A Learning-Based Term-Weighting Approach for Information Retrieval. - Guangcan Liu; Yong Yu 001; Xing Zhu (AAAI, 2005)

Multi-output regression on the output manifold. - Guangcan Liu; Zhouchen Lin; Yong Yu 001 (Pattern Recognit., 2009)

Radon Representation-Based Feature Descriptor for Texture Classification. - Guangcan Liu; Zhouchen Lin; Yong Yu 001 (IEEE Trans. Image Process., 2009)

Robust Subspace Segmentation by Low-Rank Representation. - Guangcan Liu; Zhouchen Lin; Yong Yu 001 (ICML, 2010)

Closed-Form Solutions to A Category of Nuclear Norm Minimization Problems - Guangcan Liu; Ju Sun; Shuicheng Yan (CoRR, 2010)

Unsupervised Object Segmentation with a Hybrid Graph Model (HGM). - Guangcan Liu; Zhouchen Lin; Yong Yu 001; Xiaoou Tang (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Multi-task low-rank affinity pursuit for image segmentation. - Bin Cheng 001; Guangcan Liu; Jingdong Wang 001; ZhongYang Huang; Shuicheng Yan (ICCV, 2011)

Latent Low-Rank Representation for subspace segmentation and feature extraction. - Guangcan Liu; Shuicheng Yan (ICCV, 2011)

Street-to-shop: Cross-scenario clothing retrieval via parts alignment and auxiliary set. - Si Liu 001; Zheng Song; Guangcan Liu; Changsheng Xu; Hanqing Lu; Shuicheng Yan (CVPR, 2012)

Practical low-rank matrix approximation under robust L1-norm. - Yinqiang Zheng; Guangcan Liu; Shigeki Sugimoto; Shuicheng Yan; Masatoshi Okutomi (CVPR, 2012)

Multi-Task low-rank and sparse matrix recovery for human motion segmentation. - Xiangyang Wang 003; Wanggen Wan; Guangcan Liu (ICIP, 2012)

Blind Image Deblurring by Spectral Properties of Convolution Operators - Guangcan Liu; Yi Ma 001 (CoRR, 2012)

Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation. - Guangcan Liu; Huan Xu 001; Shuicheng Yan (AISTATS, 2012)

Active Subspace: Toward Scalable Low-Rank Learning. - Guangcan Liu; Shuicheng Yan (Neural Comput., 2012)

Inductive Robust Principal Component Analysis. - Bing-Kun Bao; Guangcan Liu; Changsheng Xu; Shuicheng Yan (IEEE Trans. Image Process., 2012)

Saliency Detection by Multitask Sparsity Pursuit. - Congyan Lang; Guangcan Liu; Jian Yu 001; Shuicheng Yan (IEEE Trans. Image Process., 2012)

Robust Recovery of Subspace Structures by Low-Rank Representation. - Guangcan Liu; Zhouchen Lin; Shuicheng Yan; Ju Sun; Yong Yu 001; Yi Ma 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Improving Bottom-up Saliency Detection by Looking into Neighbors. - Congyan Lang; Jiashi Feng; Guangcan Liu; Jinhui Tang 001; Shuicheng Yan; Jiebo Luo 001 (IEEE Trans. Circuits Syst. Video Technol., 2013)

General Subspace Learning With Corrupted Training Data Via Graph Embedding. - Bing-Kun Bao; Guangcan Liu; Richang Hong; Shuicheng Yan; Changsheng Xu (IEEE Trans. Image Process., 2013)

Latent Low-Rank Representation. - Guangcan Liu; Shuicheng Yan (Low-Rank and Sparse Modeling for Visual Analysis, 2014)

Scalable Low-Rank Representation. - Guangcan Liu; Shuicheng Yan (Low-Rank and Sparse Modeling for Visual Analysis, 2014)

A Latent Clothing Attribute Approach for Human Pose Estimation. - Weipeng Zhang; Jie Shen 005; Guangcan Liu; Yong Yu 001 (ACCV (1), 2014)

Recovery of Coherent Data via Low-Rank Dictionary Pursuit. - Guangcan Liu; Ping Li 001 (NIPS, 2014)

Advancing Matrix Completion by Modeling Extra Structures beyond Low-Rankness. - Guangcan Liu; Ping Li 001 (CoRR, 2014)

Blind Image Deblurring Using Spectral Properties of Convolution Operators. - Guangcan Liu; Shiyu Chang; Yi Ma 001 (IEEE Trans. Image Process., 2014)

Unified Structured Learning for Simultaneous Human Pose Estimation and Garment Attribute Classification. - Jie Shen 005; Guangcan Liu; Jia Chen 001; Yuqiang Fang; Jianbin Xie; Yong Yu 001; Shuicheng Yan (IEEE Trans. Image Process., 2014)

Fast Low-Rank Subspace Segmentation. - Xin Zhang 051; Fuchun Sun 001; Guangcan Liu; Yi Ma 001 (IEEE Trans. Knowl. Data Eng., 2014)

Low-Rank Tensor Constrained Multiview Subspace Clustering. - Changqing Zhang; Huazhu Fu; Si Liu 001; Guangcan Liu; Xiaochun Cao (ICCV, 2015)

Non-blind deblurring of structured images with geometric deformation. - Xin Zhang 051; Fuchun Sun 001; Guangcan Liu; Yi Ma 001 (Vis. Comput., 2015)

Advancing Iterative Quantization Hashing Using Isotropic Prior. - Lai Li; Guangcan Liu; Qingshan Liu 001 (MMM (2), 2016)

Learning Additive Exponential Family Graphical Models via ell_{2, 1}-norm Regularized M-Estimation. - Xiao-Tong Yuan; Ping Li 001; Tong Zhang 001; Qingshan Liu 001; Guangcan Liu (NIPS, 2016)

A Deterministic Analysis for LRR. - Guangcan Liu; Huan Xu 001; Jinhui Tang 001; Qingshan Liu 001; Shuicheng Yan (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Multitask Low-Rank Affinity Graph for Image Segmentation and Image Annotation. - Teng Li 001; Bin Cheng 001; Bingbing Ni; Guangchan Liu; Shuicheng Yan (ACM Trans. Intell. Syst. Technol., 2016)

Low-Rank Matrix Completion in the Presence of High Coherence. - Guangcan Liu; Ping Li 001 (IEEE Trans. Signal Process., 2016)

A New Theory for Matrix Completion. - Guangcan Liu; Qingshan Liu 001; Xiaotong Yuan (NIPS, 2017)

Detection of Moving Object in Dynamic Background Using Gaussian Max-Pooling and Segmentation Constrained RPCA. - Yang Li 039; Guangcan Liu; Shengyong Chen (CoRR, 2017)

Blessing of Dimensionality: Recovering Mixture Data via Dictionary Pursuit. - Guangcan Liu; Qingshan Liu 001; Ping Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Hypergraph Embedding for Spatial-Spectral Joint Feature Extraction in Hyperspectral Images. - Yubao Sun; Sujuan Wang; Qingshan Liu 001; Renlong Hang; Guangcan Liu (Remote. Sens., 2017)

Adaptive Cascade Regression Model For Robust Face Alignment. - Qingshan Liu 001; Jiankang Deng; Jing Yang 038; Guangcan Liu; Dacheng Tao (IEEE Trans. Image Process., 2017)

Modeling Attention and Memory for Auditory Selection in a Cocktail Party Environment. - Jiaming Xu 001; Jing Shi 003; Guangcan Liu; Xiuyi Chen; Bo Xu 002 (AAAI, 2018)

Robust Projective Low-Rank and Sparse Representation by Robust Dictionary Learning. - Jiahuan Ren; Zhao Zhang 001; Sheng Li 001; Guangcan Liu; Meng Wang 001; Shuicheng Yan (ICPR, 2018)

Robust Discriminative Projective Dictionary Pair Learning by Adaptive Representations. - Yulin Sun; Zhao Zhang 001; Weiming Jiang; Guangcan Liu; Meng Wang 001; Shuicheng Yan (ICPR, 2018)

Robust Adaptive Low-Rank and Sparse Embedding for Feature Representation. - Lei Wang 124; Zhao Zhang 001; Guangcan Liu; Qiaolin Ye; Jie Qin; Meng Wang 001 (ICPR, 2018)

Robust Locality-Constrained Label Consistent K-SVD by Joint Sparse Embedding. - Zhao Zhang 001; Weiming Jiang; Sheng Li 001; Jie Qin; Guangcan Liu; Shuicheng Yan (ICPR, 2018)

Listen, Think and Listen Again: Capturing Top-down Auditory Attention for Speaker-independent Speech Separation. - Jing Shi 003; Jiaming Xu 001; Guangcan Liu; Bo Xu 002 (IJCAI, 2018)

Distilled Binary Neural Network for Monaural Speech Separation. - Xiuyi Chen; Guangcan Liu; Jing Shi 003; Jiaming Xu 001; Bo Xu 002 (IJCNN, 2018)

Improving Speech Separation with Adversarial Network and Reinforcement Learning. - Guangcan Liu; Jing Shi 003; Xiuyi Chen; Jiaming Xu 001; Bo Xu 002 (IJCNN, 2018)

Pedestrian Detection with a Directly-Cascaded Deconvolution-Convolution Structure. - Zhiming Chen; Xintong Han; Weiyao Lin; Ming-Ming Cheng; Guangcan Liu; Hongkai Xiong (PCM (1), 2018)

Similarity-Adaptive Latent Low-Rank Representation for Robust Data Representation. - Lei Wang 124; Zhao Zhang 001; Sheng Li 001; Guangcan Liu; Chenping Hou; Jie Qin (PRICAI (1), 2018)

Multi-scale Spatiotemporal Information Fusion Network for Video Action Recognition. - Yutong Cai; Weiyao Lin; John See; Ming-Ming Cheng; Guangcan Liu; Hongkai Xiong (VCIP, 2018)

Fast and Robust Subspace Clustering Using Random Projections. - Guangcan Liu; Qingshan Liu 001; Yubao Sun; Zhao Zhang 001; Meng Wang 001 (CoRR, 2018)

Matrix Completion with Nonuniform Sampling: Theories and Methods. - Guangcan Liu; Qingshan Liu 001; Xiao-Tong Yuan; Meng Wang 001 (CoRR, 2018)

Multi-component group sparse RPCA model for motion object detection under complex dynamic background. - Min Wu; Yubao Sun; Renlong Hang; Qingshan Liu 001; Guangcan Liu (Neurocomputing, 2018)

Spatio-temporal convolutional features with nested LSTM for facial expression recognition. - Zhenbo Yu; Guangcan Liu; Qingshan Liu 001; Jiankang Deng (Neurocomputing, 2018)

Semi-supervised vehicle classification via fusing affinity matrices. - Maojin Sun; Shijie Hao; Guangcan Liu (Signal Process., 2018)

Implicit Block Diagonal Low-Rank Representation. - Xingyu Xie; Xianglin Guo; Guangcan Liu; Jun Wang 039 (IEEE Trans. Image Process., 2018)

Reversed Spectral Hashing. - Qingshan Liu 001; Guangcan Liu; Lai Li; Xiao-Tong Yuan; Meng Wang 001; Wei Liu 005 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Deeper cascaded peak-piloted network for weak expression recognition. - Zhenbo Yu; Qinshan Liu; Guangcan Liu (Vis. Comput., 2018)

Robust Unsupervised Flexible Auto-weighted Local-coordinate Concept Factorization for Image Clustering. - Zhao Zhang 001; Yan Zhang 053; Sheng Li 001; Guangcan Liu; Meng Wang 001; Shuicheng Yan (ICASSP, 2019)

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification. - Zhao Zhang 001; Yulin Sun; Zheng Zhang 006; Yang Wang 023; Guangcan Liu; Meng Wang 001 (ICDM, 2019)

Differentiable Linearized ADMM. - Xingyu Xie; Jianlong Wu; Guangcan Liu; Zhisheng Zhong; Zhouchen Lin (ICML, 2019)

Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning. - Zhao Zhang 001; Weiming Jiang; Zheng Zhang 006; Sheng Li 001; Guangcan Liu; Jie Qin (IJCAI, 2019)

Moving object detection via segmentation and saliency constrained RPCA. - Yang Li 039; Guangcan Liu; Qingshan Liu 001; Yubao Sun; Shengyong Chen (Neurocomputing, 2019)

Matrix recovery with implicitly low-rank data. - Xingyu Xie; Jianlong Wu; Guangcan Liu; Jun Wang 039 (Neurocomputing, 2019)

Robust auto-weighted projective low-rank and sparse recovery for visual representation. - Lei Wang 124; Bangjun Wang; Zhao Zhang 001; Qiaolin Ye; Liyong Fu; Guangcan Liu; Meng Wang 001 (Neural Networks, 2019)

Robust Low-rank subspace segmentation with finite mixture noise. - Xianglin Guo; Xingyu Xie; Guangcan Liu; Mingqiang Wei; Jun Wang 039 (Pattern Recognit., 2019)

Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification. - Zhao Zhang 001; Lei Jia; Mingbo Zhao; Guangcan Liu; Meng Wang 001; Shuicheng Yan (IEEE Trans. Big Data, 2019)

Robust Subspace Clustering With Compressed Data. - Guangcan Liu; Zhao Zhang 001; Qingshan Liu 001; Hongkai Xiong (IEEE Trans. Image Process., 2019)

Unsupervised Nonnegative Adaptive Feature Extraction for Data Representation. - Yan Zhang 053; Zhao Zhang 001; Sheng Li 001; Jie Qin; Guangcan Liu; Meng Wang 001; Shuicheng Yan (IEEE Trans. Knowl. Data Eng., 2019)

On fusing the latent deep CNN feature for image classification. - Xueliang Liu; Rongjie Zhang; Zhijun Meng; Richang Hong; Guangcan Liu (World Wide Web, 2019)

Correction to: On fusing the latent deep CNN feature for image classification. - Xueliang Liu; Rongjie Zhang; Zhijun Meng; Richang Hong; Guangcan Liu (World Wide Web, 2019)

Multilayer Collaborative Low-Rank Coding Network for Robust Deep Subspace Discovery. - Xianzhen Li; Zhao Zhang 001; Yang Wang 023; Guangcan Liu; Shuicheng Yan; Meng Wang 001 (ECAI, 2020)

Maximum-and-Concatenation Networks. - Xingyu Xie; Hao Kong; Jianlong Wu; Wayne Zhang 001; Guangcan Liu; Zhouchen Lin (ICML, 2020)

Deep Latent Low-Rank Fusion Network for Progressive Subspace Discovery. - Zhao Zhang 001; Jiahuan Ren; Zheng Zhang 006; Guangcan Liu (IJCAI, 2020)

Learning image compressed sensing with sub-pixel convolutional generative adversarial network. - Yubao Sun; Jiwei Chen; Qingshan Liu 001; Guangcan Liu (Pattern Recognit., 2020)

Selecting Optimal Completion to Partial Matrix via Self-Validation. - Xin Wang; Guangcan Liu; Wayne Zhang 001; Qingshan Liu 001 (IEEE Signal Process. Lett., 2020)

Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space. - Jiahuan Ren; Zhao Zhang 001; Sheng Li 001; Yang Wang 023; Guangcan Liu; Shuicheng Yan; Meng Wang 001 (IEEE Trans. Image Process., 2020)

Joint Label Prediction Based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation. - Zhao Zhang 001; Yan Zhang 053; Guangcan Liu; Jinhui Tang 001; Shuicheng Yan; Meng Wang 001 (IEEE Trans. Knowl. Data Eng., 2020)

Fine-grained action recognition using multi-view attentions. - Yisheng Zhu; Guangcan Liu (Vis. Comput., 2020)

Optimization Induced Equilibrium Networks. - Xingyu Xie; Qiuhao Wang; Zenan Ling; Xia Li 005; Yisen Wang 001; Guangcan Liu; Zhouchen Lin (CoRR, 2021)

Tensor LISTA: Differentiable sparse representation learning for multi-dimensional tensor. - Qi Zhao; Guangcan Liu; Qingshan Liu 001 (Neurocomputing, 2021)

Matrix Completion with Deterministic Sampling: Theories and Methods. - Guangcan Liu; Qingshan Liu 001; Xiao-Tong Yuan; Meng Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Parallel Connected LSTM for Matrix Sequence Prediction with Elusive Correlations. - Qi Zhao; Chuqiao Chen; Guangcan Liu; Qingshan Liu 001; Shengyong Chen (ACM Trans. Intell. Syst. Technol., 2021)

Collaborative Local-Global Learning for Temporal Action Proposal. - Yisheng Zhu; Hu Han 001; Guangcan Liu; Qingshan Liu 001 (ACM Trans. Intell. Syst. Technol., 2021)

Flexible Auto-Weighted Local-Coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering. - Zhao Zhang 001; Yan Zhang 053; Sheng Li 001; Guangcan Liu; Dan Zeng 001; Shuicheng Yan; Meng Wang 001 (IEEE Trans. Knowl. Data Eng., 2021)

Twin-Incoherent Self-Expressive Locality-Adaptive Latent Dictionary Pair Learning for Classification. - Zhao Zhang 001; Yulin Sun; Yang Wang 023; Zheng Zhang 006; Haijun Zhang 002; Guangcan Liu; Meng Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

3D Tensor Auto-encoder with Application to Video Compression. - Yang Li 039; Guangcan Liu; Yubao Sun; Qingshan Liu 001; Shengyong Chen (ACM Trans. Multim. Comput. Commun. Appl., 2021)

DLRF-Net: A Progressive Deep Latent Low-Rank Fusion Network for Hierarchical Subspace Discovery. - Zhao Zhang 001; Jiahuan Ren; Haijun Zhang 002; Zheng Zhang 006; Guangcan Liu; Shuicheng Yan (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Auto-Focus Contrastive Learning for Image Manipulation Detection. - Wenyan Pan; Zhili Zhou 001; Guangcan Liu; Teng Huang 001; Hongyang Yan; Q. M. Jonathan Wu (CoRR, 2022)

Orthogonal multi-view tensor-based learning for clustering. - Shuangxun Ma; Yuehu Liu; Guangcan Liu; Qinghai Zheng; Chi Zhang 020 (Neurocomputing, 2022)

Self-Supervised Video Representation Learning Using Improved Instance-Wise Contrastive Learning and Deep Clustering. - Yisheng Zhu; Hui Shuai; Guangcan Liu; Qingshan Liu 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Predicting Tropical Cyclogenesis Using a Deep Learning Method From Gridded Satellite and ERA5 Reanalysis Data in the Western North Pacific Basin. - Rui Zhang 049; Qingshan Liu 001; Renlong Hang; Guangcan Liu (IEEE Trans. Geosci. Remote. Sens., 2022)

Time Series Forecasting via Learning Convolutionally Low-Rank Models. - Guangcan Liu (IEEE Trans. Inf. Theory, 2022)

Modeling the Relative Visual Tempo for Self-supervised Skeleton-based Action Recognition. - Yisheng Zhu; Hu Han 001; Zhengtao Yu 001; Guangcan Liu (ICCV, 2023)

Sequential Order-Aware Coding-Based Robust Subspace Clustering for Human Action Recognition in Untrimmed Videos. - Zhili Zhou 001; Chun Ding; Jin Li 002; Eman Mohammadi; Guangcan Liu; Yimin Yang 001; Q. M. Jonathan Wu (IEEE Trans. Image Process., 2023)

Multilevel Spatial-Temporal Excited Graph Network for Skeleton-Based Action Recognition. - Yisheng Zhu; Hui Shuai; Guangcan Liu; Qingshan Liu 001 (IEEE Trans. Image Process., 2023)

Recovery of Future Data via Convolution Nuclear Norm Minimization. - Guangcan Liu; Wayne Zhang 001 (IEEE Trans. Inf. Theory, 2023)

Optimization Induced Equilibrium Networks: An Explicit Optimization Perspective for Understanding Equilibrium Models. - Xingyu Xie; Qiuhao Wang; Zenan Ling; Xia Li 005; Guangcan Liu; Zhouchen Lin (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Presswork defect inspection using only defect-free high-resolution images. - Zhenyu Guan; Ziqi Wang; Yisheng Zhu; Guangcan Liu (Vis. Comput., 2023)

Multi-level feature fusion pyramid network for object detection. - Zebin Guo; Hui Shuai; Guangcan Liu; Yisheng Zhu; Wenqing Wang (Vis. Comput., 2023)

Real-Time Traffic Sign Detection Based on Weighted Attention and Model Refinement. - Zihao Jia; Shengkun Sun; Guangcan Liu (Neural Process. Lett., 2023)

Confidence Self-calibration for Multi-label Class-Incremental Learning. - Kaile Du; Yifan Zhou; Fan Lyu; Yuyang Li 005; Chen Lu 004; Guangcan Liu (ECCV (31), 2024)

Variational Continual Test-Time Adaptation. - Fan Lyu; Kaile Du; Yuyang Li 005; Hanyu Zhao; Zhang Zhang 001; Guangcan Liu; Liang Wang 001 (CoRR, 2024)

Towards stable training of parallel continual learning. - Yuepan Li; Fan Lyu; Yuyang Li 005; Wei Feng 005; Guangcan Liu; Fanhua Shang (CoRR, 2024)

CTCFNet: CNN-Transformer Complementary and Fusion Network for High-Resolution Remote Sensing Image Semantic Segmentation. - Chen Lu 004; Xian Zhang; Kaile Du; Han Xu 001; Guangcan Liu (IEEE Trans. Geosci. Remote. Sens., 2024)

MSSD: multi-scale self-distillation for object detection. - Zihao Jia; Shengkun Sun; Guangcan Liu; Bo Liu (Vis. Intell., 2024)

SSCNet: learning-based subspace clustering. - Xingyu Xie; Jianlong Wu; Guangcan Liu; Zhouchen Lin (Vis. Intell., 2024)

A real-time semi-dense depth-guided depth completion network. - JieJie Xu; Yisheng Zhu; Wenqing Wang; Guangcan Liu (Vis. Comput., 2024)

Decoupled spatio-temporal grouping transformer for skeleton-based action recognition. - Shengkun Sun; Zihao Jia; Yisheng Zhu; Guangcan Liu; Zhengtao Yu 001 (Vis. Comput., 2024)

Extraordinarily Time- and Memory-Efficient Large-Scale Canonical Correlation Analysis in Fourier Domain: From Shallow to Deep. - Xiang-Jun Shen; Zhaorui Xu; Liangjun Wang; Zechao Li; Guangcan Liu; Jianping Fan 007; Zhengjun Zha (IEEE Trans. Neural Networks Learn. Syst., 2024)

Rebalancing Multi-Label Class-Incremental Learning. - Kaile Du; Yifan Zhou; Fan Lyu; Yuyang Li 005; Junzhou Xie; Yixi Shen; Fuyuan Hu; Guangcan Liu (AAAI, 2025)

Dynamics-based predictions of infinite-dimensional complex systems using dynamical system deep learning method. - Hao Li; Jianping Li; Zixiang Wu; Mingyu Wang; Guangcan Liu; Ruipeng Sun; Ruize Li; Ning Wang; Houbin Song; Shixin Zhen (Mach. Learn. Sci. Technol., 2025)

Robust prediction of chaotic systems with random errors using dynamical system deep learning. - Zixiang Wu; Jianping Li; Hao Li; Mingyu Wang; Ning Wang; Guangcan Liu (Mach. Learn. Sci. Technol., 2025)

Test-Time Scaling with Reflective Generative Model. - Zixiao Wang; Yuxin Wang; Xiaorui Wang; Mengting Xing; Jie Gao; Jianjun Xu; Guangcan Liu; Chenhui Jin; Zhuo Wang; Shengzhuo Zhang; Hongtao Xie (CoRR, 2025)