Lixin Zou

According to our database, Lixin Zou authored at least 55 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Sequential recommendation by reprogramming pretrained transformer.

Min Tang, Shujie Cui, Zhe Jin, Shiuan-Ni Liang, Chenliang Li, Lixin Zou

Inf. Process. Manag., 2025

2024

A Survey on Reinforcement Learning for Recommender Systems.

Yuanguo Lin, Yong Liu, Fan Lin, Lixin Zou, Pengcheng Wu, Wenhua Zeng, Huanhuan Chen, Chunyan Miao

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Adversarial Multi-Teacher Distillation for Semi-Supervised Relation Extraction.

Wanli Li, Tieyun Qian, Xuhui Li, Lixin Zou

IEEE Trans. Neural Networks Learn. Syst., August, 2024

Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation.

Xixun Lin, Chuan Zhou, Jia Wu, Lixin Zou, Shirui Pan, Yanan Cao, Bin Wang, Shuaiqiang Wang, Dawei Yin

IEEE Trans. Knowl. Data Eng., April, 2024

Sample Efficient Offline-to-Online Reinforcement Learning.

Siyuan Guo, Lixin Zou, Hechang Chen, Bohao Qu, Haotian Chi, Philip S. Yu, Yi Chang

IEEE Trans. Knowl. Data Eng., March, 2024

Disentangle interest trend and diversity for sequential recommendation.

Zihao Li, Yunfan Xie, Wei Emma Zhang, Pengfei Wang, Lixin Zou, Fei Li, Xiangyang Luo, Chenliang Li

Inf. Process. Manag., March, 2024

Evolutionary Reinforcement Learning: A Systematic Review and Future Directions.

Yuanguo Lin, Fan Lin, Guorong Cai, Hong Chen, Lixin Zou, Pengcheng Wu

CoRR, 2024

Whole Page Unbiased Learning to Rank.

Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Qian Wang, Dawei Yin

Proceedings of the ACM on Web Conference 2024, 2024

Unified Visual Preference Learning for User Intent Understanding.

Yihua Wen, Si Chen, Yu Tian, Wanxian Guan, Pengjie Wang, Hongbo Deng, Jian Xu, Bo Zheng, Zihao Li, Lixin Zou, Chenliang Li

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation.

Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Unbiased Recommendation Through Invariant Representation Learning.

Min Tang, Lixin Zou, Shujie Cui, Shiuan-Ni Liang, Zhe Jin

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification.

Xixun Lin, Wenxiao Zhang, Fengzhao Shi, Chuan Zhou, Lixin Zou, Xiangyu Zhao, Dawei Yin, Shirui Pan, Yanan Cao

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

TEXT CAN BE FAIR: Mitigating Popularity Bias with PLMs by Learning Relative Preference.

Zuoli Tang, Zhaoxin Huan, Zihao Li, Shirui Hu, Xiaolu Zhang, Jun Zhou, Lixin Zou, Chenliang Li

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Efficient and Robust Regularized Federated Recommendation.

Langming Liu, Wanyu Wang, Xiangyu Zhao, Zijian Zhang, Chunxu Zhang, Shanru Lin, Yiqi Wang, Lixin Zou, Zitao Liu, Xuetao Wei, Hongzhi Yin, Qing Li

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Spectral and Geometric Spaces Representation Regularization for Multi-Modal Sequential Recommendation.

Zihao Li, Xuekong Xu, Zuoli Tang, Lixin Zou, Qian Wang, Chenliang Li

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Efficient Sparse Attention needs Adaptive Token Release.

Chaoran Zhang, Lixin Zou, Dan Luo, Xiangyang Luo, Zihao Li, Min Tang, Chenliang Li

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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, Zhicong Cheng, Simiu Gu, Shuaiqiang Wang, Dawei Yin

ACM Trans. Web, February, 2023

Unconfounded Propensity Estimation for Unbiased Ranking.

Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison

CoRR, 2023

User Retention-oriented Recommendation with Decision Transformer.

Kesen Zhao, Lixin Zou, Xiangyu Zhao, Maolin Wang, Dawei Yin

Proceedings of the ACM Web Conference 2023, 2023

Model-based Unbiased Learning to Rank.

Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Dawei Yin, Brian D. Davison

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Towards Multi-Interest Pre-training with Sparse Capsule Network.

Zuoli Tang, Lin Wang, Lixin Zou, Xiaolu Zhang, Jun Zhou, Chenliang Li

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

STRec: Sparse Transformer for Sequential Recommendations.

Chengxi Li, Yejing Wang, Qidong Liu, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Lixin Zou, Wenqi Fan, Qing Li

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Learning to Resolve Conflicts in Multi-Task Learning.

Min Tang, Zhe Jin, Lixin Zou, Shiuan-Ni Liang

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Tutorial: Data Denoising Metrics in Recommender Systems.

Pengfei Wang, Chenliang Li, Lixin Zou, Zhichao Feng, Kaiyuan Li, Xiaochen Li, Xialong Liu, Shangguang Wang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Whole Page Unbiased Learning to Rank.

Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Dawei Yin

CoRR, 2022

PReGAN: Answer Oriented Passage Ranking with Weakly Supervised GAN.

Pan Du, Jian-Yun Nie, Yutao Zhu, Hao Jiang, Lixin Zou, Xiaohui Yan

CoRR, 2022

Generative Session-based Recommendation.

Zhidan Wang, Wenwen Ye, Xu Chen, Wenqiang Zhang, Zhenlei Wang, Lixin Zou, Weidong Liu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Fast Semantic Matching via Flexible Contextualized Interaction.

Wenwen Ye, Yiding Liu, Lixin Zou, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Dawei Yin

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

H-ERNIE: A Multi-Granularity Pre-Trained Language Model for Web Search.

Xiaokai Chu, Jiashu Zhao, Lixin Zou, Dawei Yin

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Contrastive Disentangled Graph Convolutional Network for Weakly-Supervised Classification.

Xiaokai Chu, Jiashu Zhao, Xinxin Fan, Di Yao, Zhihua Zhu, Lixin Zou, Dawei Yin, Jingping Bi

Proceedings of the Database Systems for Advanced Applications, 2022

Approximated Doubly Robust Search Relevance Estimation.

Lixin Zou, Changying Hao, Hengyi Cai, Shuaiqiang Wang, Suqi Cheng, Zhicong Cheng, Wenwen Ye, Simiu Gu, Dawei Yin

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Data-Efficient Reinforcement Learning for Malaria Control.

Lixin Zou, Long Xia, Linfang Hou, Xiangyu Zhao, Dawei Yin

CoRR, 2021

UserSim: User Simulation via Supervised GenerativeAdversarial Network.

Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang

Proceedings of the WWW '21: The Web Conference 2021, 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

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Data-Efficient Reinforcement Learning for Malaria Control.

Lixin Zou

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Optimal Mixture Weights for Off-Policy Evaluation with Multiple Behavior Policies.

Jinlin Lai, Lixin Zou, Jiaxing Song

CoRR, 2020

Spatio-Temporal Relation and Attention Learning for Facial Action Unit Detection.

Zhiwen Shao, Lixin Zou, Jianfei Cai, Yunsheng Wu, Lizhuang Ma

CoRR, 2020

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

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Neural Interactive Collaborative Filtering.

Lixin Zou, Long Xia, Yulong Gu, Xiangyu Zhao, Weidong Liu, Jimmy Xiangji Huang, Dawei Yin

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Task-based Focal Loss for Adversarially Robust Meta-Learning.

Yufan Hou, Lixin Zou, Weidong Liu

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Whole-Chain Recommendations.

Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Meta-Learning for Neural Relation Classification with Distant Supervision.

Zhenzhen Li, Jian-Yun Nie, Benyou Wang, Pan Du, Yuhan Zhang, Lixin Zou, Dongsheng Li

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

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

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

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

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems.

Lixin Zou, Long Xia, Zhuoye Ding, Jiaxing Song, Weidong Liu, Dawei Yin

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Reinforcement Learning to Diversify Top-N Recommendation.

Lixin Zou, Long Xia, Zhuoye Ding, Dawei Yin, Jiaxing Song, Weidong Liu

Proceedings of the Database Systems for Advanced Applications, 2019

2018

CAMF: Context Aware Matrix Factorization for Social Recommendation.

Yulong Gu, Jiaxing Song, Weidong Liu, Lixin Zou, Yuan Yao

Web Intell., 2018

2017

Long short-term memory based recurrent neural networks for collaborative filtering.

Lixin Zou, Yulong Gu, Jiaxing Song, Weidong Liu, Yuan Yao

Proceedings of the 2017 IEEE SmartWorld, 2017

HDNN-CF: A hybrid deep neural networks collaborative filtering architecture for event recommendation.

Lixin Zou, Yulong Gu, Jiaxing Song, Weidong Liu, Yuan Yao

Proceedings of the 2017 IEEE SmartWorld, 2017

2016

Context Aware Matrix Factorization for Event Recommendation in Event-Based Social Networks.

Yulong Gu, Jiaxing Song, Weidong Liu, Lixin Zou, Yuan Yao

Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

Towards Accurate Relation Extraction from Wikipedia.

Yulong Gu, Jiaxing Song, Weidong Liu, Yuan Yao, Lixin Zou

Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

HLGPS: A Home Location Global Positioning System in Location-Based Social Networks.

Yulong Gu, Jiaxing Song, Weidong Liu, Lixin Zou

Proceedings of the IEEE 16th International Conference on Data Mining, 2016