Chenliang Li

RESEARCH INTERESTS

• Information Retrieval


• Natural Language Processing


• Statistics Learning


• Data Mining


• Social Media Analysis and Mining

We have set up a Github account, WHUIR, for releasing the implementations relevant to our reseach works

PROFESSIONAL ACTIVITIES

• Editorial Board Member

  Journal of the Association for Information Science and Technology (JASIST)

• Conference Organization

  CIKM 2017 Demo track co-chair, CIKM 2017 session chair (Text Analysis), ADMA 2017 proceedings co-chair, SMP 2017 publicity chair, CCIR 2018 Proceedings & Publicity chair

• Program Committee Member

  AAAI 2019; EMNLP 2018; SIGIR 2018; ACL 2018; IJCAI 2018; WWW 2018; IJCNLP 2017; CIKM 17-18; ACL 2017; SIGIR 2017(Full&Short, Outstanding Reviewer Award), 2016(Short), 2015 (Short); NLPCC 15-18; CCL 15-18; EMNLP 2015; AIRS 14, 16-18; SMP 16-18; ASONAM-SNAA 13-18;

• Journal Reviewer

  ACM TIST; ACM TKDD; ACM TWEB; ACM TOIS; IEEE TKDE; JASIST; Information Processing & Management (IPM); JCST; Neurocomputing; SCIENCE CHINA Information Sciences; Information Sciences; Information Systems; WWWJ; Cognitive Computation (COGN); Neural Networks; Frontiers of Computer Science; Social Network Analysis and Mining (SNAM); Aslib Journal of Information Management (AJIM); IJPRAI;

• Others

  • Visiting Scholar of Alibaba Group (NewRetail Team, Aug 2018 ~ Dec 2018)
  • Visiting Scholar of Alibaba Group (AliMe Team, Nov 2017 ~ Feb 2018)
  • Member of ACM & ACL
  • Member of China Computer Federation
  • Member of ACM SIGIR Beijing Chapter
  • Member of Chinese Information Processing Society of China Technical Committee on Social Media Processing
  • Member of Chinese Information Processing Society of China Technical Committee on Information Retrieval
  • Member of Youth Working Committee, Chinese Information Processing Society of China
  • Research Intern at HP Labs, Singapore. Sept 1st, 2011 ~ Jan 31st, 2012.
  • Visiting Scholar (invited by Prof.Adam Wierzbicki) at the Polish-Japanese Institute of Information Technology (PJIIT), Warsaw, Poland. Sept 13th, 2010 ~ Sept 25th, 2010.

Research Team

• Mr. Cong Quan, PhD 2015.09 (Co-supervised)


• Mr. Yu Duan, Master 2016.09


• Miss. Shiqian Chen, Master 2016.09


• Miss. Yan Qi, Master 2017.09


• Mr. Pei Jiaxin, Bachelor 2015.09


• Miss. Cao Runnan, Bachelor 2015.09


• Mr. Liang Jiahui, Master 2017.09


• Mr. Xu Jiangsheng, Master 2017.09


• Mr. Jin Zesheng, Master 2017.09


• Mr. Niu Xichuan, Master 2018.09

Alumni

• Mr. Haoran Wang, Master 2017 (Baidu Inc.)


• Mr. Jian Xing, Master 2017 (TongHuaShun Inc.)


• Mr. Zhiyong Wu, Bachelor 2017 (PhD at HKU)


• Mr. Zha Daochen, Bachelor 2018 (PhD at TAMU)


• Mr. Yile Chen, Bachelor 2018 (PhD at NTU)


• Mr. Jiahui Ding, Bachelor 2018 (Master at USC)


• Mr. Zhiqian Zhang, Master 2018 (JD.com)

PUBLICATIONS: 

• 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.
  eprint arXiv:1712.02342 [under review]
  
• NEXT: A Neural Network Framework for Next POI Recommendation.
  Zhiqian Zhang, Chenliang Li*, Zhiyong Wu, Aixin Sun, Dengpan Ye, Xiangyang Luo.
  eprint arXiv:1704.04576 [under review]
  
• Multi-label Dataless Text Classification with Topic Modeling.
  Daochen Zha, Chenliang Li*.
  eprint arXiv:1711.01563 [under review]
  
• 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)
  

RESOURCES

• Code of Tweet Segmentation.[Upon request]
  This resource has been used in our previous works: [Li et al. SIGIR'13],[Li et al. SIGIR'12] and [Li et al. CIKM'12].
• Microsoft Web N-Gram Service [Link]
  This resource has been used in our previous works: [Li et al. SIGIR'13],[Li et al. SIGIR'12] and [Li et al. CIKM'12].

EDUCATIONAL BACKGROUND

• Ph.D. School of Computer Engineering, Nanyang Technological University, Singapore. January 2009 ~ December 2012.


• M.Sc. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. August 2007 ~ September 2008.


• B.Eng. Software Engineering, Sichuan University, China. September 2002 ~ June 2006.