PDF《杜亮山西省太原市坞城路 号,_杜亮》

杜亮山西省太原市坞城路 号, 山西大学 计算机与信息技术学院 (太原)/ (北京) im.

duliang@qq.com http://lcs.ios.ac.cn/ duliang Stay Focused, Never Give Up 基本信息 姓名: 杜亮 性别: 男民族: 汉族 籍贯: 山西左权 出生年月: 年月政治面貌: 中共党员 研究方向 领域 数据挖掘、机器学习、大数据分析 问题 聚类分析、特征选择、鲁棒学习、矩阵分解 应用 推荐系统、排序学习、文本挖掘、社交网络分析等 教育背景 C 工学博士, 计算机软件与理论, 中国科学院大学. 中国科学院, 软件研究所, 计算机科学国家重点实验室 C 工学学士, 软件工程, 武汉大学, 国际软件学院. 工作经历 . - 至今 讲师, 山西大学, 计算机与信息技术学院, 太原 从事教学科研工作 . - 至今 助理/副研究员 (项目聘用), 中国科学院, 软件研究所, 北京 从事网络大数据的表示、度量和语义理解方面的研究 . - . 软件工程师, 阿里巴巴集团, 北京 从事计算广告, 包括大数据分析, 搜索广告排序优化, 定向广告推荐等开发和研究 . - . 实习生, 惠普中国研究院, 北京 研究面向区间数据的低秩非负矩阵分解方法及其在协同过滤中的应用 项目经历 工业项目 C 阿 里巴巴集团 [ ] 基于飞天分布式平台的淘客算法迁移,负责淘客中长尾查询匹配离线任务群 从云梯升级到 ODPS 平台. [ ] 基于用户近期历史行为的广告推荐,利用用户在站内的历史行为用户推荐更 加精准的广告内容,负责设计并实现线上排序算法. [ ] 潮流单品排序优化,通过引入商品图像特征优化单品排序的美观度,以提升 用户访问体验,负责特征抽取和排序分融合. [ ] 爱淘宝综合搜索排序优化,通过搜索打通爱淘宝内部清单/专辑/搭配/店铺等 多种集合数据,实现流量的合理分配,负责设计集合类特征抽取和相关性计算. 科研项目 [ ] 主持国家自然科学基金青年项目:面向多源大数据的鲁棒聚类模型与算法研 究, 编号: [ ] 主持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:面向大数 据的鲁棒特征选择和抽取算法研究, 编号: SYSKF [ ] 作为核心人员参与 子课题:网络大数据的表示、度量和语义理解,编号: CB [ ] 硕博连读期间先后受 ( ) 互联网环境中文言语信息处理与深度计算的基础理论 和方法, 子课题,编号 CB ;

( ) 通用型回答集程序关键问题研究, NSFC 面上项目;

( ) 抽象约束回答集程序关键问题及在语义 Web 中的应用研究, NSFC 面上项目;

( ) 非命题化的回答集程序推理算法、系统实现以及典型应用 研究,NSFC 面上项目等资助. 主要研究成果 已发表学术论文 多篇,其中包括数据挖掘领域顶级国际会议 ACM Knowledge Discovery and Data Mining (KDD ), IEEE International Conference on Data Min- ing (ICDM 人工智能领域的顶级国际会议 International Joint Conference on Artificial Intelligence (IJCAI , ),AAAI Conference on Artificial Intelligence (AAAI ),数据工程领域的顶级国际期刊 IEEE Transac- tion on Knowledge and Data Engineering (TKDE) 等. Highlights CCF-A(CCF-B(CCF-C(其他 ( / = %) CCF-A( ) KDD( ), IJCAI( ), AAAI( ), TKDE( ) CCF-B( ) ICDM( ), SDM( ), CIKM( ), DASFAA( ), 中国科学 ( ) CCF-C( ) WAIM( ), WISE( ), Neurocomputing( ) ? indicates corresponding author + indicates co-supervised student [ ] Hanmo Wang, Liang Du? , Peng Zhou, Lei Shi, YuHua Qian and Yi-Dong Shen. Lo- calized Multiple Kernel Experimental Design. in Proceedings of the Fifteenth IEEE International Conference on Data Mining (ICDM), pages xxx-xxx, Atlantic City, NJ, USA, November C , , To appear. (Full paper, acceptance rate [ ] NanNan Gu, MingYu Fan, Di Wang, LiHao Jia and Liang Du. Semi-supervised clas- sification based on affine subspace sparse representation. Science in China-Series F: Information Sciences (中国科学), , To appear. [ ] Liang Du, Yi-Dong Shen. Unsupervised Feature Selection with Adaptive Structure Learning. in Proceedings of the th ACM SIGKDD Conference on Knowledge Dis- covery and Data Mining (KDD), pages - , Sydney, Australia, August C , . [ ] Nannan Gu, Mingyu Fan, Liang Du, Dongchun Ren. Efficient Sequential Feature S- election Based on Adaptive Eigenspace Model. Neurocomputing, Volume , Pages C , August . [ ] Liang Du, Peng Zhou, Lei Shi, Hanmo Wang, Mingyu Fan, Wenjian Wang, Yi-Dong Shen. Robust Multiple Kernel K-means Clustering using ?2,1-norm. in Proceedings of the Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI), pages - , Buenos Aires, Argentinean, July - , . (Oral paper, acceptance rate [ ] Peng Zhou, Liang Du? , Lei Shi, Hanmo Wang, Yi-Dong Shen. Robust Multiple Ker- nel Learning. in Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI), pages - , Buenos Aires, Argentinean, July - , . (Oral paper, acceptance rate [ ] Peng Zhou, Liang Du? , Hanmo Wang, Lei Shi, Yi-Dong Shen. Learning a Robust Con- sensus Matrix for Clustering Ensemble via Kullback-Leibler Divergence Minimization. in Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intel- ligence (IJCAI), pages - , Buenos Aires, Argentinean, July - , . (Oral paper, acceptance rate [ ] Peng Zhou, Liang Du, Mingyu Fan, Yi-Dong Shen. An LLE based Heterogeneous Met- ric Learning for Cross-media Retrieval. In Proceedings of the Eleventh SIAM Interna- tional Conference on Data Mining (SDM), pages - , Vancouver, British Columbia, Canda, April -May , . (Full paper, acceptance rate [ ] Hanmo Wang, Liang Du, Peng Zhou, Lei Shi, Yi-Dong Shen. Convex Batch Mode Active Sampling via α-relative Pearson Divergence. in Proceedings of the Twenty- Ninth AAAI Conference on Artificial Intelligence (AAAI), pages - , Austin Texas, USA, January C , . [ ] 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 Regu- larization for Software Artifact Retrieval. The th IEEE International Conference on Data Mining (ICDM), pages - , Shenzhen, China, December - , . (Full paper, acceptance rate [ ] Lei Shi, Liang Du, and Yi-Dong Shen. Robust Spectral Learning for Unsupervised Feature Selection. The th IEEE International Conference on Data Mining (ICDM), pages - , Shenzhen, China, December - , . [ ] Liang Du, Zhiyong Shen, Xuan Li, Peng Zhou and Yi-Dong Shen. Local and Global Discriminative Learning for Unsupervised Feature Selection. The th IEEE Interna- tional Conference on Data Mining (ICDM), pages - , Dallas, TX, USA, December - , . (Full paper, acceptance rate 94/809 = 11.6%). [ ] Jun Deng, Liang Du, and Yi-Dong Shen. Heterogeneous Metric Learning for Cross- Modal Multimedia Retrieval, The th International Conference on Web Information System Engineering (WISE), pages - , Nanjing, China, October - , . [ ] Liang Du and Yi-Dong Shen. Towards robust co-clustering. The rd International Joint Conference on Artificial Intelligence (IJCAI), pages - , Beijing, China, August - , . (Oral paper, acceptance rate 195/1473 = 13.2%). [ ] Liang Du and Yi-Dong Shen. Joint clustering and feature selection. The th Inter- national Conference on Web-Age Information Management (WAIM), pages - , Beidaihe, China, June - , . [ ] Liang Du, Yi-Dong Shen, Zhiyong Shen, Jianying Wang and Zhiwu Xu. A self- supervised framework for clustering ensemble. The th International Conference on Web-Age Information Management (WAIM), pages - , Beidaihe, China, June - , . [ ] Xuan Li, Liang Du and Yi-Dong Shen. Update summarization via graph-based sentence ranking. IEEE Transactions on Knowledge and Data Engineering (TKDE), May , vol. , no. , pages - . [ ] Liang Wu, Alvin Chin, Guandong Xu, Liang Du, Xia Wang, Kangjian Meng, Yong- gang Guo and Yuanchun Zhou. Who Will Follow Your Shop? Exploiting Multiple Information Sources in Finding Followers. Database Systems for Advanced Applica- tions (DASFAA), pages - , Wuhan, China, April - , . [ ] Liang Du, Xuan Li and Yi-Dong Shen. Robust nonnegative matrix factorization via half-quadratic minimization. In Proceedings of IEEE th International Conference on Data Mining (ICDM), pages - , Brussels, Belgium, December - , . (Full paper, acceptance rate 81/756 = 10.7%). [ ] Liang Du, Xuan Li and Yi-Dong Shen. Cluster ensembles via weighted graph reg- ularized nonnegative matrix factorization. Advanced Data Mining and Applications (ADMA), pages - , Beijing, China, December - , . [ ] Liang Du, Xuan Li and Yi-Dong Shen. User graph regularized pairwise matrix factor- ization for item recommendation. Advanced Data Mining and Applications (ADMA), pages - , Beijing, China, December - , . [ ] Xuan Li, Liang Du and Yi-Dong Shen. Graph-based marginal ranking for update sum- marization. In Proceedings of the Eleventh SIAM International Conference on Data Mining (SDM), pages - , Arizona, USA, April - , . [ ] Zhiyong Shen, Liang Du, Xukun Shen and Yi-Dong Shen. Interval-valued matrix fac- torization with applications. In Proceedings of the IEEE th International Conference on Data Mining (ICDM), pages - , Sydney, Australia, December - , . [ ] Xuan Li, Yi-Dong Shen, Liang Du and Chen-Yan Xiong. Exploiting novelty, cover- age and balance for topic-focused multi-document summarization. In Proceedings of the th ACM international conference on Information and knowledge management (CIKM), pages - , Toronto, Canada, October - , . 学术活动 学术兼职 中国人工智能协会粗糙集与软计算专委会委员 Journal IEEE Transactions on Knowledge and Data Engineering (TKDE). Reviewer Data Mining and Knowledge Discovery (DAMI). Information Sciences Neurocomputing. International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI). PC Member The th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) . The workshop, The DAta mining meets Visual Analytics at big data era (DAVA ), on The IEEE International Conference on Data Mining (ICDM) . The IEEE International Conference on Advanced and Trusted Computing (ATC) . External Reviewer The ACM Conference on Knowledge Discovery and Data Mining (KDD) , , . The International Joint Conference on Artificial Intelligence (IJCAI) , . The AAAI Conference on Artificial Intelligence (AAAI) The ACM Conference on Information and Knowledge Management (CIKM) . The International Semantic Web Conference (ISWC) , . The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) , , . The Pacific Rim International Conference on Artificial Intelligence (PRICAI) , , . The International Conference on Software Engineering and Knowledge Engineering (SEKE) , . 专业技能 具有坚实的专业基础知识与技能,有强烈的工作责任心、进取和团队协作精神;