1. Optimal Neighborhood Kernel Clustering with Multiple Kernels
    Xinwang Liu; Sihang Zhou; Yueqing Wang; Miaomiao Li; Yong Dou; En Zhu; Jinping Yin. AAAI2017: Nov/2016 Download
  2. Multiple Kernel k-means with Incomplete Kernels
    Xinwang Liu; Miaomiao Li; Lei Wang; Yong Dou; Jinping Yin; En Zhu. AAAI2017: Nov/2016 Download
  3. Multiple Kernel Clustering with Local Kernel Alignment Maximization
    Miaomiao Li, Xinwang Liu, Lei Wang, Yong Dou, Jianping Yin, En Zhu. IJCAI-2016: 2016 Download
  4. Multiple Kernel k-Means Clustering with Matrix-induced Regularization (ORAL)
    Xinwang Liu, Yong Dou, Jianping Yin, Lei Wang, En Zhu. AAAI-16: Feb. 2016 Abstract  Download
  5. An Efficient Radius-incorporated MKL Algorithm for Alzheimer\s Disease Prediction
    Xinwang Liu, Luping Zhou, Lei Wang, Jian Zhang, Jianping Yin, Dinggang Shen. Pattern Recognition: 2015 Download
  6. A Computational Model of the Short-Cut Rule for 2D Shape Decomposition
    Lei Luo, Chunhua Shen, Xinwang Liu, Chunyuan Zhang. IEEE transactions on image processing: 2015 Download
  7. Absent Multiple Kernel Learning
    Xinwang Liu, Lei Wang, Jianping Yin, Yong Dou, Jian Zhang. AAAI2015: 2015 Download
  8. A Method of Discriminative Information Preservation and In-Dimension Distance Minimization Method for Feature Selection
    Shangrong Huang, Jian Zhang, Xinwang Liu, Wang, Lei. ICPR: 2014
  9. Multiple Kernel Learning Based Multi-View Spectral Clustering
    Dongyan Guo, Jian Zhang, Xinwang Liu, Ying Cui, Chunxia Zhao. ICPR: 2014
  10. A Binary Feature Selection Framework in Kernel Spaces
    Chengzhang Zhu, Xinwang Liu, Sihang Zhou, Qiang Liu, Jianping Yin. IJCNN: 2014
  11. Spectral Clustering-based Local and Global Structure Preservation for Feature Selection
    Sihang Zhou, Xinwang Liu, Chengzhang Zhu, Qiang Liu, Jianping Yin. IJCNN: 2014
  12. Absent extreme learning machine algorithm with application to packed executable identification
    Peidai Xie and Xinwang Liu and Jianping Yin and Yongjun Wang. Neural Computing and Application: 2014 Download
  13. Sample-adaptive Multiple Kernel Learning
    Xinwang Liu, Lei Wang, Jian Zhang, Jianping Yin. AAAI: 2014 ,1975-1981 Download
  14. 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
  15. Research onMultiple Kernel Learning
    Xinwang Liu. NUDT Thesis: Dec, 2013 Download
  16. An Efficient Approach to Integrating Radius Information into Multiple Kernel Learning
    Xinwang Liu and Lei Wang and Jianping Yin and En Zhu and Jian Zhang. IEEE T. Cybernetics: 2013 ,43(2) ,557-569 Download
  17. An Adaptive Approach to Learning Optimal Neighborhood Kernels
    Xinwang Liu and Jianping Yin and Lei Wang and Lingqiao Liu and Jun Liu and Chenping Hou and Jian Zhang. IEEE T. Cybernetics: 2013 ,43(1) ,371-384 Download
  18. Large Margin Subspace Learning for feature selection
    Bo Liu and Bin Fang and Xinwang Liu and Jie Chen and Zhenghong Huang and Xiping He. Pattern Recognition: 2013 ,46(10) ,2798-2806 Download
  19. Incorporation of radius-info can be simple with SimpleMKL
    Xinwang Liu and Lei Wang and Jianping Yin and Lingqiao Liu. Neurocomputing: 2012 ,89 ,30-38 Download
  20. Nonlinear discriminant clustering based on spectral regularization
    Yubin Zhan and Jianping Yin and Xinwang Liu. Neural Computing and Applications: 2013 ,22(7-8) ,1599-1608 Download
  21. A Large Margin Classifier with Additional Features
    Xinwang Liu and Jianping Yin and En Zhu and Guomin Zhang and Yubin Zhan and Miaomiao Li. MLDM: 2009 ,82-95 Download
  22. In defense of soft-assignment coding
    Lingqiao Liu and Lei Wang and Xinwang Liu. ICCV: 2011 ,2486-2493 Download
  23. A Large Margin Classifier with Additional Features
    Xinwang Liu, Jianping Yin, En Zhu, Guomin Zhang, Yubin Zhan, Miaomiao Li. acm:  Springer-Verlag Abstract 
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