Haozhi Qi

Email: hqi AT berkeley.edu
Google Scholar & GitHub & Twitter
I am a Ph.D. Candidate at UC Berkeley advised by Prof. Yi Ma and Prof. Jitendra Malik, and a visiting researcher at Meta AI. My research focuses on the intersection of robotics, computer vision, tactile sensing, and machine learning. I am particularly interested in developing algorithms for generalizable and robust robot manipulation via the integration of deep learning and visuotactile sensing.
I obtained my Bachelor's degree from Hong Kong University of Science and Technology (HKUST) advised by Prof. Chi-Keung Tang. I also spent two years in Microsoft Research Asia (MSRA) where I was a research intern advised by Dr. Jifeng Dai and Dr. Yichen Wei.


  • Co-organize Workshop on Dexterous Manipulation: Design, Perception and Control at RSS 2024.
  • Co-organize Workshop on Touch Processing: a new Sensing Modality for AI at NeurIPS 2023.
  • Papers (*indicates equal technical contribution)

    Code Release Progress: 12 / 16 (75%).
    Learning In-Hand Translation Using Tactile Skin With Shear and Normal Force Sensing
    Jessica Yin, Haozhi Qi, Jitendra Malik, James Pikul, Mark Yim, Tess Hellebrekers
    Tech Report, Jul 2024
    [Paper] [Website] [Summary]
    Learning Visuotactile Skills with Two Multifingered Hands
    Toru Lin, Yu Zhang*, Qiyang Li*, Haozhi Qi*, Brent Yi, Sergey Levine, Jitendra Malik
    Tech Report, Apr 2024
    [Paper] [Code] [Website] [Summary]
    Twisting Lids Off with Two Hands
    Toru Lin*, Zhao-Heng Yin*, Haozhi Qi, Pieter Abbeel, Jitendra Malik
    Tech Report, Mar 2024
    [Paper] [Website] [Video] [Summary]
    General In-Hand Object Rotation with Vision and Touch
    Haozhi Qi, Brent Yi, Sudharshan Suresh, Mike Lambeta, Yi Ma, Roberto Calandra, Jitendra Malik
    Conference on Robot Learning (CoRL), 2023
    [Paper] [Website] [Video] [Summary]
    Neural feels with Neural Fields: Visuo-tactile Perception for In-Hand Manipulation
    Sudharshan Suresh, Haozhi Qi, Tingfan Wu, Taosha Fan, Luis Pineda, Mike Lambeta, Jitendra Malik, Mrinal Kalakrishnan, Roberto Calandra, Michael Kaess, Joe Ortiz, Mustafa Mukadam
    Tech Report, Dec 2023
    [Paper] [Website] [Video]
    Perceiving Extrinsic Contacts from Touch Improves Learning Insertion Policies
    Carolina Higuera, Joseph Ortiz, Haozhi Qi, Luis Pineda, Byron Boots, Mustafa Mukadam
    Tech Report, Sep 2023
    [Paper] [Code] [Video] [Summary]
    In-Hand Object Rotation via Rapid Motor Adaptation
    Haozhi Qi*, Ashish Kumar*, Roberto Calandra, Yi Ma, Jitendra Malik
    Conference on Robot Learning (CoRL), 2022
    [Paper] [Code] [Website] [Video] [Summary]
    Outstanding Demo Award at NeurIPS 2023 Robot Learning Workshop
    Coupling Vision and Proprioception for Navigation of Legged Robots
    Zipeng Fu*, Ashish Kumar*, Ananye Agarwal, Haozhi Qi, Jitendra Malik, Deepak Pathak
    Computer Vision and Pattern Recognition (CVPR), 2022
    [Paper] [Code] [Website] [Video] [Summary]
    ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction
    Kwan Ho Ryan Chan*, Yaodong Yu*, Chong You*, Haozhi Qi, John Wright, Yi Ma
    Journal of Machine Learning Research (JMLR), accepted in 2022
    [Paper] [Code] [Summary]
    Learning Long-term Visual Dynamics with Region Proposal Interaction Networks
    Haozhi Qi, Xiaolong Wang, Deepak Pathak, Yi Ma, Jitendra Malik
    International Conference on Learning Representations (ICLR), 2021
    [Paper] [Code] [Website] [Summary]
    Deep Isometric Learning for Visual Recognition
    Haozhi Qi, Chong You, Xiaolong Wang, Yi Ma, Jitendra Malik
    International Conference on Machine Learning (ICML), 2020
    [Paper] [Code] [Website] [Video] [Summary]
    NeurVPS: Neural Vanishing Point Scanning via Conic Convolution
    Yichao Zhou, Haozhi Qi, Jingwei Huang, Yi Ma
    Neural Information Processing System (NIPS), 2019
    [Paper] [Code]
    Learning to Reconstruct 3D Manhattan Wireframes from a Single Image
    Yichao Zhou, Haozhi Qi, Yuexiang Zhai, Qi Sun, Zhili Chen, Li-Yi Wei, Yi Ma
    International Conference on Computer Vision (ICCV), 2019 (Oral, 4.3% acceptance rate)
    [Paper] [Code]
    End-to-End Wireframe Parsing
    Yichao Zhou, Haozhi Qi, Yi Ma
    International Conference on Computer Vision (ICCV), 2019
    [Paper] [Code]
    Deformable Convolutional Networks
    Jifeng Dai*, Haozhi Qi*, Yuwen Xiong*, Yi Li*, Guodong Zhang*, Han Hu, Yichen Wei
    International Conference on Computer Vision (ICCV), 2017 (Oral, 2.1% acceptance rate)
    [Paper] [Code]
    Fully Convolutional Instance-aware Semantic Segmentation
    Yi Li*, Haozhi Qi*, Jifeng Dai, Xiangyang Ji, Yichen Wei
    Computer Vision and Pattern Recognition (CVPR), 2017 (Spotlight, 8.0% acceptance rate)
    [Paper] [Code]