Xinwang Liu

Professor
Doctoral Supervisor

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Xinwang Liu Xinwang Liu

Selected Conference Papers:

  1. [ICCV]Jiyuan Liu, Xinwang Liu, Yuexiang Yang, Li Liu, Siqi Wang, Weixuan Liang, Jiangyong Shi: One-pass Multi-view Clustering for Large-scale Data. ICCV 2021. (CCF Rank A)[PDF][Code]
  2. [ICCV] Xinwang Liu, Sihang Zhou, Li Liu, Chang Tang, Siwei Wang, Jiyuan Liu, Yi Zhang: Localized Simple Multiple Kernel K-means. ICCV 2021. (CCF Rank A)[PDF][Code]
  3. [ACM MM]Yi Zhang, Xinwang Liu, Siwei Wang, Jiyuan Liu, Sisi Dai, En Zhu: One-Stage Incomplete Multi-view Clustering via Late Fusion. ACM MM 2021. (CCF Rank A)[PDF][Code]
  4. [ACM MM]Mengjing Sun, Pei Zhang, Siwei Wang, Sihang Zhou, Wenxuan Tu, Xinwang Liu, En Zhu, Changjian Wang: Scalable Multi-view Subspace Clustering with Unified Anchors. ACM MM 2021. (CCF Rank A)[PDF][Code]
  5. [ACM MM]Chen Zhang, Siwei Wang, Jiyuan Liu, Sihang Zhou, Pei Zhang, Xinwang Liu, En Zhu, Changwang Zhang: Multi-view Clustering via Deep Matrix Factorization and Partition Alignment. ACM MM 2021. (CCF Rank A)[PDF][Code]
  6. [ACM MM] Jiyuan Liu, Xinwang Liu, Yi Zhang, Pei Zhang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Weixuan Liang, Siqi Wang and Yuexiang Yang: Self-representation Subspace Clustering for Incomplete Multi-view Data. ACM MM 2021. (CCF Rank A)[PDF][Code]
  7. [ICML] Xinwang Liu, Li Liu, Qing Liao, Chang Tang, Siwei Wang, Wenxuan Tu, Jiyuan Liu, Yi Zhang and En Zhu: One Pass Late Fusion Multi-view Clustering. ICML 2021. (CCF Rank A)[PDF] [Code]
  8. [IJCAI] Chang Tang, Xinwang Liu, En Zhu, Lizhe Wang and Albert Zomaya: Hyperspectral Band Selection via Spatial-Spectral Weighted Region-wise Multiple Graph Fusion-Based Spectral Clustering. IJCAI 2021. (CCF Rank A)[PDF]
  9. [AAAI] Jiyuan Liu, Xinwang Liu, Yuexiang Yang, Siwei Wang, Sihang Zhou: Hierarchical Multiple Kernel Clustering. AAAI 2021. (CCF Rank A, Accepted in Dec. 2. 2020)[PDF] [Code]
  10. [AAAI] Wenxuan Tu, Sihang Zhou, Xinwang Liu, Xifeng Guo, Zhiping Cai, En Zhu, and Jieren Cheng: Deep Fusion Clustering Network. AAAI 2021. (CCF Rank A, Accepted in Dec. 2. 2020)[PDF] [Code]
  11. [IJCAI] Jinglin Xu, Xiangsen Zhang, Wenbin Li, Xinwang Liu, and Junwei Han: Joint Multi-view 2D Convolutional Neural Networks for 3D Object Classification. IJCAI 2020. (CCF Rank A)[PDF]
  12. [NeurIPS] Siqi Wang, Yijie Zeng, Xinwang Liu, En Zhu, Jianping Yin, Chuanfu Xu, and Marius Kloft: Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network. NeurIPS 2019: 5960-5973 (CCF Rank A) [PDF] [Code]
  13. [AAAI] Sihang Zhou, Xinwang Liu, Jiyuan Liu, Xifeng Guo, Yawei Zhao, En Zhu, Yongping Zhai, Jianping Yin and Wen Gao: Multi-View Spectral Clustering with Optimal Neighborhood Laplacian Matrix. AAAI 2020. (CCF Rank A, Accepted Nov. 2019) [PDF] [Code]
  14. [AAAI] Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Kun Sun, Pichao Wang, Lizhe Wang and Albert Zomaya: MRF: Defocus Blur Detection via Recurrently Refining Multi-scale Residual Features. AAAI 2020. (CCF Rank A, Accepted Nov. 2019)
  15. [AAAI] Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Zhigang Luo, Wen Gao: CGD: Multi-view Clustering via Cross-view Graph Diffusion. AAAI 2020. (CCF Rank A, Accepted Nov. 2019)
  16. [AAAI] Li Cheng, Yijie Wang, Xinwang Liu and Bin Li: Outlier Detection Ensemble with Embedded Feature Selection. AAAI 2020. (CCF Rank A, Accepted Nov. 2019) [PDF]
  17. [AAAI] Jinglin Xu, Wenbin Li, Xinwang Liu, Dingwen Zhang, Ji Liu, Junwei Han: Embedding Deep Interaction Information for Multi-view Categorization. AAAI 2020. (CCF Rank A, Accepted Nov. 2019)
  18. [AAAI] Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Chang Tang, En Zhu, Jianping Yin, Wen Gao: Efficient and Effective Incomplete Multi-view Clustering. AAAI 2019.(CCF Rank A) [PDF]
  19. [AAAI] Chang Tang, Xinwang Liu, Xinzhong Zhu, Lizhe Wang: Cross-view Local Structure Preserved Diversity and Consensus Learning for Multi-view Unsupervised Feature Selection. AAAI 2019.(CCF Rank A) [PDF]
  20. [AAAI] Siqi Wang, En Zhu, Xiping Hu, Xinwang Liu, Qiang Liu, Jianping Yin, Fei Wang: Robustness Can Be Cheap: A Highly Efficient Approach to Discover Outliers under High Outlier Ratios. AAAI 2019.(CCF Rank A) [PDF]
  21. [CVPR] Chang Tang, Xinzhong Zhu, Xinwang Liu, Lizhe Wang, Albert Zomaya: DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-scale Deep Features. CVPR 2019. (CCF Rank A) [PDF]
  22. [IJCAI] Xifeng Guo, Xinwang Liu, En Zhu and Jianping Yin: Affine Equivariant Autoencoder. IJCAI 2019.(CCF Rank A, Accepted May 2019) [PDF]
  23. [IJCAI] Siwei Wang, Xinwang Liu, Chang Tang, Jiyuan Liu, En Zhu, Jianping Yin, Jiangtao Hu and Jingyuan Xia: Multi-view Clustering via Late Fusion Alignment Maximization. IJCAI 2019. (CCF Rank A, Accepted May 2019) [PDF] [Code]
  24. [IJCAI] Wenzhang Zhuge, Chenping Hou, Xinwang Liu, Hong Tao and Dongyun Yi: Simultaneous Representation Learning and Clustering for Incomplete Multi-view Data. IJCAI 2019. (CCF Rank A, Accepted May 2019) [PDF]
  25. [IJCAI] Xinzhong Zhu, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Zhiping Cai, Jianping Yin, Wen Gao: Localized Incomplete Multiple Kernel k-means. IJCAI 2018 3271-3277. (CCF Rank A) [PDF]
  26. [IJCAI] Changqing Zhang, Yeqinq Liu, Yue Liu, Qinghua Hu, Xinwang Liu, Pengfei Zhu: FISH-MML: Fisher-HSIC Multi-View Metric Learning. IJCAI 2018: 3054-3060. (CCF Rank A) [PDF]
  27. [AAAI] Pichao Wang, Wanqing Li, Jun Wan, Philip Ogunbona, and Xinwang Liu: Cooperative Training of Deep Aggregation Networks for RGB-D Action Recognition. AAAI 2018. (CCF Rank A) [PDF]
  28. [AAAI] Changqing Zhang, Ziwei Yu, Qinghua Hu, Pengfei Zhu, Xiaobo Wang, and Xinwang Liu: Latent Semantic Aware Multi-view Multi-label Classification. AAAI 2018. (CCF Rank A) [PDF]
  29. [AAAI] Hong Tao, Chenping Hou, Xinwang Liu, Dongyun Yi and Jubo Zhu: Reliable Multi-View Clustering. AAAI 2018. (CCF Rank A) [PDF]
  30. [AAAI] Xinwang Liu, Miaomiao Li, Lei Wang, Yong Dou, Jianping Yin and En Zhu: Multiple Kernel k-means with Incomplete Kernels. AAAI 2017. (CCF Rank A) [PDF]
  31. [AAAI] Xinwang Liu, Sihang Zhou, Yueqing Wang, Yong Dou, Jianping Yin and En Zhu: Optimal Neighborhood Kernel Clustering with Multiple Kernels. AAAI 2017. (CCF Rank A) [PDF] [Code]
  32. [IJCAI] Yueqing Wang, Xinwang Liu, Yong Dou: Multiple Kernel Clustering Framework with Improved Kernels. IJCAI 2017. (CCF Rank A) [PDF]
  33. [IJCAI] Yueqing Wang, Xinwang Liu, Yong Dou: Approximate Large-scale Multiple Kernel k-means using Deep Neuron Network. IJCAI 2017. (CCF Rank A) [PDF]
  34. [IJCAI] Xifeng Guo, Long Gao, Xinwang Liu and Jianping Yin: Improved Deep Embedded Clustering with Local Structure Preservation. IJCAI 2017. (CCF Rank A) [PDF] [Code]
  35. [IJCAI] Miaomiao Li, Xinwang Liu, Lei Wang, Yong Dou and Jianping Yin: Multi-view Clustering via Maximizing Local Kernel Alignment. IJCAI 2016: (1704-1710), July 9-16, 2016, New York, USA (CCF Rank A)
  36. [AAAI] Xinwang Liu, Yong Dou, Jianping Yin, Lei Wang, En Zhu: Multiple Kernel k-means Clustering with Matrix-induced Regularization. AAAI 2016: (1888-1894), February 12-17, 2016, Phoenix, Arizona, USA (CCF Rank A) [PDF][Code]
  37. [AAAI] Xinwang Liu, Lei Wang, Jianping Yin, Yong Dou, Jian Zhang: Absent Multiple Kernel Learning. AAAI 2015: (2807-2813), January 25-30, 2015, Austin, Texas, USA (CCF Rank A) [PDF]
  38. [AAAI] Xinwang Liu, Lei Wang, Jian Zhang, Jianping Yin: Sample-Adaptive Multiple Kernel Learning. AAAI 2014: (1975-1981), July 27-31, 2014, Qu´ebec City, Qu´ebec, Canada (CCF Rank A) [PDF]
  39. [ICCV] Lingqiao Liu, Lei Wang, Xinwang Liu: In defense of soft-assignment coding. ICCV 2011: (2486-2493), November 6-13, 2011, Barcelona, Spain. (CCF Rank A) [PDF]
  40. [ECCV] Melih Engin, Lei Wang, Luping Zhou, Xinwang Liu: DeepKSPD: Learning Kernel-Matrix-Based SPD Representation For Fine-Grained Image Recognition. ECCV 2018: 629645. (CCF Rank B) [PDF]