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 I have received IPM 2019 Best Reviewer Award.
Two papers have been accepted by ACM TOIS and IPM respectively.
One full paper has been accepted by KDD 2020.
Two full papers and one short paper have been accepted by SIGIR 2020!
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
Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert Networks.
Bofang Li, Chenliang Li*, Xichuan Niu, 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
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].