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李旭涛的简历

更新时间:2015年10月19日 00:58:34访问次数:

李旭涛的 简历
姓名 李旭涛
学历 :博士(计算机)
任职 教授
通讯 地址:广东省深圳市南山区西丽大学城哈工大校区 G栋711
电话: 15820428664
 
研究 方向 (R esearch Interests)
数据 挖掘、机器学习、 社交 网络分析、 推荐 系统、 多模态/张 量数据挖掘
教育 背景 (E ducation Background):
2009年9月 ——2014 年1月,哈尔滨 工业大学 计算机科学与技术) 博士
2007年9月 ——2009 年7月 哈尔滨 工业大学 计算机科学与技术) ,硕
2003年9月 ——2007 年7月,  兰州 大学(计算机科学与技术) 学士
工作 经历 Working Experience):
2013年11月——2015年9月,南洋 理工大学,博士后
2015年9月—— 至今, 哈尔滨 工业大学深圳研究生院 , 副教授
社会任职 (Professional Experience)
Numerical Linear Algebra with Applications (NLA 审稿人)
IEEE Transactions on Knowledge and Data Engineering (TKDE 审稿人)
Research Grants Council Hong Kong (RGC HK 评委 )
International Conference on Web-Age Information Management (WAIM 2014-2015, 审稿人)
International AAAI Conference on Web and Social Media (ICWSM 2014, 审稿人)
Conference on Empirical Methods in Natural Language Processing (EMNLP 2014-2015, 审稿人)
 
发表 论文 (P ublications)
会议论文
[1]  Xutao Li , Gao Cong, Xiaoli Li, Pham Nguyen Tuan Anh, Shonali  Priyadarsini Krishnaswamy." Rank-GeoFM: A Ranking based Geographical Factorization Method for Point of Interest Recommendation". International ACM SIGIR Conference on Research and Development in Information Retrieval   (SIGIR) , 2015. (CCF A类 )
[2]  Xutao Li , Tuan-Anh Nguyen Pham, Gao Cong, Quan Yuan, Xiao-Li Li, Shonali  Krishnaswamy. "Where you Instagram? Associating Your Instagram Photos with Points of Interest" .   ACM International Conference on Information and Knowledge Management (CIKM),  2015. (CCF B 类 )
[3]  Shanshan Feng, Xutao Li , Yifeng Zeng, Gao Cong, Yeow Meng Chee, Quan Yuan. "Personalized Ranking Metric Embedding for Next New POI Recommendation".  International Joint Conference on Artificial Intelligence (IJCAI) , 2015. (CCF A类 )
[4]  Pham Nguyen Tuan-Anh, Xutao Li , Gao Cong, Zhenjie Zhang."A General Graph-based Model for Recommendation in Event-based Social Networks". International Conference on Data Engineering (ICDE), 2015. (CCF A 类)
[5]  Michael K. Ng, Xutao Li  and Yunming Ye. "MultiRank: co-ranking for objects and relations in multi-relational data". In proceeding of 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining  (SIGKDD) ,  pp. 1217-1225, 2011. ( CCF A类)
[6]  Xutao Li , Michael K. Ng, Yunming Ye. "HAR: Hub, Authority and Relevance Scores in Multi-Relational Data for Query Search".   In proceeding of 12th   SIAM International Conference on Data Mining  (SDM) ,  pp. 141-152, 2012. (CCF B类)
[7]  Xutao Li , Yunming Ye, Qingyao Wu, Michael K. Ng. "MultiFacTV: Finding Modules from Higher-order Gene Expression Profiles with Time Dimension", IEEE Conference on BioInformation and BioMedicine (BIBM), pp.1-6, 2012. (CCF B类)
[8]  Yunming Ye, Xutao Li , Biao Wu, Yan Li. "Feature Weighting Information-Theoretic Co-Clustering for Document Clustering". International Conference on Computer Science and Its Applications , pp. 1-6, 2009. 
 
 期刊论文
[1]  Xutao Li,  Michael K. Ng, Yunming Ye. "MultiComm: Finding Community Structure in Multi-Dimensional Networks ".  IEEE Transactions on Knowledge and Data Engineering , Vol. 4, No. 26, pp.929-941, 2014 . (CCF A类,JCR 1区 , IF= 1.892)
[2]  Xutao Li , Yunming Ye, Michael K. Ng, Qingyao Wu, Yan Li. "MultiFacTV: Module Detection from Higher-order Time Series Biological Data". BMC Genomics , 14 (Suppl 4):S2, 2014. (JCR 1区, IF= 4.397)
[3]  Xutao Li,  Yunming Ye, Mark Junjie Li, Michael K. Ng. "On cluster tree for nested and multi-density data clustering".   Pattern Recognition , Vol. 43, No. 9, pp. 3130-3143, 2010. (CCF B类,JCR 1区, IF= 2.632)
[4]  Xutao Li , Wen Li, Michael K. Ng and Yunming Ye.  "On Multivariate Markov Chains for Common and Non-common Objects in Multiple Networks". Numerical Mathematics: Theory, Methods and Applications , Vol. 5 , No. 3, pp. 384-402, 2012. (JCR 2区, IF=0. 772)
[5]  Xutao Li, Michael K. Ng. "Solving Sparse Tensor Equations: Algorithms and Applications". Frontiers of Mathematics in China. DOI 10.1007/s11464-014-0377-3,pp. 1-32, 2014.(JCR 3 区, IF=0.323
[6]  Chuan Chen, Xutao Li , Michael K. Ng, Xiaoming Yuan. "Total Variation Based Tensor Decomposition for Multi-dimensional Data with Time Dimension". Numerical Linear Algebra with Applications , accepted, to appear, 2015.  (JCR 1 区,   IF= 1.202 )
[9]  Xutao Li , Michael K. Ng. and Yunming Ye. "Finding Stationary Probability Vector of a Transition Probability Tensor Arising from a Higher-order Markov Chain". Technical Report at ICM in Hong Kong Baptist University , 8 February 2011.
[10]  Yang Liu, Xutao Li , Zhiping Liu, Luonan Chen, Michael K. Ng. "Construction and Analysis of SNP-SNP Interaction Networks". IET Systems Biology , Vol 5.  No. 7, 2013. (JCR 2区 ,IF=1.535 )
[11]  Qingyao Wu, Kuiming Tan, Xutao Li , Huaqing Min, Ning Sun, NMFE-SSCC: Non-negative Matrix Factorization Ensemble for Semi-supervised Collective Classification,   Knowledge-Based Systems ,   2015. (JCR 1 IF =4.104 )
[12]  Yixiang Fang, Haijun Zhang, Yunming Ye, Xutao Li . "Detecting Hot Topics from Twitter: A Multi-Viewer Approach". Journal of Information Science , DOI: 10.1177/01655515145416, pp. 1-16, 2014. (JCR 2区, IF=1. 238 )
[13]   Yanfeng Zhang, Xiaofei Xu, Yingqun Liu, Xutao Li , Yunming Ye. "A Novel Decision Cluster Classifier with Nested Agglomerative K-Means." Journal of Internet Technology.  Vol 1, No. 14, pp.145-151, 2013 .  ( JCR 4区, IF= 0.481 )
[14]  Xiaohui Huang, Xiaofeng Zhang, Yunming Ye, S. Deng, Xutao Li . "A Topic Detection Approach Through Hierarchical Clustering on Concept Graph".  No. 6, Vol. 7, 2013. ( JCR3区  IF=0.731 )
[15]  Yunming Ye, Xutao Li , Biao Wu, Yan Li.  " A comparative study of feature weighting methods for document co-clustering ". International Journal of Information Technology, Communications and Convergence , Vol. 1, No. 2, 206-220, 2011.
[16]  Yuanyuan Wang, Yunming Ye, Xutao Li , Michael K. Ng and Joshua Zhexue Huang. "Hierarchical Information Theoretical Co-clustering For High Dimensional Data". International Journal of Innovative Computing, Information and Contro l , Vol. 7, No. 1, pp.487-500, 2011.
[17]  Yanfeng Zhang, Xutao Li , Yunming Ye, Xiaofei Xu, Shengchun Deng. "Information-theoretic Agglomerative K-means". Information Technology Journal , Vol. 10, No. 12, 2011.
[18]  Qingyao Wu, Jian Chen, Shen-Shyang Ho , Xutao Li , Huaqing Min, Chao Han. Multi-label Regularized Generative Model for Semi-Supervised Collective Classification in Large-Scale Networks. Big Data Research , 2015.
 

 

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