Selected Journal Papers:

1. [TNNLS' 5] Sihang Zhou, Qiyuan Ou, Xinwang Liu, Siq Wang, Luyan Liu, Siwei Wang, En Zhu, Jianping Yin, and Xin Xu: Multiple Kernel Clustering with Compressed Subspace Alignment. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). (Accepted in June 2021) [PDF]
2. [TMM' 5] Mengjing Sun, Siwei Wang, Pei Zhang, Xinwang Liu, Xifeng Guo, Sihang Zhou and En Zhu: Projective Multiple Kernel Subspace Clustering. IEEE Transactions on Multimedia (TMM). (Accepted in May 2021) [PDF] [Code]
3. [TKDE' 7] Pei Zhang, Xinwang Liu, Sihang Zhou, Wentao Zhao, En Zhu and Zhiping Cai: Consensus One-step Multi-view Subspace Clustering. IEEE Transactions on Knowledge and Data Engineering (TKDE). (Accepted in Dec 2020) [PDF] [Code]
4. [TKDE' 6] Weixuan Liang, Sihang Zhou, Jian Xiong, Xinwang Liu, Siwei Wang, En Zhu, Zhiping Cai, and Xin Xu: Multi-View Spectral Clustering with High-Order Optimal Neighborhood Laplacian Matrix. IEEE Transactions on Knowledge and Data Engineering (TKDE). (Accepted in Sep 2020) [PDF] [Code]
5. [TKDE' 5] Jiyuan Liu, Xinwang Liu, Jian Xiong, Qing Liao, Sihang Zhou, Siwei Wang and Yuexiang Yang: Optimal Neighborhood Multiple Kernel Clustering with Adaptive Local Kernels. IEEE Transactions on Knowledge and Data Engineering (TKDE). (Accepted in July 2020) [PDF] [Code]
6. [TNNLS' 2] Sihang Zhou, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Changwang Zhang, and Jianping Yin: Multiple Kernel Clustering with Neighbor-Kernel Subspace Segmentation. IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 31(4): 1351-1362, 2020 (CCF Rank B) [PDF] [Code]