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

  ACM Transactions on Information Systems (TOIS) - Associate Editor
  ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP) - Associate Editor
  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

  YSSNLP 2021 PC co-chair, ICDM 2021 Panel co-chair, ASIS&T AP 2020 Sponsorship co-chair, 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, CCAC 2022 Student Panel co-chair, CCAC 2023 Sponsorship co-chair, YSSNLP 2023 Sponsorship co-chair, WSDM 2023 Session chair (Recommender Systems)

• Program Committee Member

  CIKM 2024 (SPC); RecSys 2024 (SPC); KDD 2024; COLM 2024; SIGIR 2024 (SPC); IJCAI 2024 (SPC); UMAP 2024; WWW 2024 (AC); WSDM 2024; RecSys 2023 (SPC); KDD 2023; SIGIR 2023 (SPC); IJCAI 2023 (SPC); WWW 2023; AAAI 2023; WSDM 2022; EMNLP 2022; COLING 2022 (AC); CIKM 2022; SIGIR 2022; KDD 2022; ACL 2022; IJCAI 2022; AAAI 2022 (SPC); WWW 2022; WSDM 2022; CIKM 2021; EMNLP 2021; ACL 2021; SIGIR 2021; IJCAI 2021 (SPC); NAACL 2021; WSDM 2021; AAAI 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);

• Journal Reviewer

  IEEE TPAMI; ACM TIST; ACM TKDD; ACM TWEB; ACM TOIS; ACM CSUR; IEEE TKDE; IEEE TMM; IEEE TNNLS; IEEE TIFS; ACM TALLIP; ACM TDS; IEEE TOII; JASIST; Information Processing & Management (IPM, 2018/2019 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

  • Principal Investigator of CCF-Ant Research Project for Green Computing (Feb 2023 ~ Jan 2024)
  • Principal Investigator of Alibaba Collaboration Project (Ads BU, Sep 2022 ~ Sep 2023)
  • Principal Investigator of Antgroup Collaboration Project (Search BU, Aug 2021 ~ Aug 2022)
  • Principal Investigator of Kuaishou Collaboration Project (Recommendation Algorithm Team, Oct 2020 ~ Oct 2021)
  • Principal Investigator of XiaoMi Collaboration Project (AI Lab, Oct 2020 ~ Oct 2021)
  • Principal 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
  • Executive Member of Technical Committee on Information Retrieval, Chinese Information Processing Society of China
  • Deputy Director of Youth Working Committee, Chinese Information Processing Society of China
  • Executive Board Member of Technical Committee on Affect Computing, 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. Zitong Wang, Master 2020.09


• Mr. Yu Tian, Master 2021.09


• Mr. Zuoli Tang, PhD 2021.09


• Miss. Yihua Wen, Master 2021.09


• Miss. Shirui Hu, Master 2022.09


• Mr. Xuekong Xu, Master 2022.09


• Mr. Zihao Li, PhD 2022.09


• Mr. Kui Liu, Master 2023.09


• Mr. Jiahua Zhang, Master 2023.09


• Miss. Na Li, Master 2023.09


• Mr. Yuqing Yu, PhD 2023.09


• Miss. Lijin Wang, Master 2023.09

Alumni

• Mr. Haoran Wang, Master 2017 (JD)


• 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)


• Mr. Junhui Long, Master 2021 (Bank of China)


• Miss. Qian Liu, Master 2022 (The Red Book)


• Miss. Yiyu Liu, Master 2022


• Mr. HongTao Wu, Master 2022 (ByteDance)


• Mr. Xudong Ren, Master 2022 (JD)


• Mr. Tao Zhou, Master 2022 (PDD)


• Mr. Siqi Lai, Bachelor 2022 (PhD at HKUST)


• Mr. Ziyi Chen, Bachelor 2022 (Master at UIUC)


• Mr. Yanchong Zheng, Bachelor 2022 (Master at Rice)


• Mr. Yuhao Yang, Bachelor 2022 (PhD at HKU)


• Mr. Xinyu Zou, Master 2023 (AntGroup)


• Miss. Rui Zhu, Master 2023 (JD)

PUBLICATIONS: 

• Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation.
  Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian Davison.
  The 47th Annual International ACM SIGIR Conference (SIGIR'24). July, 2024 [Full paper]
  
• Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset.
  Zhaoxin Huan, Ke Ding, Ang Li, Xiaolu Zhang, Xu Min, Yong He, Liang Zhang, Jun Zhou, Linjian Mo, Jinjie Gu, Zhongyi Liu, Wenliang Zhong, Guannan Zhang, Chenliang Li, Fajie Yuan.
  The 47th Annual International ACM SIGIR Conference (SIGIR'24). July, 2024 [Resource paper]
  
• Toward Bias-Agnostic Recommender Systems: A Universal Generative Framework.
  Zhidan Wang, Lixin Zou*, Chenliang Li, Shuaiqiang Wang, Xu Chen, Dawei Yin, Weidong Liu
  ACM Transactions on Information Systems (TOIS) 2024 [In Press]
  
• Disentangle Interest Trend and Diversity for Sequential Recommendation.
  Zihao Li, Yunfan Xie, Wei Emma Zhang, Pengfei Wang, Lixin Zou, Fei Li, Xiangyang Luo, Chenliang Li*.
  Information Processing and Management (IPM). 2024 [In Press]
  
• LT$^2$R: Learning to Online Learning to Rank for Web Search .
  Xiaokai Chu, Lixin Zou, Chenliang Li, Jiashu Zhao, Changying Hao, Shuaiqiang Wang, Dawei Yin.
  IEEE International Conference on Data Engineering (ICDE'24). April 2024 [Full paper]
  
• Dependency Structure-Enhanced Graph Attention Networks for Event Detection.
  Qizhi Wan, Changxuan Wan, Keli Xiao, Kun Lu, Chenliang Li, Xiping Liu, Dexi Liu.
  Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI'24). Feb 2024 [Full paper]
  
• Unified Visual Preference Learning for User Intent Understanding.
  Yihua Wen, Si Chen, Yu Tian, Wanxian Guan, Pengjie Wang, Hongbo Deng, Jian Xu, Bo Zheng, Zihao Li, Lixin Zou*, Chenliang Li*.
  17th ACM International Conference on Web Search and Data Mining (WSDM'24). March 2024 [Full paper]
  
• Contextual MAB Oriented Embedding Denoising for Sequential Recommendation.
  Zhichao Feng, Pengfei Wang, Kaiyuan Li, Chenliang Li, Shangguang Wang.
  17th ACM International Conference on Web Search and Data Mining (WSDM'24). March 2024 [Full paper]
  
• Beyond Co-occurrence: Multi-modal Session-based Recommendation.
  Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Liang Yang, Hongfei Lin*
  IEEE Transactions on Knowledge and Data Engineering (TKDE) 2023 [In Press]
  
• Pre-Training Across Different Cities for Next POI Recommendation.
  Ke Sun, Tieyun Qian*, Chenliang Li, Xuan Ma, Qing Li, Ming Zhong, Yuanyuan Zhu, Mengchi Liu.
  ACM Transactions on the Web(TWeb) 2023.
  
• Bi-Preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation.
  Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Yuan Lin, Hongfei Lin*
  ACM Transactions on Information Systems (TOIS) 2023 [In Press]
  
• Twitter User Geolocation Based on Heterogenous Relationship Modeling and Representation Learning.
  Yaqiong Qiao, Xiangyang Luo, Jiangtao Ma, Meng Zhang, Chenliang Li.
  Information Sciences (INS). 2023 [In Press]
  
• Joint Document-Level Event Extraction via Token-Token Bidirectional Event Completed Graph.
  Qizhi Wan, Changxuan Wan, Keli Xiao, Dexi Liu, Chenliang Li, Bolong Zheng, Xiping Liu, Rong Hu.
  The 61st Annual Meeting of the Association for Computational Linguistics (ACL'23). July 9-14, Toronto, Canada, 2023 [Full paper]
  
• DiffuRec: A Diffusion Model for Sequential Recommendation.
  Zihao Li, Aixin Sun, Chenliang Li*
  ACM Transactions on Information Systems (TOIS) 2023 [In Press]
  Arxiv Preprint
• Leveraging Event Schema to Ask Clarifying Questions for Conversational Legal Case Retrieval.
  Bulou Liu, Yiran Hu, Qingyao Ai, Yiqun Liu, Yueyue Wu, Chenliang Li, Weixing Shen.
  the 32nd ACM International Conference on Information and Knowledge Management (CIKM'23). Oct 23-27, 2023 [Full paper]
  
• Multi-Scenario Ranking with Adaptive Feature Learning.
  Yu Tian, Bofang Li, Si Chen, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng, Qian Wang, Chenliang Li*.
  The 46th Annual International ACM SIGIR Conference (SIGIR'23). July 23-27, 2023 [Full paper]
  
• Towards Multi-Interest Pre-training with Sparse Capsule Network.
  Zuoli Tang, Lin Wang, Lixin Zou*, Xiaolu Zhang, Jun Zhou, Chenliang Li*.
  The 46th Annual International ACM SIGIR Conference (SIGIR'23). July 23-27, 2023 [Full paper]
  
• Poisoning Self-supervised Learning Based Sequential Recommendations.
  Yanling Wang, Yuchen Liu, Qian Wang*, Cong Wang, Chenliang Li.
  The 46th Annual International ACM SIGIR Conference (SIGIR'23). July 23-27, 2023 [Full paper]
  
• Beyond Two-Tower: Attribute Guided Representation Learning for Candidate Retrieval.
  Hongyu Shan, Qishen Zhang*, Zhongyi Liu, Guannan Zhang, Chenliang Li*.
  The Web Conference 2023 (WWW'23). Austin, Texas, USA. April 2023 [Full paper]
  
• Investigating Conversational Agent Action in Legal Case Retrieval.
  Bulou Liu, Yiran Hu, Yueyue Wu, Yiqun Liu, Fan Zhang, Chenliang Li, Min Zhang, Shaoping Ma and Weixing Shen.
  The 45th European Conference on Information Retrieval (ECIR) 2023 [Full Paper]
  
• A Critical Study on Data Leakage in Recommender System Offline Evaluation.
  Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li.
  ACM Transactions on Information Systems (TOIS) 2022 [In Press]
  
• Dynamic Global Structure Enhanced Multi-channel Graph Neural Network for Session-based Recommendation.
  Xiaofei Zhu, Gu Tang, Pengfei Wang, Chenliang Li, Jiafeng Guo, Stefan Dietze.
  Information Sciences (INS). 2022 [In Press]
  
• On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data and Training.
  Hao Fei, Tat-Seng Chua, Chenliang Li, Donghong Ji, Meishan Zhang, Yafeng Ren.
  ACM Transactions on Information Systems (TOIS) 2022 [In Press]
  
• Adaptive Feature Discrimination and Denoising for Asymmetric Text Matching.
  Yan Li, Chenliang Li, Junjun Guo.
  The 29th International Conference on Computational Linguistics (COLING'22). 2022 [Full Paper]
  
• Cross-Domain Product Search with Knowledge Graph.
  Rui Zhu, Yiming Zhao, Wei Qu, Zhongyi Liu, Chenliang Li*.
  The 31st ACM International Conference on Information and Knowledge Management (CIKM'22). 2022 [Full Paper]
  
• Lightweight Unbiased Multi-teacher Ensemble for Review-based Recommendation.
  Guipeng Xv, Xinyi Liu, Chen Lin*, Hui Li, Chenliang Li, Zhenhua Huang.
  The 31st ACM International Conference on Information and Knowledge Management (CIKM'22). 2022 [Short Paper]
  
• Query Generation and Buffer Mechanism: Towards a Better Conversational Agent for Legal Case Retrieval.
  Bulou Liu, Yueyue Wu, Fan Zhang, Yiqun Liu*, Zhihong Wang, Chenliang Li, Min Zhang, Shaoping Ma.
  Information Processing and Management (IPM). 2022 [In Press]
  
• GAFM: A Knowledge Graph Completion Method Based on Graph Attention Faded Mechanism.
  Jiangtao Ma, Duanyang Li, Haodong Zhu*, Chenliang Li, Qiuwen Zhang, Yaqiong Qiao.
  Information Processing and Management (IPM). 2022 [In Press]
  
• Do Loyal Users Enjoy Better Recommendations? Understanding Recommender Performance from a Time Perspective.
  Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li.
  The 8th ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR'22). 2022 [Full paper]
  
• Multi-Behavior Hypergraph-Enhanced Transformer for Next-Item Recommendation.
  Yuhao Yang, Chao Huang*, Lianghao Xia, Yuxuan Liang, Yanwei Yu, Chenliang Li.
  The 28th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'22). 2022 [Full paper]
  
• Inheriting the Wisdom of Predecessors: A Multiplex Cascade Framework for Unified Aspect-based Sentiment Analysis.
  Hao Fei, Fei Li, Chenliang Li, Shengqiong Wu, Jingye Li, Donghong Ji.
  The 31st International Joint Conference on Artificial Intelligence (IJCAI'22). 2022 [Full paper]
  
• Global Inference with Explicit Syntactic and Discourse Structures for Dialogue-Level Relation Extraction.
  Hao Fei, Fei Li, Jingye Li, Shengqiong Wu, Chenliang Li, Donghong Ji.
  The 31st International Joint Conference on Artificial Intelligence (IJCAI'22). 2022 [Full paper]
  
• Is News Recommendation a Sequential Recommendation Task?.
  Chuhan Wu, Fangzhao Wu*, Tao Qi, Chenliang Li, Yongfeng Huang.
  The 45th Annual International ACM SIGIR Conference (SIGIR'22). July 11-15, 2022 [Short paper]
  
• Price DOES Matter! Modeling Price and Interest Preferences in Session-based Recommendation.
  Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin*.
  The 45th Annual International ACM SIGIR Conference (SIGIR'22). July 11-15, 2022 [Full paper]
  
• An Attribute-Driven Mirroring Graph Network for Session-based Recommendation.
  Siqi Lai, Erli Meng, Fan Zhang*, Chenliang Li, Bin Wang, Aixin Sun.
  The 45th Annual International ACM SIGIR Conference (SIGIR'22). July 11-15, 2022 [Full paper]
  
• Automatic Expert Selection for Multi-Scenario and Multi-Task Search.
  Xinyu Zou, Zhi Hu, Yiming Zhao, Xuchu Ding, Zhongyi Liu, Chenliang Li*, Aixin Sun.
  The 45th Annual International ACM SIGIR Conference (SIGIR'22). July 11-15, 2022 [Full paper]
  
• When Multi-Level Meets Multi-Interest: A Multi-Grained Neural Model for Sequential Recommendation.
  Yu Tian, Jianxin Chang, Yanan Niu, Yang Song, Chenliang Li*.
  The 45th Annual International ACM SIGIR Conference (SIGIR'22). July 11-15, 2022 [Full paper]
  
• Knowledge Graph Contrastive Learning for Recommendation.
  Yuhao Yang, Chao Huang*, Lianghao Xia, Chenliang Li.
  The 45th Annual International ACM SIGIR Conference (SIGIR'22). July 11-15, 2022 [Full paper]
  
• Multi-Agent RL-based Information Selection Model for Sequential Recommendation.
  Kaiyuan Li, Pengfei Wang*, Chenliang Li*.
  The 45th Annual International ACM SIGIR Conference (SIGIR'22). July 11-15, 2022 [Full paper]
  
• Mutual Disentanglement Learning for Joint Fine-Grained Sentiment Classification and Controllable Text Generation.
  Hao Fei, Chenliang Li, Donghong Ji, Fei Li*.
  The 45th Annual International ACM SIGIR Conference (SIGIR'22). July 11-15, 2022 [Full paper]
  
• User-Aware Multi-Interest Learning for Candidate Matching in Recommenders.
  Zheng Chai*, Zhihong Chen, Chenliang Li*, Rong Xiao, Houyi Li, Jiawei Wu, Jingxu Chen, Haihong Tang.
  The 45th Annual International ACM SIGIR Conference (SIGIR'22). July 11-15, 2022 [Full paper]
  
• Co-training Disentangled Domain Adaptation Network for Leveraging Popularity Bias in Recommenders.
  Zhihong Chen, Jiawei Wu, Chenliang Li*, Jingxu Chen, Rong Xiao, Binqiang Zhao.
  The 45th Annual International ACM SIGIR Conference (SIGIR'22). July 11-15, 2022 [Full paper]
  
• Dynamic Intent-aware Iterative Denoising Network for Session-based Recommendation.
  Xiaokun Zhang, Hongfei Lin, Bo Xu*, Chenliang Li, Yuan Lin, Haifeng Liu, Fenglong Ma.
  Information Processing and Management (IPM). 2022 [In Press]
  
• Modality Matches Modality: Pretraining Modality-Disentangled Item Representations for Recommendation.
  Tengyue Han, Pengfei Wang*, Shaozhang Niu, Chenliang Li*.
  The Web Conference 2022 (WWW'22). Lyon, France. April 2022 [Full paper]
  
• Wavefront based Multiple Rumor Sources Identification by Multi-Task Learning.
  Ming Dong, Bolong Zheng*, Guohui Li, Chenliang Li, Kai Zheng, Xiaofang Zhou.
  IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI). 2021 [Full paper]
  
• HASTE: A Distributed System for Hybrid and Adaptive Processing on Streaming Spatial-Textual Data.
  Zhong Yang, Bolong Zheng*, Chengdong Tong, Lianggui Weng, Chenliang Li, Guohui Li.
  The 30th ACM International Conference on Information and Knowledge Management (CIKM'21). Gold Coast, Queensland, Australia. Nov 2021 [Full paper]
  
• Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation.
  Yiyu Liu, Qian Liu, Yu Tian, Changping Wang, Yanan Niu, Yang Song, Chenliang Li*.
  The 30th ACM International Conference on Information and Knowledge Management (CIKM'21). Gold Coast, Queensland, Australia. Nov 2021 [Full paper]
  
• Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation.
  Xiaohai Tong, Pengfei Wang*, Chenliang Li*, Long Xia, Shaozhang Niu.
  The 30th International Joint Conference on Artificial Intelligence (IJCAI'21). 2021 [Full paper]
  
• Conversational vs Traditional: Comparing Search Behavior and Outcome in Legal Case Retrieval.
  Bulou Liu, Yueyue Wu, Yiqun Liu, Fan Zhang, Yunqiu Shao, Chenliang Li, Min Zhang, Shaoping Ma.
  The 44th Annual International ACM SIGIR Conference (SIGIR'21). July 11-15, 2021 [Short paper]
  
• Adapted Graph Reasoning and Filtration for Description-Image Retrieval.
  Shiqian Chen, Zhiling Luo, Yingqi Gao, Wei Zhou, Chenliang Li, Haiqing Chen.
  The 44th Annual International ACM SIGIR Conference (SIGIR'21). July 11-15, 2021 [Short paper]
  
• Path-based Deep Network for Candidate Item Matching in Recommenders.
  Houyi Li, Zhihong Chen, Chenliang Li*, Rong Xiao, Hongbo Deng*, Peng Zhang, Yongchao Liu, Haihong Tang.
  The 44th Annual International ACM SIGIR Conference (SIGIR'21). July 11-15, 2021 [Full paper]
  
• The World is Binary: Contrastive Learning for Denoising Next Basket Recommendation.
  Yuqi Qin, Pengfei Wang*, Chenliang Li*.
  The 44th Annual International ACM SIGIR Conference (SIGIR'21). July 11-15, 2021 [Full paper]
  
• Joint Knowledge Pruning and Recurrent Graph Convolution for News Recommendation.
  Yu Tian^†, Yuhao Yang^†, Xudong Ren^†, Pengfei Wang, Fangzhao Wu, Qian Wang, Chenliang Li*.
  The 44th Annual International ACM SIGIR Conference (SIGIR'21). July 11-15, 2021 [Full paper]
  
• Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert Networks.
  Xichuan Niu, Bofang Li, Chenliang Li*, Jun Tan, Rong Xiao, Haochuan Sun, Hongbo Deng.
  14th ACM International Conference on Web Search and Data Mining (WSDM'21). March 2020 [Full paper]
  
• Deep Context Modeling for Multi-turn Response Selection in Dialogue Systems.
  Lu Li, Chenliang Li, Donghong Ji.
  Information Processing and Management (IPM). 2020 [In Press]
  
• An Attention-based Deep Relevance Model for Few-shot Document Filtering.
  Bulou Liu, Chenliang Li*, Wei Zhou, Feng Ji, Yu Duan, Haiqing Chen
  ACM Transactions on Information Systems (TOIS) 2020 [In Press]
  
• Information Retrieval: A View from the Chinese IR community.
  Zhumin Chen, Xueqi Cheng, Shoubin Dong, Zhicheng Dou, Jiafeng Guo, Xuanjing Huang, Yanyan Lan, Chenliang Li, Ru Li, Tie-Yan Liu, Yiqun Liu, Jun Ma, Bing Qin, Mingwen Wang, Ji-Rong Wen, Jun Xu, Min Zhang, Peng Zhang, Qi Zhang
  Frontiers of Computer Science, Springer (FCS). 15(1): 151601, 2021
  
• An Overview of Microblog User Geolocation Methods.
  Xiangyang Luo, Yaqiong Qiao, Chenliang Li, Jiangtao Ma, Yimin Liu
  Information Processing and Management (IPM). 2020 [In Press]
  
• 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

• 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.