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Associate Professor.
Collaborator: Chenliang Li.
Staff Algorithm Engineer.
Mentor: Dawei Yin.
Ph.D. in Computer Science & Technology (Outstanding Graduate).
Advisor: Weidong Liu.
Exchange Student at the Laboratoire RALI of Université de Montréal.
Advisor: Jian-Yun Nie.
BEng. in Microelectronics (Outstanding Graduate).
A Survey on Reinforcement Learning for Recommender Systems.
Yuanguo Lin, Yong Liu, Fan Lin*, Lixin Zou*, Pengcheng Wu, Wenhua Zeng, Huanhuan Chen, Chunyan Miao.
*Corresponding Author. To appear on TNNLS 2023.
Adversarial Multi-Teacher Distillation for Semi-Supervised Relation Extraction.
Wanli Li, Tieyun Qian*, Xuhui Li, Lixin Zou.
*Corresponding Author. To appear on TNNLS 2023.
User Retention-oriented Recommendation with Decision Transformer.
Kesen Zhao,Lixin Zou*, Xiangyu Zhao*, Maolin Wang, Dawei Yin.
* Corresponding Author. To appear on WWW 2023.
Whole Page Unbiased Learning to Rank.
Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Dawei Yin.
Preprint on arXiv.[PDF]
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, CCF-A.[PDF] [CODE]
Model-based Unbiased Learning to Rank.
Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Dawei Yin, Brian D Davison.
WSDM 2023, CCF-B, Tsinghua-A. [PDF]
Approximated Doubly Robust Search Relevance Estimation.
Lixin Zou, Changying Hao, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Wenwen Ye, Zhicong Cheng, Simu Gu, Dawei Yin.
CIKM 2022, CCF-B. [PDF]
A Hierarchical Multi-Granularity Pre-Trained Language Model for Web Search.
Xiaokai Chu, Jiashu Zhao, Lixin Zou, Dawei Yin.
SIGIR 2022, CCF-A. [PDF]
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.
DASFAA 2022, CCF-B. [PDF]
Generative Session-based Recommendation.
Zhidan Wang, Wenwen Ye, Xu Chen, Wenqiang Zhang, Zhenlei Wang, Lixin Zou and Weidong Liu.
WWW 2022, CCF-A. [PDF]
Fast Semantic Matching via Flexible Contextualized Interaction.
Wenwen Ye, Yiding Liu, Lixin Zou, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Dawei Yin.
WSDM 2022, CCF-B, Tsinghua-A. [PDF]
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.
KDD 2021, CCF-A. [PDF]
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.
* Corresponding author, SIGIR 2021, CCF-A. [PDF]
Data-Efficient Reinforcement Learning for Malaria Control.
Lixin Zou, Long Xia, Linfang Hou, Xiangyu Zhao, Dawei Yin.
IJCAI 2021, CCF-A. [PDF][CODE]
Whole-Chain Recommendations.
Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang.
CIKM 2020, CCF-B. [PDF]
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, CCF-B. [PDF]
Meta-Learning for Neural Relation Classification with Distant Supervision.
Zhenzhen Li, Jian-Yun Nie, Benyou Wang, Pan Du, Yuhan Zhang, Lixin Zou, Dongsheng Li.
CIKM 2020, CCF-B. [PDF]
Task-based Focal Loss for Adversarially Robust Meta-Learning.
Yufang Hou, Lixin Zou, Weidong Liu.
ICPR 2020, Tsinghua-B. [PDF]
Neural Interactive Collaborativei Filtering.
Lixin Zou, Long Xia, Yulong Gu, Xiangyu Zhao, Weidong Liu, Jimmy Xiangji Huang, Dawei Yin.
SIGIR 2020, CCF-A. [PDF]
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.
WSDM 2020, CCF-B, Tsinghua-A. [PDF]
UserSim: User Simulation via Supervised Generative Adversarial Network.
Xiangyu Zhao, Long Xia, Lixin Zou, Dawei Yin, Jiliang Tang.
WWW 2021, CCF-A. [PDF]
Reinforcement learning to optimize long-term user engagement in recommender systems.
Lixin Zou, Long Xia, Zhuoye Ding, Jiaxing Song, Weidong Liu, Dawei Yin.
KDD 2019, CCF-A. [PDF]
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.
* Co-first author, SIGIR 2019, CCF-A. [PDF]
Reinforcement Learning to Diversify Top-N Recommendation.
Lixin Zou, Long Xia, Zhuoye Ding, Dawei Yin, Jiaxing Song, Weidong Liu.
DASFAA 2019, CCF-B. [PDF]
HLGPS: a home location global positioning system in location-based social networks.
Yulong Gu, Jiaxing Song, Weidong Liu, Lixin Zou.
ICDM 2016, CCF-B. [PDF]