Publications

2024

  1. arXiv
    End-to-end Training for Recommendation with Language-based User Profiles
    Gao, Zhaolin, Zhou, Joyce, Dai, Yijia, and Joachims, Thorsten
    In Preprint 2024
    PDF Code
  2. arXiv
    Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF
    Gao, Zhaolin, Zhan, Wenhao, Chang, Jonathan D., Swamy, Gokul, Brantley, Kianté, Lee, Jason D., and Sun, Wen
    In Preprint 2024
    PDF Model Code
  3. NeurIPS
    REBEL: Reinforcement Learning via Regressing Relative Rewards
    Gao, Zhaolin, Chang, Jonathan D., Zhan, Wenhao, Oertell, Owen, Swamy, Gokul, Brantley, Kianté, Joachims, Thorsten, Bagnell, J. Andrew, Lee, Jason D., and Sun, Wen
    In Advances in Neural Information Processing Systems 2024
    PDF Model Code
  4. arXiv
    Reviewer2: Optimizing Review Generation Through Prompt Generation
    Gao, Zhaolin, Brantley, Kianté, and Joachims, Thorsten
    In Preprint 2024
    PDF Model Code dataset

2022

  1. RecSys
    Session-based Recommendation With Transformers
    Lu, Yichao,  Gao, Zhaolin*, Cheng, Zhaoyue*, Sun, Jianing*, Brown, Bradley, Yu, Guangwei, Wong, Anson, Perez, Felipe, and Volkovs, Maksims
    In Proceedings of the Recommender Systems Challenge 2022
    PDF
  2. SIGIR
    Mitigating the Filter Bubble while Maintaining Relevance: Targeted Diversification with VAE-based Recommender Systems
    Gao, Zhaolin, Shen, Tianshu, Mai, Zheda, Bouadjenek, Mohamed Reda, Waller, Isaac, Anderson, Ashton, Bodkin, Ron, and Sanner, Scott
    In Proceedings of the 45th International ACM SIGIR Conference 2022
    PDF Code
  3. WWW
    MCL: Mixed-Centric Loss for Collaborative Filtering
    Gao, Zhaolin*, Cheng, Zhaoyue*, Perez, Felipe, Sun, Jianing, and Volkovs, Maksims
    In Proceedings of the ACM Web Conference 2022
    PDF Code

2020

  1. CVPR
    Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data
    Lin, Wanyu,  Gao, Zhaolin, and Li, Baochun
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2020
    PDF Code
  2. INFOCOM
    Guardian: Evaluating Trust in Online Social Networks with Graph Convolutional Networks
    Lin, Wanyu,  Gao, Zhaolin, and Li, Baochun
    In Proceedings of IEEE INFOCOM 2020
    PDF Code