学术成果 | 代表性成果: Peng Zhou, Liang Du, Xuejun Li (2020) Self-paced Consensus Clustering with Bipartite Graph. The 29th International Joint Conference on Artificial Intelligence (IJCAI), Yokohama, Japan, 2020. (CCF推荐A类会议) Peng Zhou, Liang Du, Xinwang Liu, Yi-Dong Shen, Mingyu Fan, Xuejun Li, Self-paced Clustering Ensemble. IEEE Transactions on Neural Networks and Learning Systems, 2020. (SCI一区期刊) Peng Zhou, Liang Du, Xuejun Li, Yi-Dong Shen, Yuhua Qian, Unsupervised Feature Selection with Adaptive Multiple Graph Learning, Pattern Recognition, 105, 2020, 107375. (SCI二区期刊) Peng Zhou, Jiangyong Chen, Mingyu Fan, Liang Du, Yi-Dong Shen, Xuejun Li, Unsupervised feature selection for balanced clustering. Knowledge-Based System, 193,2020, 105417. (SCI二区期刊) Peng Zhou, Yi-Dong Shen, Liang Du, Fan Ye, Xuejun Li, Incremental multi-view spectral clustering. Knowledge-Based System, 174, 2019:73-86. (SCI二区期刊) Peng Zhou, Yi-Dong Shen, Liang Du and Fan Ye (2019) Incremental Multi-view Support Vector Machine. The Nineteenth SIAM International Conference on Data Mining (SDM-19), Calgary, Canada, May 2019. (CCF推荐B类会议) Peng Zhou, Liang Du, Lei Shi, Hanmo Wang and Yi-Dong Shen. Recovery of Corrupted Multiple Kernels for Clustering. The Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI-15) , 2015: 4105-4111. (CCF推荐A类会议) Peng Zhou, Liang Du, Hanmo Wang, Lei Shi and Yi-Dong Shen. Learning a Robust Consensus Matrix for Clustering Ensemble via Kullback-Leibler Divergence Minimization. (IJCAI-15) , 2015: 4112-4118. (CCF推荐A类会议) Peng Zhou, Liang Du, Mingyu Fan and Yi-Dong Shen. An LLE based Heterogeneous Metric Learning for Crossmedia Retrieval. The Fifteenth SIAM International Conference on Data Mining (SDM-15), 2015: 64-72. (CCF推荐B类会议) Liang Du, Peng Zhou, Lei Shi, Hanmo Wang, Mingyu Fan, Wenjian Wang and Yi-Dong Shen. Robust Multiple Kernel K-means using L2-1-norm. The Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI-15) , 2015: 3476-3482. (CCF推荐A类会议) Hanmo Wang, Liang Du, Peng Zhou, Lei Shi and Yi-Dong Shen. Convex Batch Mode Active Sampling via alpha-relative Pearson Divergence. The Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-15), 2015: 3045-3051. (CCF推荐A类会议) Hanmo Wang, Liang Du, Lei Shi, Peng Zhou, Yuhua Qian, and Yi-Dong Shen. Experimental Design With Multiple Kernels. The Fifteenth IEEE International Conference on Data Mining (ICDM-15), 2015: 419-428. (CCF推荐B类会议) Liang Du, Zhiyong Shen, Xuan Li, Peng Zhou and Yi-Dong Shen. Local and Global Discriminative Learning for Unsupervised Feature Selection. The Thirteenth IEEE International Conference on Data Mining (ICDM-13), 2013:131-140. (CCF推荐B类会议)
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