HLGPS: A Home Location Global Positioning System in Location-Based Social Networks. - Yulong Gu; Jiaxing Song; Weidong Liu 001; Lixin Zou (ICDM, 2016)

Towards Accurate Relation Extraction from Wikipedia. - Yulong Gu; Jiaxing Song; Weidong Liu 001; Yuan Yao 013; Lixin Zou (WI, 2016)

Context Aware Matrix Factorization for Event Recommendation in Event-Based Social Networks. - Yulong Gu; Jiaxing Song; Weidong Liu 001; Lixin Zou; Yuan Yao 013 (WI, 2016)

HDNN-CF: A hybrid deep neural networks collaborative filtering architecture for event recommendation. - Lixin Zou; Yulong Gu; Jiaxing Song; Weidong Liu 001; Yuan Yao 013 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

Long short-term memory based recurrent neural networks for collaborative filtering. - Lixin Zou; Yulong Gu; Jiaxing Song; Weidong Liu 001; Yuan Yao 013 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

CAMF: Context Aware Matrix Factorization for Social Recommendation. - Yulong Gu; Jiaxing Song; Weidong Liu 001; Lixin Zou; Yuan Yao 013 (Web Intell., 2018)

Reinforcement Learning to Diversify Top-N Recommendation. - Lixin Zou; Long Xia; Zhuoye Ding; Dawei Yin; Jiaxing Song; Weidong Liu 001 (DASFAA (2), 2019)

Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems. - Lixin Zou; Long Xia; Zhuoye Ding; Jiaxing Song; Weidong Liu 001; Dawei Yin (KDD, 2019)

CTRec: A Long-Short Demands Evolution Model for Continuous-Time Recommendation. - Ting Bai; Lixin Zou; Wayne Xin Zhao; Pan Du 001; Weidong Liu 001; Jian-Yun Nie; Ji-Rong Wen (SIGIR, 2019)

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 (CIKM, 2020)

Meta-Learning for Neural Relation Classification with Distant Supervision. - Zhenzhen Li; Jian-Yun Nie; Benyou Wang; Pan Du 001; Yuhan Zhang 004; Lixin Zou; Dongsheng Li 001 (CIKM, 2020)

Whole-Chain Recommendations. - Xiangyu Zhao 001; Long Xia; Lixin Zou; Hui Liu 031; Dawei Yin; Jiliang Tang (CIKM, 2020)

Task-based Focal Loss for Adversarially Robust Meta-Learning. - Yufan Hou; Lixin Zou; Weidong Liu 001 (ICPR, 2020)

Neural Interactive Collaborative Filtering. - Lixin Zou; Long Xia; Yulong Gu; Xiangyu Zhao 001; Weidong Liu 001; Jimmy Xiangji Huang; Dawei Yin (SIGIR, 2020)

Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation. - Lixin Zou; Long Xia; Pan Du 001; Zhuo Zhang; Ting Bai; Weidong Liu 001; Jian-Yun Nie; Dawei Yin (WSDM, 2020)

Spatio-Temporal Relation and Attention Learning for Facial Action Unit Detection. - Zhiwen Shao; Lixin Zou; Jianfei Cai 001; Yunsheng Wu; Lizhuang Ma (CoRR, 2020)

Optimal Mixture Weights for Off-Policy Evaluation with Multiple Behavior Policies. - Jinlin Lai; Lixin Zou; Jiaxing Song (CoRR, 2020)

Data-Efficient Reinforcement Learning for Malaria Control. - Lixin Zou (IJCAI, 2021)

Pre-trained Language Model based Ranking in Baidu Search. - Lixin Zou; Shengqiang Zhang; Hengyi Cai; Dehong Ma; Suqi Cheng; Shuaiqiang Wang; Daiting Shi; Zhicong Cheng; Dawei Yin (KDD, 2021)

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; Yi Chang 001 (SIGIR, 2021)

UserSim: User Simulation via Supervised GenerativeAdversarial Network. - Xiangyu Zhao 001; Long Xia; Lixin Zou; Hui Liu 031; Dawei Yin; Jiliang Tang (WWW, 2021)

Data-Efficient Reinforcement Learning for Malaria Control. - Lixin Zou; Long Xia; Linfang Hou; Xiangyu Zhao 001; Dawei Yin (CoRR, 2021)

Approximated Doubly Robust Search Relevance Estimation. - Lixin Zou; Changying Hao; Hengyi Cai; Shuaiqiang Wang; Suqi Cheng; Zhicong Cheng; Wenwen Ye; Simiu Gu; Dawei Yin (CIKM, 2022)

Contrastive Disentangled Graph Convolutional Network for Weakly-Supervised Classification. - Xiaokai Chu; Jiashu Zhao; Xinxin Fan; Di Yao 001; Zhihua Zhu; Lixin Zou; Dawei Yin; Jingping Bi (DASFAA (1), 2022)

A Large Scale Search Dataset for Unbiased Learning to Rank. - Lixin Zou; Haitao Mao; Xiaokai Chu; Jiliang Tang; Wenwen Ye; Shuaiqiang Wang; Dawei Yin (NeurIPS, 2022)

H-ERNIE: A Multi-Granularity Pre-Trained Language Model for Web Search. - Xiaokai Chu; Jiashu Zhao; Lixin Zou; Dawei Yin (SIGIR, 2022)

Fast Semantic Matching via Flexible Contextualized Interaction. - Wenwen Ye; Yiding Liu; Lixin Zou; Hengyi Cai; Suqi Cheng; Shuaiqiang Wang; Dawei Yin (WSDM, 2022)

Generative Session-based Recommendation. - Zhidan Wang; Wenwen Ye; Xu Chen 017; Wenqiang Zhang; Zhenlei Wang; Lixin Zou; Weidong Liu 001 (WWW, 2022)

PReGAN: Answer Oriented Passage Ranking with Weakly Supervised GAN. - Pan Du 001; Jian-Yun Nie; Yutao Zhu 001; Hao Jiang 022; Lixin Zou; Xiaohui Yan (CoRR, 2022)

Whole Page Unbiased Learning to Rank. - Haitao Mao; Lixin Zou; Yujia Zheng 001; Jiliang Tang; Xiaokai Chu; Jiashu Zhao; Dawei Yin (CoRR, 2022)

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

Learning to Resolve Conflicts in Multi-Task Learning. - Min Tang; Zhe Jin; Lixin Zou; Shiuan-Ni Liang (ICANN (3), 2023)

Overview of the NTCIR-17 Unbiased Learning to Rank Evaluation 2 (ULTRE-2) Task. - Zechun Niu; Jiaxin Mao; Qingyao Ai; Lixin Zou; Shuaiqiang Wang; Dawei Yin (NTCIR, 2023)

STRec: Sparse Transformer for Sequential Recommendations. - Chengxi Li 013; Yejing Wang; Qidong Liu 002; Xiangyu Zhao 001; Wanyu Wang; Yiqi Wang 001; Lixin Zou; Wenqi Fan; Qing Li 001 (RecSys, 2023)

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

Model-based Unbiased Learning to Rank. - Dan Luo 004; Lixin Zou; Qingyao Ai; Zhiyu Chen 001; Dawei Yin; Brian D. Davison 001 (WSDM, 2023)

User Retention-oriented Recommendation with Decision Transformer. - Kesen Zhao; Lixin Zou; Xiangyu Zhao 001; Maolin Wang 001; Dawei Yin (WWW, 2023)

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

Pre-trained Language Model-based Retrieval and Ranking for Web Search. - Lixin Zou; Weixue Lu; Yiding Liu; Hengyi Cai; Xiaokai Chu; Dehong Ma; Daiting Shi; Yu Sun 029; Zhicong Cheng; Simiu Gu; Shuaiqiang Wang; Dawei Yin (ACM Trans. Web, 2023)

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

Efficient and Robust Regularized Federated Recommendation. - Langming Liu; Wanyu Wang; Xiangyu Zhao 001; Zijian Zhang 009; Chunxu Zhang; Shanru Lin; Yiqi Wang 001; Lixin Zou; Zitao Liu 001; Xuetao Wei; Hongzhi Yin; Qing Li 001 (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 (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 (ICDE, 2024)

Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification. - Xixun Lin; Wenxiao Zhang; Fengzhao Shi; Chuan Zhou 001; Lixin Zou; Xiangyu Zhao 001; Dawei Yin; Shirui Pan; Yanan Cao 001 (ICML, 2024)

Unbiased Recommendation Through Invariant Representation Learning. - Min Tang; Lixin Zou; Shujie Cui; Shiuan-Ni Liang; Zhe Jin (ECML/PKDD (10), 2024)

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

Whole Page Unbiased Learning to Rank. - Haitao Mao; Lixin Zou; Yujia Zheng 001; Jiliang Tang; Xiaokai Chu; Jiashu Zhao; Qian Wang 002; Dawei Yin (WWW, 2024)

Evolutionary Reinforcement Learning: A Systematic Review and Future Directions. - Yuanguo Lin; Fan Lin; Guorong Cai; Hong Chen; Lixin Zou; Pengcheng Wu (CoRR, 2024)

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

Sample Efficient Offline-to-Online Reinforcement Learning. - Siyuan Guo; Lixin Zou; Hechang Chen; Bohao Qu; Haotian Chi; Philip S. Yu; Yi Chang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation. - Xixun Lin; Chuan Zhou 001; Jia Wu 001; Lixin Zou; Shirui Pan; Yanan Cao 001; Bin Wang 004; Shuaiqiang Wang; Dawei Yin (IEEE Trans. Knowl. Data Eng., 2024)

Adversarial Multi-Teacher Distillation for Semi-Supervised Relation Extraction. - Wanli Li 002; Tieyun Qian; Xuhui Li 001; Lixin Zou (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Survey on Reinforcement Learning for Recommender Systems. - Yuanguo Lin; Yong Liu 020; Fan Lin; Lixin Zou; Pengcheng Wu; Wenhua Zeng; Huanhuan Chen; Chunyan Miao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Toward Bias-Agnostic Recommender Systems: A Universal Generative Framework. - Zhidan Wang; Lixin Zou; Chenliang Li; 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 (ACL (Findings), 2025)

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

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

CHIFRAUD: A Long-term Web Text Dataset for Chinese Fraud Detection. - Min Tang; Lixin Zou; Zhe Jin; Shujie Cui; Shiuan-Ni Liang; Weiqing Wang (COLING, 2025)

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

Generative Meta-Learning for Zero-Shot Relation Triplet Extraction. - Wanli Li 002; Tieyun Qian; Yi Song; Zeyu Zhang 004; Jiawei Li 008; Zhuang Chen 002; Lixin Zou (SIGIR, 2025)

Conformal Graph-level Out-of-distribution Detection with Adaptive Data Augmentation. - Xixun Lin; Yanan Cao 001; Nan Sun; Lixin Zou; Chuan Zhou 001; Peng Zhang 001; Shuai Zhang; Ge Zhang 002; Jia Wu 001 (WWW, 2025)

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

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

IBPL: Information Bottleneck-based Prompt Learning for graph out-of-distribution detection. - Yanan Cao 001; Fengzhao Shi; Qing Yu; Xixun Lin; Chuan Zhou 001; Lixin Zou; Peng Zhang 001; Zhao Li 007; Dawei Yin (Neural Networks, 2025)

Who You Are Matters: Bridging Topics and Social Roles via LLM-Enhanced Logical Recommendation. - Qing Yu; Xiaobei Wang; Shuchang Liu 006; Yandong Bai; Xiaoyu Yang; Xueliang Wang; Chang Meng; Shanshan Wu; Hailan Yang; Huihui Xiao; Xiang Li; Fan Yang 094; et al. (CoRR, 2025)

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

Contrastive Modality-Disentangled Learning for Multimodal Recommendation. - Xixun Lin; Rui Liu 032; Yanan Cao 001; Lixin Zou; Qian Li 003; Yongxuan Wu; Yang Liu 320; Dawei Yin; Guandong Xu (ACM Trans. Inf. Syst., 2025)

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

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation. - Maolin Wang 001; Tianshuo Wei; Sheng Zhang 028; Ruocheng Guo; Wanyu Wang; Shanshan Ye; Lixin Zou; Xuetao Wei; Xiangyu Zhao 001 (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 (ACM Trans. Inf. Syst., 2025)

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