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  • 杜亮

    最终学位:博士

    导师类型:博士生导师

  • 电子邮箱:duliang@sxu.edu.cn

    联系电话:0351-7010566

  • 研究方向:人工智能、数据挖掘

  • 个人简介
  • 学术论文
  • 科研项目

杜亮,博士,副教授,博士生导师。研究方向为人工智能与大数据计算、数据挖掘与机器学习。

2007年武汉大学获软件工程学士学位,2013年中国科学院软件研究所计算机科学国家重点实验室获工学博士学位。2010-2011年在惠普(中国)研究院从事实习研究;2013-2014年在淘宝(中国)软件有限公司从事计算广告方面的开发研究;2014-2015年在中国科学院软件研究所参与973项目“网络信息空间大数据计算理论”的研究。

主要从事无监督学习、多源融合和排序学习等基础算法研究工作。先后发表论文50多篇,其中在IEEE TKDE,IEEE TNNLS, IEEE TCYB, PR, KBS, Neurocomputing,软件学报,中国科学:信息科学等知名期刊和KDD,AAAI,IJCAI,ICDM,SDM,CIKM等国际会议上发表论文30多篇。主持国家自然科学基金项目2项,省级项目多项,产学研合作课题多项。曾获“三晋英才”青年优秀人才,中国科学院院长奖、北京市优秀毕业生等奖励。

[1] Peng Zhou, Liang Du, Yi-Dong Shen, Xuejun Li. Tri-level Robust Clustering Ensemble with Multiple Graph Learning, AAAI, 2021.

[2] Peng Zhou, Liang Du, Xinwang Liu, Yi-Dong Shen, Mingyu Fan, Xuejun Li. Self-paced Clustering Ensemble, TNNLS, 2021.

[3] Peng Zhou, Liang Du, Xuejun Li. Self-paced Consensus Clustering with Bipartite Graph, IJCAI, 2020.

[4] Peng Zhou, Liang Du, Xuejun Li, Yi-Dong Shen, Yuhua Qian. Unsupervised Feature Selection with Adaptive Multiple Graph Learning, PR, 2020.

[5] Peng Zhou, Jiangyong Chen, Mingyu Fan, Liang Du, Yi-Dong Shen, Xuejun Li. Unsupervised feature selection for balanced clustering, KBS, 2020.

[6] Peng Zhou, Yi-Dong Shen, Liang Du, Fan Ye, Xuejun Li. Incremental multi-view spectral clustering, KBS, 2019.

[7] Peng Zhou, Yi-Dong Shen, Liang Du, Fan Ye. Incremental multi-view support vector machine, SDM, 2019.

[8] Mingyu Fan, Xiaoqin Zhang, Liang Du, Liang Chen, Dacheng Tao, Semi-Supervised Learning Through Label Propagation on Geodesics, IEEE TCYB, 2018.

[9] Hanmo Wang, Liang Du, Peng Zhou, Lei Shi, YuHua Qian and Yi-Dong Shen. Localized Multiple Kernel Experimental Design, ICDM 2015.

[10] NanNan Gu, MingYu Fan, Di Wang, LiHao Jia and Liang Du. Semi-supervised classification based on affine subspace sparse representation, SCIENCE CHINA Information Sciences,2015.

[11] Liang Du and Yi-Dong Shen. Unsupervised Feature Selection with Adaptive Structure Learning, KDD, 2015.

[12] Nannan Gu, Mingyu Fan, Liang Du, Dongchun Ren. Efficient Sequential Feature Selection Based on Adaptive Eigenspace Model, Neurocomputing, 2015.

[13] Liang Du, Peng Zhou, Lei Shi, Hanmo Wang, Mingyu Fan, Wenjian Wang, Yi-Dong Shen. Robust Multiple Kernel K-means Clustering using L21-norm, IJCAI, 2015.

[14] Peng Zhou, Liang Du, Lei Shi, Hanmo Wang, Yi-Dong Shen. Recovery of Corrupted Multiple Kernels for Clustering, IJCAI, 2015.

[15] Peng Zhou, Liang Du, Hanmo Wang, Lei Shi, Yi-Dong Shen. Learning a Robust Consensus Matrix for Clustering Ensemble via Kullback-Leibler Divergence Minimization, IJCAI, 2015.

[16] Peng Zhou, Liang Du, Mingyu Fan, and Yi-Dong Shen. An LLE based Heterogeneous Metric Learning for Cross-media Retrieval, SDM 2015.

[17] Hanmo Wang, Liang Du and Yi-Dong Shen. Convex Batch Mode Active Sampling via alpha-relative Pearson Divergence, AAAI, 2015.

[18] Liang Wu, Liang Du, Bo Liu, Guandong Xu, Yong Ge, Yanjie Fu, Yuanchun Zhou, Jianhui Li and Hui Xiong. Heterogeneous Metric Learning with Content-based Regularization for Software Artifact Retrieval, ICDM 2014.

[19] Lei Shi, Liang Du and Yi-Dong Shen. Robust Spectral Learning for Unsupervised Feature Selection, ICDM 2014.

[20] Liang Du, Zhiyong Shen, Xuan Li, Peng Zhou and Yi-Dong Shen. Local and Global Discriminative Learning for Unsupervised Feature Selection, ICDM 2013.

[21] Liang Du and Yi-Dong Shen. Towards robust co-clustering, IJCAI, 2013.

[22] Xuan Li, Liang Du and Yi-Dong Shen. Update summarization via graph-based sentence ranking, TKDE, 2013.

[23] Liang Wu, Alvin Chin, Guandong Xu, Liang Du, Xia Wang, Kangjian Meng, Yonggang Guo and Yuanchun Zhou. Who Will Follow Your Shop? Exploiting Multiple Information Sources in Finding Followers, DASFAA, 2013.

[24] Liang Du Xuan Li and Yi-Dong Shen. Robust nonnegative matrix factorization via half-quadratic minimization, ICDM 2012.

[25] Xuan Li, Liang Du, and Yi-Dong Shen. Graph-Based Marginal Ranking for Update Summarization, SDM 2011.

[26] Zhiyong Shen, Liang Du, Xukun Shen, and Yi-Dong Shen. Interval-valued Matrix Factorization with Applications, ICDM 2010.

[27] Xuan Li, Yi-Dong Shen, Liang Du, and Chen-Yan Xiong. Exploiting novelty, coverage and balance for topic-focused multi-document summarization, CIKM, 2010.