Brief Bio

In recent years, Xinwang Liu has been working on clustering analysis intensively. Specifically, he has made significant innovative contributions on fusion mechanism of multi-view clustering, incomplete multi-view clustering and deep clustering analysis, etc. Based on his research works, he has published 76 papers in CCF-A ranked reputable journals and top-tier international conferences such as IEEE Trans. PAMI, IEEE Trans. KDE, ICML and NeurIPS in the recent five years. According to Google Scholar, his papers have received more than 9200 citations. He has also received the First-Grade Natural Science Award of Hunan Province twice. He is on the editorial board of《IEEE Trans. Neural Networks and Learning Systems》,《IEEE Trans. Cybernetics》, etc. He also serves/served as Area Chair or Senior PC member for CCF-A/B ranked international conferences for more than 20 times. He has been awarded the Natural Science Foundation of China for Excellent Youth in 2019, the Natural Science Foundation of China for Distinguished Young Scholar in 2023, and the Ministry of Science and Technology innovation 2030 “New Generation of Artificial Intelligence” Major Program for Young Scientists in 2020.

Please drop him a message if you also have interests with him by email: xinwangliu@nudt.edu.cn or 1022xinwang.liu@gmail.com.

Curriculum Vitae: [CV]

Google Scholar: [Google Scholar]

Representative Work

1. [TPAMI] Xinwang Liu: Hyperparameter-Free Localized Simple Multiple Kernel K-means with Global Optimum. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). (CCF Rank A) (Accepted in December 2022)
2. [TPAMI] Xinwang Liu: SimpleMKKM: Simple Multiple Kernel K-means. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). (CCF Rank A) (Accepted in August 2022) [PDF] [Code] [Supplement]
3. [TPAMI] Xinwang Liu: Incomplete Multiple Kernel Alignment Maximization for Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). (Accepted in Sep. 2021) (CCF Rank A) [PDF]
4. [TPAMI] Xinwang Liu, Miaomiao Li, Chang Tang, Jingyuan Xia, Jian Xiong, Li Liu, Marius Kloft, En Zhu: Efficient and Effective Regularized Incomplete Multi-view Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 43(8): 2634-2646 (2021) (CCF Rank A) [PDF] [Code]
5. [TPAMI] Xinwang Liu, Lei Wang, Xinzhong Zhu, Miaomiao Li, En Zhu, Tongliang Liu, Li Liu, Yong Dou, Jianping Yin: "Absent Multiple Kernel Learning Algorithms". IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 42(6): 1303-1316 (2020) (CCF Rank A) [PDF] [Code]
6. [TPAMI] Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Lei Wang, En Zhu, Tongliang Liu, Marius Kloft, Dinggang Shen, Jianping Yin, Wen Gao: "Multiple kernel k-means with incomplete kernels". IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 42(5): 1191-1204 (2020) (CCF Rank A) [PDF] [Code]
7. [TPAMI] Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Lei Wang, Chang Tang, Jianping Yin, Dinggang Shen, Huaimin Wang, Wen Gao: "Late Fusion Incomplete Multi-view Clustering". IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 41(10): 2410-2423 (2019) (CCF Rank A) [PDF] [Code]
8. [TPAMI] Chang Tang, Xinwang Liu, Xiao Zheng, Wanqing Li, Jian Xiong, Lizhe Wang, Albert Zomaya, Antonella Longo: Defusionnet: Defocus Blur Detection via Recurrently Fusing and Refining Multi-scale Deep Features. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). (Accepted in July 2020) (CCF Rank A) [PDF]
9. [TPAMI] Siqi Wang, Yijie Zeng, Guang Yu, Zhen Cheng, Xinwang Liu, Sihang Zhou, En Zhu, Marius Kloft, Jianping Yin, Qing Liao: E3Outlier: A Self-supervised Framework for Unsupervised Deep Outlier Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). (Accepted in July 2022) (CCF Rank A) [PDF]
10. [TPAMI] Haocong Rao, Siqi Wang, Xiping Hu, Mingkui Tan, Yi Guo, Jun Cheng, Bin Hu, Xinwang Liu: A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D Skeleton Based Person Re-Identification. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). (Accepted in June 2021) (CCF Rank A)
11. [TKDE] Xingchen Hu, Xinwang Liu, Witold Pedrycz, Qing Liao, Yinhua Shen, Yan Li and Siwei Wang: Multi-view Fuzzy Classification with Subspace Clustering and Information Granules. IEEE Transactions on Knowledge and Data Engineering (TKDE). (CCF Rank A) (Accepted in December 2022)
12. [TKDE] Chang Tang, Zhenglai Li, Jun Wang, Xinwang Liu, Wei Zhang, En Zhu: Unified One-step Multi-view Spectral Clustering. IEEE Transactions on Knowledge and Data Engineering (TKDE). (CCF Rank A) (Accepted in May 2022)
13. [TKDE] Tuanfei Zhu, Xinwang Liu, En Zhu: Oversampling with Reliably Expanding Minority Class Regions for Imbalanced Data Learning. IEEE Transactions on Knowledge and Data Engineering (TKDE). (Accepted in April 2022) (CCF Rank A) [PDF]
14. [TKDE] Xifeng Guo, Xinwang Liu, En Zhu, Xinzhong Zhu, Miaomiao Li, Xin Xu, Jianping Yin: Adaptive Self-paced Deep Clustering with Data Augmentation. IEEE Transactions on Knowledge and Data Engineering (TKDE). 32(9):1680-1693 (2020) (CCF Rank A) [PDF] [Code]
15. [TKDE] Chang Tang, Xinwang Liu, Miaomiao Li, Pichao Wang, Lizhe Wang: Feature Selective Projection with Low-Rank Embedding and Dual Laplacian Regularization. IEEE Transactions on Knowledge and Data Engineering (TKDE). 32(9):1747-1760 (2020) (CCF Rank A) [PDF]
16. [TKDE] Yawei Zhao, Kai Xu, Xinwang Liu, En Zhu, Xinzhong Zhu, Jianping Yin: Triangle Lasso for Simultaneous Clustering and Optimization in Graph Datasets. IEEE Transactions on Knowledge and Data Engineering (TKDE) 31(8): 1610-1623 (2019) (CCF Rank A) [PDF] [Bibtex]
17. [TKDE] Chang Tang, Xiao Zheng, Xinwang Liu, Jing Zhang, Jian Xiong, Lizhe Wang: Cross-view Locality Preserved Diversity and Consensus Learning for Multi-view Unsupervised Feature Selection. IEEE Transactions on Knowledge and Data Engineering (TKDE). (Accepted in Dec 2020) (CCF Rank A) [PDF]
18. [TKDE] Pei Zhang, Xinwang Liu, Sihang Zhou, Wentao Zhao, En Zhu, Zhiping Cai: Consensus One-step Multi-view Subspace Clustering. IEEE Transactions on Knowledge and Data Engineering (TKDE). (Accepted in Dec 2020) (CCF Rank A) [PDF] [Code]
19. [TKDE] Weixuan Liang, Sihang Zhou, Jian Xiong, Xinwang Liu, Siwei Wang, En Zhu, Zhiping Cai, 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) (CCF Rank A) [PDF] [Code]
20. [TKDE] Jiyuan Liu, Xinwang Liu, Jian Xiong, Qing Liao, Sihang Zhou, Siwei Wang, Yuexiang Yang: Optimal Neighborhood Multiple Kernel Clustering with Adaptive Local Kernels. IEEE Transactions on Knowledge and Data Engineering (TKDE). (Accepted in July 2020) (CCF Rank A) [PDF] [Code]
21. [TKDE] Yawei Zhao, En Zhu, Xinwang Liu, Chang Tang, Deke Guo, Jianping Yin: Simultaneous Clustering and Optimization for Evolving Datasets. IEEE Transactions on Knowledge and Data Engineering (TKDE) 33(1): 259-270 (2021) (CCF Rank A) [PDF]
22. [TIP] Zhenglai Li, Chang Tang, Xinwang Liu, Xiao Zheng, Wei Zhang, En Zhu: High-order Correlation Preserved Incomplete Multi-view Subspace Clustering. IEEE Transactions on Image Processing (TIP). (Accepted in Jan. 2022) (CCF Rank A)
23. [TIP] Siwei Wang, Xinwang Liu, Xinzhong Zhu, Pei Zhang, Yi Zhang, Feng Gao, En Zhu: Fast Parameter-free Multi-view Subspace Clustering with Consensus Anchor Guidance. IEEE Transactions on Image Processing (TIP). (Accepted in Nov. 2021) (CCF Rank A) [PDF]