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周 芃


发表日期:2019-04-16 供稿:


十博研究生导师简介

院(系、所):十博

姓名: 周芃

性别: 男

出生年月:  19896

导师类别:硕士研究生导师

技术职称: 副教授


联系方式

zhoupeng@ahu.edu.cn

招生专业名称

计算机应用

主要研究方向

机器学习

数据挖掘

人工智能

个人简历

    2011年毕业于中国科学技术大学十博,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。后加入十博十博,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IEEE TPAMI、IEEE TKDE、IEEE TNNLS、IEEE TCYB、Neural Networks、Signal Processing等期刊审稿人。个人主页请参见 https://doctor-nobody.github.io/


学术成果

代表性成果:

[1] Peng Zhou, Liang Du, Yi-Dong Shen, Xuejun Li (2021) Tri-level Robust Clustering Ensemble with Multiple Graph Learning. Thirty-fifth AAAI Conference on Aritificial Intelligence (AAAI 2021), 2021. (CCF推荐A类会议)

[2] 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,接收率12.6%)

[3] Xiaoqin Zhang, Mingyu Fan, Di Wang, Peng Zhou*, Dacheng Tao. Top-k Feature Selection Framework Using Robust 0-1 Integer Programming. IEEE Transactions on Neural Networks and Learning Systems, 2020. (中科院一区Top期刊,通讯作者)

[4] 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.(中科院一区Top期刊)

[5] Peng Zhou, Liang Du,  Xuejun Li, Yi-Dong Shen, Yuhua Qian, Unsupervised Feature Selection with Adaptive Multiple Graph Learning, Pattern Recognition, 105, 2020, 107375. (中科院二区期刊)

[6] 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. (中科院二区期刊)

[7] Peng Zhou, Yi-Dong Shen, Liang Du, Fan Ye, Xuejun Li,  Incremental multi-view spectral clustering. Knowledge-Based System, 174, 2019:73-86. (中科院二区期刊)

[8] 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)

[9] 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)

[10] 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)

[11] 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)

[12] 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)

[13] 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)

[14] 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)

[15] 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),20     13:131-140. (CCF推荐B类会议)

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




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