个人简介
个人简历
2011年毕业于中国科学技术大学计算机科学与技术学院，获学士学位。2017年毕业于中国科学院软件研究所，获博士学位。后加入安徽大学计算机科学与技术学院，主要从事聚类集成、多视图学习、多核学习等方面研究工作。近年来在国际顶级和高水平会议（如IJCAI、AAAI、ICDM、SDM等）和期刊（如IEEE TNNLS、PR等）发表多篇论文。主持国家自然科学基金一项，并参加多项国家基金。担任IJCAI、AAAI、ECAI等会议程序委员，以及IEEETKDE、IEEE TNNLS、IEEE TCYB、Neurocomputing、Signal Processing等期刊审稿人。
获奖情况
获2016年中国科学院院长奖
在研项目
[1] 国家自然科学基金青年项目，61806003，基于鲁棒集成学习一致性聚类方法研究，2019/01-2021/12，主持
[2] 安徽省教育厅自然科学重点项目，KJ2018A0010，鲁棒多视图聚类方法研究，2018/01-2019/12，主持
[3] 中国科学院软件研究所计算机科学国家重点实验室开放课题，无监督多图表示学习方法研究， 2019/01-2020/12，主持
近期论文
查看导师新发文章
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1.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)
2.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）
3.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）
4.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）
5.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）
6.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）
7.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)
8.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）
9.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)
10.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)
11.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)
12.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)
13.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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