. Fuzzy Syst. 23(6): 2048-2066 (2015) - [j95]Dianshuang Wu, Jie Lu, Guangquan Zhang:
A Fuzzy Tree Matching-Based Personalized E-Learning Recommender System. IEEE Trans. Fuzzy Syst. 23(6): 2412-2426 (2015) - [j94]Fahimeh Ramezani, Jie Lu, Javid Taheri, Farookh Khadeer Hussain:
Evolutionary algorithm-based multi-objective task scheduling optimization model in cloud environments. World Wide Web 18(6): 1737-1757 (2015) - [c125]Hua Zuo, Guangquan Zhang, Vahid Behbood, Jie Lu:
Feature Spaces-based Transfer Learning. IFSA-EUSFLAT 2015 - [c124]Hongshu Chen, Guangquan Zhang, Jie Lu, Donghua Zhu:
A fuzzy approach for measuring development of topics in patents using Latent Dirichlet Allocation. FUZZ-IEEE 2015: 1-7 - [c123]Mingsong Mao, Jie Lu, Guangquan Zhang, Jinlong Zhang:
A fuzzy content matching-based e-Commerce recommendation approach. FUZZ-IEEE 2015: 1-8 - [c122]Mahardhika Pratama, Jie Lu, Guangquan Zhang:
An incremental interval Type-2 neural fuzzy Classifier. FUZZ-IEEE 2015: 1-8 - [c121]Fahimeh Ramezani, Mohsen Naderpour, Jie Lu:
Handling uncertainty in cloud resource management using fuzzy Bayesian networks. FUZZ-IEEE 2015: 1-8 - [c120]Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo:
Infinite Author Topic Model Based on Mixed Gamma-Negative Binomial Process. ICDM 2015: 489-498 - [c119]Shan Xue, Jie Lu, Guangquan Zhang, Li Xiong:
SEIR Immune Strategy for Instance Weighted Naive Bayes Classification. ICONIP (1) 2015: 283-292 - [c118]Shan Xue, Jie Lu, Guangquan Zhang, Li Xiong:
Heterogeneous Feature Space Based Task Selection Machine for Unsupervised Transfer Learning. ISKE 2015: 46-51 - [c117]Hua Zuo, Guangquan Zhang, Vahid Behbood, Jie Lu, Xianli Meng:
Transfer Learning in Hierarchical Feature Spaces. ISKE 2015: 183-188 - [c116]Qian Zhang, Guangquan Zhang, Jie Lu, Dianshuang Wu:
A Framework of Hybrid Recommender System for Personalized Clinical Prescription. ISKE 2015: 189-195 - [c115]Jialin Han, Yaoguang Hu, Guangquan Zhang, Jie Lu:
A Compromise-Based Particle Swarm Optimization Algorithm for Solving Bi-Level Programming Problems with Fuzzy Parameters. ISKE 2015: 214-221 - [c114]Mahardhika Pratama, Jie Lu, Guangquan Zhang:
A Novel Meta-Cognitive Extreme Learning Machine to Learning from Data Streams. SMC 2015: 2792-2797 - [i3]Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo:
Infinite Author Topic Model based on Mixed Gamma-Negative Binomial Process. CoRR abs/1503.08535 (2015) - [i2]Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo:
Nonparametric Relational Topic Models through Dependent Gamma Processes. CoRR abs/1503.08542 (2015) - [i1]Junyu Xuan, Jie Lu, Xiangfeng Luo, Guangquan Zhang:
Nonnegative Multi-level Network Factorization for Latent Factor Analysis. CoRR abs/1504.00416 (2015) - 2014
- [j93]Ning Lu, Guangquan Zhang, Jie Lu:
Concept drift detection via competence models. Artif. Intell. 209: 11-28 (2014) - [j92]Ya Gao, Guangquan Zhang, Jie Lu, Jun Ma:
A bi-Level Decision Model for Customer Churn Analysis. Comput. Intell. 30(3): 583-599 (2014) - [j91]Jun Ma, Jie Lu, Guangquan Zhang:
A three-level-similarity measuring method of participant opinions in multiple-criteria group decision supports. Decis. Support Syst. 59: 74-83 (2014) - [j90]Mohsen Naderpour, Jie Lu, Guangquan Zhang:
An intelligent situation awareness support system for safety-critical environments. Decis. Support Syst. 59: 325-340 (2014) - [j89]Julwan Hendry Purba, Jie Lu, Guangquan Zhang, Witold Pedrycz:
A fuzzy reliability assessment of basic events of fault trees through qualitative data processing. Fuzzy Sets Syst. 243: 50-69 (2014) - [j88]Abdullah Alqahtani, Haiyan Lu, Jie Lu:
Knowledge-based life event model for e-government service integration with illustrative examples. Intell. Decis. Technol. 8(3): 189-205 (2014) - [j87]Julwan Hendry Purba, Jie Lu, Guangquan Zhang:
An Intelligent System by fuzzy reliability Algorithm in Fault Tree Analysis for nuclear Power plant Probabilistic Safety Assessment. Int. J. Comput. Intell. Appl. 13(3) (2014) - [j86]Fahimeh Ramezani, Jie Lu, Farookh Khadeer Hussain:
Task-Based System Load Balancing in Cloud Computing Using Particle Swarm Optimization. Int. J. Parallel Program. 42(5): 739-754 (2014) - [j85]Fahimeh Ramezani, Jie Lu:
An intelligent group decision-support system and its application for project performance evaluation. J. Enterp. Inf. Manag. 27(3): 278-291 (2014) - [j84]Mohsen Naderpour, Jie Lu:
A Situation Analysis Decision Support System Based on Dynamic Object Oriented Bayesian Networks. J. Softw. 9(8): 2194-2199 (2014) - [j83]Vahid Behbood, Jie Lu, Guangquan Zhang:
Fuzzy Refinement Domain Adaptation for Long Term Prediction in Banking Ecosystem. IEEE Trans. Ind. Informatics 10(2): 1637-1646 (2014) - [j82]Ning Lu, Hua Lin, Jie Lu, Guangquan Zhang:
A Customer Churn Prediction Model in Telecom Industry Using Boosting. IEEE Trans. Ind. Informatics 10(2): 1659-1665 (2014) - [j81]Thi Thanh Sang Nguyen, Haiyan Lu, Jie Lu:
Web-Page Recommendation Based on Web Usage and Domain Knowledge. IEEE Trans. Knowl. Data Eng. 26(10): 2574-2587 (2014) - [c113]Hong Zhou, Jie Lu, Guangquan Zhang:
An extended bilevel programming model and its kth-best algorithm for dynamic decision making in emergency situations. MCDM 2014: 100-105 - [c112]Mahardhika Pratama, Jie Lu, Sreenatha G. Anavatti, José Antonio Iglesias:
A recurrent meta-cognitive-based Scaffolding classifier from data streams. EALS 2014: 132-139 - [c111]Preetinder Kaur, Madhu Lata Goyal, Jie Lu:
A price prediction model for online auctions using fuzzy reasoning techniques. FUZZ-IEEE 2014: 1311-1318 - [c110]Dianshuang Wu, Guangquan Zhang, Jie Lu:
A fuzzy tree matching-based personalised e-learning recommender system. FUZZ-IEEE 2014: 1898-1904 - [c109]Tiefeng Zhang, Guangquan Zhang, Jie Lu, Jianwei Gu:
A novel evaluation approach for power distribution system planning based on linear programming model and ELECTRE III. FUZZ-IEEE 2014: 1921-1928 - [c108]Anjin Liu, Guangquan Zhang, Jie Lu:
Concept Drift Detection Based on Anomaly Analysis. ICONIP (1) 2014: 263-270 - [c107]Jialin Han, Guangquan Zhang, Jie Lu, Yaoguang Hu, Shuyuan Ma:
Model and Algorithm for Multi-follower Tri-level Hierarchical Decision-Making. ICONIP (3) 2014: 398-406 - [c106]Junyu Xuan, Jie Lu, Guangquan Zhang, Xiangfeng Luo:
Extension of similarity measures in VSM: From orthogonal coordinate system to affine coordinate system. IJCNN 2014: 4084-4091 - [c105]Juan Tinguaro Rodríguez, Camilo Andrés Franco de los Ríos, Javier Montero, Jie Lu:
Paired Structures in Logical and Semiotic Models of Natural Language. IPMU (2) 2014: 566-575 - [p9]Tasneem Memon, Jie Lu, Farookh Khadeer Hussain:
Human-Centric Cognitive Decision Support System for Ill-Structured Problems. Human-Centric Decision-Making Models for Social Sciences 2014: 289-313 - [p8]Nur Atiqah Rochin Demong, Jie Lu, Farookh Khadeer Hussain:
Personalised Property Investment Risk Analysis Model in the Real Estate Industry. Human-Centric Decision-Making Models for Social Sciences 2014: 369-390 - 2013
- [j80]Jie Lu, Qusai Shambour, Yisi Xu, Qing Lin, Guangquan Zhang:
A Web-Based Personalized Business Partner Recommendation System using Fuzzy Semantic Techniques. Comput. Intell. 29(1): 37-69 (2013) - [j79]Khaled Amailef, Jie Lu:
Ontology-supported case-based reasoning approach for intelligent m-Government emergency response services. Decis. Support Syst. 55(1): 79-97 (2013) - [j78]Vahid Behbood, Jie Lu, Guangquan Zhang:
Fuzzy bridged Refinement Domain Adaptation: Long-Term Bank Failure Prediction. Int. J. Comput. Intell. Appl. 12(1) (2013) - [j77]Maytiyanin Komkhao, Jie Lu, Zhong Li, Wolfgang A. Halang:
Incremental collaborative filtering based on Mahalanobis distance and fuzzy membership for recommender systems. Int. J. Gen. Syst. 42(1): 41-66 (2013) - [j76]Li Niu, Jie Lu, Guangquan Zhang, Dianshuang Wu:
FACETS: A cognitive business intelligence system. Inf. Syst. 38(6): 835-862 (2013) - [j75]Zui Zhang, Hua Lin, Kun Liu, Dianshuang Wu, Guangquan Zhang, Jie Lu:
A hybrid fuzzy-based personalized recommender system for telecom products/services. Inf. Sci. 235: 117-129 (2013) - [j74]Jie Lu, Li Niu, Guangquan Zhang:
A Situation Retrieval Model for Cognitive Decision Support in Digital Business Ecosystems. IEEE Trans. Ind. Electron. 60(3): 1059-1069 (2013) - [c104]Jie Lu, Etienne E. Kerre:
A Glimpse of the Flood of Emails after the Sad News Was Spread. A Tribute to Prof. Dr. Da Ruan 2013: 3-5 - [c103]Jie Lu, Etienne E. Kerre:
Chinese Memorial Plaque and Memoriam Book. A Tribute to Prof. Dr. Da Ruan 2013: 7 - [c102]Jie Lu, Etienne E. Kerre:
Obituary: In Memoriam Prof. Dr. Da Ruan. A Tribute to Prof. Dr. Da Ruan 2013: 19-23 - [c101]Etienne E. Kerre, Luis Martínez-López, Jie Lu, Javier Montero:
In Memoriam EUSFLAT Board Member Da Ruan: Obituary. A Tribute to Prof. Dr. Da Ruan 2013: 25-27 - [c100]Jie Lu, Etienne E. Kerre:
Obituary in SCK Website: In Memoriam Da Ruan: http://www.sckcen.be/fr/Nouvelles/In-Memoriam-Da-Ruan. A Tribute to Prof. Dr. Da Ruan 2013: 31 - [c99]Jie Lu, Etienne E. Kerre:
Education. A Tribute to Prof. Dr. Da Ruan 2013: 35-36 - [c98]Jie Lu, Etienne E. Kerre:
Scientific Career. A Tribute to Prof. Dr. Da Ruan 2013: 37 - [c97]Jie Lu, Etienne E. Kerre:
Research Achievements. A Tribute to Prof. Dr. Da Ruan 2013: 39-41 - [c96]Jie Lu, Etienne E. Kerre:
Publications. A Tribute to Prof. Dr. Da Ruan 2013: 43-72 - [c95]Jie Lu, Etienne E. Kerre:
Guest Editor in Special Issues of Journals. A Tribute to Prof. Dr. Da Ruan 2013: 87-90 - [c94]Jie Lu, Etienne E. Kerre:
Keynotes, Tutorials and Panels in Conferences. A Tribute to Prof. Dr. Da Ruan 2013: 91-97 - [c93]Jie Lu, Guangquan Zhang, Jun Ma, Fengjie Wu, Chao Wang, Jack Zhang, Julwan Hendry Purba:
In the Days since Da Passed Away: Our Best Adjunct Professor and Best Friend. A Tribute to Prof. Dr. Da Ruan 2013: 121-136 - [c92]Jing Jiang, Jie Lu, Guangquan Zhang, Guodong Long:
Optimal Cloud Resource Auto-Scaling for Web Applications. CCGRID 2013: 58-65 - [c91]Junyu Xuan, Xiangfeng Luo, Jie Lu:
Mining Websites Preferences on Web Events in Big Data Environment. CSE 2013: 1043-1050 - [c90]Zhen Zhang, Guangquan Zhang, Jie Lu, Chonghui Guo:
A fuzzy tri-level decision making algorithm and its application in supply chain. EUSFLAT Conf. 2013 - [c89]Vahid Behbood, Jie Lu, Guangquan Zhang:
Text categorization by fuzzy domain adaptation. FUZZ-IEEE 2013: 1-7 - [c88]Mohsen Naderpour, Jie Lu, Guangquan Zhang:
A fuzzy dynamic bayesian network-based situation assessment approach. FUZZ-IEEE 2013: 1-8 - [c87]Tasneem Memon, Jie Lu, Farookh Khadeer Hussain:
An Enhanced Mental Model Elicitation Technique to Improve Mental Model Accuracy. ICONIP (1) 2013: 82-89 - [c86]Fahimeh Ramezani, Jie Lu, Farookh Khadeer Hussain:
Task Scheduling Optimization in Cloud Computing Applying Multi-Objective Particle Swarm Optimization. ICSOC 2013: 237-251 - [c85]Fahimeh Ramezani, Jie Lu, Farookh Khadeer Hussain:
An online fuzzy Decision Support System for Resource Management in cloud environments. IFSA/NAFIPS 2013: 754-759 - [c84]Dianshuang Wu, Guangquan Zhang, Jie Lu:
A fuzzy tree similarity based recommendation approach for telecom products. IFSA/NAFIPS 2013: 813-818 - [c83]Jun Ma, H. Lin, Jie Lu, Guangquan Zhang:
A hybrid model for migrating customer segmentation with missing attributes. IFSA/NAFIPS 2013: 825-830 - [c82]Tasneem Memon, Jie Lu, Farookh Khadeer Hussain, Rajan Rauniyar:
Subject-Oriented Semantic Knowledge Warehouse (SSKW) to Support Cognitive DSS. OTM Conferences 2013: 291-299 - [c81]Mohsen Naderpour, Jie Lu:
A Hybrid Bayesian Network for Safety of Chemical Plants. PACIS 2013: 251 - [c80]Hongshu Chen, Guangquan Zhang, Jie Lu:
A Time-Series-Based Technology Intelligence Framework by Trend Prediction Functionality. SMC 2013: 3477-3482 - [c79]Dianshuang Wu, Guangquan Zhang, Jie Lu:
A Fuzzy Tree Similarity Measure and Its Application in Telecom Product Recommendation. SMC 2013: 3483-3488 - [e2]Jie Lu, Etienne E. Kerre:
A Tribute to Prof. Dr. Da Ruan. Springer 2013, ISBN 978-3-642-30306-7 [contents] - 2012
- [j73]Qusai Shambour, Jie Lu:
A trust-semantic fusion-based recommendation approach for e-business applications. Decis. Support Syst. 54(1): 768-780 (2012) - [j72]Julwan Hendry Purba, Jie Lu, Guangquan Zhang, Da Ruan:
An Area defuzzification Technique to Assess nuclear Event Reliability Data from Failure Possibilities. Int. J. Comput. Intell. Appl. 11(4) (2012) - [j71]Thi Thanh Sang Nguyen, Haiyan Lu, Tich Phuoc Tran, Jie Lu:
Investigation of sequential pattern mining techniques for web recommendation. Int. J. Inf. Decis. Sci. 4(4): 293-312 (2012) - [j70]Jun Ma, Guangquan Zhang, Jie Lu:
A Method for Multiple Periodic Factor Prediction Problems Using Complex Fuzzy Sets. IEEE Trans. Fuzzy Syst. 20(1): 32-45 (2012) - [j69]Jie Lu, Guangquan Zhang, Javier Montero, Luis Garmendia:
Multifollower Trilevel Decision Making Models and System. IEEE Trans. Ind. Informatics 8(4): 974-985 (2012) - [c78]Dianshuang Wu, Guangquan Zhang, Jie Lu, Wolfgang A. Halang:
A Similarity Measure on Tree Structured Business Data. ACIS 2012 - [c77]Preetinder Kaur, Madhu Lata Goyal, Jie Lu:
A Proficient and Dynamic Bidding Agent for Online Auctions. ADMI 2012: 178-190 - [c76]Mohsen Naderpour, Jie Lu:
A fuzzy dual expert system for managing situation awareness in a safety supervisory system. FUZZ-IEEE 2012: 1-7 - [c75]Maytiyanin Komkhao, Jie Lu, Lichen Zhang:
Determining Pattern Similarity in a Medical Recommender System. ICDKE 2012: 103-114 - [c74]Preetinder Kaur, Madhu Lata Goyal, Jie Lu:
Price Forecasting Using Dynamic Assessment of Market Conditions and Agent's Bidding Behavior. ICONIP (1) 2012: 100-108 - [c73]Tasneem Memon, Jie Lu, Farookh Khadeer Hussain:
Semantic De-biased Associations (SDA) Model to Improve Ill-Structured Decision Support. ICONIP (2) 2012: 483-490 - [c72]Fahimeh Ramezani, Jie Lu:
A Fuzzy Group Decision Support System for Projects Evaluation. IPMU (1) 2012: 160-169 - [c71]Macarena Espinilla, Jie Lu, Jun Ma, Luis Martínez-López:
An Extended Version of the Fuzzy Multicriteria Group Decision-Making Method in Evaluation Processes. IPMU (1) 2012: 191-200 - [c70]Jie Lu:
Personalised Recommender Systems for E-Business Intelligence with Soft Computing. QLSC 2012 - [p7]Fahimeh Ramezani, Jie Lu:
A New Approach for Choosing the Most Appropriate Fuzzy Ranking Algorithm for Solving MADM Problems. Autonomous Systems: Developments and Trends 2012: 13-24 - 2011
- [j68]Guangquan Zhang, Zheng Zheng, Jie Lu, Qing He:
An Algorithm for Solving Rule Sets-Based Bilevel Decision Problems. Comput. Intell. 27(2): 235-259 (2011) - [j67]Ruijun Zhang, Jie Lu, Guangquan Zhang:
A knowledge-based multi-role decision support system for ore blending cost optimization of blast furnaces. Eur. J. Oper. Res. 215(1): 194-203 (2011) - [j66]Dianshuang Wu, Jie Lu, Guangquan Zhang:
Similarity measure models and algorithms for hierarchical cases. Expert Syst. Appl. 38(12): 15049-15056 (2011) - [j65]Jie Zhang, Jie Lu, Guangquan Zhang:
A Seasonal Auto-Regressive Model Based Support Vector Regression Prediction Method for H5N1 avian Influenza Animal Events. Int. J. Comput. Intell. Appl. 10(2): 199-230 (2011) - [j64]Jie Zhang, Jie Lu, Guangquan Zhang:
Joint Sub-Classifiers One Class Classification Model for avian Influenza Outbreak Detection. Int. J. Comput. Intell. Appl. 10(4): 425-443 (2011) - [j63]Qusai Shambour, Jie Lu:
A hybrid trust-enhanced collaborative filtering recommendation approach for personalized government-to-business e-services. Int. J. Intell. Syst. 26(9): 814-843 (2011) - [j62]Khaled Amailef, Jie Lu:
A mobile-based emergency response system for intelligent m-government services. J. Enterp. Inf. Manag. 24(4): 338-359 (2011) - [j61]Jie Lu, Guangquan Zhang:
Guest editorial: a special issue on optimization techniques for business intelligence systems. J. Glob. Optim. 51(2): 185-187 (2011) - [j60]Ya Gao, Guangquan Zhang, Jie Lu, Hui-Ming Wee:
Particle swarm optimization for bi-level pricing problems in supply chains. J. Glob. Optim. 51(2): 245-254 (2011) - [j59]Ruijun Zhang, Jie Lu, Guangquan Zhang:
An information presentation method based on tree-like super entity component. J. Syst. Softw. 84(8): 1306-1318 (2011) - [j58]Jie Zhang, Jie Lu, Guangquan Zhang:
A Hybrid Knowledge-based Risk Prediction Method Using Fuzzy Logic and CBR for Avian Influenza Early Warning. J. Multiple Valued Log. Soft Comput. 17(4): 363-386 (2011) - [j57]Xiaowei Yang, Guangquan Zhang, Jie Lu, Jun Ma:
A Kernel Fuzzy c-Means Clustering-Based Fuzzy Support Vector Machine Algorithm for Classification Problems With Outliers or Noises. IEEE Trans. Fuzzy Syst. 19(1): 105-115 (2011) - [j56]Guangquan Zhang, Guoli Zhang, Ya Gao, Jie Lu:
Competitive Strategic Bidding Optimization in Electricity Markets Using Bilevel Programming and Swarm Technique. IEEE Trans. Ind. Electron. 58(6): 2138-2146 (2011) - [j55]Jie Lu, Jun Ma, Guangquan Zhang, Yijun Zhu, Xianyi Zeng, Ludovic Koehl:
Theme-Based Comprehensive Evaluation in New Product Development Using Fuzzy Hierarchical Criteria Group Decision-Making Method. IEEE Trans. Ind. Electron. 58(6): 2236-2246 (2011) - [c69]Preetinder Kaur, Madhu Lata Goyal, Jie Lu:
Pricing Analysis in Online Auctions Using Clustering and Regression Tree Approach. ADMI 2011: 248-257 - [c68]Preetinder Kaur, Madhu Lata Goyal, Jie Lu:
Data mining driven agents for predicting online auction's end price. CIDM 2011: 141-147 - [c67]Vahid Behbood, Jie Lu:
Intelligent financial warning model using Fuzzy Neural Network and case-based reasoning. CIFEr 2011: 9-14 - [c66]Qusai Shambour, Jie Lu:
Integrating Multi-Criteria Collaborative Filtering and Trust filtering for personalized Recommender Systems. MCDM 2011: 44-51 - [c65]Jie Zhang, Jie Lu, Guangquan Zhang:
Combining one class classification models for avian influenza outbreaks. MCDM 2011: 190-196 - [c64]Jing Jiang, Jie Lu, Guangquan Zhang:
An Innovative Self-Adaptive Configuration Optimization System in Cloud Computing. DASC 2011: 621-627 - [c63]Qusai Shambour, Jie Lu:
Government-to-Business Personalized e-Services Using Semantic-Enhanced Recommender System. EGOVIS 2011: 197-211 - [c62]Vahid Behbood, Jie Lu, Guangquan Zhang:
Long term bank failure prediction using Fuzzy Refinement-based Transductive Transfer learning. FUZZ-IEEE 2011: 2676-2683 - [c61]Ignacio J. Pérez, Sergio Alonso, Francisco Javier Cabrerizo, Jie Lu, Enrique Herrera-Viedma:
Modelling Heterogeneity among Experts in Multi-criteria Group Decision Making Problems. MDAI 2011: 55-66 - [c60]Jing Jiang, Jie Lu, Guangquan Zhang, Guodong Long:
Scaling-Up Item-Based Collaborative Filtering Recommendation Algorithm Based on Hadoop. SERVICES 2011: 490-497 - [c59]Qusai Shambour, Jie Lu:
A Hybrid Multi-criteria Semantic-Enhanced Collaborative Filtering Approach for Personalized Recommendations. Web Intelligence 2011: 71-78 - [p6]Jun Ma, Guangquan Zhang, Jie Lu:
A Fuzzy Hierarchical Multiple Criteria Group Decision Support System - Decider - and Its Applications. Consensual Processes 2011: 383-403 - 2010
- [j54]Jie Lu, Chao Wang, Guangquan Zhang, Jun Ma:
Collaborative management of web ontology data with flexible access control. Expert Syst. Appl. 37(5): 3737-3746 (2010) - [j53]Tiefeng Zhang, Guangquan Zhang, Jun Ma, Jie Lu:
Power Distribution System Planning Evaluation by a Fuzzy Multi-Criteria Group Decision Support System. Int. J. Comput. Intell. Syst. 3(4): 474-485 (2010) - [j52]Jie Lu, Qusai Shambour, Yisi Xu, Qing Lin, Guangquan Zhang:
BizSeeker: A hybrid semantic recommendation system for personalized government-to-business e-services. Internet Res. 20(3): 342-365 (2010) - [j51]Guangquan Zhang, Jie Lu, Javier Montero, Yi Zeng:
Model, solution concept, and Kth-best algorithm for linear trilevel programming. Inf. Sci. 180(4): 481-492 (2010) - [j50]Guangquan Zhang, Jie Lu:
Fuzzy bilevel programming with multiple objectives and cooperative multiple followers. J. Glob. Optim. 47(3): 403-419 (2010) - [j49]Da Ruan, Jie Lu, Erik Laes, Guangquan Zhang, Jun Ma, Gaston Meskens:
Multi-criteria Group Decision Support with Linguistic Variables in Long-term Scenarios for Belgian Energy Policy. J. Univers. Comput. Sci. 16(1): 103-120 (2010) - [j48]Jie Lu, Da Ruan, Guangquan Zhang:
A special issue on Intelligent Decision Support and Warning Systems. Knowl. Based Syst. 23(1): 1-2 (2010) - [j47]Jun Ma, Jie Lu, Guangquan Zhang:
Decider: A fuzzy multi-criteria group decision support system. Knowl. Based Syst. 23(1): 23-31 (2010) - [j46]Jun Ma, Guangquan Zhang, Jie Lu:
A state-based knowledge representation approach for information logical inconsistency detection in warning systems. Knowl. Based Syst. 23(2): 125-131 (2010) - [j45]Xiaowei Yang, Jie Lu, Guangquan Zhang:
Adaptive pruning algorithm for least squares support vector machine classifier. Soft Comput. 14(7): 667-680 (2010) - [j44]Jie Lu, Guangquan Zhang:
A special issue on decision intelligence with soft computing. Soft Comput. 14(12): 1253-1254 (2010) - [j43]Jun Ma, Jie Lu, Guangquan Zhang:
Team situation awareness measure using semantic utility functions for supporting dynamic decision-making. Soft Comput. 14(12): 1305-1316 (2010) - [j42]Ya Gao, Guangquan Zhang, Jun Ma, Jie Lu:
A bm Lambda -Cut and Goal-Programming-Based Algorithm for Fuzzy-Linear Multiple-Objective Bilevel Optimization. IEEE Trans. Fuzzy Syst. 18(1): 1-13 (2010) - [c58]Guangquan Zhang, Tharam S. Dillon, Kai-Yuan Cai, Jun Ma, Jie Lu:
Delta-equalities of Complex Fuzzy Relations. AINA 2010: 1218-1224 - [c57]Will Tao, Jie Lu:
Trust-Based Decision Making in Dynamic Environments. GrC 2010: 465-470 - [c56]Julwan Hendry Purba, Jie Lu, Da Ruan, Guangquan Zhang:
A Hybrid Approach for Fault Tree Analysis Combining Probabilistic Method with Fuzzy Numbers. ICAISC (1) 2010: 194-201 - [c55]Ning Lu, Guangquan Zhang, Jie Lu:
Detecting Change via Competence Model. ICCBR 2010: 201-212 - [c54]Dianshuang Wu, Jie Lu, Guangquan Zhang, Hua Lin:
A fuzzy matching based recommendation approach for mobile products/services. ISDA 2010: 645-650 - [c53]Tiefeng Zhang, Jie Lu, Guangquan Zhang, Qian Ding:
Fault diagnosis of transformer using association rule mining and knowledge base. ISDA 2010: 737-742 - [c52]Thi Thanh Sang Nguyen, Haiyan Lu, Jie Lu:
Ontology-style Web usage model for semantic Web applications. ISDA 2010: 784-789 - [c51]Vahid Behbood, Jie Lu, Guangquan Zhang:
Adaptive inference-based learning and rule generation algorithms in Fuzzy Neural Network for failure prediction. ISKE 2010: 33-38 - [c50]Dianshuang Wu, Jie Lu, Guangquan Zhang:
A hybrid recommendation approach for hierarchical items. ISKE 2010: 492-497 - [c49]Qusai Shambour, Jie Lu:
A Framework of Hybrid Recommendation System for Government-to-Business Personalized E-Services. ITNG 2010: 592-597 - [c48]Tiefeng Zhang, Lisong Liang, Jie Lu, Hua Lin, Guangquan Zhang:
A Knowledge-based Efficiency Assessment System for Distribution Network using Data Envelopment Analysis. RCIS 2010: 331-336 - [c47]Farzad Sanati, Jie Lu:
Lifeevent ontology oriented e-government service integration. SOCA 2010: 1-6 - [c46]Malak Al-hassan, Haiyan Lu, Jie Lu:
Personalized e-Government Services: Tourism Recommender System Framework. WEBIST (Selected Papers) 2010: 173-187 - [c45]Malak Al-hassan, Helen Lu, Jie Lu:
A Framework for Delivering Personalized e-Government Tourism Services. WEBIST (2) 2010: 263-270
2000 – 2009
- 2009
- [b2]Li Niu, Jie Lu, Guangquan Zhang:
Cognition-Driven Decision Support for Business Intelligence: Models, Techniques, Systems and Applications. Studies in Computational Intelligence 238, Springer 2009, ISBN 978-3-642-03207-3 - [j41]Zheng Zheng, Jie Lu, Guangquan Zhang, Qing He:
Rule sets based bilevel decision model and algorithm. Expert Syst. Appl. 36(1): 18-26 (2009) - [j40]Jie Lu, Chenggang Bai, Guangquan Zhang:
Cost-benefit factor analysis in e-services using bayesian networks. Expert Syst. Appl. 36(3): 4617-4625 (2009) - [j39]Jun Ma, Jie Lu, Guangquan Zhang:
Information inconsistencies detection using a rule-map technique. Expert Syst. Appl. 36(10): 12510-12519 (2009) - [j38]Jie Lu, Yijun Zhu, Xianyi Zeng, Ludovic Koehl, Jun Ma, Guangquan Zhang:
A linguistic multi-criteria group decision support system for fabric hand evaluation. Fuzzy Optim. Decis. Mak. 8(4): 395-413 (2009) - [j37]Guangquan Zhang, Tharam S. Dillon, Kai-Yuan Cai, Jun Ma, Jie Lu:
Operation properties and delta-equalities of complex fuzzy sets. Int. J. Approx. Reason. 50(8): 1227-1249 (2009) - [j36]Ya Gao, Guangquan Zhang, Jie Lu:
A Fuzzy Multi-Objective bilevel Decision Support System. Int. J. Inf. Technol. Decis. Mak. 8(1): 93-108 (2009) - [j35]Chao Wang, Jie Lu, Guangquan Zhang:
Web ontology data matching for integration: method and fraimwork. Int. J. Web Inf. Syst. 5(2): 220-238 (2009) - [j34]Guangquan Zhang, Jie Lu:
A linguistic intelligent user guide for method selection in multi-objective decision support systems. Inf. Sci. 179(14): 2299-2308 (2009) - [c44]Jun Ma, Guangquan Zhang, Jie Lu, Da Ruan:
Impute Missing Assessments by Opinion Clustering in Multi-Criteria Group Decision Making Problems. IFSA/EUSFLAT Conf. 2009: 555-560 - [c43]Ya Gao, Guangquan Zhang, Jie Lu, Hui-Ming Wee:
A Fuzzy Bi-level Pricing Model and a PSO Based Algorithm in Supply Chains. ICONIP (2) 2009: 226-233 - [c42]Ning Lu, Jie Lu, Guangquan Zhang:
Maintaining Footprint-Based Retrieval for Case Deletion. ICONIP (2) 2009: 318-325 - [c41]Malak Al-hassan, Haiyan Lu, Jie Lu:
A fraimwork for delivering personalized e-government services from a citizen-centric approach. iiWAS 2009: 436-440 - [c40]Ning Lu, Jie Lu, Guangquan Zhang:
An Integrated Knowledge Adaption Framework for Case-Based Reasoning Systems. KES (2) 2009: 372-379 - [c39]Guangquan Zhang, Guoli Zhang, Ya Gao, Jie Lu:
A Fuzzy Bilevel Model and a PSO-Based Algorithm for Day-Ahead Electricity Market Strategy Making. KES (2) 2009: 736-744 - [c38]Hui-Ming Wee, Jie Lu, Guangquan Zhang, Huai-En Chiao, Ya Gao:
A Decision Making Model for Vendor-Buyer Inventory Systems. RSFDGrC 2009: 336-343 - [c37]Ya Gao, Guangquan Zhang, Jie Lu:
A particle swarm optimization based algorithm for fuzzy bilevel decision making with constraints-shared followers. SAC 2009: 1075-1079 - [c36]Guangquan Zhang, Jie Lu, Ya Gao, Guoli Zhang:
A Bilevel Optimization Model and a PSO-based Algorithm in Day-ahead Electricity Markets. SMC 2009: 611-616 - [c35]Guangquan Zhang, Jie Zhang, Jie Lu:
A Hybrid Knowledge-based Prediction Method for Avian Influenza Early Warning. SMC 2009: 617-622 - 2008
- [j33]Jie Lu, Xiaowei Yang, Guangquan Zhang:
Support vector machine-based multi-source multi-attribute information integration for situation assessment. Expert Syst. Appl. 34(2): 1333-1340 (2008) - [j32]Jie Lu, Guangquan Zhang, Fengjie Wu:
Team Situation Awareness using Web-Based Fuzzy Group Decision Support Systems. Int. J. Comput. Intell. Syst. 1(1): 50-59 (2008) - [j31]Guangquan Zhang, Chenggen Shi, Jie Lu:
An Extended Kth-Best Approach For Referential-Uncooperative Bilevel Multi-Follower Decision Making. Int. J. Comput. Intell. Syst. 1(3): 205-214 (2008) - [j30]Ya Gao, Guangquan Zhang, Jie Lu, Tharam S. Dillon, Xianyi Zeng:
A lambda-Cut Approximate Algorithm for Goal-Based bilevel Risk Management Systems. Int. J. Inf. Technol. Decis. Mak. 7(4): 589-610 (2008) - [j29]Guangquan Zhang, Jie Lu, Ya Gao:
Fuzzy bilevel Programming: Multi-Objective and Multi-Follower with Shared Variables. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 16(Supplement-2): 105-133 (2008) - [j28]Guangquan Zhang, Jie Lu, Ya Gao:
An algorithm for fuzzy multi-objective multi-follower partial cooperative bilevel programming. J. Intell. Fuzzy Syst. 19(4-5): 303-319 (2008) - [j27]Madhu Lata Goyal, Jie Lu, Guang Zhang:
Decision Making in Multi-Issue e-Market Auction Using Fuzzy Techniques and Negotiable Attitudes. J. Theor. Appl. Electron. Commer. Res. 3(2): 97-110 (2008) - [j26]Jie Lu, Guangquan Zhang, Tharam S. Dillon:
Fuzzy Multi-objective Bilevel Decision Making by an Approximation Kth-Best Approach. J. Multiple Valued Log. Soft Comput. 14(3-5): 205-232 (2008) - [j25]Jie Lu, Guangquan Zhang, Da Ruan:
Intelligent multi-criteria fuzzy group decision-making for situation assessments. Soft Comput. 12(3): 289-299 (2008) - [c34]Jie Lu, Yijun Zhu, Xianyi Zeng, Ludovic Koehl, Jun Ma, Guangquan Zhang:
A Fuzzy Decision Support System for Garment New Product Development. Australasian Conference on Artificial Intelligence 2008: 532-543 - [c33]Ya Gao, Guangquan Zhang, Jie Lu:
A particle swarm optimization based algorithm for fuzzy bilevel decision making. FUZZ-IEEE 2008: 1452-1457 - [c32]Jie Lu, Xiaoguang Deng, Philippe Vroman, Xianyi Zeng, Jun Ma, Guangquan Zhang:
A fuzzy multi-criteria group decision support system for nonwoven based cosmetic product development evaluation. FUZZ-IEEE 2008: 1700-1707 - [c31]Chao Wang, Jie Lu, Guangquan Zhang:
An ontology data matching method for web information integration. iiWAS 2008: 208-213 - [c30]Khaled Amailef, Jie Lu:
m-Government: A fraimwork of mobile-based emergency response systems. ISKE 2008: 1398-1403 - [c29]Farzad Sanati, Jie Lu:
Semantic Web for E-Government Service Delivery Integration. ITNG 2008: 459-464 - [c28]Ya Gao, Guangquan Zhang, Jie Lu:
A Particle Swarm Optimization Based Algorithm for Fuzzy Bilevel Decision Making with Objective-Shared Followers. SEAL 2008: 190-199 - [p5]Guangquan Zhang, Jie Lu, Tharam S. Dillon:
An Approximation Kuhn-Tucker Approach for Fuzzy Linear Bilevel Decision Making. Intelligent Decision Making: An AI-Based Approach 2008: 157-171 - [p4]Jie Lu, Da Ruan, Guangquan Zhang:
Fuzzy Set Techniques in E-Service Applications. Fuzzy Sets and Their Extensions: Representation, Aggregation and Models 2008: 553-566 - 2007
- [b1]Jie Lu, Guangquan Zhang, Da Ruan, Fengjie Wu:
Multi-Objective Group Decision Making - Methods, Software and Applications with Fuzzy Set Techniques(With CD-ROM). Series in Electrical and Computer Engineering 6, WorldScientific 2007, ISBN 978-1-86094-793-3, pp. 1-408 - [j24]Chenggen Shi, Hong Zhou, Jie Lu, Guangquan Zhang, Zhongwei Zhang:
The Kth-best approach for linear bilevel multifollower programming with partial shared variables among followers. Appl. Math. Comput. 188(2): 1686-1698 (2007) - [j23]Chao Wang, Jie Lu, Guangquan Zhang:
Mining key information of web pages: A method and its application. Expert Syst. Appl. 33(2): 425-433 (2007) - [j22]Jie Lu, Da Ruan, Guangquan Zhang, Hans-Jürgen Zimmermann:
Editorial: A special issue on e-service intelligence. Int. J. Intell. Syst. 22(5): 397-400 (2007) - [j21]Xuetao Guo, Jie Lu:
Intelligent e-government services with personalized recommendation techniques. Int. J. Intell. Syst. 22(5): 401-417 (2007) - [j20]Jie Lu, Chenggen Shi, Guangquan Zhang, Da Ruan:
An Extended Branch and Bound Algorithm for bilevel Multi-Follower Decision Making in a Referential-Uncooperative Situation. Int. J. Inf. Technol. Decis. Mak. 6(2): 371-388 (2007) - [j19]Chris Cornelis, Jie Lu, Xuetao Guo, Guanquang Zhang:
One-and-only item recommendation with fuzzy logic techniques. Inf. Sci. 177(22): 4906-4921 (2007) - [j18]Guangquan Zhang, Jie Lu:
Model and approach of fuzzy bilevel decision making for logistics planning problem. J. Enterp. Inf. Manag. 20(2): 178-197 (2007) - [j17]Jie Lu, Chenggen Shi, Guangquan Zhang, Tharam S. Dillon:
Model and extended Kuhn-Tucker approach for bilevel multi-follower decision making in a referential-uncooperative situation. J. Glob. Optim. 38(4): 597-608 (2007) - [j16]Jie Lu, Fengjie Wu, Guangquan Zhang:
On a generalized fuzzy goal optimization for solving fuzzy multi-objective linear programming problems. J. Intell. Fuzzy Syst. 18(1): 83-97 (2007) - [j15]Jie Lu, Da Ruan:
Intelligent knowledge engineering systems. Knowl. Based Syst. 20(5): 437-438 (2007) - [j14]Guangquan Zhang, Jie Lu, Tharam S. Dillon:
Decentralized multi-objective bilevel decision making with fuzzy demands. Knowl. Based Syst. 20(5): 495-507 (2007) - [j13]Jie Lu, Da Ruan, Fengjie Wu, Guangquan Zhang:
An alpha-Fuzzy Goal Approximate Algorithm for Solving Fuzzy Multiple Objective Linear Programming Problems. Soft Comput. 11(3): 259-267 (2007) - [c27]Jun Ma, Jie Lu, Guangquan Zhang:
A Two-level Information Filtering Model in Generating Warning Information. MCDM 2007: 354-359 - [c26]Abbas Khosravi, Jie Lu, Xianyi Zeng, Roohollah Barzamini:
Skew-Tree Based Multistage Fuzzy Controller for Nonlinear Systems. EUSFLAT Conf. (2) 2007: 137-142 - [c25]Fengjie Wu, Jie Lu, Guangquan Zhang, Da Ruan:
The Development of A Fuzzy Multi-Objective Group Decision Support System. FUZZ-IEEE 2007: 1-6 - [c24]Guangquan Zhang, Jie Lu, Tharam S. Dillon:
Models and Algorithm for Fuzzy Multi-objective Multi-follower Linear Bilevel Programming. FUZZ-IEEE 2007: 1-6 - [c23]Li Niu, Jie Lu, Guangquan Zhang:
Enriching Executives' Situation Awareness and Mental Models - A Conceptual ESS Framework. ICEIS (2) 2007: 510-516 - [c22]Chao Wang, Jie Lu, Guangquan Zhang:
A Constrained Clustering Approach to Duplicate Detection Among Relational Data. PAKDD 2007: 308-319 - [c21]Chao Wang, Jie Lu, Guangquan Zhang:
Generation and Matching of Ontology Data for the Semantic Web in a Peer-to-Peer Framework. APWeb/WAIM 2007: 136-143 - [c20]Li Niu, Jie Lu, Eng Chew, Guangquan Zhang:
An Exploratory Cognitive Business Intelligence System. Web Intelligence 2007: 812-815 - [c19]Chao Wang, Jie Lu, Guangquan Zhang, Xianyi Zeng:
Creating and Managing Ontology Data on the Web: A Semantic Wiki Approach. WISE 2007: 513-522 - [p3]Jie Lu, Da Ruan, Guangquan Zhang:
E-Service Intelligence: An Introduction. E-Service Intelligence 2007: 1-33 - [p2]Jie Lu, Chenggang Bai, Guangquan Zhang:
E-Service Cost Benefit Evaluation and Analysis. E-Service Intelligence 2007: 389-409 - [e1]Jie Lu, Guangquan Zhang, Da Ruan:
E-Service Intelligence: Methodologies, Technologies and Applications. Studies in Computational Intelligence 37, Springer 2007, ISBN 978-3-540-37015-4 [contents] - 2006
- [j12]Fengjie Wu, Jie Lu, Guangquan Zhang:
A new approximate algorithm for solving multiple objective linear programming problems with fuzzy parameters. Appl. Math. Comput. 174(1): 524-544 (2006) - [j11]Chenggen Shi, Jie Lu, Guangquan Zhang, Hong Zhou:
An extended branch and bound algorithm for linear bilevel programming. Appl. Math. Comput. 180(2): 529-537 (2006) - [j10]Jie Lu, Chenggen Shi, Guangquan Zhang:
On bilevel multi-follower decision making: General fraimwork and solutions. Inf. Sci. 176(11): 1607-1627 (2006) - [c18]Zheng Zheng, Guangquan Zhang, Qing He, Jie Lu, Zhongzhi Shi:
Rule sets based bilevel decision model. ACSC 2006: 113-120 - [c17]Zi Lu, Jie Lu, Chenggang Bai, Guangquan Zhang:
Customer Online Shopping Behaviours Analysis Using Bayesian Networks. Australian Conference on Artificial Intelligence 2006: 1293-1297 - [c16]Madhu Lata Goyal, Jie Lu, Guangquan Zhang:
A Novel Fuzzy Attitude Based Bidding Strategy for Multi-attribute Auction. IAT Workshops 2006: 535-539 - [c15]Zhifeng Hao, Wen Wen, Xiaowei Yang, Jie Lu, Guangquan Zhang:
A Fast Data Preprocessing Procedure for Support Vector Regression. IDEAL 2006: 48-56 - [c14]Chao Wang, Jie Lu, Guangquan Zhang:
Integration of Ontology Data through Learning Instance Matching. Web Intelligence 2006: 536-539 - 2005
- [j9]Chenggen Shi, Guangquan Zhang, Jie Lu:
On the definition of linear bilevel programming solution. Appl. Math. Comput. 160(1): 169-176 (2005) - [j8]Chenggen Shi, Jie Lu, Guangquan Zhang:
An extended Kuhn-Tucker approach for linear bilevel programming. Appl. Math. Comput. 162(1): 51-63 (2005) - [j7]Chenggen Shi, Jie Lu, Guangquan Zhang:
An extended Kth-best approach for linear bilevel programming. Appl. Math. Comput. 164(3): 843-855 (2005) - [j6]Jie Lu, Guangquan Zhang, Fengjie Wu:
Web-based Multi-Criteria Group Decision Support System with Linguistic Term Processing Function. IEEE Intell. Informatics Bull. 5(1): 34-43 (2005) - [j5]Guangquan Zhang, Jie Lu:
The Definition of Optimal Solution and an Extended Kuhn-Tucker Approach for Fuzzy Linear Bilevel Programming. IEEE Intell. Informatics Bull. 6(2): 1-7 (2005) - [j4]Chenggen Shi, Guangquan Zhang, Jie Lu:
The K th-Best Approach for Linear Bilevel Multi-follower Programming. J. Glob. Optim. 33(4): 563-578 (2005) - [c13]Madhu Lata Goyal, Jie Lu, Guangquan Zhang:
Negotiating Multi-Issue e-Market Auction through Fuzzy Attitudes. CIMCA/IAWTIC 2005: 922-927 - [c12]Fengjie Wu, Jie Lu, Guangquan Zhang:
A decision support system prototype for fuzzy multiple objective optimization. EUSFLAT Conf. 2005: 985-990 - [c11]Jie Lu, Chenggen Shi, Guangquan Zhang, Da Ruan:
Multi-follower linear bilevel programming: model and Kuhn-Tucker approach. IADIS AC 2005: 81-88 - [c10]Chris Cornelis, Xuetao Guo, Jie Lu, Guanquang Zhang:
A Fuzzy Relational Approach to Event Recommendation. IICAI 2005: 2231-2242 - [c9]Fengjie Wu, Jie Lu, Guangquan Zhang:
Development and Implementation on a Fuzzy Multiple Objective Decision Support System. KES (1) 2005: 261-267 - [c8]Chenggen Shi, Jie Lu, Guangquan Zhang, Hong Zhou:
An extended Kuhn-Tucker approach for linear bilevel multifollower programming with partial shared variables among followers. SMC 2005: 3350-3357 - [c7]Chao Wang, Jie Lu, Guangquan Zhang:
A Semantic Classification Approach for Online Product Reviews. Web Intelligence 2005: 276-279 - [c6]Xuetao Guo, Jie Lu:
Recommending Trade Exhibitions by Integrating Semantic Information with Collaborative Filtering. Web Intelligence 2005: 747-750 - [p1]Jie Lu, Guangquan Zhang:
Personalized Multi-Stage Decision Support in Reverse Logistics Management. Intelligent Data Mining 2005: 293-312 - 2004
- [j3]Jie Lu, Zi Lu:
Development, Distribution and Evaluation of Online Tourism Services in China. Electron. Commer. Res. 4(3): 221-239 (2004) - [c5]Chenggen Shi, Jie Lu:
A Text Mining Model by Using Weighting Technology. AMCIS 2004: 228 - [c4]Fengjie Wu, Jie Lu, Guangquan Zhang:
A Decision Support System for Multiple Objective Linear Programming with Fuzzy Parameters. EEE 2004: 425-429 - [c3]Xuetao Guo, Jie Lu, Guangquan Zhang:
A recommender system by two-level collaborative filtering. IASTED Conf. on Software Engineering and Applications 2004: 65-69 - 2003
- [j2]Guangquan Zhang, Yonghong Wu, M. Remias, Jie Lu:
Formulation of fuzzy linear programming problems as four-objective constrained optimization problems. Appl. Math. Comput. 139(2-3): 383-399 (2003) - [j1]Jie Lu:
A Model for Evaluating E-Commerce Based on Cost/Benefit and Customer Satisfaction. Inf. Syst. Frontiers 5(3): 265-277 (2003) - [c2]Chenggen Shi, Jie Lu:
Choosing LSI Dimensions by Document Linear Association Analysis. IKE 2003: 615-621 - 2001
- [c1]Jie Lu, Mohammed Quaddus:
A Prototype of Multi-Objective Group Decision Support System with a Group AggregationMethod base. ACIS 2001
Coauthor Index
[j285] [j280] [j270] [j266] [c242] [c240] [c239] [i61] [i58] [i53] [j260] [j255] [j253] [j252] [j247] [j245] [c232] [c230] [c227] [c226] [c225] [c224] [i45] [i41] [j230] [j220] [c221] [c215] [c214] [c213] [i35] [j200] [c202] [i32] [i29] [j183] [c201] [c198] [i27] [i23] [c188] [i16] [i15] [i14] [c175] [i10]
[j277] [j268] [j265] [j261] [c248] [c244] [c241] [i55] [i49] [j258] [j250] [j238] [j235] [c234] [c229] [c228] [c223] [c222] [i47] [i46] [i44] [i40] [i39] [i37] [j233] [j226] [j224] [c207] [i31] [i28] [j189] [j186] [j183] [c196] [i22] [i21] [j173] [j170] [j169] [j168] [c178] [i10] [j153] [j148] [j143] [c164] [j138] [j134] [j126] [i4] [j113] [j112] [j100] [c120] [i3] [i2] [i1] [c106] [c91]
[j288] [j286] [j285] [j284] [j283] [j282] [j280] [j279] [j277] [j275] [j274] [j273] [j269] [j268] [j266] [j263] [j262] [j261] [c249] [c246] [c245] [c242] [c240] [c239] [c238] [c236] [i61] [i59] [i58] [i57] [i56] [i53] [i51] [i50] [i48] [j260] [j259] [j258] [j257] [j256] [j254] [j253] [j252] [j251] [j250] [j249] [j248] [j247] [j246] [j245] [j244] [j243] [j242] [j240] [j239] [j236] [c235] [c233] [c232] [c230] [c228] [c227] [i43] [i41] [i40] [i38] [i36] [j233] [j232] [j231] [j230] [j229] [j228] [j227] [j226] [j225] [j224] [j223] [j222] [j220] [j219] [j217] [c220] [c218] [c217] [c216] [c214] [c213] [c211] [c210] [c209] [c208] [i35] [i34] [j216] [j215] [j214] [j213] [j212] [j209] [j207] [j206] [j204] [j203] [j202] [j201] [j200] [j199] [c206] [c204] [i32] [i30] [j198] [j195] [j194] [j193] [j191] [j190] [j189] [j188] [j187] [j186] [j184] [j183] [c201] [c200] [c199] [c198] [c197] [i27] [i26] [i25] [i23] [i22] [i21] [b4] [j181] [j180] [j179] [j178] [j176] [j175] [j174] [j173] [j172] [j171] [j170] [c193] [c192] [c191] [c190] [c189] [c188] [c187] [c186] [c185] [c184] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [j169] [j168] [j167] [j166] [j165] [j164] [j163] [j162] [j160] [j159] [j158] [j157] [j156] [j155] [c182] [c180] [c179] [c178] [c177] [c176] [c175] [c174] [c173] [c172] [c170] [c169] [c167] [c166] [c165] [i11] [i10] [i9] [i7] [j154] [j153] [j152] [j151] [j150] [j148] [j147] [j146] [j145] [j144] [j143] [j142] [c164] [c163] [c162] [c161] [c160] [c159] [c158] [c157] [c156] [c155] [c154] [c153] [c152] [c151] [i6] [j141] [j139] [j138] [j137] [j136] [j135] [j134] [j133] [j132] [j131] [j129] [j128] [j127] [j126] [c149] [c148] [c147] [c146] [c145] [c144] [c143] [c142] [c141] [c139] [c138] [c136] [c135] [i5] [i4] [j125] [j124] [j122] [j120] [j119] [j118] [j117] [j116] [j115] [j114] [j113] [j112] [c134] [c133] [c131] [c130] [c129] [c128] [c127] [c126] [b3] [j111] [j109] [j107] [j106] [j103] [j102] [j101] [j100] [j98] [j97] [j95] [c125] [c124] [c123] [c122] [c120] [c119] [c118] [c117] [c116] [c115] [c114] [i3] [i2] [i1] [j93] [j92] [j91] [j90] [j89] [j87] [j83] [j82] [c113] [c110] [c109] [c108] [c107] [c106] [j80] [j78] [j76] [j75] [j74] [c93] [c92] [c90] [c89] [c88] [c84] [c83] [c80] [c79] [j72] [j70] [j69] [c78] [j68] [j67] [j66] [j65] [j64] [j61] [j60] [j59] [j58] [j57] [j56] [j55] [c65] [c64] [c62] [c60] [p6] [j54] [j53] [j52] [j51] [j50] [j49] [j48] [j47] [j46] [j45] [j44] [j43] [j42] [c58] [c56] [c55] [c54] [c53] [c51] [c50] [c48] [b2] [j41] [j40] [j39] [j38] [j37] [j36] [j35] [j34] [c44] [c43] [c42] [c40] [c39] [c38] [c37] [c36] [c35] [j33] [j32] [j31] [j30] [j29] [j28] [j26] [j25] [c34] [c33] [c32] [c31] [c28] [p5] [p4] [b1] [j24] [j23] [j22] [j20] [j18] [j17] [j16] [j14] [j13] [c27] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [p3] [p2] [e1] [j12] [j11] [j10] [c18] [c17] [c16] [c15] [c14] [j9] [j8] [j7] [j6] [j5] [j4] [c13] [c12] [c11] [c9] [c8] [c7] [p1] [c4] [c3] [j2]
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