Publications

Generative Causality-driven Network for Graph Multi-task Learning

Xixun Lin, Yu Qing, Yanan Cao, Lixin Zou, Chuan Zhou, Jia Wu, Chenliang Li, Peng Zhang, Shirui Pan

TPAMI Transactions on Pattern Analysis and Machine Intelligence

Who You Are Matters: Bridging Interests and Social Roles via LLM-Enhanced Logic

Qing Yu, Xiaobei Wang, Shuchang Liu, cheng.feng, Xiaoyu Yang, Xueliang Wang, Chang Meng, Shanshan Wu, HailanYang, Bin Wen, Huihui Xiao, Xiang Li, Fan Yang, Xiaoqiang Feng, Lantao Hu, Han Li, Kun Gai, Lixin Zou* (*Corresponding Author)

NeurIPS 2025 The Thirty-ninth Annual Conference on Neural Information Processing Systems

AIGuard: A Benchmark and Lightweight Detection for E-commerce AIGC Risks

Wenhua Zhang, Xuanrong Rao, Weicheng Li, Lixin Zou*, Xiangyang Luo, Chubin Zhuang, Yongjie Hong, Zhen Qin, Hengyu Chang, Chenliang Li, Bo Zheng* (*Corresponding Author)

ACL Findings 2025 The 63rd Annual Meeting of the Association for Computational Linguistics (Findings)

Token-level Preference Self-Alignment Optimization for Multi-style Outline Controllable Generation

Zihao Li, Xuekong Xu, Ziyao Chen, Lixin Zou, Ethanhjwu, Qiang Chen, Chenliang Li (*Corresponding Author)

ACL Findings 2025 The 63rd Annual Meeting of the Association for Computational Linguistics (Findings)

Weak-to-Strong Honesty Alignment via Learning-to-Rank Supervision

Yunfan Xie, Lixin Zou*, Dan Luo, Min Tang, Chenliang Li (*Corresponding Author)

ACL Findings 2025 The 63rd Annual Meeting of the Association for Computational Linguistics (Findings)

Flow Matching based Sequential Recommender Model

Feng Liu, Lixin Zou*, Xiangyu Zhao, Min Tang, Liming Dong, Dan Luo, Xiangyang Luo*, Chenliang Li (*Corresponding Author)

IJCAI 2025 The 34th International Joint Conference on Artificial Intelligence.(CCF-A)

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation

Maolin Wang, Tianshuo Wei, Sheng Zhang, Ruocheng Guo, Wangyu Wang, Shanshan Ye, Lixin Zou, Xuetao Wei, Xiangyu Zhao*

IJCAI 2025 The 34th International Joint Conference on Artificial Intelligence.(CCF-A)

Uniform Graph Pre-training and Prompting for Transferable Recommendation

Qing Yu, Lixin Zou*, Xiangyang Luo*, Xiangyu Zhao, Chenliang Li (*Corresponding Author)

TOIS 2025 ACM Transactions on Information Systems.(CCF-A)

Mitigating Language Confusion through Inference-time Intervention

Yunfan Xie, Lixin Zou*, Dan Luo, Min Tang, Chenliang Li, Liming Dong, Xiangyang Luo* (*Corresponding Author)

COLING 2025 The 31st International Conference on Computational Linguistics.(CCF-B)

META-LORA：Memory-Efficient Sample Reweighting for Fine-Tuning Large Language Models

Weicheng Li, Lixin Zou*, Min Tang, Qing Yu, Wanli Li, Chenliang Li (*Corresponding Author)

COLING 2025 The 31st International Conference on Computational Linguistics.(CCF-B)

CHIFRAUD：A Long-term Web Text Benchmark for Chinese Fraud Detection

Min Tang, Lixin Zou*, Shiuan-ni Liang, Zhe Jin, Weiqing Wang, Shujie Cui (*Corresponding Author)

COLING 2025 The 31st International Conference on Computational Linguistics.(CCF-B, Best Social Impact Paper)

Sequential Recommendation by Reprogramming Pretrained Transformer

Min Tang, Shujie Cui, Zhe Jin, Shiuan-ni Liang, Chenliang Li, Lixin Zou* (*Corresponding Author)

IPM 2025 (Best Journal Paper Award in RecSys 2025) Information Processing & Management 62 (1), 103938. (SCI-1, CCF-B, Best Journal Paper Award Winner in RecSys 2025)

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

Zihao Li, Xuekong Xu, Zuoli Tang, Lixin Zou, Qian Wang, Chenliang Li (*Corresponding Author)

CIKM 2024 The 33rd ACM International Conference on Information and Knowledge Management. (CCF-B)

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* (*Corresponding Author)

CIKM 2024 The 33rd ACM International Conference on Information and Knowledge Management. (CCF-B)

Unbiased Recommendation Through Invariant Representation Learning

Min Tang, Lixin Zou*, Shujie Cui, Shiuan-ni Liang, Zhe Jin (*Corresponding Author)

ECML 2024 Joint European Conference on Machine Learning and Knowledge Discovery in Databases. (CCF-B)

Efficient Sparse Attention needs Adaptive Token Release

Chaoran Zhang, Lixin Zou*, Dan Luo, Xiangyang Luo, Zihao Li, Min Tang, Chenliang Li (*Corresponding Author)

ACL Findings 2024 Findings of the Association for Computational Linguistics ACL 2024. (CCF-A)

Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation

Dan Luo, Lixin Zou*, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison (*Corresponding Author)

SIGIR 2024 The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval. (CCF-A)

Toward Bias-Agnostic Recommender Systems：A Universal Generative Framework

Zhidan Wang, Lixin Zou*, Chenliang Li, Shuaiqiang Wang, Xu Chen, Dawei Yin, Weidong Liu (*Corresponding Author)

TOIS 2024 ACM Transactions on Information Systems 2024. (CCF-A)

Whole Page Unbiased Learning to Rank

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

WWW 2024 The ACM on Web Conference 2024. (CCF-A)

LT^2R：Learning to Online Learning to Rank for Web Search

Xiaokai Chu, Jiashu Zhao, Changying Hao, Shuaiqiang Wang, Dawei Yin, Lixin Zou*, Chenliang Li (*Corresponding Author)

ICDE 2024 2024 IEEE 40th International Conference on Data Engineering (ICDE). (CCF-A)

Model-based Unbiased Learning to Rank

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

WSDM 2023 The 16th ACM International Conference on Web Search and Data Mining. (CCF-B)

Tutorial：Data Denoising Metrics in Recommender Systems

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

CIKM 2023 The 32nd ACM International Conference on Information and Knowledge Management.

STRec：Sparse Transformer for Sequential Recommendations

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

RecSys 2023 The 17th ACM Conference on Recommender Systems. (CCF-B)

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

TKDE 2023 IEEE Transactions on Knowledge and Data Engineering. (CCF-A)

Sample Efficient Offline-to-Online Reinforcement Learning

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

TKDE 2023 IEEE Transactions on Knowledge and Data Engineering. (CCF-A)

Towards Multi-Interest Pre-training with Sparse Capsule Network

Zuoli Tang, Lin Wang, Lixin Zou*, Xiaolu Zhang, Jun Zhou, Chenliang Li* (*Corresponding Author)

SIGIR 2023 The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval.(CCF-A)

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)

TNNLS 2023 IEEE Transactions on Neural Networks and Learning Systems.(SCI-1, CCF-B)

Adversarial Multi-Teacher Distillation for Semi-Supervised Relation Extraction

Wanli Li, Tieyun Qian*, Xuhui Li, Lixin Zou*

TNNLS 2023 IEEE Transactions on Neural Networks and Learning Systems.(SCI-1, CCF-B)

User Retention-oriented Recommendation with Decision Transformer

Kesen Zhao, Lixin Zou**, Xiangyu Zhao*, Maolin Wang, Dawei Yin (*Corresponding Author)

WWW 2023 Proceedings of the ACM Web Conference 2023. (CCF-A)

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 The 36th Conference on Neural Information Processing Systems. (CCF-A)

Pre-trained Language Model based Retrieval and Ranking for Web Search

Lixin Zou*, Weixue Lu*, Yiding Liu*, Hengyi Cai*, Xiaokai Chu, Dehong Ma, Dating Shi, Zhicong Cheng, Simiu Gu, Shuaiqiang Wang, Dawei Yin (*Equal Contribution)

ACM Transactions on the Web ACM Transactions on the Web 17 (1), 1-36.(CCF-B)

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 The 31st International Conference on Information and Knowledge Management.(CCF-B)

A Hierarchical Multi-Granularity Pre-Trained Language Model for Web Search

Xiaokai Chu, Jiashu Zhao, Lixin Zou*, Dawei Yin

SIGIR 2022 The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.(CCF-A)

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 The 27th International Conference on Database Systems for Advanced Applications. (CCF-B)

Generative Session-based Recommendation

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

WWW 2022 Proceedings of the ACM Web Conference 2022.(CCF-A)

Fast Semantic Matching via Flexible Contextualized Interaction

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

WSDM 2022 The 15th ACM International Conference on Web Search and Data Mining.(CCF-B)

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 The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.(CCF-A)

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 (*Corresponding author)

SIGIR 2021 The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval.(CCF-A)

Data-Efficient Reinforcement Learning for Malaria Control

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

IJCAI 2021 The 28th International Joint Conference on Artificial Intelligence.(CCF-A)

UserSim：User Simulation via Supervised Generative Adversarial Network

Xiangyu Zhao, Long Xia, Lixin Zou*, Dawei Yin, Jiliang Tang

WWW 2021 Proceedings of the Web Conference 2021.(CCF-A)

Whole-Chain Recommendations

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

CIKM 2020 The 29th International Conference on Information and Knowledge Management.(CCF-B)

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 The 29th International Conference on Information and Knowledge Management.(CCF-B)

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 The 29th International Conference on Information and Knowledge Management.(CCF-B)

Task-based Focal Loss for Adversarially Robust Meta-Learning

Yufang Hou, Lixin Zou*, Weidong Liu

ICPR 2020 The 25th International Conference on Pattern Recognition.(CCF-C)

Neural Interactive Collaborative Filtering

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

SIGIR 2020 The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval.(CCF-A)

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 The 13th ACM International Conference on Web Search and Data Mining.(CCF-B)

Reinforcement Learning to Diversify Top-N Recommendation

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

DASFAA 2019 The 24th International Conference on Database Systems for Advanced Applications.(CCF-B)

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 The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.(CCF-A)

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 The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval.(CCF-A)

HLGPS：a home location global positioning system in location-based social networks

Yulong Gu, Jiaxing Song, Weidong Liu, Lixin Zou*

ICDM 2016 The 16th IEEE International Conference on Data Mining.(CCF-B)