English Version

李晨亮

教授, 博士生导师

武汉大学国家网络安全学院

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

一篇长文被KDD'22录用!
俩篇长文被IJCAI'22录用!
九篇长文一篇短文被SIGIR'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


研究团队

  • 邹鑫雨, 学硕 2020.09

  • 朱芮, 学硕 2020.09

  • 王子彤, 学硕 2020.09

  • 田雨, 学硕 2021.09

  • 唐作立, 学硕 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


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

  • 刘倩,学硕,2022 (小红书)

  • 刘艺语,学硕,2022

  • 吴鸿涛,学硕,2022 (字节跳动)


论文发表

(标*为通讯作者,共同一作)
  • 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, Yueyue Wu, Fan Zhang, Yiqun Liu*, Zhihong Wang, Chenliang Li, Min Zhang, Shaoping Ma.
    Information Processing and Management (IPM). 2022 [In Press]
  • AAAI 2023;
  • 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 04/2021 最后修改。