中文版

Chenliang Li

Associate Professor
Research Center of Big Data Analysis and Artificial Intelligence (Deputy Director)
School of Cyber Science and Engineering
Wuhan University, China

Email: cllee [at] whu [dot] edu [dot] cn

One full paper has been accepted by KDD 2020.
Two full papers and one short paper have been accepted by SIGIR 2020!
Three full papers have been accepted by ACL 2020.
Four research papers have been accepted by ACM TIST, AAAI 2020, IPM and WSDM 2020 respectively.


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

    Information Processing and Management (IPM)
    Journal of the Association for Information Science and Technology (JASIST)
    Data Analysis and Knowledge Discovery (A Chinese Core Journal, CCF-C Rank)

  • 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, CCL 2019 Publicity co-chair

  • Program Committee Member

    WSDM 2021; EMNLP 2020; AACL 2020; CIKM 2020; SIGIR 2020; JCDL 2020; ACL 2020; IJCAI 2020; AAAI 2020; WSDM 2020; EMNLP 2019; CIKM 2019 (SPC); ACL 2019; IJCAI 2019; SIGIR 2019; NAACL-HLT 2019; 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 15-19; 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; IEEE TMM; IEEE TNNLS; IEEE TIFS; ACM TALLIP; ACM TDS; IEEE TOII; JASIST; Information Processing & Management (IPM, 2019 Best Reviewer); 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; Information Processing Letters (IPL); FCS

  • Others

    • Principle Investigator of Alibaba AIR Project (Search BU, Aug 2019 ~ Aug 2020)
    • Visiting Scholar of Alibaba Group (NewRetail BU, 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 Technical Committee on Social Media Processing, Chinese Information Processing Society of China
    • Member of Technical Committee on Information Retrieval, Chinese Information Processing Society of China
    • 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. Xichuan Niu, Master 2018.09 (Co-supervised)

  • Mr. Cheng Zhao, Master 2018.09 (Co-supervised)

  • Mr. Junhui Long, Master 2018.09

  • Miss. Qian Liu, Master 2019.09

  • Miss. Yiyu Liu, Master 2019.09

  • Mr. HongTao Wu, Master 2019.09

  • Mr. Minghui Xu, Bachelor 2017.09

  • Mr. Xinyu Zou, Master 2020.09

  • Miss. Rui Zhu, Master 2020.09

  • Zitong Wang, Master 2020.09

  • Xudong Ren, Master 2020.09

  • Tao Zhou, Master 2020.09

Alumni

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

  • Mr. Jian Xing, Master 2017 (NetEase 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 (MS at USC)

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

  • Mr. Jiaxin Pei, Bachelor 2019 (PhD at UMich)

  • Miss. Runnan Cao, Bachelor 2019 (MS at CAS)

  • Miss. Shiqian Chen, Master 2019 (Alibaba)

  • Mr. Yu Duan, Master 2019 (Alibaba)

  • Mr. Jiangsheng Xu, Master 2019 (Opera Software)

  • Mr. Jiahui Liang, Master 2019 (JD.com)

  • Mr. Zesheng Jin, Master 2019 (China Mobile)

  • Miss. Yan Qi, Master 2020 (JD.com)

  • Mr. Bulou Liu, Bachelor 2020 (PhD at Tsinghua)

  • Mr. Canwen Xu, Bachelor 2020 (PhD at UCSD)

  • Mr. Feiyang Wang, Bachelor 2020 (MS at CMU)

  • Mr. Cong Quan, PhD 2020 (Huawei)

PUBLICATIONS: 

(*=corresponding author, †=Equal Contribution)
  • A Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce.
    Xichuan Niu, Bofang Li, Chenliang Li*, Rong Xiao, Haochuan Sun, Hongbo Deng, Zhenzhong Chen.
    The 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'20). San Diego, USA. August 2020 [Full paper]
  • CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network.
    Cheng Zhao, Chenliang Li*, Rong Xiao, Hongbo Deng, Aixin Sun.
    The 43rd Annual International ACM SIGIR Conference (SIGIR'20). Xi'an, China. July 2020 [Full paper]
  • ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance.
    Zhihong Chen, Rong Xiao, Chenliang Li*, Gangfeng Ye, Haochuan Sun, Hongbo Deng.
    The 43rd Annual International ACM SIGIR Conference (SIGIR'20). Xi'an, China. July 2020 [Full paper]
  • A Re-visit of Popularity Baseline in Recommender Systems.
    Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li.
    The 43rd Annual International ACM SIGIR Conference (SIGIR'20). Xi'an, China. July 2020 [Short paper]
  • MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization.
    Canwen Xu†, Jiaxin Pei†, Hongtao Wu, Yiyu Liu, Chenliang Li*
    The 58th Annual Meeting of the Association for Computational Linguistics (ACL'20). Seattle, Washington, USA. July 2020 [Full paper]
  • Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders.
    Yu Duan†, Canwen Xu†, Jiaxin Pei†, Jialong Han, Chenliang Li*
    The 58th Annual Meeting of the Association for Computational Linguistics (ACL'20). Seattle, Washington, USA. July 2020 [Full paper]
  • Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification.
    Hao Tang, Donghong Ji, Chenliang Li, Qiji Zhou
    The 58th Annual Meeting of the Association for Computational Linguistics (ACL'20). Seattle, Washington, USA. July 2020 [Full paper]
  • PARS: Peer-aware Recommender System.
    Huiqiang Mao, Yanzhi Li, Chenliang Li, Di Chen, Xiaoqing Wang and Yuming Deng
    The Web Conference 2019 (WWW'20). Taipei, Taiwan, China. April 2020 [Short paper]
  • CASE: Context-­Aware Semantic Expansion.
    Jialong Han, Aixin Sun, Haisong Zhang, Chenliang Li, Shuming Shi
    Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI'20). Houston, Texas, USA. New York, USA 2020 [Full paper]
  • Heterogeneous Graph-based Joint Representation Learning for Users and POIs in Location-based Social Network.
    Yaqiong Qiao, Xiangyang Luo, Chenliang Li, Hechan Tian, Jiangtao Ma
    Information Processing and Management (IPM). 2020 [In Press]
  • 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]
  • Adversarial Attacks on Deep Learning Models in Natural Language Processing: A Survey.
    Wei Emma Zhang, Quan Z.Sheng, Ahoud Alhazmi, Chenliang Li
    ACM Transactions on Intelligent Systems and Technology (TIST). 2020 [In Press]
  • Targeted Sentiment Analysis: A Data-Driven Categorization.
    Jiaxin Pei, Aixin Sun, Chenliang Li
    Arxiv Preprint
  • 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, Arxiv Preprint]
  • A Survey on Deep Learning for Named Entity Recognition.
    Jing Li, Aixin Sun, Jianglei Han, Chenliang Li.
    IEEE Transactions on Knowledge and Data Engineering (TKDE). 2020
  • 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). 37(1):9:1-9:37, 2019
  • 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). 31(7):1383-1396, 2019
  • 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). 37(2):22:1-22:29, 2019
  • 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). 14(2):314-333, 2020
  • Multi-label Dataless Text Classification with Topic Modeling.
    Daochen Zha, Chenliang Li*.
    Knowledge and Information Systems (KAIS). 61(1):137-160, 2019
  • Searching Activity Trajectory with Keywords.
    Bolong Zheng, Kai Zheng, Peter Scheuermann, Xiaofang Zhou, Quoc Viet Hung Nguyen, Chenliang Li.
    World Wide Web Journal. 22(3):967-1000, 2019
  • 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

 Created: 11/2014, Last Modified: 04/2020, by Chenliang.