A Generalized Method for Word Sense Disambiguation Based on Wikipedia. - Chenliang Li 005; Aixin Sun; Anwitaman Datta (ECIR, 2011)

Semantic tag recommendation using concept model. - Chenliang Li 005; Anwitaman Datta; Aixin Sun (SIGIR, 2011)

Twevent: segment-based event detection from tweets. - Chenliang Li 005; Aixin Sun; Anwitaman Datta (CIKM, 2012)

TwiNER: named entity recognition in targeted twitter stream. - Chenliang Li 005; Jianshu Weng; Qi He 002; Yuxia Yao; Anwitaman Datta; Aixin Sun; Bu-Sung Lee (SIGIR, 2012)

Mining latent relations in peer-production environments: a case study with Wikipedia article similarity and controversy. - Chenliang Li 005; Anwitaman Datta; Aixin Sun (Soc. Netw. Anal. Min., 2012)

Exploiting hybrid contexts for Tweet segmentation. - Chenliang Li 005; Aixin Sun; Jianshu Weng; Qi He 002 (SIGIR, 2013)

TSDW: Two-stage word sense disambiguation using Wikipedia. - Chenliang Li 005; Aixin Sun; Anwitaman Datta (J. Assoc. Inf. Sci. Technol., 2013)

Fine-grained location extraction from tweets with temporal awareness. - Chenliang Li 005; Aixin Sun (SIGIR, 2014)

Tweet Segmentation and Its Application to Named Entity Recognition. - Chenliang Li 005; Aixin Sun; Jianshu Weng; Qi He 002 (IEEE Trans. Knowl. Data Eng., 2015)

Effective Document Labeling with Very Few Seed Words: A Topic Model Approach. - Chenliang Li 005; Jian Xing; Aixin Sun; Zongyang Ma (CIKM, 2016)

Topic Modeling for Short Texts with Auxiliary Word Embeddings. - Chenliang Li 005; Haoran Wang; Zhiqian Zhang; Aixin Sun; Zongyang Ma (SIGIR, 2016)

NeuPL: Attention-based Semantic Matching and Pair-Linking for Entity Disambiguation. - Minh C. Phan; Aixin Sun; Yi Tay; Jialong Han; Chenliang Li 005 (CIKM, 2017)

A Context-Aware User-Item Representation Learning for Item Recommendation. - Libing Wu; Cong Quan; Chenliang Li 005; Qian Wang 002; Bolong Zheng (CoRR, 2017)

Extracting fine-grained location with temporal awareness in tweets: A two-stage approach. - Chenliang Li 005; Aixin Sun (J. Assoc. Inf. Sci. Technol., 2017)

Enhancing Topic Modeling for Short Texts with Auxiliary Word Embeddings. - Chenliang Li 005; Yu Duan; Haoran Wang; Zhiqian Zhang; Aixin Sun; Zongyang Ma (ACM Trans. Inf. Syst., 2017)

InstantCryptoGram: Secure Image Retrieval Service. - Minghui Li; Mingxue Zhang 001; Qian Wang 002; Sherman S. M. Chow; Minxin Du; Yanjiao Chen; Chenliang Li 005 (INFOCOM, 2018)

DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets. - Canwen Xu; Jing Li 034; Xiangyang Luo; Jiaxin Pei; Chenliang Li 005; Donghong Ji (WWW, 2019)

Targeted Sentiment Analysis: A Data-Driven Categorization. - Jiaxin Pei; Aixin Sun; Chenliang Li 005 (CoRR, 2019)

Multi-label dataless text classification with topic modeling. - Daochen Zha; Chenliang Li 005 (Knowl. Inf. Syst., 2019)

Pair-Linking for Collective Entity Disambiguation: Two Could Be Better Than All. - Minh C. Phan; Aixin Sun; Yi Tay; Jialong Han; Chenliang Li 005 (IEEE Trans. Knowl. Data Eng., 2019)

Seed-Guided Topic Model for Document Filtering and Classification. - Chenliang Li 005; Shiqian Chen; Jian Xing; Aixin Sun; Zongyang Ma (ACM Trans. Inf. Syst., 2019)

A Context-Aware User-Item Representation Learning for Item Recommendation. - Libing Wu; Cong Quan; Chenliang Li 005; Qian Wang 002; Bolong Zheng; Xiangyang Luo 001 (ACM Trans. Inf. Syst., 2019)

Searching activity trajectory with keywords. - Bolong Zheng; Kai Zheng 001; Peter Scheuermann; Xiaofang Zhou 001; Quoc Viet Hung Nguyen; Chenliang Li 005 (World Wide Web, 2019)

CASE: Context-Aware Semantic Expansion. - Jialong Han; Aixin Sun; Haisong Zhang; Chenliang Li 005; Shuming Shi 001 (AAAI, 2020)

Gated Heterogeneous Graph Representation Learning for Shop Search in E-commerce. - Xichuan Niu; Bofang Li; Chenliang Li 005; Rong Xiao 005; Haochuan Sun; Honggang Wang; Hongbo Deng; Zhenzhong Chen (CIKM, 2020)

A Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce. - Xichuan Niu; Bofang Li; Chenliang Li 005; Rong Xiao 005; Haochuan Sun; Hongbo Deng; Zhenzhong Chen (KDD, 2020)

ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance. - Zhihong Chen; Rong Xiao 005; Chenliang Li 005; Gangfeng Ye; Haochuan Sun; Hongbo Deng (SIGIR, 2020)

A Re-visit of the Popularity Baseline in Recommender Systems. - Yitong Ji; Aixin Sun; Jie Zhang 002; Chenliang Li 005 (SIGIR, 2020)

CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network. - Cheng Zhao; Chenliang Li 005; Rong Xiao 005; Hongbo Deng; Aixin Sun (SIGIR, 2020)

On Offline Evaluation of Recommender Systems. - Yitong Ji; Aixin Sun; Jie Zhang 002; Chenliang Li 005 (CoRR, 2020)

NEXT: a neural network framework for next POI recommendation. - Zhiqian Zhang; Chenliang Li 005; Zhiyong Wu 003; Aixin Sun; Dengpan Ye; Xiangyang Luo 003 (Frontiers Comput. Sci., 2020)

An overview of microblog user geolocation methods. - Xiangyang Luo 003; Yaqiong Qiao; Chenliang Li 005; Jiangtao Ma; Yimin Liu (Inf. Process. Manag., 2020)

Adversarial Attacks on Deep-learning Models in Natural Language Processing: A Survey. - Wei Emma Zhang; Quan Z. Sheng; Ahoud Alhazmi; Chenliang Li 005 (ACM Trans. Intell. Syst. Technol., 2020)

An Attention-based Deep Relevance Model for Few-shot Document Filtering. - Bulou Liu; Chenliang Li 005; Wei Zhou; Feng Ji; Yu Duan; Haiqing Chen (ACM Trans. Inf. Syst., 2020)

HASTE: A Distributed System for Hybrid and Adaptive Processing on Streaming Spatial-Textual Data. - Zhong Yang; Bolong Zheng; Chengdong Tong; Lianggui Weng; Chenliang Li 005; Guohui Li 001 (CIKM, 2021)

Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation. - Xiaohai Tong; Pengfei Wang 009; Chenliang Li 005; Long Xia; Shaozhang Niu (IJCAI, 2021)

Path-based Deep Network for Candidate Item Matching in Recommenders. - Houyi Li; Zhihong Chen; Chenliang Li 005; Rong Xiao 005; Hongbo Deng; Peng Zhang 001; Yongchao Liu 004; Haihong Tang (SIGIR, 2021)

Conversational vs Traditional: Comparing Search Behavior and Outcome in Legal Case Retrieval. - Bulou Liu; Yueyue Wu; Yiqun Liu 001; Fan Zhang 053; Yunqiu Shao; Chenliang Li 005; Min Zhang 006; Shaoping Ma (SIGIR, 2021)

The World is Binary: Contrastive Learning for Denoising Next Basket Recommendation. - Yuqi Qin; Pengfei Wang 009; Chenliang Li 005 (SIGIR, 2021)

Joint Knowledge Pruning and Recurrent Graph Convolution for News Recommendation. - Yu Tian; Yuhao Yang 002; Xudong Ren; Pengfei Wang 009; Fangzhao Wu; Qian Wang 002; Chenliang Li 005 (SIGIR, 2021)

Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert Networks. - Xichuan Niu; Bofang Li; Chenliang Li 005; Jun Tan; Rong Xiao 005; Hongbo Deng (WSDM, 2021)

Information retrieval: a view from the Chinese IR community. - Zhumin Chen; Xueqi Cheng; Shoubin Dong; Zhicheng Dou; Jiafeng Guo; Xuanjing Huang 001; Yanyan Lan; Chenliang Li 005; Ru Li; Tie-Yan Liu; Yiqun Liu 001; Jun Ma 001; et al. (Frontiers Comput. Sci., 2021)

Do Loyal Users Enjoy Better Recommendations?: Understanding Recommender Accuracy from a Time Perspective. - Yitong Ji; Aixin Sun; Jie Zhang 002; Chenliang Li 005 (ICTIR, 2022)

Inheriting the Wisdom of Predecessors: A Multiplex Cascade Framework for Unified Aspect-based Sentiment Analysis. - Hao Fei 001; Fei Li 021; Chenliang Li 005; Shengqiong Wu; Jingye Li; Donghong Ji (IJCAI, 2022)

Global Inference with Explicit Syntactic and Discourse Structures for Dialogue-Level Relation Extraction. - Hao Fei 001; Jingye Li; Shengqiong Wu; Chenliang Li 005; Donghong Ji; Fei Li 021 (IJCAI, 2022)

Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation. - Yuhao Yang 002; Chao Huang 001; Lianghao Xia; Yuxuan Liang; Yanwei Yu; Chenliang Li 005 (KDD, 2022)

Mutual Disentanglement Learning for Joint Fine-Grained Sentiment Classification and Controllable Text Generation. - Hao Fei 001; Chenliang Li 005; Donghong Ji; Fei Li 021 (SIGIR, 2022)

User-Aware Multi-Interest Learning for Candidate Matching in Recommenders. - Zheng Chai; Zhihong Chen; Chenliang Li 005; Rong Xiao 005; Houyi Li; Jiawei Wu 008; Jingxu Chen; Haihong Tang (SIGIR, 2022)

Co-training Disentangled Domain Adaptation Network for Leveraging Popularity Bias in Recommenders. - Zhihong Chen; Jiawei Wu 008; Chenliang Li 005; Jingxu Chen; Rong Xiao 005; Binqiang Zhao (SIGIR, 2022)

An Attribute-Driven Mirror Graph Network for Session-based Recommendation. - Siqi Lai; Erli Meng; Fan Zhang 053; Chenliang Li 005; Bin Wang 004; Aixin Sun (SIGIR, 2022)

Multi-Agent RL-based Information Selection Model for Sequential Recommendation. - Kaiyuan Li; Pengfei Wang 009; Chenliang Li 005 (SIGIR, 2022)

Is News Recommendation a Sequential Recommendation Task? - Chuhan Wu; Fangzhao Wu; Tao Qi; Chenliang Li 005; Yongfeng Huang 001 (SIGIR, 2022)

Knowledge Graph Contrastive Learning for Recommendation. - Yuhao Yang 002; Chao Huang 001; Lianghao Xia; Chenliang Li 005 (SIGIR, 2022)

Price DOES Matter!: Modeling Price and Interest Preferences in Session-based Recommendation. - Xiaokun Zhang 001; Bo Xu 009; Liang Yang 003; Chenliang Li 005; Fenglong Ma; Haifeng Liu 002; Hongfei Lin (SIGIR, 2022)

Automatic Expert Selection for Multi-Scenario and Multi-Task Search. - Xinyu Zou; Zhi Hu; Yiming Zhao; Xuchu Ding; Zhongyi Liu; Chenliang Li 005; Aixin Sun (SIGIR, 2022)

Modality Matches Modality: Pretraining Modality-Disentangled Item Representations for Recommendation. - Teng-Yue Han; Pengfei Wang 009; Shaozhang Niu; Chenliang Li 005 (WWW, 2022)

Recommender May Not Favor Loyal Users. - Yitong Ji; Aixin Sun; Jie Zhang 002; Chenliang Li 005 (CoRR, 2022)

Query Generation and Buffer Mechanism: Towards a better conversational agent for legal case retrieval. - Bulou Liu; Yueyue Wu; Fan Zhang 053; Yiqun Liu 001; Zhihong Wang; Chenliang Li 005; Min Zhang 006; Shaoping Ma (Inf. Process. Manag., 2022)

GAFM: A Knowledge Graph Completion Method Based on Graph Attention Faded Mechanism. - Jiangtao Ma; Duanyang Li; Haodong Zhu; Chenliang Li 005; Qiuwen Zhang; Yaqiong Qiao (Inf. Process. Manag., 2022)

Dynamic intent-aware iterative denoising network for session-based recommendation. - Xiaokun Zhang 001; Hongfei Lin; Bo Xu 009; Chenliang Li 005; Yuan Lin 001; Haifeng Liu 002; Fenglong Ma (Inf. Process. Manag., 2022)

Wavefront-Based Multiple Rumor Sources Identification by Multi-Task Learning. - Ming Dong 004; Bolong Zheng; Guohui Li 001; Chenliang Li 005; Kai Zheng 001; Xiaofang Zhou 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

A Survey on Deep Learning for Named Entity Recognition. - Jing Li 034; Aixin Sun; Jianglei Han; Chenliang Li 005 (IEEE Trans. Knowl. Data Eng., 2022)

Joint Document-Level Event Extraction via Token-Token Bidirectional Event Completed Graph. - Qizhi Wan; Changxuan Wan; Keli Xiao; Dexi Liu; Chenliang Li 005; Bolong Zheng; Xiping Liu; Rong Hu (ACL (1), 2023)

Tutorial: Data Denoising Metrics in Recommender Systems. - Pengfei Wang 009; Chenliang Li 005; Lixin Zou; Zhichao Feng; Kaiyuan Li; Xiaochen Li; Xialong Liu; Shangguang Wang (CIKM, 2023)

Leveraging Event Schema to Ask Clarifying Questions for Conversational Legal Case Retrieval. - Bulou Liu; Yiran Hu; Qingyao Ai; Yiqun Liu 001; Yueyue Wu; Chenliang Li 005; Weixing Shen (CIKM, 2023)

Investigating Conversational Agent Action in Legal Case Retrieval. - Bulou Liu; Yiran Hu; Yueyue Wu; Yiqun Liu 001; Fan Zhang 053; Chenliang Li 005; Min Zhang 006; Shaoping Ma; Weixing Shen (ECIR (1), 2023)

A Survey on Deep Learning for Named Entity Recognition : Extended Abstract. - Jing Li 034; Aixin Sun; Jianglei Han; Chenliang Li 005 (ICDE, 2023)

Towards Multi-Interest Pre-training with Sparse Capsule Network. - Zuoli Tang; Lin Wang 098; Lixin Zou; Xiaolu Zhang; Jun Zhou 011; Chenliang Li 005 (SIGIR, 2023)

Multi-Scenario Ranking with Adaptive Feature Learning. - Yu Tian; Bofang Li; Si Chen 010; Xubin Li; Hongbo Deng; Jian Xu 015; Bo Zheng 007; Qian Wang 002; Chenliang Li 005 (SIGIR, 2023)

Poisoning Self-supervised Learning Based Sequential Recommendations. - Yanling Wang; Yuchen Liu; Qian Wang 002; Cong Wang 001; Chenliang Li 005 (SIGIR, 2023)

Beyond Two-Tower: Attribute Guided Representation Learning for Candidate Retrieval. - Hongyu Shan; Qishen Zhang; Zhongyi Liu; Guannan Zhang; Chenliang Li 005 (WWW, 2023)

Unconfounded Propensity Estimation for Unbiased Ranking. - Dan Luo 004; Lixin Zou; Qingyao Ai; Zhiyu Chen 001; Chenliang Li 005; Dawei Yin; Brian D. Davison 001 (CoRR, 2023)

One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems. - Zuoli Tang; Zhaoxin Huan; Zihao Li 005; Xiaolu Zhang; Jun Hu; Chilin Fu; Jun Zhou 011; Chenliang Li 005 (CoRR, 2023)

On the Opportunities of Green Computing: A Survey. - You Zhou; Xiujing Lin; Xiang Zhang 001; Maolin Wang 001; Gangwei Jiang; Huakang Lu; Yupeng Wu; Kai Zhang 038; Zhe Yang; Kehang Wang; Yongduo Sui; Fengwei Jia; et al. (CoRR, 2023)

A Critical Study on Data Leakage in Recommender System Offline Evaluation. - Yitong Ji; Aixin Sun; Jie Zhang 002; Chenliang Li 005 (ACM Trans. Inf. Syst., 2023)

Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. - Qingyao Ai; Ting Bai; Zhao Cao; Yi Chang 001; Jiawei Chen 007; Zhumin Chen; Zhiyong Cheng 001; Shoubin Dong; Zhicheng Dou; Fuli Feng; Shen Gao; Jiafeng Guo; et al. (AI Open, 2023)

On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training. - Hao Fei 001; Tat-Seng Chua; Chenliang Li 005; Donghong Ji; Meishan Zhang; Yafeng Ren (ACM Trans. Inf. Syst., 2023)

Dynamic global structure enhanced multi-channel graph neural network for session-based recommendation. - Xiaofei Zhu; Gu Tang; Pengfei Wang 009; Chenliang Li 005; Jiafeng Guo; Stefan Dietze (Inf. Sci., 2023)

Pre-Training Across Different Cities for Next POI Recommendation. - Ke Sun 010; Tieyun Qian; Chenliang Li 005; Xuan Ma; Qing Li 001; Ming Zhong 002; Yuanyuan Zhu 001; Mengchi Liu (ACM Trans. Web, 2023)

Efficient Sparse Attention needs Adaptive Token Release. - Chaoran Zhang; Lixin Zou; Dan Luo 004; Xiangyang Luo 001; Zihao Li 005; Min Tang; Chenliang Li 005 (ACL (Findings), 2024)

Spectral and Geometric Spaces Representation Regularization for Multi-Modal Sequential Recommendation. - Zihao Li 005; Xuekong Xu; Zuoli Tang; Lixin Zou; Qian Wang 002; Chenliang Li 005 (CIKM, 2024)

TEXT CAN BE FAIR: Mitigating Popularity Bias with PLMs by Learning Relative Preference. - Zuoli Tang; Zhaoxin Huan; Zihao Li 005; Shirui Hu; Xiaolu Zhang; Jun Zhou 011; Lixin Zou; Chenliang Li 005 (CIKM, 2024)

LT2R: Learning to Online Learning to Rank for Web Search. - Xiaokai Chu; Changying Hao; Shuaiqiang Wang; Dawei Yin; Jiashu Zhao; Lixin Zou; Chenliang Li 005 (ICDE, 2024)

Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset. - Zhaoxin Huan; Ke Ding; Ang Li 043; Xiaolu Zhang; Xu Min; Yong He 009; Liang Zhang; Jun Zhou 011; Linjian Mo; Jinjie Gu; Zhongyi Liu; Wenliang Zhong; et al. (SIGIR, 2024)

Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation. - Dan Luo 004; Lixin Zou; Qingyao Ai; Zhiyu Chen 001; Chenliang Li 005; Dawei Yin; Brian D. Davison 001 (SIGIR, 2024)

Contextual MAB Oriented Embedding Denoising for Sequential Recommendation. - Zhichao Feng; Pengfei Wang 009; Kaiyuan Li; Chenliang Li 005; Shangguang Wang (WSDM, 2024)

Unified Visual Preference Learning for User Intent Understanding. - Yihua Wen; Si Chen 010; Yu Tian; Wanxian Guan; Pengjie Wang 002; Hongbo Deng; Jian Xu 015; Bo Zheng 007; Zihao Li 005; Lixin Zou; Chenliang Li 005 (WSDM, 2024)

Side Information-Driven Session-based Recommendation: A Survey. - Xiaokun Zhang 001; Bo Xu 009; Chenliang Li 005; Yao Zhou; Liangyue Li; Hongfei Lin (CoRR, 2024)

Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective. - Xuan Ma; Zepeng Bao; Ming Zhong 002; Yuanyuan Zhu 001; Chenliang Li 005; Jiawei Jiang 001; Qing Li 001; Tieyun Qian (CoRR, 2024)

Identifying influential nodes in complex networks via Transformer. - Leiyang Chen; Ying Xi; Liang Dong; Manjun Zhao; Chenliang Li 005; Xiao Liu 004; Xiaohui Cui (Inf. Process. Manag., 2024)

Disentangle interest trend and diversity for sequential recommendation. - Zihao Li 005; Yunfan Xie; Wei Emma Zhang; Pengfei Wang 009; Lixin Zou; Fei Li 021; Xiangyang Luo 001; Chenliang Li 005 (Inf. Process. Manag., 2024)

Beyond Co-Occurrence: Multi-Modal Session-Based Recommendation. - Xiaokun Zhang 001; Bo Xu 009; Fenglong Ma; Chenliang Li 005; Liang Yang 003; Hongfei Lin (IEEE Trans. Knowl. Data Eng., 2024)

DiffuRec: A Diffusion Model for Sequential Recommendation. - Zihao Li 005; Aixin Sun; Chenliang Li 005 (ACM Trans. Inf. Syst., 2024)

Bi-preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation. - Xiaokun Zhang 001; Bo Xu 009; Fenglong Ma; Chenliang Li 005; Yuan Lin 001; Hongfei Lin (ACM Trans. Inf. Syst., 2024)

City Matters! A Dual-Target Cross-City Sequential POI Recommendation Model. - Ke Sun 010; Chenliang Li 005; Tieyun Qian (ACM Trans. Inf. Syst., 2024)

Toward Bias-Agnostic Recommender Systems: A Universal Generative Framework. - Zhidan Wang; Lixin Zou; Chenliang Li 005; Shuaiqiang Wang; Xu Chen 017; Dawei Yin; Weidong Liu 001 (ACM Trans. Inf. Syst., 2024)

Token-level Preference Self-Alignment Optimization for Multi-style Outline Controllable Generation. - Zihao Li 005; Xuekong Xu; Ziyao Chen; Lixin Zou; Ethanhjwu Ethanhjwu; Qiang Chen; Chenliang Li 005 (ACL (Findings), 2025)

Weak-to-Strong Honesty Alignment via Learning-to-Rank Supervision. - Yunfan Xie; Lixin Zou; Dan Luo 004; Min Tang; Chenliang Li 005 (ACL (Findings), 2025)

AIGuard: A Benchmark and Lightweight Detection for E-commerce AIGC Risks. - Wenhua Zhang; Weicheng Li; Xuanrong Rao; Lixin Zou; Xiangyang Luo 001; Chubin Zhuang; Yongjie Hong; Zhen Qin; Hengyun Chang; Chenliang Li 005; Bo Zheng 007 (ACL (Findings), 2025)

META-LORA: Memory-Efficient Sample Reweighting for Fine-Tuning Large Language Models. - Weicheng Li; Lixin Zou; Min Tang; Qing Yu; Wanli Li 002; Chenliang Li 005 (COLING, 2025)

Mitigating Language Confusion through Inference-time Intervention. - Yunfan Xie; Lixin Zou; Dan Luo 004; Min Tang; Chenliang Li 005; Liming Dong 003; Xiangyang Luo 001 (COLING, 2025)

Flow Matching Based Sequential Recommender Model. - Feng Liu; Lixin Zou; Xiangyu Zhao 001; Min Tang; Liming Dong 003; Dan Luo 004; Xiangyang Luo 001; Chenliang Li 005 (IJCAI, 2025)

Towards Accurate Social User Geolocation: Mean Shift, Incremental Learning and Graph Convolutional Networks. - Yaqiong Qiao; Aobo Jiao; Xiangyang Luo 001; Chenliang Li 005; Jiangtao Ma; Chenkai Guo (SIGIR, 2025)

Efficient and explainable sequential recommendation with language model. - Zihao Li 005; Lixin Zou; Chao Ma; Chenliang Li 005 (Inf. Process. Manag., 2025)

Sequential recommendation by reprogramming pretrained transformer. - Min Tang; Shujie Cui; Zhe Jin; Shiuan-Ni Liang; Chenliang Li 005; Lixin Zou (Inf. Process. Manag., 2025)

Data4RACTC. - Xuan Ma; Zepeng Bao; Ming Zhong 002; Yuanyuan Zhu 001; Chenliang Li 005; Jiawei Jiang 001; Qing Li 001; Tieyun Qian (IEEE DataPort, 2025)

Structure-Aware Conversational Legal Case Retrieval. - Bulou Liu; Yiran Hu; Qingyao Ai; Yueyue Wu; Yiqun Liu 001; Chenliang Li 005; Fan Zhang 053; Weixing Shen; Chong Chen 001; Qi Tian 001 (ACM Trans. Inf. Syst., 2025)

Multi-Interest Recommendation: A Survey. - Zihao Li 005; Qiang Chen; Lixin Zou; Aixin Sun; Chenliang Li 005 (CoRR, 2025)

HORAE: Temporal Multi-Interest Pre-training for Sequential Recommendation. - Shirui Hu; Weichang Wu; Zuoli Tang; Zhaoxin Huan; Lin Wang 098; Xiaolu Zhang; Jun Zhou 011; Lixin Zou; Chenliang Li 005 (ACM Trans. Inf. Syst., 2025)

Generating Clarifying Questions for Conversational Legal Case Retrieval without External Knowledge. - Bulou Liu; Yiran Hu; Qingyao Ai; Yiqun Liu 001; Yueyue Wu; Chenliang Li 005; Weixing Shen (ACM Trans. Inf. Syst., 2025)

Uniform Graph Pre-training and Prompting for Transferable Recommendation. - Qing Yu; Lixin Zou; Xiangyang Luo 001; Xiangyu Zhao 001; Chenliang Li 005 (ACM Trans. Inf. Syst., 2025)

LFD: Layer Fused Decoding to Exploit External Knowledge in Retrieval-Augmented Generation. - Yang Sun; Lixin Zou; Dan Luo 004; Zhiyong Xie; Long Zhang; Liming Dong 003; Yunwei Zhao; Xixun Lin; Yanxiong Lu; Chenliang Li 005 (CoRR, 2025)

A Survey on Side Information-Driven Session-Based Recommendation: From a Data-Centric Perspective. - Xiaokun Zhang 001; Bo Xu 009; Chenliang Li 005; Bowei He; Hongfei Lin; Chen Ma 001; Fenglong Ma (IEEE Trans. Knowl. Data Eng., 2025)

One Model for All: Large Language Models Are Domain-Agnostic Recommendation Systems. - Zuoli Tang; Zhaoxin Huan; Zihao Li 005; Xiaolu Zhang; Jun Hu; Chilin Fu; Jun Zhou 011; Lixin Zou; Chenliang Li 005 (ACM Trans. Inf. Syst., 2025)