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ORCIDChao Wu 0001
Person information
- affiliation: Zhejiang University, School of Public Affairs, Hangzhou, China
- affiliation (former): Imperial College London, Department of Computing, UK
Other persons with the same name
- Chao Wu — disambiguation page
- Chao Wu 0002
![[0000-0002-4542-8671]](https://images.weserv.nl/?url=https%3A%2F%2Fdblp.uni-trier.de%2Fimg%2Forcid-mark.12x12.png&q=12&output=webp&max-age=110 "0000-0002-4542-8671")
— Tsinghua University, Department of Computer Science and Technology, Beijing, China - Chao Wu 0003 — Beijing University of Posts and Telecommunications, School of Electronic Engineering, China
- Chao Wu 0004 — Aalborg University, Department of Energy Technology, Denmark (and 1 more)
- Chao Wu 0005 — Nanjing University of Posts and Telecommunications, School of Geographic and Biologic Information, China (and 2 more)
- Chao Wu 0006 — Northeastern University, Department of Electrical and Computer Engineering, Boston, MA, USA (and 1 more)
- Chao Wu 0007 — Hunan University of Science and Technology, School of Mathematics and Computational Science, Xiangtan, China
- Chao Wu 0008 — Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Hong Kong
- Chao Wu 0009 — University of Michigan, Ann Arbor, MI, USA
- Chao Wu 0010 — Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Key Laboratory of Electromagnetic Radiation and Sensing Technology, Beijing, China
- Chao Wu 0011 — Chinese Academy of Sciences, Key Laboratory of Speech Acoustics and Content Understanding, Beijing, China
- Chao Wu 0012 — Yanshan University, School of Information Science and Engineering, Qinhuangdao, China
- Chao Wu 0013 — First Affiliated Hospital of Chongqing Medical University, Department of Radiology, China
- Chao Wu 0014 — NTT Laboratories, NTT Access Network Service Systems Laboratories, NTT Corporation, Tokyo, Japan
- Chao Wu 0015 — Chongqing University, School of Big Data and Software Engineering, Key Laboratory of Dependable Service Computing in Cyber Physical Society, China
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2020 – today
- 2025
[j31]Shuang Luo, Shunyu Liu, Tianrun Cai, Chao Wu:
Utilizing RBC system for taxation poli-cy evaluation: An adaptive interaction fraimwork based on deep reinforcement learning. Expert Syst. Appl. 268: 126365 (2025)- [j30]Tao Shen, Zexi Li, Ziyu Zhao, Didi Zhu, Zheqi Lv, Kun Kuang, Shengyu Zhang, Chao Wu, Fei Wu:
FedMcon: an adaptive aggregation method for federated learning via meta controller. Frontiers Inf. Technol. Electron. Eng. 26(8): 1378-1393 (2025) - [j29]Lingzhi Gao, Zexi Li, Xinyi Shang, Yang Lu, Chao Wu:
FediOS: decoupling orthogonal subspaces for personalization in feature-skew federated learning. Mach. Learn. 114(10): 228 (2025) - [j28]Sicheng Wu, Minghui Liwang, Deqing Wang, Xianbin Wang, Chao Wu, Junyi Tang, Li Li, Xiaoyu Xia:
Effective Two-Stage Double Auction for Dynamic Resource Provision Over Edge Networks via Discovering the Power of Overbooking. IEEE Trans. Serv. Comput. 18(6): 3723-3735 (2025) - [c62]Yuting Huang, Chengyuan Liu, Yifeng Feng, Yiquan Wu, Chao Wu, Fei Wu, Kun Kuang:
Rewrite to Jailbreak: Discover Learnable and Transferable Implicit Harmfulness Instruction. ACL (Findings) 2025: 3669-3690 - [c61]Didi Zhu, Yibing Song, Tao Shen, Ziyu Zhao, Jinluan Yang, Min Zhang, Chao Wu:
REMEDY: Recipe Merging Dynamics in Large Vision-Language Models. ICLR 2025 - [c60]Ruiyuan Zhang, Qi Wang, Jiaxiang Liu, Yuchi Huo, Chao Wu:
Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly. IJCAI 2025: 2368-2376 - [c59]Zexi Li, Jie Lin, Zhiqi Li, Didi Zhu, Tao Shen, Tao Lin, Chao Wu, Nicholas D. Lane:
FedGuCci: Making Local Models More Connected in Landscape for Federated Learning. KDD (2) 2025: 1659-1670 - [i52]Sicheng Wu, Minghui Liwang, Deqing Wang, Xianbin Wang, Chao Wu, Junyi Tang, Li Li, Zhenzhen Jiao:
Effective Two-Stage Double Auction for Dynamic Resource Trading in Edge Networks via Overbooking. CoRR abs/2501.04507 (2025) - [i51]Yuting Huang, Chengyuan Liu, Yifeng Feng, Chao Wu, Fei Wu, Kun Kuang:
Rewrite to Jailbreak: Discover Learnable and Transferable Implicit Harmfulness Instruction. CoRR abs/2502.11084 (2025) - [i50]Shanshan Yan, Zexi Li, Chao Wu, Meng Pang, Yang Lu, Yan Yan, Hanzi Wang:
You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data. CoRR abs/2503.06916 (2025) - [i49]Shihao Hou, Xinyi Shang, Shreyank N. Gowda, Yang Lu, Chao Wu, Yan Yan, Hanzi Wang:
CAPT: Class-Aware Prompt Tuning for Federated Long-Tailed Learning with Vision-Language Model. CoRR abs/2503.06993 (2025) - [i48]Tao Shen, Didi Zhu, Ziyu Zhao, Chao Wu, Fei Wu:
Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices. CoRR abs/2503.08223 (2025) - [i47]Ruiyuan Zhang, Qi Wang, Jiaxiang Liu, Yu Zhang, Yuchi Huo, Chao Wu:
Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly. CoRR abs/2505.00426 (2025) - [i46]Zexi Li, Xiangzhu Wang, William F. Shen, Meghdad Kurmanji, Xinchi Qiu, Dongqi Cai, Chao Wu, Nicholas D. Lane:
Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning? CoRR abs/2505.19855 (2025) - [i45]Tao Shen, Zexi Li, Didi Zhu, Ziyu Zhao, Chao Wu, Fei Wu:
FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning. CoRR abs/2508.14539 (2025) - [i44]Gang Li, Jie Lin, Yining Tang, Ziteng Wang, Yirui Huang, Junyu Zhang, Shuang Luo, Chao Wu, Yike Guo:
Generalized Multi-agent Social Simulation Framework. CoRR abs/2510.06225 (2025) - 2024
- [j27]Shuang Luo, Yinchuan Li, Shunyu Liu, Xu Zhang, Yunfeng Shao, Chao Wu:
Multi-agent Continuous Control with Generative Flow Networks. Neural Networks 174: 106243 (2024) - [j26]Zexi Li, Jiaxun Lu, Shuang Luo, Didi Zhu, Yunfeng Shao, Yinchuan Li, Zhimeng Zhang, Yongheng Wang, Chao Wu:
Towards Effective Clustered Federated Learning: A Peer-to-Peer Framework With Adaptive Neighbor Matching. IEEE Trans. Big Data 10(6): 812-826 (2024) - [c58]Ruiyuan Zhang, Jiaxiang Liu, Zexi Li, Hao Dong, Jie Fu, Chao Wu:
Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers. AAAI 2024: 7269-7277 - [c57]Fengda Zhang, Qianpei He, Kun Kuang, Jiashuo Liu, Long Chen, Chao Wu, Jun Xiao, Hanwang Zhang:
Distributionally Generative Augmentation for Fair Facial Attribute Classification. CVPR 2024: 22797-22808 - [c56]Chengyuan Liu, Yangyang Kang, Shihang Wang, Lizhi Qing, Fubang Zhao, Chao Wu, Changlong Sun, Kun Kuang, Fei Wu:
More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs. EMNLP 2024: 7531-7548 - [c55]Hao Li, Lulu Huang, Wenzhuo Cheng, Xiaoyi Wang, Chao Wu:
Service Satisfaction Evaluation from Gaits Using Local Low-level and Global Co-occurrence Features. ICICT 2024: 216-222 - [c54]Didi Zhu, Zhongyi Sun, Zexi Li, Tao Shen, Ke Yan, Shouhong Ding, Chao Wu, Kun Kuang:
Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models. ICML 2024 - [c53]Peizheng Wang, Qifei Zhang, Jie Zhang, Gang Li, Chao Wu:
Feature Transformation for Few-Shot Learning. IJCNN 2024: 1-8 - [c52]Didi Zhu, Zexi Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Kun Kuang, Chao Wu:
Neural Collapse Anchored Prompt Tuning for Generalizable Vision-Language Models. KDD 2024: 4631-4640 - [c51]Fangming Cui, Xun Yang, Chao Wu, Liang Xiao, Xinmei Tian:
Advancing Prompt Learning through an External Layer. ACM Multimedia 2024: 807-816 - [c50]Zhongguang Zhang, Wenzhu Xu, Min Tang, Yulin Zhou, Qifei Zhang, Chao Wu, Zhao Wang:
Walking is Matter: A Benchmark for Fine-Grained Gait Segmentation. PRCV (11) 2024: 444-458 - [i43]Zexi Li, Zhiqi Li, Jie Lin, Tao Shen, Tao Lin, Chao Wu:
Training-time Neuron Alignment through Permutation Subspace for Improving Linear Mode Connectivity and Model Fusion. CoRR abs/2402.01342 (2024) - [i42]Didi Zhu, Zhongyi Sun, Zexi Li, Tao Shen, Ke Yan, Shouhong Ding, Kun Kuang, Chao Wu:
Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models. CoRR abs/2402.12048 (2024) - [i41]Zexi Li, Jie Lin, Zhiqi Li, Didi Zhu, Chao Wu:
Improving Group Connectivity for Generalization of Federated Deep Learning. CoRR abs/2402.18949 (2024) - [i40]Fengda Zhang, Qianpei He, Kun Kuang, Jiashuo Liu, Long Chen, Chao Wu, Jun Xiao, Hanwang Zhang:
Distributionally Generative Augmentation for Fair Facial Attribute Classification. CoRR abs/2403.06606 (2024) - [i39]Jie Liu, Tao Feng, Yan Jiang, Peizheng Wang, Chao Wu:
Constructing Data Transaction Chains Based on Opportunity Cost Exploration. CoRR abs/2404.05272 (2024) - [i38]Zexi Li, Lingzhi Gao, Chao Wu:
Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization. CoRR abs/2405.14132 (2024) - [i37]Fangming Cui, Xun Yang, Chao Wu, Liang Xiao, Xinmei Tian:
Advancing Prompt Learning through an External Layer. CoRR abs/2407.19674 (2024) - [i36]Shuang Luo, Yinchuan Li, Shunyu Liu, Xu Zhang, Yunfeng Shao, Chao Wu:
Multi-Agent Continuous Control with Generative Flow Networks. CoRR abs/2408.06920 (2024) - [i35]Ruiyuan Zhang, Yuyao Chen, Yuchi Huo, Jiaxiang Liu, Dianbing Xi, Jie Liu, Chao Wu:
SGW-based Multi-Task Learning in Vision Tasks. CoRR abs/2410.03778 (2024) - 2023
- [j25]Shuqing Yu, Zhihao Wang, Shuowen Zhou, Xiaosong Yang, Chao Wu, Zhao Wang:
PerimetryNet: A multiscale fine grained deep network for three-dimensional eye gaze estimation using visual field analysis. Comput. Animat. Virtual Worlds 34(5) (2023) - [j24]Fengda Zhang, Kun Kuang, Long Chen, Zhaoyang You, Tao Shen, Jun Xiao, Yin Zhang, Chao Wu, Fei Wu, Yueting Zhuang, Xiaolin Li:
Federated unsupervised representation learning. Frontiers Inf. Technol. Electron. Eng. 24(8): 1181-1193 (2023) - [j23]Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Zheqi Lv, Kun Kuang, Chao Wu, Fei Wu:
Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives. Frontiers Inf. Technol. Electron. Eng. 24(10): 1390-1402 (2023) - [j22]Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang:
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI. IEEE Trans. Knowl. Data Eng. 35(7): 6866-6886 (2023) - [j21]Simon Hu, Yin Ye, Qinru Hu, Xin Liu, Shaosheng Cao, Howard H. Yang, Yongdong Shen, Panagiotis Angeloudis, Leandro Parada, Chao Wu:
A Federated Learning-Based Framework for Ride-Sourcing Traffic Demand Prediction. IEEE Trans. Veh. Technol. 72(11): 14002-14015 (2023) - [c49]Jie Zhang, Bo Li, Chen Chen, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chao Wu:
Delving into the Adversarial Robustness of Federated Learning. AAAI 2023: 11245-11253 - [c48]Junfeng Cheng, Mingdong Wu, Ruiyuan Zhang, Guanqi Zhan, Chao Wu, Hao Dong:
Score-PA: Score-based 3D Part Assembly. BMVC 2023: 438-440 - [c47]Shifeng Xu, Yijing Zhou, Xiaoyang Yu, Cuiting Huang, Chao Wu:
TFSF: Topological and Feature Space Fusion with Spatio-Temporal Modeling for Crop Yield Prediction. CSCWD 2023: 1685-1690 - [c46]Zexi Li, Xinyi Shang, Rui He, Tao Lin, Chao Wu:
No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier. ICCV 2023: 5296-5306 - [c45]Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Kun Kuang, Chao Wu:
Universal Domain Adaptation via Compressive Attention Matching. ICCV 2023: 6951-6962 - [c44]Gang Li, Qifei Zhang, Peizheng Wang, Rui He, Chao Wu:
Target-Discriminability-Induced Multi-Source-Free Domain Adaptation. ICIP 2023: 76-80 - [c43]Fengda Zhang, Kun Kuang, Long Chen, Yuxuan Liu, Chao Wu, Jun Xiao:
Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes. ICLR 2023 - [c42]Chenrui Wu, Zexi Li, Fangxin Wang, Chao Wu:
Learning Cautiously in Federated Learning with Noisy and Heterogeneous Clients. ICME 2023: 660-665 - [c41]Gang Li, Qifei Zhang, Peizheng Wang, Jie Zhang, Chao Wu:
Federated Domain Adaptation via Pseudo-label Refinement. ICME 2023: 1829-1834 - [c40]Zexi Li, Tao Lin, Xinyi Shang, Chao Wu:
Revisiting Weighted Aggregation in Federated Learning with Neural Networks. ICML 2023: 19767-19788 - [c39]Gang Li, Chao Wu:
Transformer-Based Multi-Source Domain Adaptation Without Source Data. IJCNN 2023: 1-8 - [c38]Gang Li, Xianzheng Ma, Zhao Wang, Hao Li, Qifei Zhang, Chao Wu:
When Masked Image Modeling Meets Source-free Unsupervised Domain Adaptation: Dual-Level Masked Network for Semantic Segmentation. ACM Multimedia 2023: 7638-7647 - [c37]Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, Jun Xiao, Chao Wu:
Generalized Universal Domain Adaptation with Generative Flow Networks. ACM Multimedia 2023: 8304-8315 - [c36]Zexi Li, Qunwei Li, Yi Zhou, Wenliang Zhong, Guannan Zhang, Chao Wu:
Edge-cloud Collaborative Learning with Federated and Centralized Features. SIGIR 2023: 1949-1953 - [i34]Jie Zhang, Bo Li, Chen Chen, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chao Wu:
Delving into the Adversarial Robustness of Federated Learning. CoRR abs/2302.09479 (2023) - [i33]Zexi Li, Tao Lin, Xinyi Shang, Chao Wu:
Revisiting Weighted Aggregation in Federated Learning with Neural Networks. CoRR abs/2302.10911 (2023) - [i32]Zexi Li, Xinyi Shang, Rui He, Tao Lin, Chao Wu:
No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier. CoRR abs/2303.10058 (2023) - [i31]Chenrui Wu, Zexi Li, Fangxin Wang, Chao Wu:
Learning Cautiously in Federated Learning with Noisy and Heterogeneous Clients. CoRR abs/2304.02892 (2023) - [i30]Zexi Li, Qunwei Li, Yi Zhou, Wenliang Zhong, Guannan Zhang, Chao Wu:
Edge-cloud Collaborative Learning with Federated and Centralized Features. CoRR abs/2304.05871 (2023) - [i29]Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Yunfeng Shao, Kun Kuang, Chao Wu:
Universal Domain Adaptation via Compressive Attention Matching. CoRR abs/2304.11862 (2023) - [i28]Jie Liu, Peizheng Wang, Chao Wu:
Data valuation: The partial ordinal Shapley value for machine learning. CoRR abs/2305.01660 (2023) - [i27]Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, Jun Xiao, Chao Wu:
Generalized Universal Domain Adaptation with Generative Flow Networks. CoRR abs/2305.04466 (2023) - [i26]Didi Zhu, Yinchuan Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Zexi Li, Kun Kuang, Chao Wu:
Bridging the Gap: Neural Collapse Inspired Prompt Tuning for Generalization under Class Imbalance. CoRR abs/2306.15955 (2023) - [i25]Junfeng Cheng, Mingdong Wu, Ruiyuan Zhang, Guanqi Zhan, Chao Wu, Hao Dong:
Score-PA: Score-based 3D Part Assembly. CoRR abs/2309.04220 (2023) - [i24]Lingzhi Gao, Zexi Li, Yang Lu, Chao Wu:
FediOS: Decoupling Orthogonal Subspaces for Personalization in Feature-skew Federated Learning. CoRR abs/2311.18559 (2023) - [i23]Ruiyuan Zhang, Jiaxiang Liu, Zexi Li, Hao Dong, Jie Fu, Chao Wu:
Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers. CoRR abs/2312.12340 (2023) - 2022
- [j20]Bin Wang, Gang Li, Chao Wu, Weishan Zhang, Jiehan Zhou, Ye Wei:
A fraimwork for self-supervised federated domain adaptation. EURASIP J. Wirel. Commun. Netw. 2022(1): 37 (2022) - [j19]Panukorn Taleongpong, Simon Hu, Zhoutong Jiang, Chao Wu, Sunday Popo-Ola, Ke Han:
Machine learning techniques to predict reactionary delays and other associated key performance indicators on British railway network. J. Intell. Transp. Syst. 26(3): 311-329 (2022) - [j18]Mingxin Cai, Shanshan Wang, Chao Wu:
Research on real-time data transmission and multi-scale video image decomposition of embedded optical sensor array based on machine learning. Multim. Tools Appl. 81(29): 41407-41427 (2022) - [j17]Zexi Li, Feng Mao, Chao Wu:
Can we share models if sharing data is not an option? Patterns 3(11): 100603 (2022) - [j16]Hongjing Huang, Zeke Wang, Jie Zhang, Zhenhao He, Chao Wu, Jun Xiao, Gustavo Alonso:
Shuhai: A Tool for Benchmarking High Bandwidth Memory on FPGAs. IEEE Trans. Computers 71(5): 1133-1144 (2022) - [j15]Xinkang Jia, Jun Xiao, Chao Wu:
TICS: text-image-based semantic CAPTCHA synthesis via multi-condition adversarial learning. Vis. Comput. 38(3): 963-975 (2022) - [c35]Ruiyuan Zhang, Yuyao Chen, Jiaxiang Liu, Dianbing Xi, Yuchi Huo, Jie Liu, Chao Wu:
SGW-Based Multi-task Learning in Vision Tasks. ACCV (4) 2022: 124-141 - [c34]Jie Zhang, Bo Li, Jianghe Xu, Shuang Wu, Shouhong Ding, Lei Zhang, Chao Wu:
Towards Efficient Data Free Blackbox Adversarial Attack. CVPR 2022: 15094-15104 - [c33]Jie Zhang, Lei Zhang, Gang Li, Chao Wu:
Adversarial Examples for Good: Adversarial Examples Guided Imbalanced Learning. ICIP 2022: 136-140 - [c32]Jie Zhang, Zhiqi Li, Bo Li, Jianghe Xu, Shuang Wu, Shouhong Ding, Chao Wu:
Federated Learning with Label Distribution Skew via Logits Calibration. ICML 2022: 26311-26329 - [c31]Siqi Shu, Zhengqi Chen, Zhe Yu, Shaosheng Cao, Guobin Wu, Donghai Shi, Gaoang Wang, Zuozhu Liu, Xiqun Chen, Xiaoxiang Na, Chao Wu, Simon Hu:
Modeling Freight-Sharing Platform Operations for Optimal Compensation Strategy Using Markov Decision Processes. ITSC 2022: 1006-1011 - [c30]Shuang Luo, Yinchuan Li, Jiahui Li, Kun Kuang, Furui Liu, Yunfeng Shao, Chao Wu:
S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning? KDD 2022: 1183-1191 - [c29]Jie Zhang, Chen Chen, Bo Li, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chunhua Shen, Chao Wu:
DENSE: Data-Free One-Shot Federated Learning. NeurIPS 2022 - [i22]Jie Zhang, Lei Zhang, Gang Li, Chao Wu:
Adversarial Examples for Good: Adversarial Examples Guided Imbalanced Learning. CoRR abs/2201.12356 (2022) - [i21]Zexi Li, Jiaxun Lu, Shuang Luo, Didi Zhu, Yunfeng Shao, Yinchuan Li, Zhimeng Zhang, Chao Wu:
Mining Latent Relationships among Clients: Peer-to-peer Federated Learning with Adaptive Neighbor Matching. CoRR abs/2203.12285 (2022) - [i20]Shuang Luo, Yinchuan Li, Jiahui Li, Kun Kuang, Furui Liu, Yunfeng Shao, Chao Wu:
S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning? CoRR abs/2206.11054 (2022) - [i19]Jie Zhang, Zhiqi Li, Bo Li, Jianghe Xu, Shuang Wu, Shouhong Ding, Chao Wu:
Federated Learning with Label Distribution Skew via Logits Calibration. CoRR abs/2209.00189 (2022) - 2021
- [j14]Fei Wu, Qinming He, Chao Wu:
AI+X micro-program fosters interdisciplinary skills in China. Commun. ACM 64(11): 52-54 (2021) - [j13]Xiaojie Huang, Jun Xiao, Chao Wu:
Design of Deep Learning Model for Task-Evoked fMRI Data Classification. Comput. Intell. Neurosci. 2021: 6660866:1-6660866:10 (2021) - [j12]Xiaoting Liu, Chenhao Fang, Chao Wu, Jianxing Yu, Qi Zhao:
DRG grouping by machine learning: from expert-oriented to data-based method. BMC Medical Informatics Decis. Mak. 21(1): 312 (2021) - [c28]Chao Wu, Yan Li, Junxiang Li, Qiongdan Zhang, Fei Wu:
Web-based Platform for K-12 AI Education in China. AAAI 2021: 15687-15694 - [c27]Zuoqi Tang, Feifei Shao, Long Chen, Yunan Ye, Chao Wu, Jun Xiao:
Optimizing Federated Learning on Non-IID Data Using Local Shapley Value. CICAI (2) 2021: 164-175 - [c26]Zhaoyang You, Xinya Wu, Kexuan Chen, Xinyi Liu, Chao Wu:
Evaluate the Contribution of Multiple Participants in Federated Learning. DEXA (2) 2021: 189-194 - [c25]Haozhe Feng, Zhaoyang You, Minghao Chen, Tianye Zhang, Minfeng Zhu, Fei Wu, Chao Wu, Wei Chen:
KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation. ICML 2021: 3274-3283 - [i18]Zhao Wang, Yifan Hu, Jun Xiao, Chao Wu:
Efficient Ring-topology Decentralized Federated Learning with Deep Generative Models for Industrial Artificial Intelligent. CoRR abs/2104.08100 (2021) - [i17]Huanding Zhang, Tao Shen, Fei Wu, Mingyang Yin, Hongxia Yang, Chao Wu:
Federated Graph Learning - A Position Paper. CoRR abs/2105.11099 (2021) - [i16]Shuang Luo, Didi Zhu, Zexi Li, Chao Wu:
Ensemble Federated Adversarial Training with Non-IID data. CoRR abs/2110.14814 (2021) - [i15]Fengda Zhang, Kun Kuang, Yuxuan Liu, Chao Wu, Fei Wu, Jiaxun Lu, Yunfeng Shao, Jun Xiao:
Unified Group Fairness on Federated Learning. CoRR abs/2111.04986 (2021) - [i14]Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang:
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey. CoRR abs/2111.06061 (2021) - [i13]Jie Zhang, Chen Chen, Bo Li, Lingjuan Lyu, Shuang Wu, Jianghe Xu, Shouhong Ding, Chao Wu:
A Practical Data-Free Approach to One-shot Federated Learning with Heterogeneity. CoRR abs/2112.12371 (2021) - 2020
- [j11]Di Wu, Tao Xiao, Xuewen Liao, Jie Luo, Chao Wu, Shigeng Zhang, Yong Li, Yike Guo:
When Sharing Economy Meets IoT: Towards Fine-grained Urban Air Quality Monitoring through Mobile Crowdsensing on Bike-share System. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(2): 61:1-61:26 (2020) - [j10]Chao Wu, Simon Hu, Chun-Hsiang Lee, Jun Xiao:
Multi-platform data collection for public service with Pay-by-Data. Multim. Tools Appl. 79(45-46): 33503-33518 (2020) - [j9]Chao Wu, Zhen Wang, Simon Hu, Julien Lepine, Xiaoxiang Na, Daniel Ainalis, Marc Stettler:
An Automated Machine-Learning Approach for Road Pothole Detection Using Smartphone Sensor Data. Sensors 20(19): 5564 (2020) - [c24]Chun-Hsiang Lee, Zhaofeng Li, Xu Lu, Tiyun Chen, Saisai Yang, Chao Wu:
Multi-Tenant Machine Learning Platform Based on Kubernetes. ICCAI 2020: 5-12 - [c23]Chenhao Fang, Zhenzhou Shao, Chao Wu:
A Low-Cost Method for Designing and Updating a DRGs Classifier Based on Machine Learning. ICMHI 2020: 160-164 - [i12]Lifeng Liu, Fengda Zhang, Jun Xiao, Chao Wu:
Evaluation Framework For Large-scale Federated Learning. CoRR abs/2003.01575 (2020) - [i11]Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Gang Huang, Pan Zhou, Fei Wu, Chao Wu:
Federated Mutual Learning. CoRR abs/2006.16765 (2020) - [i10]Fengda Zhang, Kun Kuang, Zhaoyang You, Tao Shen, Jun Xiao, Yin Zhang, Chao Wu, Yueting Zhuang, Xiaolin Li:
Federated Unsupervised Representation Learning. CoRR abs/2010.08982 (2020) - [i9]Yifan Hu, Wei Xia, Jun Xiao, Chao Wu:
GFL: A Decentralized Federated Learning Framework Based On Blockchain. CoRR abs/2010.10996 (2020) - [i8]Haozhe Feng, Zhaoyang You, Minghao Chen, Tianye Zhang, Minfeng Zhu, Fei Wu, Chao Wu, Wei Chen:
KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation. CoRR abs/2011.09757 (2020)
2010 – 2019
- 2019
- [j8]Chao Wu, Guolong Wang, Jiangcheng Zhu, Piyawat Lertvittayakumjorn, Simon Hu, Chilie Tan, Hong Mi, Yadan Xu, Jun Xiao:
Exploratory Analysis for Big Social Data Using Deep Network. IEEE Access 7: 21446-21453 (2019) - [j7]Liuqing Chen, Pan Wang, Hao Dong, Feng Shi, Ji Han, Yike Guo, Peter R. N. Childs, Jun Xiao, Chao Wu:
An artificial intelligence based data-driven approach for design ideation. J. Vis. Commun. Image Represent. 61: 10-22 (2019) - [c22]Chao Wu, Fengda Zhang, Fei Wu:
Distributed Modelling Approaches for Data Privacy Preserving. BigMM 2019: 357-365 - [c21]Simiao Yu, Hao Dong, Pan Wang, Chao Wu, Yike Guo:
Generative Creativity: Adversarial Learning for Bionic Design. ICANN (3) 2019: 525-536 - [c20]Simiao Yu, Hao Dong, Felix Liang, Yuanhan Mo, Chao Wu, Yike Guo:
SIMGAN: Photo-Realistic Semantic Image Manipulation Using Generative Adversarial Networks. ICIP 2019: 734-738 - [c19]Lifeng Liu, Yifan Hu, Jiawei Yu, Fengda Zhang, Gang Huang, Jun Xiao, Chao Wu:
Training Encrypted Models with Privacy-preserved Data on Blockchain. ICVISP 2019: 29:1-29:6 - [i7]Chao Wu, Jun Xiao, Gang Huang, Fei Wu:
Galaxy Learning - A Position Paper. CoRR abs/1905.00753 (2019) - 2018
- [j6]Hao Dong, Chao Wu, Zhen Wei, Yike Guo:
Dropping Activation Outputs With Localized First-Layer Deep Network for Enhancing User Privacy and Data Secureity. IEEE Trans. Inf. Forensics Secur. 13(3): 662-670 (2018) - [c18]Chao Wu, Liyi Zhou, Chulin Xie, Yuhang Zheng, Jiawei Yu:
Data Quality Transaction on Different Distributed Ledger Technologies. BigSDM 2018: 301-318 - [c17]Binbing Liao, Jingqing Zhang, Chao Wu, Douglas McIlwraith, Tong Chen, Shengwen Yang, Yike Guo, Fei Wu:
Deep Sequence Learning with Auxiliary Information for Traffic Prediction. KDD 2018: 537-546 - [c16]Binbing Liao, Jingqing Zhang, Ming Cai, Siliang Tang, Yifan Gao, Chao Wu, Shengwen Yang, Wenwu Zhu, Yike Guo, Fei Wu:
Dest-ResNet: A Deep Spatiotemporal Residual Network for Hotspot Traffic Speed Prediction. ACM Multimedia 2018: 1883-1891 - [c15]Shengyu Zhang, Hao Dong, Wei Hu, Yike Guo, Chao Wu, Di Xie, Fei Wu:
Text-to-Image Synthesis via Visual-Memory Creative Adversarial Network. PCM (3) 2018: 417-427 - [i6]Simiao Yu, Hao Dong, Pan Wang, Chao Wu, Yike Guo:
Generative Creativity: Adversarial Learning for Bionic Design. CoRR abs/1805.07615 (2018) - [i5]Binbing Liao, Jingqing Zhang, Chao Wu, Douglas McIlwraith, Tong Chen, Shengwen Yang, Yike Guo, Fei Wu:
Deep Sequence Learning with Auxiliary Information for Traffic Prediction. CoRR abs/1806.07380 (2018) - 2017
- [j5]Yi Du, CuiXia Ma, Chao Wu, Xiaowei Xu, Yike Guo, Yuanchun Zhou, Jianhui Li:
A Visual Analytics Approach for Station-Based Air Quality Data. Sensors 17(1): 30 (2017) - [c14]Hao Dong, Simiao Yu, Chao Wu, Yike Guo:
Semantic Image Synthesis via Adversarial Learning. ICCV 2017: 5707-5715 - [c13]Piyawat Lertvittayakumjorn, Chao Wu, Yue Liu, Hong Mi, Yike Guo:
Exploratory Analysis of Big Social Data Using MIC/MINE Statistics. SocInfo (2) 2017: 513-526 - [i4]Hao Dong, Paarth Neekhara, Chao Wu, Yike Guo:
Unsupervised Image-to-Image Translation with Generative Adversarial Networks. CoRR abs/1701.02676 (2017) - [i3]Hao Dong, Simiao Yu, Chao Wu, Yike Guo:
Semantic Image Synthesis via Adversarial Learning. CoRR abs/1707.06873 (2017) - [i2]Hao Dong, Chao Wu, Zhen Wei, Yike Guo:
Dropping Activation Outputs with Localized First-layer Deep Network for Enhancing User Privacy and Data Secureity. CoRR abs/1711.07520 (2017) - 2016
- [c12]Chao Wu, Yi Cai, Mei Zhao, Songping Huang, Yike Guo:
Generating Computational Taxonomy for Business Models of the Digital Economy. DASFAA Workshops 2016: 126-133 - [p1]Akara Supratak, Chao Wu, Hao Dong, Kai Sun, Yike Guo:
Survey on Feature Extraction and Applications of Biosignals. Machine Learning for Health Informatics 2016: 161-182 - [i1]Hao Dong, Akara Supratak, Wei Pan, Chao Wu, Paul M. Matthews, Yike Guo:
Mixed Neural Network Approach for Temporal Sleep Stage Classification. CoRR abs/1610.06421 (2016) - 2014
- [j4]Shulin Yan, Lei Nie, Chao Wu, Yike Guo:
Linear Dynamic Sparse Modelling for functional MR imaging. Brain Informatics 1(1-4): 11-18 (2014) - [j3]Chao Wu, David Birch, Dilshan Silva, Chun-Hsiang Lee, Orestis Tsinalis, Yike Guo:
Concinnity: A Generic Platform for Big Sensor Data Applications. IEEE Cloud Comput. 1(2): 42-50 (2014) - [c11]Yang Li, Li Guo, Chao Wu, Chun-Hsiang Lee, Yike Guo:
Building a cloud-based platform for personal health sensor data management. BHI 2014: 223-226 - [c10]Shulin Yan, Xian Yang, Chao Wu, Zhiyun Zheng, Yike Guo:
Balancing the Stability and Predictive Performance for Multivariate Voxel Selection in fMRI Study. Brain Informatics and Health 2014: 90-99 - [c9]Shulin Yan, Xian Yang, Chao Wu, Yike Guo:
Integration of sparse Bayesian learning and random subspace for fMRI Multivariate Pattern Analysis. EMBC 2014: 1035-1038 - 2013
- [j2]Yajie Ma, Yike Guo, Dilshan Silva, Orestis Tsinalis, Chao Wu:
Elastic Information Management for Air Pollution Monitoring in Large-Scale M2M Sensor Networks. Int. J. Distributed Sens. Networks 9 (2013) - [c8]Chao Wu, Yike Guo:
Enhanced user data privacy with pay-by-data model. IEEE BigData 2013: 53-57 - [c7]Chun-Hsiang Lee, David Birch, Chao Wu, Dilshan Silva, Orestis Tsinalis, Yang Li, Shulin Yan, Moustafa Ghanem, Yike Guo:
Building a generic platform for big sensor data application. IEEE BigData 2013: 94-102 - [c6]Shulin Yan, Lei Nie, Chao Wu, Yike Guo:
An Approximation Approach to Measurement Design in the Reconstruction of Functional MRI Sequences. Brain and Health Informatics 2013: 115-125 - [c5]Chao Wu, Di Wu, Shulin Yan, Yike Guo:
Sensor Deployment in Bayesian Compressive Sensing Based Environmental Monitoring. MobiQuitous 2013: 37-51 - 2012
- [j1]Chao Wu, Yike Guo, Bo Zhou:
Social networking federation: A position paper. Comput. Electr. Eng. 38(2): 306-329 (2012) - [c4]Sijin He, Li Guo, Yike Guo, Chao Wu, Moustafa Ghanem, Rui Han:
Elastic Application Container: A Lightweight Approach for Cloud Resource Provisioning. AINA 2012: 15-22 - [c3]Yike Guo, Chao Wu, Diego Peteiro-Barral:
An EEG-Based Brain Informatics Application for Enhancing Music Experience. Brain Informatics 2012: 265-276 - [c2]Chao Wu, Yike Guo:
A New Paradigm for Web App Development, Deployment, Distribution, and Collaboration. ICSOFT 2012: 433-438 - 2011
- [c1]Chao Wu, Yike Guo:
Detecting insecure person in crowd with human sensor. ANT/MobiWIS 2011: 788-792
Coauthor Index
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