Chenliang Li

150 papers A* 43A 15B 2Misc 1Journal 80Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
EGCL: An Effective and Efficient Graph Contrastive Learning Framework for Social Recommendation.
ACM Trans. Inf. Syst.
Bin Wu, Bo Zhang, Yihao Tian, Chenliang Li, Jing J. Liang, Yangdong Ye
2026 J jnl
Erratum: Learning Discrete Identifiers and Dense Vectors for Generative Retrieval.
ACM Trans. Inf. Syst.
Yunfan Xie, Lixin Zou, Xiangyang Luo, Hengyi Cai, Chaoran Zhang, Liming Dong, Xixun Lin, Chenliang Li
2026 J jnl
Generative Causality-Driven Network for Graph Multi-Task Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Xixun Lin, Qing Yu, Yanan Cao, Lixin Zou, Chuan Zhou, Jia Wu, Chenliang Li, Peng Zhang, Shirui Pan
2026 J jnl
Learning Discrete Identifiers and Dense Vectors for Generative Retrieval.
ACM Trans. Inf. Syst.
Yunfan Xie, Lixin Zou, Xiangyang Luo, Hengyi Cai, Chaoran Zhang, Liming Dong, Xixun Lin, Chenliang Li
2026 — conf
Q-Regularized Generative Auto-Bidding: From Suboptimal Trajectories to Optimal Policies.
KDD (1)
Mingming Zhang, Na Li, Feiqing Zhuang, Hongyang Zheng, Jiangbing Zhou, Wuyin Wang, Shengjie Sun, Xiaowei Chen, Junxiong Zhu, Lixin Zou, Chenliang Li
2026 A* conf
Scaling Collaborative Filtering with Multimodal Contrastive Fine-tuning.
WWW
Liwei Jin, Dan Luo, Lixin Zou, Chenliang Li, Xiangyang Luo, Xixun Lin, Liming Dong, Yifan Zhang
2025 J jnl
A Survey on Side Information-Driven Session-Based Recommendation: From a Data-Centric Perspective.
IEEE Trans. Knowl. Data Eng.
Xiaokun Zhang, Bo Xu, Chenliang Li, Bowei He, Hongfei Lin, Chen Ma, Fenglong Ma
2025 J jnl
A Survey on Side Information-driven Session-based Recommendation: From a Data-centric Perspective.
CoRR
Xiaokun Zhang, Bo Xu, Chenliang Li, Bowei He, Hongfei Lin, Chen Ma, Fenglong Ma
2025 — conf
AIGuard: A Benchmark and Lightweight Detection for E-commerce AIGC Risks.
ACL (Findings)
Wenhua Zhang, Weicheng Li, Xuanrong Rao, Lixin Zou, Xiangyang Luo, Chubin Zhuang, Yongjie Hong, Zhen Qin, Hengyun Chang, Chenliang Li, Bo Zheng
2025 A* conf
Bridging the Gap: Consistent Image Outpainting via Training-Free Noise Optimization.
ACM Multimedia
Na Li, Zihao Li, Zuoli Tang, Yuqing Yu, Lixin Zou, Chenliang Li
2025 — conf
CharacterCraft: Bridging the Literature-Reality Dialogue Gap for Practical Role-Playing Agents.
EMNLP (Findings)
Xuyan Yin, Xinran Yang, Zihao Li, Lixin Zou, Chenliang Li
2025 J jnl
Efficient and explainable sequential recommendation with language model.
Inf. Process. Manag.
Zihao Li, Lixin Zou, Chao Ma, Chenliang Li
2025 A* conf
Flow Matching Based Sequential Recommender Model.
IJCAI
Feng Liu, Lixin Zou, Xiangyu Zhao, Min Tang, Liming Dong, Dan Luo, Xiangyang Luo, Chenliang Li
2025 J jnl
Flow Matching based Sequential Recommender Model.
CoRR
Feng Liu, Lixin Zou, Xiangyu Zhao, Min Tang, Liming Dong, Dan Luo, Xiangyang Luo, Chenliang Li
2025 J jnl
Generating Clarifying Questions for Conversational Legal Case Retrieval without External Knowledge.
ACM Trans. Inf. Syst.
Bulou Liu, Yiran Hu, Qingyao Ai, Yiqun Liu, Yueyue Wu, Chenliang Li, Weixing Shen
2025 J jnl
HORAE: Temporal Multi-Interest Pre-training for Sequential Recommendation.
ACM Trans. Inf. Syst.
Shirui Hu, Weichang Wu, Zuoli Tang, Zhaoxin Huan, Lin Wang, Xiaolu Zhang, Jun Zhou, Lixin Zou, Chenliang Li
2025 J jnl
LFD: Layer Fused Decoding to Exploit External Knowledge in Retrieval-Augmented Generation.
CoRR
Yang Sun, Lixin Zou, Dan Luo, Zhiyong Xie, Long Zhang, Liming Dong, Yunwei Zhao, Xixun Lin, Yanxiong Lu, Chenliang Li
2025 B conf
META-LORA: Memory-Efficient Sample Reweighting for Fine-Tuning Large Language Models.
COLING
Weicheng Li, Lixin Zou, Min Tang, Qing Yu, Wanli Li, Chenliang Li
2025 B conf
Mitigating Language Confusion through Inference-time Intervention.
COLING
Yunfan Xie, Lixin Zou, Dan Luo, Min Tang, Chenliang Li, Liming Dong, Xiangyang Luo
2025 J jnl
Multi-Interest Recommendation: A Survey.
CoRR
Zihao Li, Qiang Chen, Lixin Zou, Aixin Sun, Chenliang Li
2025 J jnl
One Model for All: Large Language Models Are Domain-Agnostic Recommendation Systems.
ACM Trans. Inf. Syst.
Zuoli Tang, Zhaoxin Huan, Zihao Li, Xiaolu Zhang, Jun Hu, Chilin Fu, Jun Zhou, Lixin Zou, Chenliang Li
2025 J jnl
Sequential recommendation by reprogramming pretrained transformer.
Inf. Process. Manag.
Min Tang, Shujie Cui, Zhe Jin, Shiuan-Ni Liang, Chenliang Li, Lixin Zou
2025 J jnl
Structure-Aware Conversational Legal Case Retrieval.
ACM Trans. Inf. Syst.
Bulou Liu, Yiran Hu, Qingyao Ai, Yueyue Wu, Yiqun Liu, Chenliang Li, Fan Zhang, Weixing Shen, Chong Chen, Qi Tian
2025 — conf
Token-level Preference Self-Alignment Optimization for Multi-style Outline Controllable Generation.
ACL (Findings)
Zihao Li, Xuekong Xu, Ziyao Chen, Lixin Zou, Ethanhjwu Ethanhjwu, Qiang Chen, Chenliang Li
2025 A* conf
Towards Accurate Social User Geolocation: Mean Shift, Incremental Learning and Graph Convolutional Networks.
SIGIR
Yaqiong Qiao, Aobo Jiao, Xiangyang Luo, Chenliang Li, Jiangtao Ma, Chenkai Guo
2025 J jnl
Uniform Graph Pre-training and Prompting for Transferable Recommendation.
ACM Trans. Inf. Syst.
Qing Yu, Lixin Zou, Xiangyang Luo, Xiangyu Zhao, Chenliang Li
2025 — conf
Weak-to-Strong Honesty Alignment via Learning-to-Rank Supervision.
ACL (Findings)
Yunfan Xie, Lixin Zou, Dan Luo, Min Tang, Chenliang Li
2024 J jnl
Beyond Co-Occurrence: Multi-Modal Session-Based Recommendation.
IEEE Trans. Knowl. Data Eng.
Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Liang Yang, Hongfei Lin
2024 J jnl
Bi-preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation.
ACM Trans. Inf. Syst.
Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Yuan Lin, Hongfei Lin
2024 J jnl
City Matters! A Dual-Target Cross-City Sequential POI Recommendation Model.
ACM Trans. Inf. Syst.
Ke Sun, Chenliang Li, Tieyun Qian
2024 A conf
Contextual MAB Oriented Embedding Denoising for Sequential Recommendation.
WSDM
Zhichao Feng, Pengfei Wang, Kaiyuan Li, Chenliang Li, Shangguang Wang
2024 J jnl
DiffuRec: A Diffusion Model for Sequential Recommendation.
ACM Trans. Inf. Syst.
Zihao Li, Aixin Sun, Chenliang Li
2024 J jnl
Disentangle interest trend and diversity for sequential recommendation.
Inf. Process. Manag.
Zihao Li, Yunfan Xie, Wei Emma Zhang, Pengfei Wang, Lixin Zou, Fei Li, Xiangyang Luo, Chenliang Li
2024 — conf
Efficient Sparse Attention needs Adaptive Token Release.
ACL (Findings)
Chaoran Zhang, Lixin Zou, Dan Luo, Xiangyang Luo, Zihao Li, Min Tang, Chenliang Li
2024 J jnl
Efficient Sparse Attention needs Adaptive Token Release.
CoRR
Chaoran Zhang, Lixin Zou, Dan Luo, Min Tang, Xiangyang Luo, Zihao Li, Chenliang Li
2024 A* conf
Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset.
SIGIR
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
2024 J jnl
Identifying influential nodes in complex networks via Transformer.
Inf. Process. Manag.
Leiyang Chen, Ying Xi, Liang Dong, Manjun Zhao, Chenliang Li, Xiao Liu, Xiaohui Cui
2024 A* conf
LT
ICDE
Xiaokai Chu, Changying Hao, Shuaiqiang Wang, Dawei Yin, Jiashu Zhao, Lixin Zou, Chenliang Li
2024 J jnl
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective.
CoRR
Xuan Ma, Zepeng Bao, Ming Zhong, Yuanyuan Zhu, Chenliang Li, Jiawei Jiang, Qing Li, Tieyun Qian
2024 J jnl
Side Information-Driven Session-based Recommendation: A Survey.
CoRR
Xiaokun Zhang, Bo Xu, Chenliang Li, Yao Zhou, Liangyue Li, Hongfei Lin
2024 A conf
Spectral and Geometric Spaces Representation Regularization for Multi-Modal Sequential Recommendation.
CIKM
Zihao Li, Xuekong Xu, Zuoli Tang, Lixin Zou, Qian Wang, Chenliang Li
2024 A conf
TEXT CAN BE FAIR: Mitigating Popularity Bias with PLMs by Learning Relative Preference.
CIKM
Zuoli Tang, Zhaoxin Huan, Zihao Li, Shirui Hu, Xiaolu Zhang, Jun Zhou, Lixin Zou, Chenliang Li
2024 J jnl
Toward Bias-Agnostic Recommender Systems: A Universal Generative Framework.
ACM Trans. Inf. Syst.
Zhidan Wang, Lixin Zou, Chenliang Li, Shuaiqiang Wang, Xu Chen, Dawei Yin, Weidong Liu
2024 A* conf
Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation.
SIGIR
Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison
2024 A conf
Unified Visual Preference Learning for User Intent Understanding.
WSDM
Yihua Wen, Si Chen, Yu Tian, Wanxian Guan, Pengjie Wang, Hongbo Deng, Jian Xu, Bo Zheng, Zihao Li, Lixin Zou, Chenliang Li
2023 J jnl
A Critical Study on Data Leakage in Recommender System Offline Evaluation.
ACM Trans. Inf. Syst.
Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li
2023 A* conf
A Survey on Deep Learning for Named Entity Recognition : Extended Abstract.
ICDE
Jing Li, Aixin Sun, Jianglei Han, Chenliang Li
2023 J jnl
Beyond Co-occurrence: Multi-modal Session-based Recommendation.
CoRR
Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Liang Yang, Hongfei Lin
2023 A* conf
Beyond Two-Tower: Attribute Guided Representation Learning for Candidate Retrieval.
WWW
Hongyu Shan, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Chenliang Li
2023 J jnl
Bi-Preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation.
CoRR
Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Yuan Lin, Hongfei Lin
2023 J jnl
DiffuRec: A Diffusion Model for Sequential Recommendation.
CoRR
Zihao Li, Aixin Sun, Chenliang Li
2023 J jnl
Dynamic global structure enhanced multi-channel graph neural network for session-based recommendation.
Inf. Sci.
Xiaofei Zhu, Gu Tang, Pengfei Wang, Chenliang Li, Jiafeng Guo, Stefan Dietze
2023 J jnl
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community.
CoRR
Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu
2023 J jnl
Information Retrieval meets Large Language Models: A strategic report from Chinese IR community.
AI Open
Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu
2023 — conf
Investigating Conversational Agent Action in Legal Case Retrieval.
ECIR (1)
Bulou Liu, Yiran Hu, Yueyue Wu, Yiqun Liu, Fan Zhang, Chenliang Li, Min Zhang, Shaoping Ma, Weixing Shen
2023 — conf
Joint Document-Level Event Extraction via Token-Token Bidirectional Event Completed Graph.
ACL (1)
Qizhi Wan, Changxuan Wan, Keli Xiao, Dexi Liu, Chenliang Li, Bolong Zheng, Xiping Liu, Rong Hu
2023 A conf
Leveraging Event Schema to Ask Clarifying Questions for Conversational Legal Case Retrieval.
CIKM
Bulou Liu, Yiran Hu, Qingyao Ai, Yiqun Liu, Yueyue Wu, Chenliang Li, Weixing Shen
2023 A* conf
Multi-Scenario Ranking with Adaptive Feature Learning.
SIGIR
Yu Tian, Bofang Li, Si Chen, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng, Qian Wang, Chenliang Li
2023 J jnl
Multi-Scenario Ranking with Adaptive Feature Learning.
CoRR
Yu Tian, Bofang Li, Si Chen, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng, Qian Wang, Chenliang Li
2023 J jnl
On the Opportunities of Green Computing: A Survey.
CoRR
You Zhou, Xiujing Lin, Xiang Zhang, Maolin Wang, Gangwei Jiang, Huakang Lu, Yupeng Wu, Kai Zhang, Zhe Yang, Kehang Wang, Yongduo Sui, Fengwei Jia, Zuoli Tang, Yao Zhao, Hongxuan Zhang, Tiannuo Yang, Weibo Chen, Yunong Mao, Yi Li, De Bao, Yu Li, Hongrui Liao, Ting Liu, Jingwen Liu, Jinchi Guo, Xiangyu Zhao, Ying Wei, Hong Qian, Qi Liu, Xiang Wang, Wai Kin Chan, Chenliang Li, Yusen Li, Shiyu Yang, Jining Yan, Chao Mou, Shuai Han, Wuxia Jin, Guannan Zhang, Xiaodong Zeng
2023 J jnl
On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training.
CoRR
Hao Fei, Tat-Seng Chua, Chenliang Li, Donghong Ji, Meishan Zhang, Yafeng Ren
2023 J jnl
On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training.
ACM Trans. Inf. Syst.
Hao Fei, Tat-Seng Chua, Chenliang Li, Donghong Ji, Meishan Zhang, Yafeng Ren
2023 J jnl
One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems.
CoRR
Zuoli Tang, Zhaoxin Huan, Zihao Li, Xiaolu Zhang, Jun Hu, Chilin Fu, Jun Zhou, Chenliang Li
2023 A* conf
Poisoning Self-supervised Learning Based Sequential Recommendations.
SIGIR
Yanling Wang, Yuchen Liu, Qian Wang, Cong Wang, Chenliang Li
2023 J jnl
Pre-Training Across Different Cities for Next POI Recommendation.
ACM Trans. Web
Ke Sun, Tieyun Qian, Chenliang Li, Xuan Ma, Qing Li, Ming Zhong, Yuanyuan Zhu, Mengchi Liu
2023 A* conf
Towards Multi-Interest Pre-training with Sparse Capsule Network.
SIGIR
Zuoli Tang, Lin Wang, Lixin Zou, Xiaolu Zhang, Jun Zhou, Chenliang Li
2023 A conf
Tutorial: Data Denoising Metrics in Recommender Systems.
CIKM
Pengfei Wang, Chenliang Li, Lixin Zou, Zhichao Feng, Kaiyuan Li, Xiaochen Li, Xialong Liu, Shangguang Wang
2023 J jnl
Unconfounded Propensity Estimation for Unbiased Ranking.
CoRR
Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison
2022 J jnl
A Survey on Deep Learning for Named Entity Recognition.
IEEE Trans. Knowl. Data Eng.
Jing Li, Aixin Sun, Jianglei Han, Chenliang Li
2022 A* conf
An Attribute-Driven Mirror Graph Network for Session-based Recommendation.
SIGIR
Siqi Lai, Erli Meng, Fan Zhang, Chenliang Li, Bin Wang, Aixin Sun
2022 A* conf
Automatic Expert Selection for Multi-Scenario and Multi-Task Search.
SIGIR
Xinyu Zou, Zhi Hu, Yiming Zhao, Xuchu Ding, Zhongyi Liu, Chenliang Li, Aixin Sun
2022 J jnl
Automatic Expert Selection for Multi-Scenario and Multi-Task Search.
CoRR
Xinyu Zou, Zhi Hu, Yiming Zhao, Xuchu Ding, Zhongyi Liu, Chenliang Li, Aixin Sun
2022 A* conf
Co-training Disentangled Domain Adaptation Network for Leveraging Popularity Bias in Recommenders.
SIGIR
Zhihong Chen, Jiawei Wu, Chenliang Li, Jingxu Chen, Rong Xiao, Binqiang Zhao
2022 Misc conf
Do Loyal Users Enjoy Better Recommendations?: Understanding Recommender Accuracy from a Time Perspective.
ICTIR
Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li
2022 J jnl
Dynamic intent-aware iterative denoising network for session-based recommendation.
Inf. Process. Manag.
Xiaokun Zhang, Hongfei Lin, Bo Xu, Chenliang Li, Yuan Lin, Haifeng Liu, Fenglong Ma
2022 J jnl
GAFM: A Knowledge Graph Completion Method Based on Graph Attention Faded Mechanism.
Inf. Process. Manag.
Jiangtao Ma, Duanyang Li, Haodong Zhu, Chenliang Li, Qiuwen Zhang, Yaqiong Qiao
2022 A* conf
Global Inference with Explicit Syntactic and Discourse Structures for Dialogue-Level Relation Extraction.
IJCAI
Hao Fei, Jingye Li, Shengqiong Wu, Chenliang Li, Donghong Ji, Fei Li
2022 A* conf
Inheriting the Wisdom of Predecessors: A Multiplex Cascade Framework for Unified Aspect-based Sentiment Analysis.
IJCAI
Hao Fei, Fei Li, Chenliang Li, Shengqiong Wu, Jingye Li, Donghong Ji
2022 A* conf
Is News Recommendation a Sequential Recommendation Task?
SIGIR
Chuhan Wu, Fangzhao Wu, Tao Qi, Chenliang Li, Yongfeng Huang
2022 A* conf
Knowledge Graph Contrastive Learning for Recommendation.
SIGIR
Yuhao Yang, Chao Huang, Lianghao Xia, Chenliang Li
2022 J jnl
Knowledge Graph Contrastive Learning for Recommendation.
CoRR
Yuhao Yang, Chao Huang, Lianghao Xia, Chenliang Li
2022 A* conf
Modality Matches Modality: Pretraining Modality-Disentangled Item Representations for Recommendation.
WWW
Teng-Yue Han, Pengfei Wang, Shaozhang Niu, Chenliang Li
2022 A* conf
Multi-Agent RL-based Information Selection Model for Sequential Recommendation.
SIGIR
Kaiyuan Li, Pengfei Wang, Chenliang Li
2022 A* conf
Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation.
KDD
Yuhao Yang, Chao Huang, Lianghao Xia, Yuxuan Liang, Yanwei Yu, Chenliang Li
2022 J jnl
Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation.
CoRR
Yuhao Yang, Chao Huang, Lianghao Xia, Yuxuan Liang, Yanwei Yu, Chenliang Li
2022 A* conf
Mutual Disentanglement Learning for Joint Fine-Grained Sentiment Classification and Controllable Text Generation.
SIGIR
Hao Fei, Chenliang Li, Donghong Ji, Fei Li
2022 J jnl
Price DOES Matter! Modeling Price and Interest Preferences in Session-based Recommendation.
CoRR
Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin
2022 A* conf
Price DOES Matter!: Modeling Price and Interest Preferences in Session-based Recommendation.
SIGIR
Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin
2022 J jnl
Query Generation and Buffer Mechanism: Towards a better conversational agent for legal case retrieval.
Inf. Process. Manag.
Bulou Liu, Yueyue Wu, Fan Zhang, Yiqun Liu, Zhihong Wang, Chenliang Li, Min Zhang, Shaoping Ma
2022 J jnl
Recommender May Not Favor Loyal Users.
CoRR
Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li
2022 A* conf
User-Aware Multi-Interest Learning for Candidate Matching in Recommenders.
SIGIR
Zheng Chai, Zhihong Chen, Chenliang Li, Rong Xiao, Houyi Li, Jiawei Wu, Jingxu Chen, Haihong Tang
2022 J jnl
Wavefront-Based Multiple Rumor Sources Identification by Multi-Task Learning.
IEEE Trans. Emerg. Top. Comput. Intell.
Ming Dong, Bolong Zheng, Guohui Li, Chenliang Li, Kai Zheng, Xiaofang Zhou
2022 A* conf
When Multi-Level Meets Multi-Interest: A Multi-Grained Neural Model for Sequential Recommendation.
SIGIR
Yu Tian, Jianxin Chang, Yanan Niu, Yang Song, Chenliang Li
2022 J jnl
When Multi-Level Meets Multi-Interest: A Multi-Grained Neural Model for Sequential Recommendation.
CoRR
Yu Tian, Jianxin Chang, Yanan Niu, Yang Song, Chenliang Li
2021 A conf
Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation.
CIKM
Yiyu Liu, Qian Liu, Yu Tian, Changping Wang, Yanan Niu, Yang Song, Chenliang Li
2021 J jnl
Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation.
CoRR
Yiyu Liu, Qian Liu, Yu Tian, Changping Wang, Yanan Niu, Yang Song, Chenliang Li
2021 A* conf
Conversational vs Traditional: Comparing Search Behavior and Outcome in Legal Case Retrieval.
SIGIR
Bulou Liu, Yueyue Wu, Yiqun Liu, Fan Zhang, Yunqiu Shao, Chenliang Li, Min Zhang, Shaoping Ma
2021 A conf
HASTE: A Distributed System for Hybrid and Adaptive Processing on Streaming Spatial-Textual Data.
CIKM
Zhong Yang, Bolong Zheng, Chengdong Tong, Lianggui Weng, Chenliang Li, Guohui Li
2021 A conf
Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert Networks.
WSDM
Xichuan Niu, Bofang Li, Chenliang Li, Jun Tan, Rong Xiao, Hongbo Deng
2021 J jnl
Information retrieval: a view from the Chinese IR community.
Frontiers Comput. Sci.
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
2021 A* conf
Joint Knowledge Pruning and Recurrent Graph Convolution for News Recommendation.
SIGIR
Yu Tian, Yuhao Yang, Xudong Ren, Pengfei Wang, Fangzhao Wu, Qian Wang, Chenliang Li
2021 A* conf
Path-based Deep Network for Candidate Item Matching in Recommenders.
SIGIR
Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang, Yongchao Liu, Haihong Tang
2021 J jnl
Path-based Deep Network for Candidate Item Matching in Recommenders.
CoRR
Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang, Yongchao Liu, Haihong Tang
2021 A* conf
Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation.
IJCAI
Xiaohai Tong, Pengfei Wang, Chenliang Li, Long Xia, Shaozhang Niu
2021 A* conf
The World is Binary: Contrastive Learning for Denoising Next Basket Recommendation.
SIGIR
Yuqi Qin, Pengfei Wang, Chenliang Li
2020 A* conf
A Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce.
KDD
Xichuan Niu, Bofang Li, Chenliang Li, Rong Xiao, Haochuan Sun, Hongbo Deng, Zhenzhong Chen
2020 A* conf
A Re-visit of the Popularity Baseline in Recommender Systems.
SIGIR
Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li
2020 J jnl
A Re-visit of the Popularity Baseline in Recommender Systems.
CoRR
Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li
2020 J jnl
Adversarial Attacks on Deep-learning Models in Natural Language Processing: A Survey.
ACM Trans. Intell. Syst. Technol.
Wei Emma Zhang, Quan Z. Sheng, Ahoud Alhazmi, Chenliang Li
2020 J jnl
An Attention-based Deep Relevance Model for Few-shot Document Filtering.
ACM Trans. Inf. Syst.
Bulou Liu, Chenliang Li, Wei Zhou, Feng Ji, Yu Duan, Haiqing Chen
2020 J jnl
An overview of microblog user geolocation methods.
Inf. Process. Manag.
Xiangyang Luo, Yaqiong Qiao, Chenliang Li, Jiangtao Ma, Yimin Liu
2020 A* conf
CASE: Context-Aware Semantic Expansion.
AAAI
Jialong Han, Aixin Sun, Haisong Zhang, Chenliang Li, Shuming Shi
2020 A* conf
CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network.
SIGIR
Cheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng, Aixin Sun
2020 J jnl
CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network.
CoRR
Cheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng, Aixin Sun
2020 A* conf
ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance.
SIGIR
Zhihong Chen, Rong Xiao, Chenliang Li, Gangfeng Ye, Haochuan Sun, Hongbo Deng
2020 J jnl
ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance.
CoRR
Zhihong Chen, Rong Xiao, Chenliang Li, Gangfeng Ye, Haochuan Sun, Hongbo Deng
2020 A conf
Gated Heterogeneous Graph Representation Learning for Shop Search in E-commerce.
CIKM
Xichuan Niu, Bofang Li, Chenliang Li, Rong Xiao, Haochuan Sun, Honggang Wang, Hongbo Deng, Zhenzhong Chen
2020 J jnl
Heterogeneous graph-based joint representation learning for users and POIs in location-based social network.
Inf. Process. Manag.
Yaqiong Qiao, Xiangyang Luo, Chenliang Li, Hechan Tian, Jiangtao Ma
2020 J jnl
NEXT: a neural network framework for next POI recommendation.
Frontiers Comput. Sci.
Zhiqian Zhang, Chenliang Li, Zhiyong Wu, Aixin Sun, Dengpan Ye, Xiangyang Luo
2020 J jnl
On Offline Evaluation of Recommender Systems.
CoRR
Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li
2019 J jnl
A Context-Aware User-Item Representation Learning for Item Recommendation.
ACM Trans. Inf. Syst.
Libing Wu, Cong Quan, Chenliang Li, Qian Wang, Bolong Zheng, Xiangyang Luo
2019 J jnl
CASE: Context-Aware Semantic Expansion.
CoRR
Jialong Han, Aixin Sun, Haisong Zhang, Chenliang Li, Shuming Shi
2019 A* conf
DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets.
WWW
Canwen Xu, Jing Li, Xiangyang Luo, Jiaxin Pei, Chenliang Li, Donghong Ji
2019 J jnl
DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets.
CoRR
Canwen Xu, Jing Li, Xiangyang Luo, Jiaxin Pei, Chenliang Li, Donghong Ji
2019 J jnl
Multi-label dataless text classification with topic modeling.
Knowl. Inf. Syst.
Daochen Zha, Chenliang Li
2019 J jnl
Pair-Linking for Collective Entity Disambiguation: Two Could Be Better Than All.
IEEE Trans. Knowl. Data Eng.
Minh C. Phan, Aixin Sun, Yi Tay, Jialong Han, Chenliang Li
2019 J jnl
Searching activity trajectory with keywords.
World Wide Web
Bolong Zheng, Kai Zheng, Peter Scheuermann, Xiaofang Zhou, Quoc Viet Hung Nguyen, Chenliang Li
2019 J jnl
Seed-Guided Topic Model for Document Filtering and Classification.
ACM Trans. Inf. Syst.
Chenliang Li, Shiqian Chen, Jian Xing, Aixin Sun, Zongyang Ma
2019 J jnl
Targeted Sentiment Analysis: A Data-Driven Categorization.
CoRR
Jiaxin Pei, Aixin Sun, Chenliang Li
2018 J jnl
A Survey on Deep Learning for Named Entity Recognition.
CoRR
Jing Li, Aixin Sun, Jianglei Han, Chenliang Li
2018 — ed.
Information Retrieval - 24th China Conference, CCIR 2018, Guilin, China, September 27-29, 2018, Proceedings
CCIR
Shichao Zhang, Tie-Yan Liu, Xianxian Li, Jiafeng Guo, Chenliang Li
2018 A* conf
InstantCryptoGram: Secure Image Retrieval Service.
INFOCOM
Minghui Li, Mingxue Zhang, Qian Wang, Sherman S. M. Chow, Minxin Du, Yanjiao Chen, Chenliang Li
2018 J jnl
Pair-Linking for Collective Entity Disambiguation: Two Could Be Better Than All.
CoRR
Minh C. Phan, Aixin Sun, Yi Tay, Jialong Han, Chenliang Li
2017 J jnl
A Context-Aware User-Item Representation Learning for Item Recommendation.
CoRR
Libing Wu, Cong Quan, Chenliang Li, Qian Wang, Bolong Zheng
2017 J jnl
Enhancing Topic Modeling for Short Texts with Auxiliary Word Embeddings.
ACM Trans. Inf. Syst.
Chenliang Li, Yu Duan, Haoran Wang, Zhiqian Zhang, Aixin Sun, Zongyang Ma
2017 J jnl
Extracting fine-grained location with temporal awareness in tweets: A two-stage approach.
J. Assoc. Inf. Sci. Technol.
Chenliang Li, Aixin Sun
2017 J jnl
NEXT: A Neural Network Framework for Next POI Recommendation.
CoRR
Zhiqian Zhang, Chenliang Li, Zhiyong Wu, Aixin Sun, Dengpan Ye, Xiangyang Luo
2017 A conf
NeuPL: Attention-based Semantic Matching and Pair-Linking for Entity Disambiguation.
CIKM
Minh C. Phan, Aixin Sun, Yi Tay, Jialong Han, Chenliang Li
2017 A ed.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017
CIKM
Ee-Peng Lim, Marianne Winslett, Mark Sanderson, Ada Wai-Chee Fu, Jimeng Sun, J. Shane Culpepper, Eric Lo, Joyce C. Ho, Debora Donato, Rakesh Agrawal, Yu Zheng, Carlos Castillo, Aixin Sun, Vincent S. Tseng, Chenliang Li
2016 A conf
Effective Document Labeling with Very Few Seed Words: A Topic Model Approach.
CIKM
Chenliang Li, Jian Xing, Aixin Sun, Zongyang Ma
2016 A* conf
Topic Modeling for Short Texts with Auxiliary Word Embeddings.
SIGIR
Chenliang Li, Haoran Wang, Zhiqian Zhang, Aixin Sun, Zongyang Ma
2015 J jnl
Tweet Segmentation and Its Application to Named Entity Recognition.
IEEE Trans. Knowl. Data Eng.
Chenliang Li, Aixin Sun, Jianshu Weng, Qi He
2014 A* conf
Fine-grained location extraction from tweets with temporal awareness.
SIGIR
Chenliang Li, Aixin Sun
2013 A* conf
Exploiting hybrid contexts for Tweet segmentation.
SIGIR
Chenliang Li, Aixin Sun, Jianshu Weng, Qi He
2013 J jnl
TSDW: Two-stage word sense disambiguation using Wikipedia.
J. Assoc. Inf. Sci. Technol.
Chenliang Li, Aixin Sun, Anwitaman Datta
2012 J jnl
Mining latent relations in peer-production environments: a case study with Wikipedia article similarity and controversy.
Soc. Netw. Anal. Min.
Chenliang Li, Anwitaman Datta, Aixin Sun
2012 A conf
Twevent: segment-based event detection from tweets.
CIKM
Chenliang Li, Aixin Sun, Anwitaman Datta
2012 A* conf
TwiNER: named entity recognition in targeted twitter stream.
SIGIR
Chenliang Li, Jianshu Weng, Qi He, Yuxia Yao, Anwitaman Datta, Aixin Sun, Bu-Sung Lee
2011 A conf
A Generalized Method for Word Sense Disambiguation Based on Wikipedia.
ECIR
Chenliang Li, Aixin Sun, Anwitaman Datta
2011 A* conf
Semantic tag recommendation using concept model.
SIGIR
Chenliang Li, Anwitaman Datta, Aixin Sun