Xinwang Liu

Professor
Doctoral Supervisor

GET IN TOUCH
Xinwang Liu Xinwang Liu

Selected Journal Papers:

  1. [TPAMI]Xinwang Liu: Incomplete Multiple Kernel Alignment Maximization for Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). (Accepted in Sep. 2021) [PDF]
  2. [TNNLS] Siwei Wang, Xinwang Liu, Li Liu, Sihang Zhou, and En Zhu: Late Fusion Multiple Kernel Clustering with Proxy Graph Refinement. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). (Accepted in Sep. 2021) [PDF][Code]
  3. [TKDE] Heli Sun, Ning Wang, Jingyu Jia, Jianbin Huang, Hui Xiong, Liang He, Xinwang Liu, Shan Zhang, Shaojie Qiao, and Jizhong Zhao: Platform-Oriented Event Time Allocation. IEEE Transactions on Knowledge and Data Engineering (TKDE). (Accepted in August 2021)
  4. [TNNLS] 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]
  5. [TPAMI] Haocong Rao, Siqi Wang, Xiping Hu, Mingkui Tan, Yi Guo, Jun Cheng, Bin Hu, and 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)
  6. [TMM] 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]
  7. [TNNLS] Jiyuan Liu, Xinwang Liu, Yuexiang Yang, Xifeng Guo, Marius Kloft, and Liangzhong He: Multi-view Subspace Clustering via Co-training Robust Data Representation. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). (Accepted in Mar 2021) [PDF] [Code]
  8. [TMM] Zhenglai Li, Chang Tang, Xinwang Liu, Xiao Zheng, Wei Zhang, and En Zhu: Consensus Graph Learning for Multi-view Clustering. IEEE Transactions on Multimedia (TMM). (Accepted in Mar 2021) [PDF]
  9. [TKDE] Chang Tang, Xiao Zheng, Xinwang Liu, Jing Zhang, Jian Xiong, and 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) [PDF]
  10. [TKDE] 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]
  11. [TKDE] 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]
  12. [TKDE] 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]
  13. [TPAMI] Chang Tang, Xinwang Liu, Xiao Zheng, Wanqing Li, Jian Xiong, Lizhe Wang, Albert Zomaya and 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) [PDF]
  14. [TPAMI] Xinwang Liu, Miaomiao Li, Chang Tang, Jingyuan Xia, Jian Xiong, Li Liu, Marius Kloft and En Zhu: Efficient and Effective Incomplete Multi-view Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). (Accepted in Feb 14th, 2020) [PDF] [Code]
  15. [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) [PDF] [Code]
  16. [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) [PDF] [Code]
  17. [TPAMI] Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Lei Wang, Chang Tang, Jianping Yin, Dinggang Shen, Huaimin Wang and Wen Gao: "Late Fusion Incomplete Multi-view Clustering". IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 41(10): 2410-2423 (2019) [PDF] [Code]
  18. [TNNLS] Xinwang Liu, Lei Wang, Jian Zhang, Jianping Yin, Huan Liu: Global and Local Structure Preservation for Feature Selection. IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 25(6): 1083-1095 (2014) (CCF Rank B) [PDF] [Code]
  19. [TYCB] Xinwang Liu, Jianping Yin, Lei Wang, Lingqiao Liu, Jun Liu, Chenping Hou, Jian Zhang: An Adaptive Approach to Learning Optimal Neighborhood Kernels. IEEE Transactions on Cybernetics (TYCB). 43(1): 371-384 (2013) (CCF Rank B) [PDF]
  20. [TYCB] Xinwang Liu, Lei Wang, Jianping Yin, En Zhu, Jian Zhang: An Efficient Approach to Integrating Radius Information into Multiple Kernel Learning. IEEE Transactions on Cybernetics (TYCB). 43(2): 557-569 (2013) (CCF Rank B) [PDF] [Code]
  21. [TKDE] Xifeng Guo, Xinwang Liu, En Zhu, Xinzhong Zhu, Miaomiao Li, Xin Xu, and 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]
  22. [TKDE] Chang Tang, Xinwang Liu, Miaomiao Li, Pichao Wang, and 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]
  23. [TKDE] Yawei Zhao, En Zhu, Xinwang Liu, Deke Guo, Xinzhong Zhu, and Jianping Yin: Simultaneous Clustering and Optimization for Evolving Datasets. IEEE Transactions on Knowledge and Data Engineering (TKDE). (Accepted in June 2019) [PDF]
  24. [TKDE] Yawei Zhao, Kai Xu, Xinwang Liu, En Zhu, Xinzhong Zhu, and 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) [PDF] [Bibtex]
  25. [IJCV] Li Liu, Wanli Ouyang, Xiaogang Wang, Paul W. Fieguth, Jie Chen, Xinwang Liu, and Matti Pietikäinen: Deep Learning for Generic Object Detection: A Survey. International Journal of Computer Vision (IJCV) 128(2): 261-318 (2020) (CCF Rank A) [PDF]
  26. [TNNLS] 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]
  27. [TNNLS] Peng Zhou, Liang Du, Xinwang Liu, Yi-Dong Shen, Mingyu Fan, and Xuejun Li: Self-paced Clustering Ensemble. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). (CCF Rank B, Accepted in March 29th, 2020) [PDF]
  28. [TMM] Chang Tang, Xinwang Liu, An Shan and Pichao Wang: BNet: Defocus Blur Detection via Bi-directional Channel Attention Residual Refining Network. IEEE Transactions on Multimedia (TMM). (CCF Rank B, Accepted in March 16th, 2020)
  29. [TCYB] Jie Wu, Wenzhang Zhuge, Xinwang Liu, Li Liu and Chenping Hou: Fragmentary Multi-Instance Classification. IEEE Transactions on Cybernetics (TCYB). (CCF Rank B, Accepted in Sep. 2019) [PDF]
  30. [TMM] Chang Tang, Xinzhong Zhu, Xinwang Liu, Miaomiao Li, Pichao Wang, Changqing Zhang and Lizhe Wang: Learning a Joint Affinity Graph for Multi-view Subspace Clustering. IEEE Transactions on Multimedia (TMM) 21(7): 1724-1736 (2019) (CCF Rank B) [PDF]
  31. [TMM] Chang Tang, Xinwang Liu, Pichao Wang, Changqing Zhang, Miaomiao Li, and Lizhe Wang: Adaptive Hypergraph Embedded Semi-supervised Multilabel Image Annotation. IEEE Transactions on Multimedia (TMM) 21(11): 2837-2849 (2019) (CCF Rank B) [PDF]
  32. [TIP] Lei Luo, Chunhua Shen, Xinwang Liu, and Chunyuan Zhang: A Computational Model of the Short-Cut Rule for 2D Shape Decomposition. IEEE Transactions on Image Processing (TIP) 24(1): 273-283 (2015) (CCF Rank A) [PDF]
  33. [TIFS] Jianfeng Lu, Yun Xin, Zhao Zhang, Xinwang Liu, and Kenli Li: Game-Theoretic Design of Optimal Two-Sided Rating Protocols for Service Exchange Dilemma in Crowdsourcing. IEEE Transactions Information Forensics and Security (TIFS) 13(11): 2801-2815 (2018). (CCF Rank A) [PDF]