Lixin Zou

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 57

Top Topics

Matrix Factorization

Reinforcement Learning

Recommender Systems

Top Venues

Publications

Yuanguo Lin, Fan Lin, Guorong Cai, Hong Chen, Lixin Zou, Pengcheng Wu
Evolutionary Reinforcement Learning: A Systematic Review and Future Directions. CoRR (2024)
Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Qian Wang, Dawei Yin
Whole Page Unbiased Learning to Rank. WWW (2024)
Chaoran Zhang, Lixin Zou, Dan Luo, Min Tang, Xiangyang Luo, Zihao Li, Chenliang Li
Efficient Sparse Attention needs Adaptive Token Release. CoRR (2024)
Xiaokai Chu, Changying Hao, Shuaiqiang Wang, Dawei Yin, Jiashu Zhao, Lixin Zou, Chenliang Li
R: Learning to Online Learning to Rank for Web Search. ICDE (2024)
Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison
Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation. SIGIR (2024)
Chaoran Zhang, Lixin Zou, Dan Luo, Xiangyang Luo, Zihao Li, Min Tang, Chenliang Li
Efficient Sparse Attention needs Adaptive Token Release. ACL (Findings) (2024)
Xixun Lin, Chuan Zhou, Jia Wu, Lixin Zou, Shirui Pan, Yanan Cao, Bin Wang, Shuaiqiang Wang, Dawei Yin
Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation. IEEE Trans. Knowl. Data Eng. 36 (4) (2024)
Zihao Li, Yunfan Xie, Wei Emma Zhang, Pengfei Wang, Lixin Zou, Fei Li, Xiangyang Luo, Chenliang Li
Disentangle interest trend and diversity for sequential recommendation. Inf. Process. Manag. 61 (2) (2024)
Wanli Li, Tieyun Qian, Xuhui Li, Lixin Zou
Adversarial Multi-Teacher Distillation for Semi-Supervised Relation Extraction. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Siyuan Guo, Lixin Zou, Hechang Chen, Bohao Qu, Haotian Chi, Philip S. Yu, Yi Chang
Sample Efficient Offline-to-Online Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 36 (3) (2024)
Yihua Wen, Si Chen, Yu Tian, Wanxian Guan, Pengjie Wang, Hongbo Deng, Jian Xu, Bo Zheng, Zihao Li, Lixin Zou, Chenliang Li
Unified Visual Preference Learning for User Intent Understanding. WSDM (2024)
Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison
Unconfounded Propensity Estimation for Unbiased Ranking. CoRR (2023)
Kesen Zhao, Lixin Zou, Xiangyu Zhao, Maolin Wang, Dawei Yin
User Retention-oriented Recommendation with Decision Transformer. WWW (2023)
Zuoli Tang, Lin Wang, Lixin Zou, Xiaolu Zhang, Jun Zhou, Chenliang Li
Towards Multi-Interest Pre-training with Sparse Capsule Network. SIGIR (2023)
Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Dawei Yin, Brian D. Davison
Model-based Unbiased Learning to Rank. WSDM (2023)
Lixin Zou, Weixue Lu, Yiding Liu, Hengyi Cai, Xiaokai Chu, Dehong Ma, Daiting Shi, Yu Sun, Zhicong Cheng, Simiu Gu, Shuaiqiang Wang, Dawei Yin
Pre-trained Language Model-based Retrieval and Ranking for Web Search. ACM Trans. Web 17 (1) (2023)
Kesen Zhao, Lixin Zou, Xiangyu Zhao, Maolin Wang, Dawei Yin
User Retention-oriented Recommendation with Decision Transformer. CoRR (2023)
Pengfei Wang, Chenliang Li, Lixin Zou, Zhichao Feng, Kaiyuan Li, Xiaochen Li, Xialong Liu, Shangguang Wang
Tutorial: Data Denoising Metrics in Recommender Systems. CIKM (2023)
Chengxi Li, Yejing Wang, Qidong Liu, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Lixin Zou, Wenqi Fan, Qing Li
STRec: Sparse Transformer for Sequential Recommendations. RecSys (2023)
Lixin Zou, Changying Hao, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Wenwen Ye, Zhicong Cheng, Simiu Gu, Dawei Yin
Approximated Doubly Robust Search Relevance Estimation. CoRR (2022)
Xiaokai Chu, Jiashu Zhao, Lixin Zou, Dawei Yin
H-ERNIE: A Multi-Granularity Pre-Trained Language Model for Web Search. SIGIR (2022)
Pan Du, Jian-Yun Nie, Yutao Zhu, Hao Jiang, Lixin Zou, Xiaohui Yan
PReGAN: Answer Oriented Passage Ranking with Weakly Supervised GAN. CoRR (2022)
Wenwen Ye, Yiding Liu, Lixin Zou, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Dawei Yin
Fast Semantic Matching via Flexible Contextualized Interaction. WSDM (2022)
Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Dawei Yin
Whole Page Unbiased Learning to Rank. CoRR (2022)
Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Dawei Yin, Brian D. Davison
Model-based Unbiased Learning to Rank. CoRR (2022)
Lixin Zou, Changying Hao, Hengyi Cai, Shuaiqiang Wang, Suqi Cheng, Zhicong Cheng, Wenwen Ye, Simiu Gu, Dawei Yin
Approximated Doubly Robust Search Relevance Estimation. CIKM (2022)
Lixin Zou, Haitao Mao, Xiaokai Chu, Jiliang Tang, Wenwen Ye, Shuaiqiang Wang, Dawei Yin
A Large Scale Search Dataset for Unbiased Learning to Rank. CoRR (2022)
Xiaokai Chu, Jiashu Zhao, Xinxin Fan, Di Yao, Zhihua Zhu, Lixin Zou, Dawei Yin, Jingping Bi
Contrastive Disentangled Graph Convolutional Network for Weakly-Supervised Classification. DASFAA (1) (2022)
Lixin Zou, Haitao Mao, Xiaokai Chu, Jiliang Tang, Wenwen Ye, Shuaiqiang Wang, Dawei Yin
A Large Scale Search Dataset for Unbiased Learning to Rank. NeurIPS (2022)
Zhidan Wang, Wenwen Ye, Xu Chen, Wenqiang Zhang, Zhenlei Wang, Lixin Zou, Weidong Liu
Generative Session-based Recommendation. WWW (2022)
Lixin Zou, Shengqiang Zhang, Hengyi Cai, Dehong Ma, Suqi Cheng, Daiting Shi, Shuaiqiang Wang, Zhicong Cheng, Dawei Yin
Pre-trained Language Model based Ranking in Baidu Search. CoRR (2021)
Lixin Zou, Long Xia, Linfang Hou, Xiangyu Zhao, Dawei Yin
Data-Efficient Reinforcement Learning for Malaria Control. CoRR (2021)
Lixin Zou, Shengqiang Zhang, Hengyi Cai, Dehong Ma, Suqi Cheng, Shuaiqiang Wang, Daiting Shi, Zhicong Cheng, Dawei Yin
Pre-trained Language Model based Ranking in Baidu Search. KDD (2021)
Lixin Zou
Data-Efficient Reinforcement Learning for Malaria Control. IJCAI (2021)
Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang
Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation. SIGIR (2021)
Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang
Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation. CoRR (2021)
Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang
UserSim: User Simulation via Supervised GenerativeAdversarial Network. WWW (2021)
Zhenzhen Li, Jian-Yun Nie, Benyou Wang, Pan Du, Yuhan Zhang, Lixin Zou, Dongsheng Li
Meta-Learning for Neural Relation Classification with Distant Supervision. CIKM (2020)
Yufan Hou, Lixin Zou, Weidong Liu
Task-based Focal Loss for Adversarially Robust Meta-Learning. ICPR (2020)
Lixin Zou, Long Xia, Yulong Gu, Xiangyu Zhao, Weidong Liu, Jimmy Xiangji Huang, Dawei Yin
Neural Interactive Collaborative Filtering. CoRR (2020)
Zhiwen Shao, Lixin Zou, Jianfei Cai, Yunsheng Wu, Lizhuang Ma
Spatio-Temporal Relation and Attention Learning for Facial Action Unit Detection. CoRR (2020)
Lixin Zou, Long Xia, Yulong Gu, Xiangyu Zhao, Weidong Liu, Jimmy Xiangji Huang, Dawei Yin
Neural Interactive Collaborative Filtering. SIGIR (2020)
Lixin Zou, Long Xia, Pan Du, Zhuo Zhang, Ting Bai, Weidong Liu, Jian-Yun Nie, Dawei Yin
Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation. WSDM (2020)
Zhenzhen Li, Jian-Yun Nie, Benyou Wang, Pan Du, Yuhan Zhang, Lixin Zou, Dongsheng Li
Meta-Learning for Neural Relation Classification with Distant Supervision. CoRR (2020)
Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang
Whole-Chain Recommendations. CIKM (2020)
Yulong Gu, Zhuoye Ding, Shuaiqiang Wang, Lixin Zou, Yiding Liu, Dawei Yin
Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems. CIKM (2020)
Jinlin Lai, Lixin Zou, Jiaxing Song
Optimal Mixture Weights for Off-Policy Evaluation with Multiple Behavior Policies. CoRR (2020)
Lixin Zou, Long Xia, Zhuoye Ding, Jiaxing Song, Weidong Liu, Dawei Yin
Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems. CoRR (2019)
Ting Bai, Lixin Zou, Wayne Xin Zhao, Pan Du, Weidong Liu, Jian-Yun Nie, Ji-Rong Wen
CTRec: A Long-Short Demands Evolution Model for Continuous-Time Recommendation. SIGIR (2019)
Lixin Zou, Long Xia, Zhuoye Ding, Jiaxing Song, Weidong Liu, Dawei Yin
Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems. KDD (2019)
Lixin Zou, Long Xia, Zhuoye Ding, Dawei Yin, Jiaxing Song, Weidong Liu
Reinforcement Learning to Diversify Top-N Recommendation. DASFAA (2) (2019)
Yulong Gu, Jiaxing Song, Weidong Liu, Lixin Zou, Yuan Yao
CAMF: Context Aware Matrix Factorization for Social Recommendation. Web Intell. 16 (1) (2018)
Lixin Zou, Yulong Gu, Jiaxing Song, Weidong Liu, Yuan Yao
HDNN-CF: A hybrid deep neural networks collaborative filtering architecture for event recommendation. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2017)
Lixin Zou, Yulong Gu, Jiaxing Song, Weidong Liu, Yuan Yao
Long short-term memory based recurrent neural networks for collaborative filtering. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2017)
Yulong Gu, Jiaxing Song, Weidong Liu, Lixin Zou
HLGPS: A Home Location Global Positioning System in Location-Based Social Networks. ICDM (2016)
Yulong Gu, Jiaxing Song, Weidong Liu, Lixin Zou, Yuan Yao
Context Aware Matrix Factorization for Event Recommendation in Event-Based Social Networks. WI (2016)
Yulong Gu, Jiaxing Song, Weidong Liu, Yuan Yao, Lixin Zou
Towards Accurate Relation Extraction from Wikipedia. WI (2016)