Guangcan Liu - RankMe

135 papers A* 16A 2B 7C 1Misc 1Journal 98Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Diff-MEF: Cross-Modal Diffusion Framework With Text Prompts and Semantic Perception for Multi-Exposure Image Fusion. IEEE Trans. Image Process. Han Xu, Yunfei Huang, Linfeng Tang, Jiayi Ma, Guangcan Liu
2025	J	`jnl`	DDP: Dual-Decoupled Prompting for Multi-Label Class-Incremental Learning. CoRR Kaile Du, Zihan Ye, Junzhou Xie, Fan Lyu, Yixi Shen, Yuyang Li, Miaoxuan Zhu, Fuyuan Hu, Ling Shao, Guangcan Liu
2025	J	`jnl`	Dynamics-based predictions of infinite-dimensional complex systems using dynamical system deep learning method. Mach. Learn. Sci. Technol. Hao Li, Jianping Li, Zixiang Wu, Mingyu Wang, Guangcan Liu, Ruipeng Sun, Ruize Li, Ning Wang, Houbin Song, Shixin Zhen
2025	A*	`conf`	Rebalancing Multi-Label Class-Incremental Learning. AAAI Kaile Du, Yifan Zhou, Fan Lyu, Yuyang Li, Junzhou Xie, Yixi Shen, Fuyuan Hu, Guangcan Liu
2025	J	`jnl`	Robust prediction of chaotic systems with random errors using dynamical system deep learning. Mach. Learn. Sci. Technol. Zixiang Wu, Jianping Li, Hao Li, Mingyu Wang, Ning Wang, Guangcan Liu
2025	J	`jnl`	Test-Time Scaling with Reflective Generative Model. CoRR Zixiao Wang, Yuxin Wang, Xiaorui Wang, Mengting Xing, Jie Gao, Jianjun Xu, Guangcan Liu, Chenhui Jin, Zhuo Wang, Shengzhuo Zhang, Hongtao Xie
2024	J	`jnl`	A real-time semi-dense depth-guided depth completion network. Vis. Comput. JieJie Xu, Yisheng Zhu, Wenqing Wang, Guangcan Liu
2024	J	`jnl`	CTCFNet: CNN-Transformer Complementary and Fusion Network for High-Resolution Remote Sensing Image Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. Chen Lu, Xian Zhang, Kaile Du, Han Xu, Guangcan Liu
2024	J	`jnl`	Confidence Self-Calibration for Multi-Label Class-Incremental Learning. CoRR Kaile Du, Yifan Zhou, Fan Lyu, Yuyang Li, Chen Lu, Guangcan Liu
2024	—	`conf`	Confidence Self-calibration for Multi-label Class-Incremental Learning. ECCV (31) Kaile Du, Yifan Zhou, Fan Lyu, Yuyang Li, Chen Lu, Guangcan Liu
2024	J	`jnl`	Decoupled spatio-temporal grouping transformer for skeleton-based action recognition. Vis. Comput. Shengkun Sun, Zihao Jia, Yisheng Zhu, Guangcan Liu, Zhengtao Yu
2024	J	`jnl`	Extraordinarily Time- and Memory-Efficient Large-Scale Canonical Correlation Analysis in Fourier Domain: From Shallow to Deep. IEEE Trans. Neural Networks Learn. Syst. Xiang-Jun Shen, Zhaorui Xu, Liangjun Wang, Zechao Li, Guangcan Liu, Jianping Fan, Zhengjun Zha
2024	J	`jnl`	MSSD: multi-scale self-distillation for object detection. Vis. Intell. Zihao Jia, Shengkun Sun, Guangcan Liu, Bo Liu
2024	J	`jnl`	Rebalancing Multi-Label Class-Incremental Learning. CoRR Kaile Du, Yifan Zhou, Fan Lyu, Yuyang Li, Junzhou Xie, Yixi Shen, Fuyuan Hu, Guangcan Liu
2024	J	`jnl`	SSCNet: learning-based subspace clustering. Vis. Intell. Xingyu Xie, Jianlong Wu, Guangcan Liu, Zhouchen Lin
2024	J	`jnl`	Towards stable training of parallel continual learning. CoRR Yuepan Li, Fan Lyu, Yuyang Li, Wei Feng, Guangcan Liu, Fanhua Shang
2024	J	`jnl`	Variational Continual Test-Time Adaptation. CoRR Fan Lyu, Kaile Du, Yuyang Li, Hanyu Zhao, Zhang Zhang, Guangcan Liu, Liang Wang
2023	A*	`conf`	Modeling the Relative Visual Tempo for Self-supervised Skeleton-based Action Recognition. ICCV Yisheng Zhu, Hu Han, Zhengtao Yu, Guangcan Liu
2023	J	`jnl`	Multi-level feature fusion pyramid network for object detection. Vis. Comput. Zebin Guo, Hui Shuai, Guangcan Liu, Yisheng Zhu, Wenqing Wang
2023	J	`jnl`	Multilevel Spatial-Temporal Excited Graph Network for Skeleton-Based Action Recognition. IEEE Trans. Image Process. Yisheng Zhu, Hui Shuai, Guangcan Liu, Qingshan Liu
2023	J	`jnl`	Optimization Induced Equilibrium Networks: An Explicit Optimization Perspective for Understanding Equilibrium Models. IEEE Trans. Pattern Anal. Mach. Intell. Xingyu Xie, Qiuhao Wang, Zenan Ling, Xia Li, Guangcan Liu, Zhouchen Lin
2023	J	`jnl`	Presswork defect inspection using only defect-free high-resolution images. Vis. Comput. Zhenyu Guan, Ziqi Wang, Yisheng Zhu, Guangcan Liu
2023	J	`jnl`	Real-Time Traffic Sign Detection Based on Weighted Attention and Model Refinement. Neural Process. Lett. Zihao Jia, Shengkun Sun, Guangcan Liu
2023	J	`jnl`	Recovery of Future Data via Convolution Nuclear Norm Minimization. IEEE Trans. Inf. Theory Guangcan Liu, Wayne Zhang
2023	J	`jnl`	Sequential Order-Aware Coding-Based Robust Subspace Clustering for Human Action Recognition in Untrimmed Videos. IEEE Trans. Image Process. Zhili Zhou, Chun Ding, Jin Li, Eman Mohammadi, Guangcan Liu, Yimin Yang, Q. M. Jonathan Wu
2022	J	`jnl`	Auto-Focus Contrastive Learning for Image Manipulation Detection. CoRR Wenyan Pan, Zhili Zhou, Guangcan Liu, Teng Huang, Hongyang Yan, Q. M. Jonathan Wu
2022	J	`jnl`	Orthogonal multi-view tensor-based learning for clustering. Neurocomputing Shuangxun Ma, Yuehu Liu, Guangcan Liu, Qinghai Zheng, Chi Zhang
2022	J	`jnl`	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. Rui Zhang, Qingshan Liu, Renlong Hang, Guangcan Liu
2022	J	`jnl`	Self-Supervised Video Representation Learning Using Improved Instance-Wise Contrastive Learning and Deep Clustering. IEEE Trans. Circuits Syst. Video Technol. Yisheng Zhu, Hui Shuai, Guangcan Liu, Qingshan Liu
2022	J	`jnl`	Time Series Forecasting via Learning Convolutionally Low-Rank Models. IEEE Trans. Inf. Theory Guangcan Liu
2021	J	`jnl`	3D Tensor Auto-encoder with Application to Video Compression. ACM Trans. Multim. Comput. Commun. Appl. Yang Li, Guangcan Liu, Yubao Sun, Qingshan Liu, Shengyong Chen
2021	J	`jnl`	Collaborative Local-Global Learning for Temporal Action Proposal. ACM Trans. Intell. Syst. Technol. Yisheng Zhu, Hu Han, Guangcan Liu, Qingshan Liu
2021	J	`jnl`	DLRF-Net: A Progressive Deep Latent Low-Rank Fusion Network for Hierarchical Subspace Discovery. ACM Trans. Multim. Comput. Commun. Appl. Zhao Zhang, Jiahuan Ren, Haijun Zhang, Zheng Zhang, Guangcan Liu, Shuicheng Yan
2021	J	`jnl`	Flexible Auto-Weighted Local-Coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering. IEEE Trans. Knowl. Data Eng. Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Dan Zeng, Shuicheng Yan, Meng Wang
2021	J	`jnl`	Matrix Completion with Deterministic Sampling: Theories and Methods. IEEE Trans. Pattern Anal. Mach. Intell. Guangcan Liu, Qingshan Liu, Xiao-Tong Yuan, Meng Wang
2021	J	`jnl`	Optimization Induced Equilibrium Networks. CoRR Xingyu Xie, Qiuhao Wang, Zenan Ling, Xia Li, Yisen Wang, Guangcan Liu, Zhouchen Lin
2021	J	`jnl`	Parallel Connected LSTM for Matrix Sequence Prediction with Elusive Correlations. ACM Trans. Intell. Syst. Technol. Qi Zhao, Chuqiao Chen, Guangcan Liu, Qingshan Liu, Shengyong Chen
2021	J	`jnl`	Tensor LISTA: Differentiable sparse representation learning for multi-dimensional tensor. Neurocomputing Qi Zhao, Guangcan Liu, Qingshan Liu
2021	J	`jnl`	Time Series Forecasting via Learning Convolutionally Low-Rank Models. CoRR Guangcan Liu
2021	J	`jnl`	Twin-Incoherent Self-Expressive Locality-Adaptive Latent Dictionary Pair Learning for Classification. IEEE Trans. Neural Networks Learn. Syst. Zhao Zhang, Yulin Sun, Yang Wang, Zheng Zhang, Haijun Zhang, Guangcan Liu, Meng Wang
2020	A*	`conf`	Deep Latent Low-Rank Fusion Network for Progressive Subspace Discovery. IJCAI Zhao Zhang, Jiahuan Ren, Zheng Zhang, Guangcan Liu
2020	J	`jnl`	Fine-grained action recognition using multi-view attentions. Vis. Comput. Yisheng Zhu, Guangcan Liu
2020	J	`jnl`	Joint Label Prediction Based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation. IEEE Trans. Knowl. Data Eng. Zhao Zhang, Yan Zhang, Guangcan Liu, Jinhui Tang, Shuicheng Yan, Meng Wang
2020	J	`jnl`	Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space. IEEE Trans. Image Process. Jiahuan Ren, Zhao Zhang, Sheng Li, Yang Wang, Guangcan Liu, Shuicheng Yan, Meng Wang
2020	J	`jnl`	Learning image compressed sensing with sub-pixel convolutional generative adversarial network. Pattern Recognit. Yubao Sun, Jiwei Chen, Qingshan Liu, Guangcan Liu
2020	A*	`conf`	Maximum-and-Concatenation Networks. ICML Xingyu Xie, Hao Kong, Jianlong Wu, Wayne Zhang, Guangcan Liu, Zhouchen Lin
2020	J	`jnl`	Maximum-and-Concatenation Networks. CoRR Xingyu Xie, Hao Kong, Jianlong Wu, Wayne Zhang, Guangcan Liu, Zhouchen Lin
2020	A	`conf`	Multilayer Collaborative Low-Rank Coding Network for Robust Deep Subspace Discovery. ECAI Xianzhen Li, Zhao Zhang, Yang Wang, Guangcan Liu, Shuicheng Yan, Meng Wang
2020	J	`jnl`	Selecting Optimal Completion to Partial Matrix via Self-Validation. IEEE Signal Process. Lett. Xin Wang, Guangcan Liu, Wayne Zhang, Qingshan Liu
2019	J	`jnl`	Correction to: On fusing the latent deep CNN feature for image classification. World Wide Web Xueliang Liu, Rongjie Zhang, Zhijun Meng, Richang Hong, Guangcan Liu
2019	A*	`conf`	Differentiable Linearized ADMM. ICML Xingyu Xie, Jianlong Wu, Guangcan Liu, Zhisheng Zhong, Zhouchen Lin
2019	J	`jnl`	Differentiable Linearized ADMM. CoRR Xingyu Xie, Jianlong Wu, Zhisheng Zhong, Guangcan Liu, Zhouchen Lin
2019	J	`jnl`	Flexible Auto-weighted Local-coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering. CoRR Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Dan Zeng, Shuicheng Yan, Meng Wang
2019	J	`jnl`	Joint Label Prediction based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation. CoRR Zhao Zhang, Yan Zhang, Guangcan Liu, Jinhui Tang, Shuicheng Yan, Meng Wang
2019	J	`jnl`	Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification. CoRR Zhao Zhang, Lei Jia, Mingbo Zhao, Guangcan Liu, Meng Wang, Shuicheng Yan
2019	J	`jnl`	Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification. IEEE Trans. Big Data Zhao Zhang, Lei Jia, Mingbo Zhao, Guangcan Liu, Meng Wang, Shuicheng Yan
2019	J	`jnl`	Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space. CoRR Jiahuan Ren, Zhao Zhang, Sheng Li, Yang Wang, Guangcan Liu, Shuicheng Yan, Meng Wang
2019	A*	`conf`	Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification. ICDM Zhao Zhang, Yulin Sun, Zheng Zhang, Yang Wang, Guangcan Liu, Meng Wang
2019	J	`jnl`	Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification. CoRR Zhao Zhang, Yulin Sun, Zheng Zhang, Yang Wang, Guangcan Liu, Meng Wang
2019	J	`jnl`	Matrix recovery with implicitly low-rank data. Neurocomputing Xingyu Xie, Jianlong Wu, Guangcan Liu, Jun Wang
2019	J	`jnl`	Moving object detection via segmentation and saliency constrained RPCA. Neurocomputing Yang Li, Guangcan Liu, Qingshan Liu, Yubao Sun, Shengyong Chen
2019	J	`jnl`	Multilayer Collaborative Low-Rank Coding Network for Robust Deep Subspace Discovery. CoRR Xianzhen Li, Zhao Zhang, Yang Wang, Guangcan Liu, Shuicheng Yan, Meng Wang
2019	J	`jnl`	On fusing the latent deep CNN feature for image classification. World Wide Web Xueliang Liu, Rongjie Zhang, Zhijun Meng, Richang Hong, Guangcan Liu
2019	J	`jnl`	Recovery of Future Data via Convolution Nuclear Norm Minimization. CoRR Guangcan Liu, Wayne Zhang
2019	J	`jnl`	Robust Low-rank subspace segmentation with finite mixture noise. Pattern Recognit. Xianglin Guo, Xingyu Xie, Guangcan Liu, Mingqiang Wei, Jun Wang
2019	J	`jnl`	Robust Subspace Clustering With Compressed Data. IEEE Trans. Image Process. Guangcan Liu, Zhao Zhang, Qingshan Liu, Hongkai Xiong
2019	J	`jnl`	Robust Unsupervised Flexible Auto-weighted Local-Coordinate Concept Factorization for Image Clustering. CoRR Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Meng Wang, Shuicheng Yan
2019	Misc	`conf`	Robust Unsupervised Flexible Auto-weighted Local-coordinate Concept Factorization for Image Clustering. ICASSP Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Meng Wang, Shuicheng Yan
2019	J	`jnl`	Robust auto-weighted projective low-rank and sparse recovery for visual representation. Neural Networks Lei Wang, Bangjun Wang, Zhao Zhang, Qiaolin Ye, Liyong Fu, Guangcan Liu, Meng Wang
2019	A*	`conf`	Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning. IJCAI Zhao Zhang, Weiming Jiang, Zheng Zhang, Sheng Li, Guangcan Liu, Jie Qin
2019	J	`jnl`	Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning. CoRR Zhao Zhang, Weiming Jiang, Zheng Zhang, Sheng Li, Guangcan Liu, Jie Qin
2019	J	`jnl`	Unsupervised Nonnegative Adaptive Feature Extraction for Data Representation. IEEE Trans. Knowl. Data Eng. Yan Zhang, Zhao Zhang, Sheng Li, Jie Qin, Guangcan Liu, Meng Wang, Shuicheng Yan
2018	J	`jnl`	Deeper cascaded peak-piloted network for weak expression recognition. Vis. Comput. Zhenbo Yu, Qinshan Liu, Guangcan Liu
2018	B	`conf`	Distilled Binary Neural Network for Monaural Speech Separation. IJCNN Xiuyi Chen, Guangcan Liu, Jing Shi, Jiaming Xu, Bo Xu
2018	J	`jnl`	Fast and Robust Subspace Clustering Using Random Projections. CoRR Guangcan Liu, Qingshan Liu, Yubao Sun, Zhao Zhang, Meng Wang
2018	J	`jnl`	Implicit Block Diagonal Low-Rank Representation. IEEE Trans. Image Process. Xingyu Xie, Xianglin Guo, Guangcan Liu, Jun Wang
2018	B	`conf`	Improving Speech Separation with Adversarial Network and Reinforcement Learning. IJCNN Guangcan Liu, Jing Shi, Xiuyi Chen, Jiaming Xu, Bo Xu
2018	A*	`conf`	Listen, Think and Listen Again: Capturing Top-down Auditory Attention for Speaker-independent Speech Separation. IJCAI Jing Shi, Jiaming Xu, Guangcan Liu, Bo Xu
2018	J	`jnl`	Matrix Completion with Nonuniform Sampling: Theories and Methods. CoRR Guangcan Liu, Qingshan Liu, Xiao-Tong Yuan, Meng Wang
2018	J	`jnl`	Matrix Recovery with Implicitly Low-Rank Data. CoRR Xingyu Xie, Jianlong Wu, Guangcan Liu, Jun Wang
2018	A*	`conf`	Modeling Attention and Memory for Auditory Selection in a Cocktail Party Environment. AAAI Jiaming Xu, Jing Shi, Guangcan Liu, Xiuyi Chen, Bo Xu
2018	J	`jnl`	Multi-component group sparse RPCA model for motion object detection under complex dynamic background. Neurocomputing Min Wu, Yubao Sun, Renlong Hang, Qingshan Liu, Guangcan Liu
2018	C	`conf`	Multi-scale Spatiotemporal Information Fusion Network for Video Action Recognition. VCIP Yutong Cai, Weiyao Lin, John See, Ming-Ming Cheng, Guangcan Liu, Hongkai Xiong
2018	—	`conf`	Pedestrian Detection with a Directly-Cascaded Deconvolution-Convolution Structure. PCM (1) Zhiming Chen, Xintong Han, Weiyao Lin, Ming-Ming Cheng, Guangcan Liu, Hongkai Xiong
2018	J	`jnl`	Reversed Spectral Hashing. IEEE Trans. Neural Networks Learn. Syst. Qingshan Liu, Guangcan Liu, Lai Li, Xiao-Tong Yuan, Meng Wang, Wei Liu
2018	B	`conf`	Robust Adaptive Low-Rank and Sparse Embedding for Feature Representation. ICPR Lei Wang, Zhao Zhang, Guangcan Liu, Qiaolin Ye, Jie Qin, Meng Wang
2018	B	`conf`	Robust Discriminative Projective Dictionary Pair Learning by Adaptive Representations. ICPR Yulin Sun, Zhao Zhang, Weiming Jiang, Guangcan Liu, Meng Wang, Shuicheng Yan
2018	B	`conf`	Robust Locality-Constrained Label Consistent K-SVD by Joint Sparse Embedding. ICPR Zhao Zhang, Weiming Jiang, Sheng Li, Jie Qin, Guangcan Liu, Shuicheng Yan
2018	B	`conf`	Robust Projective Low-Rank and Sparse Representation by Robust Dictionary Learning. ICPR Jiahuan Ren, Zhao Zhang, Sheng Li, Guangcan Liu, Meng Wang, Shuicheng Yan
2018	J	`jnl`	Semi-supervised vehicle classification via fusing affinity matrices. Signal Process. Maojin Sun, Shijie Hao, Guangcan Liu
2018	—	`conf`	Similarity-Adaptive Latent Low-Rank Representation for Robust Data Representation. PRICAI (1) Lei Wang, Zhao Zhang, Sheng Li, Guangcan Liu, Chenping Hou, Jie Qin
2018	J	`jnl`	Spatio-temporal convolutional features with nested LSTM for facial expression recognition. Neurocomputing Zhenbo Yu, Guangcan Liu, Qingshan Liu, Jiankang Deng
2017	—	`conf`	A New Theory for Matrix Completion. NIPS Guangcan Liu, Qingshan Liu, Xiaotong Yuan
2017	J	`jnl`	Adaptive Cascade Regression Model For Robust Face Alignment. IEEE Trans. Image Process. Qingshan Liu, Jiankang Deng, Jing Yang, Guangcan Liu, Dacheng Tao
2017	J	`jnl`	Blessing of Dimensionality: Recovering Mixture Data via Dictionary Pursuit. IEEE Trans. Pattern Anal. Mach. Intell. Guangcan Liu, Qingshan Liu, Ping Li
2017	J	`jnl`	Detection of Moving Object in Dynamic Background Using Gaussian Max-Pooling and Segmentation Constrained RPCA. CoRR Yang Li, Guangcan Liu, Shengyong Chen
2017	J	`jnl`	Hypergraph Embedding for Spatial-Spectral Joint Feature Extraction in Hyperspectral Images. Remote. Sens. Yubao Sun, Sujuan Wang, Qingshan Liu, Renlong Hang, Guangcan Liu
2016	J	`jnl`	A Deterministic Analysis for LRR. IEEE Trans. Pattern Anal. Mach. Intell. Guangcan Liu, Huan Xu, Jinhui Tang, Qingshan Liu, Shuicheng Yan
2016	—	`conf`	Advancing Iterative Quantization Hashing Using Isotropic Prior. MMM (2) Lai Li, Guangcan Liu, Qingshan Liu
2016	—	`conf`	Learning Additive Exponential Family Graphical Models via \ell_{2, 1}-norm Regularized M-Estimation. NIPS Xiao-Tong Yuan, Ping Li, Tong Zhang, Qingshan Liu, Guangcan Liu
2016	J	`jnl`	Low-Rank Matrix Completion in the Presence of High Coherence. IEEE Trans. Signal Process. Guangcan Liu, Ping Li
2015	A*	`conf`	Low-Rank Tensor Constrained Multiview Subspace Clustering. ICCV Changqing Zhang, Huazhu Fu, Si Liu, Guangcan Liu, Xiaochun Cao
2015	J	`jnl`	Non-blind deblurring of structured images with geometric deformation. Vis. Comput. Xin Zhang, Fuchun Sun, Guangcan Liu, Yi Ma
2014	—	`conf`	A Latent Clothing Attribute Approach for Human Pose Estimation. ACCV (1) Weipeng Zhang, Jie Shen, Guangcan Liu, Yong Yu
2014	J	`jnl`	A Latent Clothing Attribute Approach for Human Pose Estimation. CoRR Weipeng Zhang, Jie Shen, Guangcan Liu, Yong Yu
2014	J	`jnl`	Advancing Matrix Completion by Modeling Extra Structures beyond Low-Rankness. CoRR Guangcan Liu, Ping Li
2014	J	`jnl`	Blind Image Deblurring Using Spectral Properties of Convolution Operators. IEEE Trans. Image Process. Guangcan Liu, Shiyu Chang, Yi Ma
2014	J	`jnl`	Fast Low-Rank Subspace Segmentation. IEEE Trans. Knowl. Data Eng. Xin Zhang, Fuchun Sun, Guangcan Liu, Yi Ma
2014	—	`ch.`	Latent Low-Rank Representation. Low-Rank and Sparse Modeling for Visual Analysis Guangcan Liu, Shuicheng Yan
2014	—	`conf`	Recovery of Coherent Data via Low-Rank Dictionary Pursuit. NIPS Guangcan Liu, Ping Li
2014	J	`jnl`	Recovery of Coherent Data via Low-Rank Dictionary Pursuit. CoRR Guangcan Liu, Ping Li
2014	—	`ch.`	Scalable Low-Rank Representation. Low-Rank and Sparse Modeling for Visual Analysis Guangcan Liu, Shuicheng Yan
2014	J	`jnl`	Unified Structured Learning for Simultaneous Human Pose Estimation and Garment Attribute Classification. CoRR Jie Shen, Guangcan Liu, Jia Chen, Yuqiang Fang, Jianbin Xie, Yong Yu, Shuicheng Yan
2014	J	`jnl`	Unified Structured Learning for Simultaneous Human Pose Estimation and Garment Attribute Classification. IEEE Trans. Image Process. Jie Shen, Guangcan Liu, Jia Chen, Yuqiang Fang, Jianbin Xie, Yong Yu, Shuicheng Yan
2013	J	`jnl`	General Subspace Learning With Corrupted Training Data Via Graph Embedding. IEEE Trans. Image Process. Bing-Kun Bao, Guangcan Liu, Richang Hong, Shuicheng Yan, Changsheng Xu
2013	J	`jnl`	Improving Bottom-up Saliency Detection by Looking into Neighbors. IEEE Trans. Circuits Syst. Video Technol. Congyan Lang, Jiashi Feng, Guangcan Liu, Jinhui Tang, Shuicheng Yan, Jiebo Luo
2013	J	`jnl`	Robust Recovery of Subspace Structures by Low-Rank Representation. IEEE Trans. Pattern Anal. Mach. Intell. Guangcan Liu, Zhouchen Lin, Shuicheng Yan, Ju Sun, Yong Yu, Yi Ma
2012	J	`jnl`	Active Subspace: Toward Scalable Low-Rank Learning. Neural Comput. Guangcan Liu, Shuicheng Yan
2012	J	`jnl`	Blind Image Deblurring by Spectral Properties of Convolution Operators CoRR Guangcan Liu, Yi Ma
2012	A	`conf`	Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation. AISTATS Guangcan Liu, Huan Xu, Shuicheng Yan
2012	J	`jnl`	Inductive Robust Principal Component Analysis. IEEE Trans. Image Process. Bing-Kun Bao, Guangcan Liu, Changsheng Xu, Shuicheng Yan
2012	B	`conf`	Multi-Task low-rank and sparse matrix recovery for human motion segmentation. ICIP Xiangyang Wang, Wanggen Wan, Guangcan Liu
2012	A*	`conf`	Practical low-rank matrix approximation under robust L1-norm. CVPR Yinqiang Zheng, Guangcan Liu, Shigeki Sugimoto, Shuicheng Yan, Masatoshi Okutomi
2012	J	`jnl`	Saliency Detection by Multitask Sparsity Pursuit. IEEE Trans. Image Process. Congyan Lang, Guangcan Liu, Jian Yu, Shuicheng Yan
2012	A*	`conf`	Street-to-shop: Cross-scenario clothing retrieval via parts alignment and auxiliary set. CVPR Si Liu, Zheng Song, Guangcan Liu, Changsheng Xu, Hanqing Lu, Shuicheng Yan
2011	J	`jnl`	Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation CoRR Guangcan Liu, Huan Xu, Shuicheng Yan
2011	A*	`conf`	Latent Low-Rank Representation for subspace segmentation and feature extraction. ICCV Guangcan Liu, Shuicheng Yan
2011	A*	`conf`	Multi-task low-rank affinity pursuit for image segmentation. ICCV Bin Cheng, Guangcan Liu, Jingdong Wang, ZhongYang Huang, Shuicheng Yan
2010	J	`jnl`	Closed-Form Solutions to A Category of Nuclear Norm Minimization Problems CoRR Guangcan Liu, Ju Sun, Shuicheng Yan
2010	J	`jnl`	Robust Recovery of Subspace Structures by Low-Rank Representation CoRR Guangcan Liu, Zhouchen Lin, Shuicheng Yan, Ju Sun, Yong Yu, Yi Ma
2010	A*	`conf`	Robust Subspace Segmentation by Low-Rank Representation. ICML Guangcan Liu, Zhouchen Lin, Yong Yu
2010	J	`jnl`	Unsupervised Object Segmentation with a Hybrid Graph Model (HGM). IEEE Trans. Pattern Anal. Mach. Intell. Guangcan Liu, Zhouchen Lin, Yong Yu, Xiaoou Tang
2009	J	`jnl`	Multi-output regression on the output manifold. Pattern Recognit. Guangcan Liu, Zhouchen Lin, Yong Yu
2009	J	`jnl`	Radon Representation-Based Feature Descriptor for Texture Classification. IEEE Trans. Image Process. Guangcan Liu, Zhouchen Lin, Yong Yu
2005	A*	`conf`	A Learning-Based Term-Weighting Approach for Information Retrieval. AAAI Guangcan Liu, Yong Yu, Xing Zhu