Subspace Clustering by Exploiting a Low-Rank Representation with a Symmetric Constraint. - Jie Chen 065; Zhang Yi 001 (CoRR, 2014)

Symmetric low-rank representation for subspace clustering. - Jie Chen 065; Haixian Zhang; Zhang Yi 001 (CoRR, 2014)

Sparse representation for face recognition by discriminative low-rank matrix recovery. - Jie Chen 065; Zhang Yi 001 (J. Vis. Commun. Image Represent., 2014)

Symmetric low-rank representation for subspace clustering. - Jie Chen 065; Haixian Zhang; Hua Mao; Yongsheng Sang; Zhang Yi 001 (Neurocomputing, 2016)

Subspace clustering using a symmetric low-rank representation. - Jie Chen 065; Hua Mao; Yongsheng Sang; Zhang Yi 001 (Knowl. Based Syst., 2017)

Symmetric low-rank preserving projections for subspace learning. - Jie Chen 065; Hua Mao; Haixian Zhang; Zhang Yi 001 (Neurocomputing, 2018)

Efficient algorithms for collecting the statistics of large-scale IP address data. - Jie Chen 065; Hua Mao (CoRR, 2021)

Low-rank representation with adaptive dictionary learning for subspace clustering. - Jie Chen 065; Hua Mao; Zhu Wang 007; Xinpei Zhang (Knowl. Based Syst., 2021)

Multi-view representation learning for data stream clustering. - Jie Chen 065; Shengxiang Yang; Zhu Wang 007 (Inf. Sci., 2022)

Multiview Subspace Clustering Using Low-Rank Representation. - Jie Chen 065; Shengxiang Yang; Hua Mao; Conor Fahy (IEEE Trans. Cybern., 2022)

Deep Multiview Clustering by Contrasting Cluster Assignments. - Jie Chen 065; Hua Mao; Wai Lok Woo; Xi Peng 001 (ICCV, 2023)

Cross-View Graph Consistency Learning for Invariant Graph Representations. - Jie Chen 065; Zhiming Li; Hua Mao; Wai Lok Woo; Xi Peng 001 (CoRR, 2023)

Multiview Clustering by Consensus Spectral Rotation Fusion. - Jie Chen 065; Hua Mao; Dezhong Peng; Changqing Zhang; Xi Peng 001 (IEEE Trans. Image Process., 2023)

Efficient Sparse Representation for Learning With High-Dimensional Data. - Jie Chen 065; Shengxiang Yang; Zhu Wang 007; Hua Mao (IEEE Trans. Neural Networks Learn. Syst., 2023)

Two-Stage Sparse Representation Clustering for Dynamic Data Streams. - Jie Chen 065; Zhu Wang 007; Shengxiang Yang; Hua Mao (IEEE Trans. Cybern., 2023)

Low-Rank Tensor Learning for Incomplete Multiview Clustering. - Jie Chen 065; Zhu Wang 007; Hua Mao; Xi Peng 001 (IEEE Trans. Knowl. Data Eng., 2023)

Hierarchical Sparse Representation Clustering for High-Dimensional Data Streams. - Jie Chen 065; Hua Mao; Yuanbiao Gou; Xi Peng 001 (CoRR, 2024)

Self-Supervised Conditional Distribution Learning on Graphs. - Jie Chen 065; Hua Mao; Yuanbiao Gou; Zhu Wang 007; Xi Peng 001 (CoRR, 2024)

Spectral Embedding Fusion for Incomplete Multiview Clustering. - Jie Chen 065; Yingke Chen; Zhu Wang 007; Haixian Zhang; Xi Peng 001 (IEEE Trans. Image Process., 2024)

Augmented Sparse Representation for Incomplete Multiview Clustering. - Jie Chen 065; Shengxiang Yang; Xi Peng 001; Dezhong Peng; Zhu Wang 007 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Cross-View Graph Consistency Learning for Invariant Graph Representations. - Jie Chen 065; Hua Mao; Wai Lok Woo; Chuanbin Liu 004; Xi Peng 001 (AAAI, 2025)

Online Sparse Representation Clustering for Evolving Data Streams. - Jie Chen 065; Shengxiang Yang; Conor Fahy; Zhu Wang 007; Yinan Guo 001; Yingke Chen (IEEE Trans. Neural Networks Learn. Syst., 2025)

One-Step Adaptive Graph Learning for Incomplete Multiview Subspace Clustering. - Jie Chen 065; Hua Mao; Wai Lok Woo; Chuanbin Liu 003; Zhu Wang 007; Xi Peng 001 (IEEE Trans. Knowl. Data Eng., 2025)