Lixin Zou

According to our database, Lixin Zou authored at least 41 papers between 2016 and 2024.

Collaborative distances:

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

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

Evolutionary Reinforcement Learning: A Systematic Review and Future Directions.

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

CoRR, 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

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

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