Fei Ni   倪飞

Ph.D. Candidate

Email: fei_ni at tju dot edu dot cn

Fei-Ni

Research Interests

My current research interests span reinforcement learning and robotics learning with a series of topics, such as model based reinforcement learning, generative modeling and learning, and embodied AI.


News

  • 2024.02.27, one paper is accepted to CVPR'24.
  • 2024.01.12, one paper is accepted to ICLR'24.
  • 2023.04.25, two papers are accepted to ICML'23.
  • 2023.01.22, one paper is accepted to ICLR'23.
  • 2022.11.20, one paper is accepted to AAAI'23.
  • 2022.09.15, one paper is accepted to NeurIPS'22.
  • 2021.05.20, one paper is accepted to KDD'21.

    • Publications (Google Scholar)

    Conference Papers

    Generate Subgoal Images before Act: Unlocking the Chain-of-Thought Reasoning in Diffusion Model for Robot Manipulation with Multimodal Prompts.

    Fei Ni, Jianye Hao, Shiguang Wu, Longxin Kou, Jiashun Liu, Yan Zheng, Bin Wang, Yuzheng Zhuang.

    The IEEE/CVF Conference on Computer Vision and Pattern Recognition ( CVPR ), 2024. (CCF-A)

    AlignDiff: Aligning Diverse Human Preferences Via Behavior-customisable Diffusion Model.

    Zibin Dong , Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Tangjie Lv, Changjie Fan, Zhipeng Hu.

    The 12th International Conference on Learning Representations ( ICLR ), 2024.

    AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners. [arXiv] [webpage]

    Zhixuan Liang, Yao Mu, Mingyu Ding, Fei Ni, Masayoshi Tomizuka, Ping Luo.

    The Fortieth International Conference on Machine Learning ( ICML ), Oral, 2023. (CCF-A)

    MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL. [webpage]

    Fei Ni, Jianye Hao, Yao Mu, Yifu Yuan, Yan Zheng, Bin Wang, Zhixuan Liang.

    The Fortieth International Conference on Machine Learning ( ICML ), 2023. (CCF-A)

    EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model. [arXiv] [webpage]

    Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Jinyi Liu, Yingfeng Chen, Changjie Fan.

    The 11th International Conference on Learning Representations ( ICLR ), 2023.

    SplitNet: A Reinforcement Learning based Sequence Splitting Method for the MinMax Multiple Travelling Salesman Problem. [talk]

    Hebin Liang, Yi Ma, Zilin Cao, Tianyang Liu, Fei Ni, Zhigang Li, Jianye Hao.

    Thirty-Sixth AAAI Conference on Artificial Intelligence ( AAAI ), 2022. (CCF-A)

    DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning. [arXiv] [webpage]

    Yao Mu, Yuzheng Zhuang, Fei Ni, Bin Wang, Jianyu Chen, Jianye Hao, Ping Luo.

    Advances in Neural Information Processing Systems( NeurIPS ), 2022, 35: 27563-27575 . (CCF-A)

    A Multi-Graph Attributed Reinforcement Learning based Optimization Algorithm for Large-scale Hybrid Flow Shop Scheduling Problem. [arXiv]

    Fei Ni, Jianye Hao, Jiawen Lu, Xialiang Tong, Mingxuan Yuan, Jiahui Duan, Yi Ma, Kun He

    Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining ( KDD ), 2021: 3441-3451. (CCF-A)

    Journal Papers

    Adaptive simulated annealing with greedy search for the circle bin packing problem. [Paper]

    Kun He, Kevin Tole, Fei Ni, Yong Yuan, Linyun Liao.

    Computers & Operations Research ( COR ), in press, 2021. (SCI Q1, IF=5.159)
    Adaptive simulated annealing with greedy search for the circle bin packing problem. [arXiv]

    Yong Yuan, Kevin Tole, Fei Ni, Kun He, Zhengda Xiong, Jinfa Liu.

    Computers & Operations Research ( COR ), in press, 2022. (SCI Q1, IF=5.159)

    Awards

  • 2021.06, Outstanding Graduate of Huazhong University of Science and Technology, 2021.
  • 2018.06, Outstanding Undergraduate of Huazhong University of Science and Technology, 2018.

    • Industrial Experience

    Academic Experience:Reviewer

    Reviewers: NeurIPS'23.

    Invited Talks