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Optimization Induced Equilibrium Networks


Jun 07, 2021
Xingyu Xie, Qiuhao Wang, Zenan Ling, Xia Li, Yisen Wang, Guangcan Liu, Zhouchen Lin


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Time Series Forecasting via Learning Convolutionally Low-Rank Models


Apr 23, 2021
Guangcan Liu


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Maximum-and-Concatenation Networks


Jul 09, 2020
Xingyu Xie, Hao Kong, Jianlong Wu, Wayne Zhang, Guangcan Liu, Zhouchen Lin

* Accepted by ICML2020 

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Multilayer Collaborative Low-Rank Coding Network for Robust Deep Subspace Discovery


Jan 15, 2020
Xianzhen Li, Zhao Zhang, Yang Wang, Guangcan Liu, Shuicheng Yan, Meng Wang

* Accepted by the 24th European Conference on Artificial Intelligence (ECAI 2020) 

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Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space


Dec 26, 2019
Jiahuan Ren, Zhao Zhang, Sheng Li, Yang Wang, Guangcan Liu, Shuicheng Yan, Meng Wang

* Accepted by IEEE TIP 

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Recovery of Future Data via Convolution Nuclear Norm Minimization


Sep 06, 2019
Guangcan Liu, Wayne Zhang


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Flexible Auto-weighted Local-coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering


Sep 02, 2019
Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Dan Zeng, Shuicheng Yan, Meng Wang

* Accepted by IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE) 

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Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification


Aug 21, 2019
Zhao Zhang, Yulin Sun, Zheng Zhang, Yang Wang, Guangcan Liu, Meng Wang

* Accepted by ICDM 2019 as a regular paper 

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Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification


May 31, 2019
Zhao Zhang, Lei Jia, Mingbo Zhao, Guangcan Liu, Meng Wang, Shuicheng Yan

* Accepted by IEEE TBD 

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Joint Label Prediction based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation


May 25, 2019
Zhao Zhang, Yan Zhang, Guangcan Liu, Jinhui Tang, Shuicheng Yan, Meng Wang

* DOI: 10.1109/TKDE.2019.2893956 
* Accepted at IEEE TKDE 

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Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning


May 25, 2019
Zhao Zhang, Weiming Jiang, Zheng Zhang, Sheng Li, Guangcan Liu, Jie Qin

* Accepted at the 28th International Joint Conference on Artificial Intelligence(IJCAI 2019) 

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Robust Unsupervised Flexible Auto-weighted Local-Coordinate Concept Factorization for Image Clustering


May 25, 2019
Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Meng Wang, Shuicheng Yan

* Accepted at the 44th IEEE International Conference on Acoustics, Speech, and Signal Processing(ICASSP 2019) 

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Differentiable Linearized ADMM


May 15, 2019
Xingyu Xie, Jianlong Wu, Zhisheng Zhong, Guangcan Liu, Zhouchen Lin

* Accepted by ICML2019 

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Matrix Recovery with Implicitly Low-Rank Data


Nov 09, 2018
Xingyu Xie, Jianlong Wu, Guangcan Liu, Jun Wang


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Fast and Robust Subspace Clustering Using Random Projections


Aug 27, 2018
Guangcan Liu, Yubao Sun, Zhao Zhang, Qingshan Liu, Meng Wang, Konghai Xiong


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A Latent Clothing Attribute Approach for Human Pose Estimation


Nov 16, 2014
Weipeng Zhang, Jie Shen, Guangcan Liu, Yong Yu

* accepted to ACCV 2014, preceding work http://arxiv.org/abs/1404.4923 

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Unified Structured Learning for Simultaneous Human Pose Estimation and Garment Attribute Classification


Sep 22, 2014
Jie Shen, Guangcan Liu, Jia Chen, Yuqiang Fang, Jianbin Xie, Yong Yu, Shuicheng Yan

* Accepted to IEEE Trans. on Image Processing 

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Advancing Matrix Completion by Modeling Extra Structures beyond Low-Rankness


Jul 16, 2014
Guangcan Liu, Ping Li

* arXiv admin note: text overlap with arXiv:1404.4032 

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Recovery of Coherent Data via Low-Rank Dictionary Pursuit


Jul 16, 2014
Guangcan Liu, Ping Li


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Blind Image Deblurring by Spectral Properties of Convolution Operators


Apr 22, 2014
Guangcan Liu, Shiyu Chang, Yi Ma


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Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation


Mar 30, 2014
Guangcan Liu, Huan Xu, Shuicheng Yan

* Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2012 

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Robust Recovery of Subspace Structures by Low-Rank Representation


May 06, 2012
Guangcan Liu, Zhouchen Lin, Shuicheng Yan, Ju Sun, Yong Yu, Yi Ma

* IEEE Trans. Pattern Analysis and Machine Intelligence, 35(2013) 171-184 
* IEEE Trans. Pattern Analysis and Machine Intelligence 

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Closed-Form Solutions to A Category of Nuclear Norm Minimization Problems


Nov 23, 2010
Guangcan Liu, Ju Sun, Shuicheng Yan

* NIPS Workshop on Low-Rank Methods for Large-Scale Machine Learning, 2010 

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