Liu, Guangcan - AI Profile

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Professor

School of Information and Control, Nanjing University of Information Science and Technology

Experience

Education

Bio

His research interests touch on the areas of pattern recognition, computer vision and signal processing. He is the recipient of the National Excellent Youth Fund 2016 and Clarivate Analytics Highly Cited Researcher 2017.

Research Interests

Papers83 papers

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Twin-Incoherent Self-Expressive Locality-Adaptive Latent Dictionary Pair Learning for Classification

Zhao Zhang, Yulin Sun,Yang Wang,Zheng Zhang, Haijun Zhang,Guangcan Liu,Meng Wang

IEEE Trans. Neural Networks Learn. Syst., no. 3 (2021): 947-961

Cited by8WOSEIBibtex

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

Zhao Zhang,Yan Zhang,Guangcan Liu,Jinhui Tang,Shuicheng Yan,Meng Wang

IEEE Transactions on Knowledge and Data Engineering, no. 5 (2020): 952-970

Cited by41EIWOSBibtex

Selecting Optimal Completion to Partial Matrix via Self-Validation

Xin Wang,Guangcan Liu, Wayne Zhang,Qingshan Liu

IEEE Signal Processing Letters, (2020): 1265-1269

Bibtex

Selecting Optimal Completion to Partial Matrix via Self Validation

Xin Wang,Guangcan Liu, Wayne Zhang, Qingshan Liu

IEEE Signal Processing Letters, (2020): 1265-1269

Bibtex

Deep Latent Low-Rank Fusion Network for Progressive Subspace Discovery

Zhao Zhang,Jiahuan Ren,Zheng Zhang,Guangcan Liu

IJCAI 2020, pp.2762-2768, (2020)

EIBibtex

Maximum-and-Concatenation Networks

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

ICML 2020, (2020)

Bibtex

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

Zhao Zhang,Yan Zhang,Guangcan Liu,Jinhui Tang,Shuicheng Yan,Meng Wang

IEEE Transactions on Knowledge and Data Engineering, pp.1-1, (2020)

Cited by37EIBibtex

Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space

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

IEEE Trans. Image Processing, (2020): 3941-3956

Cited by17WOSEIBibtex

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

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

IEEE Transactions on Big Data, (2019): 1-1

Cited by21EIWOSBibtex

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

Zhao Zhang, Yulin Sun,Zheng Zhang,Yang Wang,Guangcan Liu,Meng Wang

ICDM, pp.836-845, (2019)

Cited by11EIBibtex

Recovery of Future Data via Convolution Nuclear Norm Minimization

Liu Guangcan, Zhang Wayne

Bibtex

Differentiable Linearized ADMM

Xingyu Xie, Jianlong Wu,Guangcan Liu, Zhisheng Zhong,Zhouchen Lin

pp.6902-6911 (2019)

EIBibtex

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

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

IEEE Transactions on Knowledge and Data Engineering, pp.1-1, (2019)

Cited by13Bibtex

Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning

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

IJCAI, (2019): 4376-4382

Cited by18EIBibtex

Robust auto-weighted projective low-rank and sparse recovery for visual representation

Lei Wang,Bangjun Wang,Zhao Zhang,Qiaolin Ye,Liyong Fu,Guangcan Liu,Meng Wang

Neural Networks, (2019): 201-215

Cited by15WOSEIBibtex

Differentiable Linearized ADMM

Xingyu Xie,Jianlong Wu, Zhisheng Zhong,Guangcan Liu,Zhouchen Lin

CoRR, (2019)

Cited by16EIBibtex

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

Zhao Zhang,Yan Zhang,Sheng Li,Guangcan Liu,Meng Wang,Shuicheng Yan

international conference on acoustics speech and signal processing, pp.2092-2096, (2019)

Cited by11EIBibtex

Robust Low-rank subspace segmentation with finite mixture noise

Xianglin Guo, Xingyu Xie,Guangcan Liu,Mingqiang Wei,Jun Wang

Pattern Recognition, (2019): 55-67

Cited by3EIBibtex

Matrix Completion with Deterministic Sampling: Theories and Methods

Guangcan Liu,Qingshan Liu,Xiao-Tong Yuan,Meng Wang

IEEE Trans. Pattern Anal. Mach. Intell., no. 2 (2019): 549-566

Cited by8WOSEIBibtex

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

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

ECAI, pp.1285-1292, (2019)

Cited by5EIBibtex

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Liu, Guangcan(刘光灿)Professor

Papers83 papers