English Version

李晨亮

教授, 博士生导师
数据智能实验室 (Dance Lab)
武汉大学国家网络安全学院

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

获得2022年中国中文信息学会钱伟长中文信息处理科学技术奖青年创新奖一等奖!
一篇长文被WWW'23录用!
一篇长文被KDD'22录用!


研究方向

  • 信息检索

  • 自然语言处理

  • 统计学习

  • 数据挖掘

  • 社交媒体分析和挖掘
  我们已经建立了Github账号 WHUIR 用于发布和我们的研究工作有关的代码实现。


学术活动

  • 期刊编委

    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)
    数据分析与知识发现 (中文核心期刊, CCF-C类中文期刊)
  • 会议组织

    CIKM 2017 演示分会联合主席,CIKM 2017 文本分析分会主席,ADMA 2017 会议出版联合主席,SMP 2017 宣传主席,CCIR 2018 会议出版及宣传主席, CCL 2019 宣传主席,ASIS&T AP 2020 赞助联合主席,ICDM 2021 论坛分会联合主席, YSSNLP 2021 程序委员会联合主席, CCAC 2022 学生研讨会联合主席, CCAC 2023 赞助联合主席, YSSNLP 2023 赞助联合主席, WSDM 2023 推荐系统分会主席
  • 程序委员会委员

    CIKM 2024 (SPC); RecSys 2024 (SPC); KDD 2024; COLM 2024; SIGIR 2024 (SPC); IJCAI 2024 (SPC); UMAP 2024; WWW 2024 (AC); WSDM 2024; KDD 2023; SIGIR 2023 (SPC); IJCAI 2023 (SPC); WWW 2023; AAAI 2023; WSDM 2022; EMNLP 2022; COLING 2022 (AC); CIKM 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);
  • 期刊审稿人

    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
  • 其他


研究团队

  • 王子彤, 学硕 2020.09

  • 田雨, 学硕 2021.09

  • 唐作立, 博士生 2021.09

  • 文亦画, 学硕 2021.09

  • 胡诗睿, 学硕 2022.09

  • 徐学孔, 专硕 2022.09

  • 李自豪, 博士生 2022.09

  • 柳馗, 学硕 2023.09

  • 张家华, 学硕 2023.09

  • 李娜, 学硕 2023.09

  • 于雨晴, 博士生 2023.09

  • 王丽瑾, 专硕 2023.09


毕业生

  • 王浩然,学硕,2017(百度)

  • 邢健,学硕,2017(网易)

  • 吴志勇,学士,2017(香港大学博士生)

  • 查道琛,学士,2018(德州农工大学博士生)

  • 陈亦乐,学士,2018(南洋理工大学博士生)

  • 丁嘉辉,学士,2018(南加州大学硕士生)

  • 张芷芊,学硕,2018(京东)

  • 裴嘉欣, 学士 2019 (密歇根大学博士生)

  • Runnan Cao, 学士 2019 (中科院硕士生)

  • 陈诗倩, 学硕 2019 (阿里巴巴)

  • 段誉, 学硕 2019 (阿里巴巴)

  • 徐江升, 专硕 2019 (欧普拉软件)

  • 梁嘉辉, 专硕 2019 (京东)

  • 金泽胜, 专硕 2019 (中国移动)

  • 齐燕,学硕,2020 (京东)

  • 刘布楼, 学士, 2020 (清华博士生)

  • 许灿文, 学士,2020 (加州大学圣迭戈分校博士生)

  • 王飞阳,学士,2020 (卡内基梅隆大学硕士生)

  • 全聪,博士生,2020(华为)

  • 龙俊辉,学硕,2021 (中国银行)

  • 任旭东, 专硕 2022 (京东)

  • 周涛, 专硕 2022 (拼多多)

  • 杨雨豪, 学士 2022 (香港大学博士生)

  • 陈子祎, 学士 2022 (UIUC硕士生)

  • 郑彦翀, 学士 2022 (Rice硕士生)

  • 赖思奇, 学士 2022 (香港科技大学博士生)

  • 刘倩,学硕,2022 (小红书)

  • 刘艺语,学硕,2022

  • 吴鸿涛,学硕,2022 (字节跳动)

  • 邹鑫雨, 学硕 2023 (蚂蚁金服)

  • 朱芮, 学硕 2023 (京东)


论文发表

(标*为通讯作者,共同一作)
  • 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*
    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 [Applied Research 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]
  • 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]
  • 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].

资源

  • 推特分割代码.[来信索取]
    此资源被用于我们之前的以下工作中: [Li et al. SIGIR'13],[Li et al. SIGIR'12] and [Li et al. CIKM'12].
  • 微软 Web N-Gram 服务 [链接]
    此资源被用于我们之前的以下工作中: [Li et al. SIGIR'13],[Li et al. SIGIR'12] and [Li et al. CIKM'12].

教育背景


 本页面创建于 11/2014,由 李晨亮 于 10/2022 最后修改。