Jie Liu (刘杰)
jieliu [at] ie [dot] cuhk [dot] edu [dot] hk

Hello! I'm currently a first-year Ph.D. student at MMLab, The Chinese University of Hong Kong, supervised by Prof. Wanli Ouyang. Before embarking on my Ph.D. journey, I earned both my Master's degree in Software Engineering in 2023 and my Bachelor's degree in Computer Science and Technology in 2020 from Beihang University. Throughout my academic journey, I've had the privilege of collaborating closely with Prof. Dong Xu and Prof. Yaodong Yang.
I've also interned at SenseTime and Shanghai AI Lab.
My primary research interests are in the fields of Large Language Models and Reinforcement Learning.

News

🥳2023.12: One Paper on Offline-to-Online RL (SO2) is accepted at AAAI 2024!
2023.10: We release MODPO, a multi-objective direct preference optimization algorithm for language models!
2023.10: We release MaskMA, a masked pretraining framework for multi-agent decision-making!
2023.08: Become a Ph.D. student at MMLab in the Chinese University of Hong Kong.
2023.04: One Paper on Autonomous Driving (ASAP-RL) is accepted at RSS 2023!
2022.11: One Paper on Multi-agent RL (ACE) is accepted at AAAI 2023!
2021.03: Inception Convolution is accepted at CVPR 2021 as an oral paper!

Selected Publications

  1. AAAI
    A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning
    Yinmin Zhang*, Jie Liu*, Chuming Li* , Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang
    Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024
  2. Arxiv
    Beyond One-Preference-for-All: Multi-Objective Direct Preference Optimization for Language Models
    Zhanhui Zhou*, Jie Liu*, Chao Yang, Jing Shao, Yu Liu, Xiangyu Yue, Wanli Ouyang, Yu Qiao
    Arxiv, 2023
  3. Arxiv
    Masked Pretraining for Multi-Agent Decision Making
    Jie Liu*, Yinmin Zhang*, Chuming Li, Chao Yang, Yaodong Yang, Yu Liu, Wanli Ouyang
    Arxiv, 2023
  4. RSS
    Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors
    Letian Wang, Jie Liu, Hao Shao, Wenshuo Wang, Ruobing Chen, Yu Liu, Steven L Waslander
    Robotics: Science and Systems (RSS), 2023
  5. AAAI
    ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency
    Chuming Li*, Jie Liu*, Yinmin Zhang, Yuhong Wei, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang
    Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2023
  6. ECAI
    Theoretically Guaranteed Policy Improvement Distilled from Model-Based Planning
    Chuming Li, Ruonan Jia, Jie Liu, Yinmin Zhang, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang
    Proceedings of the European Conference on Artificial Intelligence (ECAI), 2023
  7. CVPR oral
    Inception convolution with efficient dilation search
    Jie Liu*, Chuming Li*, Feng Liang, Chen Lin, Ming Sun, Junjie Yan, Wanli Ouyang, Dong Xu
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
  8. Arxiv
    Adaptive Gradient Method with Resilience and Momentum
    Jie Liu, Chen Lin, Chuming Li, Lu Sheng, Ming Sun, Junjie Yan, Wanli Ouyang
    Arxiv, 2020

Academic Service

    • Conference Reviewer
      NeurIPS 2022, ICML 2023, NeurIPS 2023, ICLR 2024, ICML 2024

Awards

    • National Scholarship for Postgraduates, BUAA, 2020
    • Freshman Scholarship for Undergraduates (Special Prize, 20/3800+), BUAA, 2016