李晨亮

李晨亮

李晨亮,男,博士,武漢大學國家網路安全學院副教授,碩士生導師,武漢大學珞珈青年學者。

基本介紹

  • 中文名:李晨亮
  • 國籍:中國
  • 民族:漢
  • 職業:副教授 
  • 畢業院校:南洋理工大學 
  • 主要成就:頂會 PC Member 
    武漢大學珞珈青年學者 
    南洋理工大學博士 
個人簡介,教育經歷,工作經歷,發表論文,

個人簡介

2013年畢業於新加坡南洋理工大學計算機工程學院,獲博士學位。2013年由武漢大學計算機學院引進,獲得優秀青年骨幹教師啟動資金。2015年入選武漢大學珞珈青年學者。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、2013年2013年畢業於新加坡南洋理工大學計算機工程學院,獲博士學位。2013年由武漢大學計算機學院引進,獲得優秀青年骨幹教師啟動資金。2015年入選武漢大學珞珈青年學者。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;擔任信息檢索學術期刊JASIST(CCF-B類)的編委;擔任中國中文信息學會青年工作委員會委員、社交媒體專委會委員、信息檢索專委會委員。作為骨幹成員參與新加坡教育部科學基金項目1項,新加坡國防部科技項目1項。2016年指導碩士生在CCF-A類會議SIGIR2016上發表長文論文一篇,並獲大會最佳學生論文提名獎(Best Student Paper Award Honorable Mention);獲得SIGIR2017 Outstanding Reviewer Award。

教育經歷

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(軟體)學院,學士

工作經歷

2018/01起: 武漢大學國家網路安全學院, 大數據分析與人工智慧研究所,副教授(兼副所長)
2013/08-2017/12: 武漢大學計算機學院軟體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

發表論文

(* = 通訊作者)
  • 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]
  • A Deep Relevance Model for Zero-Shot Document Filtering.
    Chenliang Li, Wei Zhou, Feng Ji, Yu Duan, Haiqing Chen.
    The 56th Annual Meeting of the Association for Computational Linguistics (ACL'18). Melbourne, Australia. July 2018 [Full paper]
  • 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]
  • A Context-Aware User-Item Representation Learning for Item Recommendation.
    Libing Wu, Cong Quan,Chenliang Li*, Qian Wang, Bolong Zheng.
    ACM Transactions on Information Systems (TOIS).2018 [In Press]
  • 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]
  • 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.
  • Harnessing Online Social Media to Deal with Information Overload.
    Chenliang Li.
    Ph.D Thesis, Nanyang Technological University.2013 (Advisors:Anwitaman Datta&Aixin Sun)

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