Xinwang LIU (刘新旺)

National University of Defense Technology, Research Assitant
Research Interests:Kernel MethodsFeature SelectionSpectral Clustering

Welcome to visit my homepage. My research interests include kernel learning, feature selection, spectral clustering and latent variable learning.

1. One paper has been accepted by IEEE TPAMI (Feb 13th 2020)

  1. Late Fusion Incomplete Multi-view Clustering
    Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Lei Wang, Chang Tang, Jianping Yin, Dinggang Shen, Huaimin Wang, and Wen Gao. IEEE TRANS. PATTERN ANALYSIS AND MACHINE INTELLIGENCE: 2018 Abstract  Download
  2. Absent Multiple Kernel Learning Algorithms
    Xinwang Liu, Lei Wang, Xinzhong Zhu, Miaomiao Li, En Zhu, Tongliang Liu, Li Liu, Yong Dou, Jianping Yin. IEEE Transactions on Pattern Analysis and Machine Intelligence: 2019 Abstract  Download
  3. Multiple Kernel k-means with Incomplete Kernels
    Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Lei Wang, En Zhu, Tongliang Liu, Marius Kloft, Dinggang Shen, Jianping Yin and Wen Gao. IEEE TRANS. PATTERN ANALYSIS AND MACHINE INTELLIGENCE: 2019 Abstract  Download
  4. Global and Local Structure Preservation for Feature Selection
    Xinwang Liu and Lei Wang and Jian Zhang and Jianping Yin and Huan Liu. IEEE Trans. Neural Netw. Learning Syst.: 2014 ,25(6) ,1083-1095 Download
  5. Adaptive Self-paced Deep Clustering with Data Augmentation
    Xifeng Guo, Xinwang Liu, En Zhu, Xinzhong Zhu, Miaomiao Li, Xin Xu, and Jianping Yin. IEEE Transactions on Knowledge and Data Engineering.: 2019
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Updated on:2020-02-17 19:35      Total Visits:3630

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