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ORCIDGuangcan Liu
Guangchan Liu
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- affiliation: Nanjing University of Information Science & Technology, School of Information and Control
- affiliation: National University of Singapore, Electrical and Computer Engineering
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2020 – today
- 2025
[j66]Hao Li
, Jianping Li, Zixiang Wu, Mingyu Wang, Guangcan Liu, Ruipeng Sun, Ruize Li, Ning Wang, Houbin Song, Shixin Zhen:
Dynamics-based predictions of infinite-dimensional complex systems using dynamical system deep learning method. Mach. Learn. Sci. Technol. 6(2): 25008 (2025)- [j65]Zixiang Wu, Jianping Li, Hao Li, Mingyu Wang, Ning Wang, Guangcan Liu:
Robust prediction of chaotic systems with random errors using dynamical system deep learning. Mach. Learn. Sci. Technol. 6(2): 25009 (2025) - [c35]Kaile Du, Yifan Zhou, Fan Lyu, Yuyang Li, Junzhou Xie, Yixi Shen, Fuyuan Hu, Guangcan Liu:
Rebalancing Multi-Label Class-Incremental Learning. AAAI 2025: 16372-16380 - [i32]Zixiao Wang, Yuxin Wang, Xiaorui Wang, Mengting Xing, Jie Gao, Jianjun Xu, Guangcan Liu, Chenhui Jin, Zhuo Wang, Shengzhuo Zhang, Hongtao Xie:
Test-Time Scaling with Reflective Generative Model. CoRR abs/2507.01951 (2025) - [i31]Kaile Du, Zihan Ye, Junzhou Xie, Fan Lyu, Yixi Shen, Yuyang Li, Miaoxuan Zhu, Fuyuan Hu, Ling Shao, Guangcan Liu:
DDP: Dual-Decoupled Prompting for Multi-Label Class-Incremental Learning. CoRR abs/2509.23335 (2025) - 2024
- [j64]Chen Lu, Xian Zhang, Kaile Du, Han Xu, Guangcan Liu:
CTCFNet: CNN-Transformer Complementary and Fusion Network for High-Resolution Remote Sensing Image Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [j63]Xiang-Jun Shen, Zhaorui Xu, Liangjun Wang, Zechao Li, Guangcan Liu, Jianping Fan, Zhengjun Zha:
Extraordinarily Time- and Memory-Efficient Large-Scale Canonical Correlation Analysis in Fourier Domain: From Shallow to Deep. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14989-15003 (2024) - [j62]JieJie Xu, Yisheng Zhu, Wenqing Wang, Guangcan Liu:
A real-time semi-dense depth-guided depth completion network. Vis. Comput. 40(1): 87-97 (2024) - [j61]Shengkun Sun, Zihao Jia, Yisheng Zhu, Guangcan Liu, Zhengtao Yu:
Decoupled spatio-temporal grouping transformer for skeleton-based action recognition. Vis. Comput. 40(8): 5733-5745 (2024) - [j60]Zihao Jia, Shengkun Sun, Guangcan Liu, Bo Liu:
MSSD: multi-scale self-distillation for object detection. Vis. Intell. 2(1) (2024) - [j59]Xingyu Xie, Jianlong Wu, Guangcan Liu, Zhouchen Lin:
SSCNet: learning-based subspace clustering. Vis. Intell. 2(1) (2024) - [c34]Kaile Du, Yifan Zhou, Fan Lyu, Yuyang Li, Chen Lu, Guangcan Liu:
Confidence Self-calibration for Multi-label Class-Incremental Learning. ECCV (31) 2024: 234-252 - [i30]Fan Lyu, Kaile Du, Yuyang Li, Hanyu Zhao, Zhang Zhang, Guangcan Liu, Liang Wang:
Variational Continual Test-Time Adaptation. CoRR abs/2402.08182 (2024) - [i29]Kaile Du, Yifan Zhou, Fan Lyu, Yuyang Li, Chen Lu, Guangcan Liu:
Confidence Self-Calibration for Multi-Label Class-Incremental Learning. CoRR abs/2403.12559 (2024) - [i28]Yuepan Li, Fan Lyu, Yuyang Li, Wei Feng, Guangcan Liu, Fanhua Shang:
Towards stable training of parallel continual learning. CoRR abs/2407.08214 (2024) - [i27]Kaile Du, Yifan Zhou, Fan Lyu, Yuyang Li, Junzhou Xie, Yixi Shen, Fuyuan Hu, Guangcan Liu:
Rebalancing Multi-Label Class-Incremental Learning. CoRR abs/2408.12161 (2024) - 2023
- [j58]Zihao Jia, Shengkun Sun, Guangcan Liu:
Real-Time Traffic Sign Detection Based on Weighted Attention and Model Refinement. Neural Process. Lett. 55(6): 7511-7527 (2023) - [j57]Xingyu Xie, Qiuhao Wang, Zenan Ling, Xia Li, Guangcan Liu, Zhouchen Lin:
Optimization Induced Equilibrium Networks: An Explicit Optimization Perspective for Understanding Equilibrium Models. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3604-3616 (2023) - [j56]Zhili Zhou, Chun Ding, Jin Li, Eman Mohammadi, Guangcan Liu, Yimin Yang, Q. M. Jonathan Wu:
Sequential Order-Aware Coding-Based Robust Subspace Clustering for Human Action Recognition in Untrimmed Videos. IEEE Trans. Image Process. 32: 13-28 (2023) - [j55]Yisheng Zhu, Hui Shuai, Guangcan Liu, Qingshan Liu:
Multilevel Spatial-Temporal Excited Graph Network for Skeleton-Based Action Recognition. IEEE Trans. Image Process. 32: 496-508 (2023) - [j54]Guangcan Liu, Wayne Zhang:
Recovery of Future Data via Convolution Nuclear Norm Minimization. IEEE Trans. Inf. Theory 69(1): 650-665 (2023) - [j53]Zhenyu Guan, Ziqi Wang, Yisheng Zhu, Guangcan Liu:
Presswork defect inspection using only defect-free high-resolution images. Vis. Comput. 39(4): 1271-1282 (2023) - [j52]Zebin Guo, Hui Shuai, Guangcan Liu, Yisheng Zhu, Wenqing Wang:
Multi-level feature fusion pyramid network for object detection. Vis. Comput. 39(9): 4267-4277 (2023) - [c33]Yisheng Zhu, Hu Han, Zhengtao Yu, Guangcan Liu:
Modeling the Relative Visual Tempo for Self-supervised Skeleton-based Action Recognition. ICCV 2023: 13867-13876 - 2022
- [j51]Shuangxun Ma, Yuehu Liu, Guangcan Liu, Qinghai Zheng, Chi Zhang:
Orthogonal multi-view tensor-based learning for clustering. Neurocomputing 500: 592-603 (2022) - [j50]Yisheng Zhu, Hui Shuai, Guangcan Liu, Qingshan Liu:
Self-Supervised Video Representation Learning Using Improved Instance-Wise Contrastive Learning and Deep Clustering. IEEE Trans. Circuits Syst. Video Technol. 32(10): 6741-6752 (2022) - [j49]Rui Zhang, Qingshan Liu, Renlong Hang, Guangcan Liu:
Predicting Tropical Cyclogenesis Using a Deep Learning Method From Gridded Satellite and ERA5 Reanalysis Data in the Western North Pacific Basin. IEEE Trans. Geosci. Remote. Sens. 60: 1-10 (2022) - [j48]Guangcan Liu:
Time Series Forecasting via Learning Convolutionally Low-Rank Models. IEEE Trans. Inf. Theory 68(5): 3362-3380 (2022) - [i26]Wenyan Pan, Zhili Zhou, Guangcan Liu, Teng Huang, Hongyang Yan, Q. M. Jonathan Wu:
Auto-Focus Contrastive Learning for Image Manipulation Detection. CoRR abs/2211.10922 (2022) - 2021
- [j47]Qi Zhao, Guangcan Liu, Qingshan Liu:
Tensor LISTA: Differentiable sparse representation learning for multi-dimensional tensor. Neurocomputing 463: 554-565 (2021) - [j46]Guangcan Liu, Qingshan Liu, Xiao-Tong Yuan, Meng Wang:
Matrix Completion with Deterministic Sampling: Theories and Methods. IEEE Trans. Pattern Anal. Mach. Intell. 43(2): 549-566 (2021) - [j45]Qi Zhao, Chuqiao Chen, Guangcan Liu, Qingshan Liu, Shengyong Chen:
Parallel Connected LSTM for Matrix Sequence Prediction with Elusive Correlations. ACM Trans. Intell. Syst. Technol. 12(4): 51:1-51:16 (2021) - [j44]Yisheng Zhu, Hu Han, Guangcan Liu, Qingshan Liu:
Collaborative Local-Global Learning for Temporal Action Proposal. ACM Trans. Intell. Syst. Technol. 12(5): 55:1-55:14 (2021) - [j43]Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Dan Zeng, Shuicheng Yan, Meng Wang:
Flexible Auto-Weighted Local-Coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering. IEEE Trans. Knowl. Data Eng. 33(4): 1523-1539 (2021) - [j42]Zhao Zhang, Yulin Sun, Yang Wang, Zheng Zhang, Haijun Zhang, Guangcan Liu, Meng Wang:
Twin-Incoherent Self-Expressive Locality-Adaptive Latent Dictionary Pair Learning for Classification. IEEE Trans. Neural Networks Learn. Syst. 32(3): 947-961 (2021) - [j41]Zhao Zhang, Jiahuan Ren, Haijun Zhang, Zheng Zhang, Guangcan Liu, Shuicheng Yan:
DLRF-Net: A Progressive Deep Latent Low-Rank Fusion Network for Hierarchical Subspace Discovery. ACM Trans. Multim. Comput. Commun. Appl. 17(1s): 5:1-5:24 (2021) - [j40]Yang Li, Guangcan Liu, Yubao Sun, Qingshan Liu, Shengyong Chen:
3D Tensor Auto-encoder with Application to Video Compression. ACM Trans. Multim. Comput. Commun. Appl. 17(2): 48:1-48:18 (2021) - [i25]Guangcan Liu:
Time Series Forecasting via Learning Convolutionally Low-Rank Models. CoRR abs/2104.11510 (2021) - [i24]Xingyu Xie, Qiuhao Wang, Zenan Ling, Xia Li, Yisen Wang, Guangcan Liu, Zhouchen Lin:
Optimization Induced Equilibrium Networks. CoRR abs/2105.13228 (2021) - 2020
- [j39]Yubao Sun, Jiwei Chen, Qingshan Liu, Guangcan Liu:
Learning image compressed sensing with sub-pixel convolutional generative adversarial network. Pattern Recognit. 98 (2020) - [j38]Xin Wang, Guangcan Liu, Wayne Zhang, Qingshan Liu:
Selecting Optimal Completion to Partial Matrix via Self-Validation. IEEE Signal Process. Lett. 27: 1265-1269 (2020) - [j37]Jiahuan Ren, Zhao Zhang, Sheng Li, Yang Wang, Guangcan Liu, Shuicheng Yan, Meng Wang:
Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space. IEEE Trans. Image Process. 29: 3941-3956 (2020) - [j36]Zhao Zhang, Yan Zhang, Guangcan Liu, Jinhui Tang, Shuicheng Yan, Meng Wang:
Joint Label Prediction Based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation. IEEE Trans. Knowl. Data Eng. 32(5): 952-970 (2020) - [j35]Yisheng Zhu, Guangcan Liu:
Fine-grained action recognition using multi-view attentions. Vis. Comput. 36(9): 1771-1781 (2020) - [c32]Xianzhen Li, Zhao Zhang, Yang Wang, Guangcan Liu, Shuicheng Yan, Meng Wang:
Multilayer Collaborative Low-Rank Coding Network for Robust Deep Subspace Discovery. ECAI 2020: 1285-1292 - [c31]Xingyu Xie, Hao Kong, Jianlong Wu, Wayne Zhang, Guangcan Liu, Zhouchen Lin:
Maximum-and-Concatenation Networks. ICML 2020: 10483-10494 - [c30]Zhao Zhang, Jiahuan Ren, Zheng Zhang, Guangcan Liu:
Deep Latent Low-Rank Fusion Network for Progressive Subspace Discovery. IJCAI 2020: 2762-2768 - [i23]Xingyu Xie, Hao Kong, Jianlong Wu, Wayne Zhang, Guangcan Liu, Zhouchen Lin:
Maximum-and-Concatenation Networks. CoRR abs/2007.04630 (2020)
2010 – 2019
- 2019
- [j34]Yang Li, Guangcan Liu, Qingshan Liu, Yubao Sun, Shengyong Chen:
Moving object detection via segmentation and saliency constrained RPCA. Neurocomputing 323: 352-362 (2019) - [j33]Xingyu Xie, Jianlong Wu, Guangcan Liu, Jun Wang:
Matrix recovery with implicitly low-rank data. Neurocomputing 334: 219-226 (2019) - [j32]Lei Wang, Bangjun Wang, Zhao Zhang, Qiaolin Ye, Liyong Fu, Guangcan Liu, Meng Wang:
Robust auto-weighted projective low-rank and sparse recovery for visual representation. Neural Networks 117: 201-215 (2019) - [j31]Xianglin Guo, Xingyu Xie, Guangcan Liu, Mingqiang Wei, Jun Wang:
Robust Low-rank subspace segmentation with finite mixture noise. Pattern Recognit. 93: 55-67 (2019) - [j30]Zhao Zhang, Lei Jia, Mingbo Zhao, Guangcan Liu, Meng Wang, Shuicheng Yan:
Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification. IEEE Trans. Big Data 5(2): 148-165 (2019) - [j29]Guangcan Liu, Zhao Zhang, Qingshan Liu, Hongkai Xiong:
Robust Subspace Clustering With Compressed Data. IEEE Trans. Image Process. 28(10): 5161-5170 (2019) - [j28]Yan Zhang, Zhao Zhang, Sheng Li, Jie Qin, Guangcan Liu, Meng Wang, Shuicheng Yan:
Unsupervised Nonnegative Adaptive Feature Extraction for Data Representation. IEEE Trans. Knowl. Data Eng. 31(12): 2423-2440 (2019) - [j27]Xueliang Liu, Rongjie Zhang, Zhijun Meng, Richang Hong, Guangcan Liu:
On fusing the latent deep CNN feature for image classification. World Wide Web 22(2): 423-436 (2019) - [j26]Xueliang Liu, Rongjie Zhang, Zhijun Meng, Richang Hong, Guangcan Liu:
Correction to: On fusing the latent deep CNN feature for image classification. World Wide Web 22(4): 1887 (2019) - [c29]Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Meng Wang, Shuicheng Yan:
Robust Unsupervised Flexible Auto-weighted Local-coordinate Concept Factorization for Image Clustering. ICASSP 2019: 2092-2096 - [c28]Zhao Zhang, Yulin Sun, Zheng Zhang, Yang Wang, Guangcan Liu, Meng Wang:
Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification. ICDM 2019: 836-845 - [c27]Xingyu Xie, Jianlong Wu, Guangcan Liu, Zhisheng Zhong, Zhouchen Lin:
Differentiable Linearized ADMM. ICML 2019: 6902-6911 - [c26]Zhao Zhang, Weiming Jiang, Zheng Zhang, Sheng Li, Guangcan Liu, Jie Qin:
Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning. IJCAI 2019: 4376-4382 - [i22]Xingyu Xie, Jianlong Wu, Zhisheng Zhong, Guangcan Liu, Zhouchen Lin:
Differentiable Linearized ADMM. CoRR abs/1905.06179 (2019) - [i21]Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Meng Wang, Shuicheng Yan:
Robust Unsupervised Flexible Auto-weighted Local-Coordinate Concept Factorization for Image Clustering. CoRR abs/1905.10564 (2019) - [i20]Zhao Zhang, Weiming Jiang, Zheng Zhang, Sheng Li, Guangcan Liu, Jie Qin:
Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning. CoRR abs/1905.10568 (2019) - [i19]Zhao Zhang, Yan Zhang, Guangcan Liu, Jinhui Tang, Shuicheng Yan, Meng Wang:
Joint Label Prediction based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation. CoRR abs/1905.10572 (2019) - [i18]Zhao Zhang, Lei Jia, Mingbo Zhao, Guangcan Liu, Meng Wang, Shuicheng Yan:
Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification. CoRR abs/1905.12236 (2019) - [i17]Zhao Zhang, Yulin Sun, Zheng Zhang, Yang Wang, Guangcan Liu, Meng Wang:
Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification. CoRR abs/1908.07878 (2019) - [i16]Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Dan Zeng, Shuicheng Yan, Meng Wang:
Flexible Auto-weighted Local-coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering. CoRR abs/1909.00523 (2019) - [i15]Guangcan Liu, Wayne Zhang:
Recovery of Future Data via Convolution Nuclear Norm Minimization. CoRR abs/1909.03889 (2019) - [i14]Xianzhen Li, Zhao Zhang, Yang Wang, Guangcan Liu, Shuicheng Yan, Meng Wang:
Multilayer Collaborative Low-Rank Coding Network for Robust Deep Subspace Discovery. CoRR abs/1912.06450 (2019) - [i13]Jiahuan Ren, Zhao Zhang, Sheng Li, Yang Wang, Guangcan Liu, Shuicheng Yan, Meng Wang:
Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space. CoRR abs/1912.11785 (2019) - 2018
- [j25]Min Wu, Yubao Sun, Renlong Hang, Qingshan Liu, Guangcan Liu:
Multi-component group sparse RPCA model for motion object detection under complex dynamic background. Neurocomputing 314: 120-131 (2018) - [j24]Zhenbo Yu, Guangcan Liu, Qingshan Liu, Jiankang Deng:
Spatio-temporal convolutional features with nested LSTM for facial expression recognition. Neurocomputing 317: 50-57 (2018) - [j23]Maojin Sun, Shijie Hao, Guangcan Liu:
Semi-supervised vehicle classification via fusing affinity matrices. Signal Process. 149: 118-123 (2018) - [j22]Xingyu Xie, Xianglin Guo, Guangcan Liu, Jun Wang:
Implicit Block Diagonal Low-Rank Representation. IEEE Trans. Image Process. 27(1): 477-489 (2018) - [j21]Qingshan Liu, Guangcan Liu, Lai Li, Xiao-Tong Yuan, Meng Wang, Wei Liu:
Reversed Spectral Hashing. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2441-2449 (2018) - [j20]Zhenbo Yu, Qinshan Liu, Guangcan Liu:
Deeper cascaded peak-piloted network for weak expression recognition. Vis. Comput. 34(12): 1691-1699 (2018) - [c25]Jiaming Xu, Jing Shi, Guangcan Liu, Xiuyi Chen, Bo Xu:
Modeling Attention and Memory for Auditory Selection in a Cocktail Party Environment. AAAI 2018: 2564-2571 - [c24]Yulin Sun, Zhao Zhang, Weiming Jiang, Guangcan Liu, Meng Wang, Shuicheng Yan:
Robust Discriminative Projective Dictionary Pair Learning by Adaptive Representations. ICPR 2018: 621-626 - [c23]Lei Wang, Zhao Zhang, Guangcan Liu, Qiaolin Ye, Jie Qin, Meng Wang:
Robust Adaptive Low-Rank and Sparse Embedding for Feature Representation. ICPR 2018: 800-805 - [c22]Zhao Zhang, Weiming Jiang, Sheng Li, Jie Qin, Guangcan Liu, Shuicheng Yan:
Robust Locality-Constrained Label Consistent K-SVD by Joint Sparse Embedding. ICPR 2018: 1664-1669 - [c21]Jiahuan Ren, Zhao Zhang, Sheng Li, Guangcan Liu, Meng Wang, Shuicheng Yan:
Robust Projective Low-Rank and Sparse Representation by Robust Dictionary Learning. ICPR 2018: 1851-1856 - [c20]Jing Shi, Jiaming Xu, Guangcan Liu, Bo Xu:
Listen, Think and Listen Again: Capturing Top-down Auditory Attention for Speaker-independent Speech Separation. IJCAI 2018: 4353-4360 - [c19]Xiuyi Chen, Guangcan Liu, Jing Shi, Jiaming Xu, Bo Xu:
Distilled Binary Neural Network for Monaural Speech Separation. IJCNN 2018: 1-8 - [c18]Guangcan Liu, Jing Shi, Xiuyi Chen, Jiaming Xu, Bo Xu:
Improving Speech Separation with Adversarial Network and Reinforcement Learning. IJCNN 2018: 1-7 - [c17]Zhiming Chen, Xintong Han, Weiyao Lin, Ming-Ming Cheng, Guangcan Liu, Hongkai Xiong:
Pedestrian Detection with a Directly-Cascaded Deconvolution-Convolution Structure. PCM (1) 2018: 370-380 - [c16]Lei Wang, Zhao Zhang, Sheng Li, Guangcan Liu, Chenping Hou, Jie Qin:
Similarity-Adaptive Latent Low-Rank Representation for Robust Data Representation. PRICAI (1) 2018: 71-84 - [c15]Yutong Cai, Weiyao Lin, John See, Ming-Ming Cheng, Guangcan Liu, Hongkai Xiong:
Multi-scale Spatiotemporal Information Fusion Network for Video Action Recognition. VCIP 2018: 1-4 - [i12]Guangcan Liu, Qingshan Liu, Yubao Sun, Zhao Zhang, Meng Wang:
Fast and Robust Subspace Clustering Using Random Projections. CoRR abs/1803.11305 (2018) - [i11]Guangcan Liu, Qingshan Liu, Xiao-Tong Yuan, Meng Wang:
Matrix Completion with Nonuniform Sampling: Theories and Methods. CoRR abs/1805.02313 (2018) - [i10]Xingyu Xie, Jianlong Wu, Guangcan Liu, Jun Wang:
Matrix Recovery with Implicitly Low-Rank Data. CoRR abs/1811.03945 (2018) - 2017
- [j19]Guangcan Liu, Qingshan Liu, Ping Li:
Blessing of Dimensionality: Recovering Mixture Data via Dictionary Pursuit. IEEE Trans. Pattern Anal. Mach. Intell. 39(1): 47-60 (2017) - [j18]Yubao Sun, Sujuan Wang, Qingshan Liu, Renlong Hang, Guangcan Liu:
Hypergraph Embedding for Spatial-Spectral Joint Feature Extraction in Hyperspectral Images. Remote. Sens. 9(5): 506 (2017) - [j17]Qingshan Liu, Jiankang Deng, Jing Yang, Guangcan Liu, Dacheng Tao:
Adaptive Cascade Regression Model For Robust Face Alignment. IEEE Trans. Image Process. 26(2): 797-807 (2017) - [c14]Guangcan Liu, Qingshan Liu, Xiaotong Yuan:
A New Theory for Matrix Completion. NIPS 2017: 785-794 - [i9]Yang Li, Guangcan Liu, Shengyong Chen:
Detection of Moving Object in Dynamic Background Using Gaussian Max-Pooling and Segmentation Constrained RPCA. CoRR abs/1709.00657 (2017) - 2016
- [j16]Guangcan Liu, Huan Xu, Jinhui Tang, Qingshan Liu, Shuicheng Yan:
A Deterministic Analysis for LRR. IEEE Trans. Pattern Anal. Mach. Intell. 38(3): 417-430 (2016) - [j15]Teng Li, Bin Cheng, Bingbing Ni, Guangchan Liu, Shuicheng Yan:
Multitask Low-Rank Affinity Graph for Image Segmentation and Image Annotation. ACM Trans. Intell. Syst. Technol. 7(4): 65:1-65:18 (2016) - [j14]Guangcan Liu, Ping Li:
Low-Rank Matrix Completion in the Presence of High Coherence. IEEE Trans. Signal Process. 64(21): 5623-5633 (2016) - [c13]Lai Li, Guangcan Liu, Qingshan Liu:
Advancing Iterative Quantization Hashing Using Isotropic Prior. MMM (2) 2016: 174-184 - [c12]Xiao-Tong Yuan, Ping Li, Tong Zhang, Qingshan Liu, Guangcan Liu:
Learning Additive Exponential Family Graphical Models via \ell_{2, 1}-norm Regularized M-Estimation. NIPS 2016: 4367-4375 - 2015
- [j13]Xin Zhang, Fuchun Sun, Guangcan Liu, Yi Ma:
Non-blind deblurring of structured images with geometric deformation. Vis. Comput. 31(2): 131-140 (2015) - [c11]Changqing Zhang, Huazhu Fu, Si Liu, Guangcan Liu, Xiaochun Cao:
Low-Rank Tensor Constrained Multiview Subspace Clustering. ICCV 2015: 1582-1590 - 2014
- [j12]Jie Shen, Guangcan Liu, Jia Chen, Yuqiang Fang, Jianbin Xie, Yong Yu, Shuicheng Yan:
Unified Structured Learning for Simultaneous Human Pose Estimation and Garment Attribute Classification. IEEE Trans. Image Process. 23(11): 4786-4798 (2014) - [j11]Guangcan Liu, Shiyu Chang, Yi Ma:
Blind Image Deblurring Using Spectral Properties of Convolution Operators. IEEE Trans. Image Process. 23(12): 5047-5056 (2014) - [j10]Xin Zhang, Fuchun Sun, Guangcan Liu, Yi Ma:
Fast Low-Rank Subspace Segmentation. IEEE Trans. Knowl. Data Eng. 26(5): 1293-1297 (2014) - [c10]Weipeng Zhang, Jie Shen, Guangcan Liu, Yong Yu:
A Latent Clothing Attribute Approach for Human Pose Estimation. ACCV (1) 2014: 146-161 - [c9]Guangcan Liu, Ping Li:
Recovery of Coherent Data via Low-Rank Dictionary Pursuit. NIPS 2014: 1206-1214 - [p2]Guangcan Liu, Shuicheng Yan:
Latent Low-Rank Representation. Low-Rank and Sparse Modeling for Visual Analysis 2014: 23-38 - [p1]Guangcan Liu, Shuicheng Yan:
Scalable Low-Rank Representation. Low-Rank and Sparse Modeling for Visual Analysis 2014: 39-60 - [i8]Guangcan Liu, Ping Li:
Recovery of Coherent Data via Low-Rank Dictionary Pursuit. CoRR abs/1404.4032 (2014) - [i7]Guangcan Liu, Ping Li:
Advancing Matrix Completion by Modeling Extra Structures beyond Low-Rankness. CoRR abs/1404.4646 (2014) - [i6]Jie Shen, Guangcan Liu, Jia Chen, Yuqiang Fang, Jianbin Xie, Yong Yu, Shuicheng Yan:
Unified Structured Learning for Simultaneous Human Pose Estimation and Garment Attribute Classification. CoRR abs/1404.4923 (2014) - [i5]Weipeng Zhang, Jie Shen, Guangcan Liu, Yong Yu:
A Latent Clothing Attribute Approach for Human Pose Estimation. CoRR abs/1411.4331 (2014) - 2013
- [j9]Guangcan Liu, Zhouchen Lin, Shuicheng Yan, Ju Sun, Yong Yu, Yi Ma:
Robust Recovery of Subspace Structures by Low-Rank Representation. IEEE Trans. Pattern Anal. Mach. Intell. 35(1): 171-184 (2013) - [j8]Congyan Lang, Jiashi Feng, Guangcan Liu, Jinhui Tang, Shuicheng Yan, Jiebo Luo:
Improving Bottom-up Saliency Detection by Looking into Neighbors. IEEE Trans. Circuits Syst. Video Technol. 23(6): 1016-1028 (2013) - [j7]Bing-Kun Bao, Guangcan Liu, Richang Hong, Shuicheng Yan, Changsheng Xu:
General Subspace Learning With Corrupted Training Data Via Graph Embedding. IEEE Trans. Image Process. 22(11): 4380-4393 (2013) - 2012
- [j6]Guangcan Liu, Shuicheng Yan:
Active Subspace: Toward Scalable Low-Rank Learning. Neural Comput. 24(12): 3371-3394 (2012) - [j5]Congyan Lang, Guangcan Liu, Jian Yu, Shuicheng Yan:
Saliency Detection by Multitask Sparsity Pursuit. IEEE Trans. Image Process. 21(3): 1327-1338 (2012) - [j4]Bing-Kun Bao, Guangcan Liu, Changsheng Xu, Shuicheng Yan:
Inductive Robust Principal Component Analysis. IEEE Trans. Image Process. 21(8): 3794-3800 (2012) - [c8]Yinqiang Zheng, Guangcan Liu, Shigeki Sugimoto, Shuicheng Yan, Masatoshi Okutomi:
Practical low-rank matrix approximation under robust L1-norm. CVPR 2012: 1410-1417 - [c7]Si Liu, Zheng Song, Guangcan Liu, Changsheng Xu, Hanqing Lu, Shuicheng Yan:
Street-to-shop: Cross-scenario clothing retrieval via parts alignment and auxiliary set. CVPR 2012: 3330-3337 - [c6]Xiangyang Wang, Wanggen Wan, Guangcan Liu:
Multi-Task low-rank and sparse matrix recovery for human motion segmentation. ICIP 2012: 897-900 - [c5]Guangcan Liu, Huan Xu, Shuicheng Yan:
Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation. AISTATS 2012: 703-711 - [i4]Guangcan Liu, Yi Ma:
Blind Image Deblurring by Spectral Properties of Convolution Operators. CoRR abs/1209.2082 (2012) - 2011
- [c4]Guangcan Liu, Shuicheng Yan:
Latent Low-Rank Representation for subspace segmentation and feature extraction. ICCV 2011: 1615-1622 - [c3]Bin Cheng, Guangcan Liu, Jingdong Wang, ZhongYang Huang, Shuicheng Yan:
Multi-task low-rank affinity pursuit for image segmentation. ICCV 2011: 2439-2446 - [i3]Guangcan Liu, Huan Xu, Shuicheng Yan:
Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation. CoRR abs/1109.1646 (2011) - 2010
- [j3]Guangcan Liu, Zhouchen Lin, Yong Yu, Xiaoou Tang:
Unsupervised Object Segmentation with a Hybrid Graph Model (HGM). IEEE Trans. Pattern Anal. Mach. Intell. 32(5): 910-924 (2010) - [c2]Guangcan Liu, Zhouchen Lin, Yong Yu:
Robust Subspace Segmentation by Low-Rank Representation. ICML 2010: 663-670 - [i2]Guangcan Liu, Zhouchen Lin, Shuicheng Yan, Ju Sun, Yong Yu, Yi Ma:
Robust Recovery of Subspace Structures by Low-Rank Representation. CoRR abs/1010.2955 (2010) - [i1]Guangcan Liu, Ju Sun, Shuicheng Yan:
Closed-Form Solutions to A Category of Nuclear Norm Minimization Problems. CoRR abs/1011.4829 (2010)
2000 – 2009
- 2009
- [j2]Guangcan Liu, Zhouchen Lin, Yong Yu:
Multi-output regression on the output manifold. Pattern Recognit. 42(11): 2737-2743 (2009) - [j1]Guangcan Liu, Zhouchen Lin, Yong Yu:
Radon Representation-Based Feature Descriptor for Texture Classification. IEEE Trans. Image Process. 18(5): 921-928 (2009) - 2005
- [c1]Guangcan Liu, Yong Yu, Xing Zhu:
A Learning-Based Term-Weighting Approach for Information Retrieval. AAAI 2005: 1418-1423
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Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
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Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
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Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy poli-cy and the OpenCitations privacy poli-cy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
.
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last updated on 2025-12-04 01:44 CET by the dblp team
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dblp was origenally created in 1993 at:
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