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博士生导师

姓名:礼欣
所在学科:计算机科学与技术
职称:副教授 博士生导师
联系电话:(86) 139-114O-chr(54)+chr(51)+chr(48)+chr(55)
E-mail:xinli@bit.edu.cn
通信地址:北京市海淀区中关村南大街5号,北京理工大学中心教学楼 1O3O室

个人信息

  礼欣,博士,博士后。

  吉林大学学士、硕士,师从孙吉贵教授。香港浸会大学(Hong Kong Baptist University)博士、博士后,师从Dr. William K. Cheung 与 Prof. Jiming Liu。曾作为访问学者访问University of Waterloo, Canada (Host: Prof. Pascal Poupart),作为高级访问学者访问University of Technology Sydney, Australia (Host: Prof. Ivor W. Tsang). 目前主要从事数据挖掘、深度学习、强化学习、表示学习的相关理论研究和技术应用。近年来以第一作者及通讯作者身份在ICML、IJCAI、AAAI、ECML-PKDD、IEEE TCYB、TOIS、TKDE等人工智能、机器学习领域的知名国际会议和期刊发表若干篇学术论文。自2010-2019年担任The IEEE Intelligent Informatics Bulletin, Assistant Managing Editor。

  在学生指导方面,鼓励并推荐学生交流访问,指导的博士生刘立,何景分别于香港浸会大学、美国斯坦福大学访问。硕士生杨亮、李懿分别于香港理工大学、香港浸会大学访问。指导硕士研究生刘琳、江明明、李盛楠、叶蕊、洪辉婷同学发表CCF A类会议论文三篇,CCF A类/SCI一区期刊论文两篇,并获得国家奖学金。学生毕业去向包括阿里、腾讯、京东、美团,滴滴等公司,或中国招商银行(总行),中国工商银行(总行),中科院电子所,中科院信工所,中国外交部等企事业单位。

科研方向

  机器学习、深度(强化)学习、表示学习理论及应用,包括:

  复杂网络数据挖掘、城市计算、车联网

  以及深度学习/深度强化学习技术在工业大数据、机器人领域的应用

  此外本人还关注机器学习、深度学习技术在医疗及公共卫生领域的应用,包括疾病诊断/预测

代表性学术成果

  以下文章列表按发表时年倒序排列(*为通讯作者)

  CCF A/B类会议论文

  [1] Rui Ye, Xin Li*, et al. “A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment”, in Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), To Appear, Aug., 2019, Macao, China.

  [2] Jing He, Xin Li*, Lejian Liao, et al, “Inferring Continuous Latent Preference on Transition Intervals for Next Point-of-Interest Recommendation”, ECML/PKDD (2) 2018: 741-756, Sept. 2018, Dublin, Ireland.

  [3] Shengnan Li, Xin Li*, et al. “Non-translational Alignment for Multi-relational Networks”, in Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI), Pages: 4180-4186, Aug., 2018, Stockholm, Sweden.

  [4] Lin Liu, Xin Li*, William K. Cheung, Chengcheng Xu, “A Structural Representation Learning for Multi-relational Networks”, in Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), Pages: 4047-4053, Aug., 2017, Melbourne, Australia. Source Code:https://github.com/luoxiaolin521/MNE

  [5] Jing He, Xin Li*, Lejian Liao, “Category-aware Next Point-of-Interest Recommendation via Listwise Bayesian Personalized Ranking”, in Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), Pages: 1837-1843, Aug., 2017, Melbourne, Australia. Source Code:https://github.com/skyhejing/IJCAI2017

  [6] Jing He, Xin Li*, Lejian Liao, Dandan Song, William K. Cheung, Inferring A Personalized Next Point-of-Interest Recommendation Model with Latent Behavior Patterns, in Proceedings of AAAI Conference on Artificial Intelligence (AAAI), Pages: 137-143, February, 2016, Phoenix, Arizona USA. Source Code:https://github.com/skyhejing/AAAI2016

  [7] Li Liu, William K. Cheung, Xin Li*, Lejian Liao, “Aligning Users Across Social Networks Using Network Embedding”, in Proceedings of the 25th International Joint Conf0erence on Artificial Intelligence (IJCAI), Pages: 1774-1780, July, 2016, New York City, USA. Source Code:https://github.com/ColaLL/AcrossNetworkEmbeddingSynthetic

  [8] Xin Li*, William K. Cheung, Jiming Liu, Zhili Wu, “A Novel Orthogonal NMF-Based Belief Compression for POMDPs”, in Proceedings of 24th International Conference on Machine Learning (ICML), Pages: 537 -544 Corvallis, OR, US, 2007.

  arXiv论文

  [1] Pengfei Zhu, Xin Li*, Pascal Poupart, “On Improving Deep Reinforcement Learning for POMDPs ”. CoRR abs/1704.07978(2017) . Source Code:https://github.com/bit1029public/ADRQN

  [2] Huiting Hong, Xin Li*, et al.“GANE: A Generative Adversarial Network Embedding”. CoRR abs/1805.07324 (2018) .  

  期刊论文

  [1] Li Liu, Xin Li, William K. Cheung, Lejian Liao, “Structural Representation Learning for User Alignment Across Social Networks”, IEEE Transactions on Knowledge and Data Engineering (TKDE), Online, 2019 (CCF A类期刊).

  [2] Xin Li, Liang Yang, Yi Li, “Deep trajectory: a deep learning approach for mobile advertising in vehicular networks”, Neural Computing and Applications(NCAA), Online, 2017.

  [3] Jing He, Xin Li*, Lejian Liao, “Next Point-of-Interest Recommendation via a Category-aware Listwise Bayesian Personalized Ranking”, Journal of Computational Science (JOCS), Online, 2017.

  [4] Xin Li, Mingming Jiang, Huiting Hong, Lejian Liao, “Time-aware Personalized Point-of-Interest Recommendation via High-order Tensor Factorization”, ACM Transactions on Information Systems (TOIS), Volume 35, Issue 4: (31), August 2017 (CCF A类期刊).

  [5] Meng Zhou, Xin Li*, Lejian Liao, “On preventing location attacks for Urban Vehicular Networks” , Mobile Information System (MIS), Volume 2016, Pages:1-13, December 2016.

  [6] Jialiang Chen, Xin Li*, William K. Cheung, Kan Li, “Effective Successive POI Recommendation Inferred with Individual Behavior and Group Preference”, Neurocomputing, Volume 210, Pages: 174–184, October 2016.

  [7] 栗雨晴,礼欣*,韩煦,宋丹丹,廖乐健,基于双语词典的微博多类情感分析方法,电子学报, 2016 Vol. 44 (9): 2068-2073.

  [8] Chunshan Li, William K. Cheung, Yunming Ye, Xiaofeng Zhang, Dian-Hui Chu, Xin Li: The Author-Topic-Community model for author interest profiling and community discovery. Knowledge and Information System (KAIS) 44(2): 359-383 (2015) (CCF B类期刊).

  [9] Xin Li, William K. Cheung, Jiming Liu, "Improving POMDP’s Tractability Via Belief Compression and Clustering", IEEE Transaction on Systems, Man and Cybernetics – Part B 40(1):125-136 Feb, 2010 (SCI 一区).

  其他会议论文

  [1] Xinqiang Zhao, Xin Li*, Lejian Liao, Dandan Song, William K. Cheung: Crafting a Time-Aware Point-of-Interest Recommendation via Pairwise Interaction Tensor Factorization. KSEM 2015: Pages: 458-470, Chongqing, China (CCF C类会议).

  [2] Meng Qi, Xin Li*, Lejian Liao, Dandan Song, William K. Cheung: Deriving an Effective Hypergraph Model for Point of Interest Recommendation. KSEM 2015: 771-777, Chongqing, China. (CCF C类会议).

  [3] Maocai Fu, Xin Li*, Fan Li, Xinyu Guo, Zhili Wu, “TMODF: Trajectory-based Multi-objective Optimal Data Forwarding in Vehicular Networks”, in Proceedings of the 33rd IEEE International Performance Computing and Communications Conference (IPCCC 2014), Austin, Texas, USA December 5-7, 2014 (CCF C类会议).

  [4] Ruiling Li, Fan Li, Xin Li, Yu Wang, “QGrid: Q-learning Based Routing Protocol for Vehicular Ad Hoc Networks”, in Proceedings of the 33rd IEEE International Performance Computing and Communications Conference (IPCCC 2014), Austin, Texas, USA December 5-7, 2014 (CCF C类会议).

  [5] Chengyuan Wang, Xin Li*, Fan Li, Huimei Lu, “ A Mobility Clustering-based Roadside Units Deployment for VANET”, in Proceedings of The 16th Asia-Pacific Network Operations and Management Symposium,National Chiao Tung University, Taiwan,September 17-19, 2014  (CCF C类会议).

  [6] Yanmei Zhai, Xin Li*, Jialiang Chen, Xiumei Fan, William K. Cheung, “ A Novel Topical Authority-based Microblog Ranking”, in Proceedings of The 16th Asia-Pacific Web Conference (APWeb), Changsha, August, 2014 (CCF C类会议).

  [7] Yuqing Li, Xin Li*, Fan Li, Xiaofeng, Zhang, “ A Lexicon-based Multi-class Semantic Orientation Analysis For Microblog”, in Proceedings of The 16th Asia-Pacific Web Conference (APWeb), Changsha, August, 2014 (CCF C类会议).

  [8] Jianguang Du, Dandan Song, Lejian Liao, Xin Li, Li Liu, "ReadBehavior: Reading Probabilities Modeling of Tweets via the User's Retweeting Behaviors", in Proceedings of The 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Tainan, Taiwan, May, 2014 (CCF C类会议).

  [9] Tabouche Abdeldjalil, Fan Li, Ruiling Li and Xin Li, “Table-Driven Bus-Based Routing Protocol for Urban Vehicular Ad Hoc Networks”, The 9th International Conference on Wireless Algorithms, Systems, and Applications (WASA'14), Pages:90-101, Haerbin, China, Aug, 2014 (CCF C类会议).

  [10] Nemroud Youssouf, Xin Li*, Fan Li, Hiying Yuan, “Magnetic Field Modeling-based Energy efficient Routing in Wireless Sensor Networks”, in Proceedings of the 32nd IEEE International Performance Computing and Communications Conference (IPCCC 2013), San Diego, California, December 2013 (CCF C类会议).

  [11] Fan Li, Hong Jiang, Yu Wang, Xin Li, Mingzhong Wang, Tabouche Abdeldjalil, “SEBAR: Social Energy BAsed Routing Scheme for Mobile Social Delay Tolerant Networks”, in Proceedings of the 32nd IEEE International Performance Computing and Communications Conference (IPCCC 2013), San Diego, California, December 2013 (Best Paper Award!!!) (CCF C类会议).

  [12] Hongyan Zhang, Xin Li, Xiumei Fan, An Optimal Solution for Round Rotation Time Setting in LEACH,The 8th International Conference on Wireless Algorithms, Systems, and Applications (WASA'13): 366-376, Zhangjia Jie, China, Aug, 2013 (CCF C类会议)

  [13] Peng Li, Lejian Liao, Xin Li,A Hierarchy-based Constraint Dependency Grammar Parsing for Chinese, 2012 Third International Conference on Audio, Language and Image Processing,Page(s): 328 – 332, Shanghai, China, July, 2012.

  [14] X. Li, W. K. Cheung, J. Liu, "On Compressibility and Acceleration of Orthogonal NMF for POMDP Compression", Proceedings of the 1st Asian Conference on Machine Learning (ACML'09), Pages: 248 -262 Nanjing, Nov, 2009 (CCF C类会议).

  [15] X. Li, W. K. Cheung, J. Liu, "Integrating Value Directed Compression and Belief Space Analysis for POMDP Decomposition," Proceedings of 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'06), Pages: 45-51 Hong Kong, Dec, 2006.

  [16] Xin Li, Zhili Wu and Xiaofeng Zhang, “An Adaptation of EPCA to Image Compression and Reconstruction”, Proceedings of 2006 IEEE International Conference on Systems, Man, and Cybernetics, Pages: 856-860 Taipei, Taiwan , Oct., 2006.

  [17] X. Li, W. K. Cheung, J. Liu, "Decomposing Large Scale POMDP Via Belief State Analysis," Proceedings of 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'05), Pages: 428- 434, Compiegne, France, Sept, 2005.

  [18] X. Li, W. K. Cheung, J. Liu, "Towards Solving Large-Scale POMDP Problems via Spatio-Temporal Belief State Clustering," Proceedings of IJCAI-05 Workshop on Reasoning with Uncertainty in Robotics (RUR'05), Pages: 17- 24 Edinburgh, Scotland, July, 2005.

  [19] X. Li, W. K. Cheung, J. Liu, "Solving Large-Scale POMDP Problems Via Belief State Analysis", Technical Report COMP-05-006, Department of Computer Science, Hong Kong Baptist University, June 2005.

  [20] ZY. Zhang, X. Li, JG, Sun, "Research on Constraint-based Scheduling and Its Implementation", Journal 0f Calculator Engineering And Application, Vol.40( 33), Pages: 46-51, 2004. 

承担科研情况

  作为项目负责人、子课题负责人,获得基金支持的项目包括:

  2018.01 - 2021.12 国家自然科学基金面上项目:61772074,项目负责人

  2017.09 - 2020.09 国家重点研发计划,网络空间安全重点专项,**发现与**预测项目,子课题负责人

  2014.01 - 2016.12 国家自然科学基金青年项目:61300178,项目负责人

  2013.01 - 2017.08 国家重点基础研究发展计划(973项目):社交网络分析与网络信息传播,子课题负责人

  2012.01 - 2014.12 教育部博士点新教师基金:20111101120030,项目负责人

  2012.01 - 2013.12 北京理工大学基础研究基金,项目负责人 

  2010.01 - 2011.12 符号计算与知识工程教育部重点实验室对外开放基金项目,项目负责人

  作为主要参与人参与的其他项目还包括:

  自然科学基金重点项目:无源感知网路基础理论与关键技术(61432015)

所获奖励

  2018年, 北京理工大学优秀硕士学位论文(刘琳同学), 指导教师

  2017年, 全国大学生信息安全竞赛三等奖,指导教师

  2016年, 北京理工大学优秀硕士学位论文(陈佳良同学), 指导教师

  2015年, 计算机学院教职工考核A类

  2015年, 中国大学MOOC优秀教师

  2014年, 第三十三届IPCCC大会Best Paper Award

  2014年, 博创杯全国大学生嵌入式物联网设计大赛,华北赛区一等奖,全国总决赛二等奖,指导教师

  

社会兼职

  [1] IEEE, CCF 会员

  [2] The IEEE Intelligent Informatics Bulletin, Assistant Managing Editor (2010-2019)

  [3] IUCC 2015, HENA 2016, CIKM 2017, 2019, AAAI 2018, 2019, IJCAI 2018, 2019, NeurIPS 2019 PC member

  [4] TKDE, TOC, TNNLS, TOIS, TNSM, 电子学报等期刊审稿人

备注

  课题组常年招收博士研究生1人、硕士生2-3人、高年级本科生。欢迎对本人研究方向感兴趣的同学通过Email或电话、短信与我联系。

  欢迎访问个人主页:http://teacher.bit.edu.cn/xinli/