李晨亮，男，博士，武汉大学国家网络安全学院教授、博士生导师。个人主页：http://lichenliang.net/

2013年毕业于新加坡南洋理工大学计算机工程学院,获博士学位。研究兴趣包括信息检索、数据挖掘(文本挖掘)、自然语言处理、机器学习和社交媒体分析。其主要科研成果已先后发表在国际顶级学术期刊和会议上，包括IEEE TKDE、SIGIR、ACL、EMNLP、AAAI、CIKM、TOIS、JASIST等。应邀担任IEEE TKDE、ACM TOIS、ACM TWeb、 ACM TIST、JASIST、WWWJ、IPM等国际重要学术期刊审稿人；应邀担任SIGIR、ACL、WWW、CIKM、EMNLP、AAAI、IJCAI等国际学术会议(Senior) PC Member；应邀担任CIKM 2017 Demo track co-chair、SMP 2017 Publicity chair、ADMA 2017 Proceedings co-chair、CCIR 2018 Publicity & Proceedings chair、CCL 2019 Publicity chair、ASIS&T AP 2020 Sponsorship co-chair、ICDM 2021 Panel co-chair；担任信息检索国际权威学术期刊ACM TOIS (CCF-A类)和ACM TALLIP的副主编、JASIST(CCF-B类)和IPM(CCF-B类)的编委、数据分析与知识发现 (中文核心期刊, CCF-C类中文期刊)的编委、Data and Information Management的副主编；担任中国中文信息学会青年工作委员会副主任、社交媒体专委会委员、信息检索专委会委员、情感计算专委会执行委员；北京智源人工智能研究院青源会会员；中国计算机学会信息系统专委会执行委员；中国科技情报学会信息技术专委会委员。曾获得SIGIR2016最佳学生论文提名奖（Best Student Paper Award Honorable Mention）、SIGIR2017 Outstanding Reviewer Award、IPM 2018/2019 Reviewer Award、ACM武汉分会及湖北计算机学会新星奖；曾入选2019年度武汉黄鹤英才计划和2021年度湖北省青年拔尖人才计划。，。

目前开始招收硕士研究生，要求对学术研究有一定兴趣，且具备扎实的计算机，数学和英语能力。读研期间生活津贴从优，对于勤奋和能力突出的同学，将推荐其去国外高校研究组进行学习交流。同时欢迎有兴趣的本科生提前参与相关研究工作，为就业或继续深造打好基础 。

信息检索、数据挖掘(文本挖掘)、自然语言处理、机器学习和社交媒体分析

2009/01-2012/12: 新加坡南洋理工大学计算机工程学院, 博士
2007/07-2008/09: 新加坡南洋理工大学电子电器工程学院, 硕士
2002/09-2006/06: 四川大学计算机(软件)学院, 学士

2021/05-至今:      武汉大学国家网络安全学院, 网络空间安全系，教授

2018/01-2021/04: 武汉大学国家网络安全学院, 大数据分析与人工智能研究所，副教授（兼副所长）

2013/08-2017/12: 武汉大学计算机学院软件工程国家重点实验室, 副教授、主任助理

2013/01-2013/08: 新加坡南洋理工大学计算机工程学院, 副研究员

2011/09-2012/01: 惠普实验室新加坡分院, 研究实习生

本科生/硕士生《专业英语》

本科生《模式识别》

本科生/硕士生《机器学习》

硕士生《信息检索》

• Context-aware Deep Model for Joint Mobility and Time Prediction.                                
  Yile Chen, Cheng Long, Gao Cong, Chenliang Li.                                
  13th ACM International Conference on Web Search and Data Mining (WSDM'20). Houston, Texas, USA. Feb 2020 [Full paper]
  

• A Deep Neural Framework for Sales Forecasting in E-Commerce.                                    
  Yan Qi, Chenliang Li*, Han Deng, Min Cai, Yunwen Qi, Yuming Deng.                                    
  The 28th ACM International Conference on Information and Knowledge Management (CIKM'19). Beijing, China. Nov 2019 [Full paper]
  

• Exploiting Multiple Embeddings for Chinese Named Entity Recognition.                                    
  Canwen Xu, Feiyang Wang, Jialong Han, Chenliang Li*.                                    
  The 28th ACM International Conference on Information and Knowledge Management (CIKM'19). Beijing, China. Nov 2019 [Short paper]
  

• Cross-Domain Recommendation via Preference Propagation GraphNet.                                    
  Cheng Zhao, Chenliang Li*, Cong Fu.                                    
  The 28th ACM International Conference on Information and Knowledge Management (CIKM'19). Beijing, China. Nov 2019 [Short paper]

• A Review-Driven Neural Model for Sequential Recommendation.                                    
  Chenliang Li,  Xichuan Niu, Xiangyang Luo, Zhenzhong Chen, Cong Quan                                    
  The 28th International Joint Conference on Artificial Intelligence (IJCAI'19). Macao, China. August 2019 [Full paper]

• A Capsule Network for Recommendation and Explaining What You Like and Dislike.                                    
  Chenliang Li, Cong Quan, Peng Li, Yunwei Qi, Yuming Deng and Libing Wu.                                    
  The 42nd Annual International ACM SIGIR Conference (SIGIR'19). Paris, France. July 2019 [Full paper]
  

• DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets.                                    
  Canwen Xu, Jing Li, Xiangyang Luo, Jiaxin Pei, Chenliang Li, Donghong Ji.                                    
  The Web Conference 2019 (WWW'19). San Francisco, USA. May 2019 [Short paper]

• Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding.                                    
  Peifeng Wang, Jialong Han, Chenliang Li, Rong Pan.                                    
  33rd AAAI Conference on Artificial Intelligence (AAAI'19). Honolulu, USA. Jan 2019 [Full paper]

• Review-Driven Answer Generation for Product-Related Questions in E-Commerce.                                    
  Shiqian Chen, Chenliang Li*, Feng Ji, Wei Zhou, Haiqing Chen.                                    
  12th ACM International Conference on Web Search and Data Mining (WSDM'19). Melbourne, Australia. Feb 2019 [Full paper]
  

• S2SPMN:A Simple and Effective Framework for Response Generation with Relevant Information.                                    
  Jiaxin Pei, Chenliang Li*.                                    
  The 2018 Conference on Empirical Methods on Natural Language Processing (EMNLP'18). Brussels, Belgium. Nov 2018 [Short paper]

• PARL: Let Strangers Speak Out What You Like.                                    
  Libing Wu, Cong Quan, Chenliang Li*, Donghong Ji.                                    
  The 27th ACM International Conference on Information and Knowledge Management (CIKM'18). Lingotto, Turin, Italy. Oct 2018 [Full paper]
  

• Dataless Text Classification: A Topic Modeling Approach with Document Manifold.                                    
  Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang, Chenliang Li*.                                    
  The 27th ACM International Conference on Information and Knowledge Management (CIKM'18). Lingotto, Turin, Italy. Oct 2018 [Full paper]

• Seed-Guided Topic Model for Document Filtering and Classification.                            
  Chenliang Li, Shiqian Chen, Jian Xing, Aixin Sun, Zongyang Ma.                            
  ACM Transactions on Information Systems (TOIS).2018 [In Press]

• Pair-Linking for Collective Entity Disambiguation: Two Could Be Better Than All.                                    
  Minh C. Phan, Aixin Sun, Yi Tay, Jialong Han, Chenliang Li.                                   
  IEEE Transactions on Knowledge and Data Engineering (TKDE). 2018 [In Press]
  

• Deep Learning in Social Computing.                                    
  Xin Zhao, Chenliang Li.                                   
  Deep Learning in Natural Language Processing, Springer. 2018 [Book Chapter]

• NEXT: A Neural Network Framework for Next POI Recommendation.                                    
  Zhiqian Zhang, Chenliang Li*, Zhiyong Wu, Aixin Sun, Dengpan Ye, Xiangyang Luo.                                    
  Frontiers of Computer Science, Springer (FCS). 2018 [In Press]

• Multi-label Dataless Text Classification with Topic Modeling.                                    
  Daochen Zha, Chenliang Li*.                                    
  Knowledge and Information Systems (KAIS). 2018 [In Press]

• A Deep Relevance Model for Zero-Shot Document Filtering.
  Chenliang Li, Wei Zhou, Feng Ji, Yu Duan and Haiqing Chen.
  The 56th Annual Meeting of the Association for Computational Linguistics (ACL'18), 2018 [Full paper]
  

• Searching Activity Trajectory with Keywords.
  Bolong Zheng, Kai Zheng, Peter Scheuermann, Xiaofang Zhou, Quoc Viet Hung Nguyen, Chenliang Li.
  World Wide Web Journal, 2018 [In Press]
  

• InstantCryptoGram: Secure Image Retrieval Service.
  Minghui Li, Mingxue Zhang, Qian Wang, Sherman S.M.Chow, Minxin Du, Yanjiao Chen, Chenliang Li.
  IEEE INFOCOM 2018. Honolulu. April 2018 [Full paper]
  

• Modeling Language Discrepancy for Cross-Lingual Sentiment Analysis.
  Qiang Chen, Chenliang Li*, Wenjie Li.
  The 26th ACM International Conference on Information and Knowledge Management (CIKM'17). Singapore. Nov 2017 [Full paper]
  

• NeuPL: Attention-based Semantic Matching and Pair-Linking for Entity Disambiguation.
  Minh C. Phan, Aixin Sun, Yi Tay, Jialong Han, Chenliang Li.
  The 26th ACM International Conference on Information and Knowledge Management (CIKM'17). Singapore. Nov 2017 [Full paper]
  

• Enhancing Topic Modeling for Short Texts with Auxiliary Word Embeddings.
  Chenliang Li, Yu Duan, Haoran Wang, Zhiqian Zhang, Aixin Sun, Zongyang Ma.
  ACM Transactions on Information Systems (TOIS). 36(2):11:1-11:30, 2017
  

• Extracting Fine-grained Location with Temporal Awareness in Tweets: A Two-Stage Approach.
  Chenliang Li, Aixin Sun.
  Journal of the  Association for Information Science and Technology (JASIST, IF=2.452). 68(7):1652-1670, 2017
  

• Effective Document Labeling with Very Few Seed Words: A Topic Model Approach.
  Chenliang Li, Jian Xing, Aixin Sun, Zongyang Ma.
  The 25th ACM International Conference on Information and Knowledge Management (CIKM'16). Indianapolis, USA. Oct 2016 [Full paper]
  

• Topic Modeling for Short Texts with Auxiliary Word Embeddings.
  Chenliang Li, Haoran, Wang, Zhiqian Zhang, Aixin Sun, Zongyang Ma.
  The 39th Annual International ACM SIGIR Conference (SIGIR'16). Pisa, Italy. July 2016 [Full paper; Best Student Paper Award Honorable Mention]
  

• Tweet Segmentation and Its Application to Named Entity Recognition.
  Chenliang Li, Aixin Sun, Jianshu Weng, Qi He.
  IEEE Transactions on Knowledge and Data Engineering (TKDE). 27(2):558-570. 2015 [Featured Spotlight Paper]
  

• Fine-Grained Location Extraction from Tweets with Temporal Awareness.
  Chenliang Li, Aixin Sun.
  The 37th Annual International ACM SIGIR Conference (SIGIR'14). Gold Coast, Australia. July 2014 [Full paper]
  

• Exploiting Hybrid Contexts for Tweet Segmentation.
  Chenliang Li, Aixin Sun, Jianshu Weng, Qi He.
  The 36th Annual International ACM SIGIR Conference (SIGIR'13). Dublin, Ireland. July 2013 [Full paper]
  

• TSDW: Two-Stage Word Sense Disambiguation Using Wikipedia.
  Chenliang Li, Aixin Sun, Anwitaman Datta.
  Journal of the American Society for Information Science and Technology 64(6) (JASIST, IF=2.113). 2013
  

• Twevent: Segment-based Event Detection from Tweets.
  Chenliang Li, Aixin Sun, Anwitaman Datta.
  The 21st ACM International Conference on Information and Knowledge Management (CIKM'12). Maui, USA. Oct 2012 [Full paper]
  

• TwiNER: Named Entity Recognition in Targeted Twitter Stream.
  Chenliang Li, Jianshu Weng, Qi He, Yuxia Yao, Anwitaman Datta, Aixin Sun and Bu-Sung Lee.
  The 35th Annual International ACM SIGIR Conference (SIGIR'12). Portland, Oregon, USA. Aug 2012 [Full paper]
  

• Mining Latent Relations in Peer-Production Environments: A Case Study with Wikipedia Article Similarity and Controversy.
  Chenliang Li, Anwitaman Datta, Aixin Sun.
  Social Network Analysis and Mining                                    (SNAM), Springer. 2012
  

• Semantic Tag Recommendation Using Concept Model.
  Chenliang Li, Anwitaman Datta, Aixin Sun.
  The 34th Annual International ACM SIGIR Conference (SIGIR'11). Beijing, China. July 2011 [Poster]
  

• A Generalized Framework for Word Sense Disambiguation based on Wikipedia.
  Chenliang Li, Aixin Sun, Anwitaman Datta.
  The 33rd European Conference on Information Retrieval (ECIR'11). Dublin, Ireland. Apr.2011 [Full paper]-Nominated for best student paper award.