Publications

近5年内发表的代表性论著：(5篇)

1. Xinwang Liu: Hyperparameter-Free Localized Simple Multiple Kernel K-means with Global Optimum, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.12, 1-11. [PDF]
2. Xinwang Liu: SimpleMKKM: Simple Multiple Kernel K-means, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.8, 1-13. [PDF]
3. Xinwang Liu: Incomplete Multiple Kernel Alignment Maximization for Clustering, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.10, 1-13. [PDF]
4. 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), 2021, 43(8): 2634-2646. [PDF]
5. Xinwang Liu*#, Li Liu, Qing Liao, Chang Tang, Siwei Wang, Wenxuan Tu, Jiyuan Liu, Yi Zhang, En Zhu: One Pass Late Fusion Multi-view Clustering, International Conference on Machine Learning (ICML), 2021-7-17 to 2021-7-23. [PDF]

已发表的其余论著：(10篇)

1. 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), 2019, 41(10): 2410-2423. [PDF]
2. 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), 2020, 42(5): 1191-1204. [PDF]
3. 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), 2020, 42(6): 1303-1316. [PDF]
4. Jiyuan Liu, Xinwang Liu*, Yuexiang Yang, Qing Liao, Yuanqing Xia: Contrastive Multi-view Kernel Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. [PDF]
5. 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 Discriminative Multi-Scale Deep Features, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022,44(2), 955-968. [PDF]
6. 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), 2022,45(3), 2952-2969. [PDF]
7. 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), 2020,32(9), 1680-1693. [PDF]
8. 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, Advances in NeuralInformation Processing Systems (NeurIPS), Vancouver, Canada, 2019-12-8 to 2019-12-14. [PDF]
9. Siwei Wang, Xinwang Liu*, Suyuan Liu, Jiaqi Jin, Wenxuan Tu, Xinzhong Zhu, En Zhu: Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences, Advances in NeuralInformation Processing Systems (NeurIPS), New Orleans, USA, 2022-11-28 to 2022-12-04. [PDF]
10. Weixuan Liang, Xinwang Liu*, Yong Liu, Sihang Zhou, Jun-Jie Huang, Siwei Wang, Jiyuan Liu, Yi Zhang, En Zhu: Stability and Generalization of Kernel Clustering: from Single Kernel to Multiple Kernel, Advances in NeuralInformation Processing Systems (NeurIPS), New Orleans, USA, 2022-11-28 to 2022-12-04. [PDF]