教師名錄

李晨亮

郵          箱:lichenliang.whu at gmail.com

職          稱:教授

辦公室地址:

實驗室地址:

個人簡介

李晨亮,男,博士,88858cc永利官网教授、博士生導師。個人主頁:http://lichenliang.net/


2013年畢業于新加坡南洋理工大學計算機工程學院,獲博士學位。研究興趣包括信息檢索、數據挖掘(文本挖掘)、自然語言處理、機器學習和社交媒體分析。其主要科研成果已先後發表在國際頂級學術期刊和會議上,包括IEEE TKDE、SIGIR、ACL、EMNLP、AAAI、CIKM、TOIS、JASIST等。應邀擔任IEEE TKDE、ACM TOIS、ACM TWeb、 ACM TIST、JASIST、WWWJ、IPM等國際重要學術期刊審稿人;應邀擔任SIGIR、ACL、WWW、CIKM、EMNLP、AAAI、IJCAI等國際學術會議(Senior) PC Member;應邀擔任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;擔任信息檢索國際權威學術期刊ACM TOIS (CCF-A類)和ACM TALLIP的副主編、JASIST(CCF-B類)和IPM(CCF-B類)的編委、數據分析與知識發現 (中文核心期刊, CCF-C類中文期刊)的編委、Data and Information Management的副主編;擔任中國中文信息學會青年工作委員會副主任、社交媒體專委會委員、信息檢索專委會委員、情感計算專委會執行委員;北京智源人工智能研究院青源會會員;中國計算機學會信息系統專委會執行委員、術語專委會委員;中國科技情報學會信息技術專委會委員。曾獲得SIGIR2016最佳學生論文提名獎(Best Student Paper Award Honorable Mention)、SIGIR2017 Outstanding Reviewer Award、IPM 2018/2019 Reviewer Award、ACM武漢分會及湖北計算機學會新星獎,2022年“錢偉長中文信息處理科學技術獎-青年創新獎”一等獎;曾入選2019年度武漢黃鶴英才計劃和2021年度湖北省青年拔尖人才計劃;學院數據智能實驗室負責人,實驗室主頁: https://www.dancelab.fun/


研究方向

信息檢索、數據挖掘(文本挖掘)、自然語言處理、機器學習和社交媒體分析

教育背景

2009/01-2012/12: 新加坡南洋理工大學計算機工程學院, 博士

2007/07-2008/09: 新加坡南洋理工大學電子電器工程學院, 碩士

2002/09-2006/06: 四川大學計算機(軟件)學院, 學士

工作經驗

2021/05-至今: 88858cc永利官网, 網絡空間安全系,教授

2018/01-2021/04: 88858cc永利官网, 大數據分析與人工智能研究所,副教授(兼副所長)

2013/08-2017/12:88858cc永利官网計算機學院軟件工程國家重點實驗室,副教授、主任助理

2013/01-2013/08:新加坡南洋理工大學計算機工程學院,副研究員

2011/09-2012/01:惠普實驗室新加坡分院,研究實習生

教授課程

本科生/碩士生《專業英語》

本科生《模式識别》

本科生/碩士生《機器學習》

碩士生《信息檢索》

發表論文

  • 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 Duanand 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.

課題科研

研究團隊

獲獎信息

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