Publication | Dance Lab

(*=corresponding author, †=Equal Contribution)

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]
Whole Page Unbiased Learning to Rank.
Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Dawei Yin.
Arxiv Preprint.
A Large Scale Search Dataset for Unbiased Learning to Rank.
Lixin Zou, Haitao Mao, Xiaokai Chu, Jiliang Tang, Wenwen Ye, Shuaiqiang Wang, Dawei Yin.
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS'22). Nov 28- Sep. 1, 2022. [Full paper]
Pre-trained Language Model based Retrieval and Ranking for Web Search.
Lixin Zou*, Weixue Lu*, Yiding Liu*, Hengyi Cai*, Xiaokai Chu, Dehong Ma, Dating Shi, Zhicong Cheng, Simiu Gu, Shuaiqiang Wang, Dawei Yin.
ACM Transactions on the Web (TWeb) 2022. [In press]
Approximated Doubly Robust Search Relevance Estimation.
Lixin Zou, Changying Hao, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Wenwen Ye, Zhicong Cheng, Simu Gu, Dawei Yin.
The 31st ACM International Conference on Information and Knowledge Management (CIKM'22). October 17-21, 2022. [Full paper]
A Hierarchical Multi-Granularity Pre-Trained Language Model for Web Search.
Xiaokai Chu, Jiashu Zhao, Lixin Zou, Dawei Yin.
The 45th Annual International ACM SIGIR Conference (SIGIR'22). July 11-15, 2022 [Full paper]
Contrastive Disentangled Graph Convolutional Network for Weakly-supervised Node Classification.
Xiaokai Chu, Jiashu Zhao, Xinxin Fan, Di Yao, Zhihua Zhu, Dawei Yin, Lixin Zou, Jingping Bi.
The 27th International Conference on Database Systems for Advanced Applications (DASFAA'22), April 11-14, 2022. [Full paper]
Generative Session-based Recommendation.
Zhidan Wang, Wenwen Ye, Xu Chen, Wenqiang Zhang, Zhenlei Wang, Lixin Zou and Weidong Liu.
The 31st conference in the International World Wide Web Conference (WWW'22), April 25-29, 2022. [Full paper]
Fast Semantic Matching via Flexible Contextualized Interaction.
Wenwen Ye, Yiding Liu, Lixin Zou, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Dawei Yin.
The 15th ACM International Conference on Web Search and Data Mining (WSDM'22). February 21 - 25, 2022. [Full paper]

(*=corresponding author, †=Equal Contribution)

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]
Pre-trained Language Model based Ranking in Baidu Search.
Lixin Zou, Shengqiang Zhang, Hengyi Cai, Dehong Ma, Suqi Cheng, Daiting Shi, Shuaiqiang Wang, Zhichong Cheng, Dawei Yin.
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD'21), August. 14-18, 2021.[Full Paper]
Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation.
Siyuan Guo, Lixin Zou*, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin and Yi Chang.
Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'21), July 11-15, 2021. [Full Paper]
Data-Efficient Reinforcement Learning for Malaria Control.
Lixin Zou, Long Xia, Linfang Hou, Xiangyu Zhao, Dawei Yin.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI'21), August 19-26, 2021. [Full paper]

(*=corresponding author, †=Equal Contribution)

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]
Whole-Chain Recommendations.
Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang.
The 29th ACM international conference on information & knowledge management (CIKM'20), October 19-23, 2020. [Full paper]
Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems.
Yulong Gu, Zhuoye Ding, Shuaiqiang Wang, Lixin Zou, Yiding Liu, Dawei Yin.
The 29th ACM international conference on information & knowledge management (CIKM'20), October 19-23, 2020. [Full paper]
Meta-Learning for Neural Relation Classification with Distant Supervision.
Zhenzhen Li, Jian-Yun Nie, Benyou Wang, Pan Du, Yuhan Zhang, Lixin Zou, Dongsheng Li.
The 29th ACM international conference on information & knowledge management (CIKM'20), October 19-23, 2020. [Full paper]
Task-based Focal Loss for Adversarially Robust Meta-Learning.
Yufang Hou, Lixin Zou, Weidong Liu.
25th International Conference on Pattern Recognition (ICPR'20), 10-15 January 2021. [Full paper]
Neural Interactive Collaborative Filtering.
Lixin Zou, Long Xia, Yulong Gu, Xiangyu Zhao, Weidong Liu, Jimmy Xiangji Huang, Dawei Yin.
The 43rd Annual International ACM SIGIR Conference (SIGIR'20). Xi'an, China. July 2020. [Full paper]
Pseudo Dyna-Q: A reinforcement learning framework for interactive recommendation.
Lixin Zou, Long Xia, Pan Du, Zhuo Zhang, Ting Bai, Weidong Liu, Jian-Yun Nie, Dawei Yin.
13th ACM International Conference on Web Search and Data Mining (WSDM'20). Houston, Texas, USA. Feb 2020 [Full paper]
Toward simulating environments in reinforcement learning based recommendations.
Xiangyu Zhao, Long Xia, Lixin Zou, Dawei Yin, Jiliang Tang.
The Web Conference 2019 (WWW'20). Taipei, Taiwan, China. April 2020 [Short paper]

(*=corresponding author, †=Equal Contribution)

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]

Reinforcement learning to optimize long-term user engagement in recommender systems.
Lixin Zou, Long Xia, Zhuoye Ding, Jiaxing Song, Weidong Liu, Dawei Yin.
25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'19), August 4-9, 2019. [Full paper]

Ctrec: A long-short demands evolution model for continuous-time recommendation.
Ting Bai, Lixin Zou*, Wayne Xin Zhao, Pan Du, Weidong Liu, Jian-Yun Nie, Ji-Rong Wen.
42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'19), July 21-25, 2019. [Full paper]

Reinforcement Learning to Diversify Top-N Recommendation.
Lixin Zou, Long Xia, Zhuoye Ding, Dawei Yin, Jiaxing Song, Weidong Liu.
24th International Conference on Database Systems for Advanced Applications (DASFAA'19), Apr 22-25, 2019.

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]
HLGPS: a home location global positioning system in location-based social networks.
Yulong Gu, Jiaxing Song, Weidong Liu, Lixin Zou.
16th International Conference on Data Mining (ICDM'16), 12-15 December 2016. [Full paper]
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)

(*=corresponding author, †=Equal Contribution)

DiffuRec: A Diffusion Model for Sequential Recommendation.
Zihao Li, Aixin Sun, Chenliang Li*
Arxiv Preprint
Model-based Unbiased Learning to Rank.
Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Dawei Yin*, Brian D Davison.
The 16th ACM International Conference on Web Search and Data Mining (WSDM'23), February 27 to March 3, 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]
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]