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Hanjiang Hu   profile photo

I am a PhD candidate in the Department of Electrical and Computer Engineering (ECE) and Master of Machine Learning (MSML) student at CMU, fortunately advised by Prof. Changliu Liu at the Robotics Institute, School of Computer Science. I got my bachelor degree in Mechanical Engineering (Tsien Hsue-shen Honor Program) and master degree in Control Science and Engineering at Shanghai Jiao Tong University in 2018 and 2021, advised by Prof. Hesheng Wang. I also had a wonderful time as a summer intern at BCAI and MSC Lab, UC Berkeley.
My research focuses on safety and robustness at the intersection of robotics, control theory, and machine learning. Specifically, I am working on the provably guaranteed safety and formal verification of learning-based dynamical systems for decision making in robotics, Scientific ML and Generative AI. I am also interested in the adversarial and OOD robustness caused by semantic transformation in the real-world robotics and autonomous driving applications.


News and Updates

  • Apr. 2025: Our neural network verificaiton toolbox ModelVerification.jl is accepted to CAV 2025!
  • Feb. 2025: One paper about safe neural PDE control is accepted to L4DC 2025
  • Sept. 2024: One paper about sensor-placement-aware robust perception is accepted to NeurIPS 2024 as a Spotlight
  • Sept. 2024: One paper about verification of neural CBF is accepted to CoRL 2024
  • Jul. 2024: We have released our new comprehensive NN verificaiton toolbox ModelVerification.jl, check out PDF for details
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  • Selected Publications and Preprints (* indicates equal contribution, full publications can be found here)

    hpp Steering Dialogue Dynamics for Robustness against Multi-turn Jailbreaking Attacks
    Hanjiang Hu, Alexander Robey and Changliu Liu
    arxiv, pre-print
    PDF, demo, code
    hpp On the Boundary Feasibility for PDE Control with Neural Operators
    Hanjiang Hu and Changliu Liu
    2025 Learning for Dynamics & Control Conference (L4DC)
    PDF, demo, code
    hpp Verification of Neural Control Barrier Functions with Symbolic Derivative Bounds Propagation
    Hanjiang Hu, Yujie Yang, Tianhao Wei, and Changliu Liu
    2024 Conference on Robot Learning (CoRL)
    PDF, demo, code
    hpp Real-Time Safe Control of Neural Network Dynamic Models with Sound Approximation
    Hanjiang Hu, Jianglin Lan and Changliu Liu
    2024 Learning for Dynamics & Control Conference (L4DC), in adjunct with Princeton Workshop on Optimization, Learning, and Control
    PDF, demo, code
    hpp Is Your LiDAR Placement Optimized for 3D Scene Understanding?
    Ye Li, Lingdong Kong, Hanjiang Hu, Xiaohao Xu, and Xiaonan Huang
    2024 Conference on Neural Information Processing Systems (NeurIPS)
    Spotlight (2.5% = 388/15671)
    PDF, demo, code
    hpp Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations
    Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu and Ding Zhao
    2024 International Conference on Artificial Intelligence and Statistics (AISTATS)
    PDF, demo, code
    hpp Influence of Camera-LiDAR Configuration on 3D Object Detection for Autonomous Driving
    Ye Li*, Hanjiang Hu*, Zuxin Liu, Xiaohao Xu, Ding Zhao and Xiaonan Huang
    2024 IEEE International Conference on Robotics and Automation (ICRA)
    PDF, demo, code
    hpp RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions
    Lingdong Kong, Shaoyuan Xie, Hanjiang Hu, Lai Xing Ng, Benoit R. Cottereau and Wei Tsang Ooi
    2023 Conference on Neural Information Processing Systems (NeurIPS), in adjunct with CVPR 2023 Vision-Centric Autonomous Driving (VCAD) Workshop
    PDF, project, code, the RoboDepth Challenge
    hpp Robustness Certification of Visual Perception Models via Camera Motion Smoothing
    Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu and Ding Zhao
    2022 Conference on Robot Learning (CoRL)
    PDF, demo, code, MetaRoom Dataset
    hpp Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving
    Hanjiang Hu*, Zuxin Liu*, Sharad Chitlangia, Akhil Agnihotri and Ding Zhao
    2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
    PDF, demo, code
    hpp DASGIL: Domain Adaptation for Semantic and Geometric-aware Image-based Localization
    Hanjiang Hu, Zhijian Qiao, Ming Cheng, Zhe Liu and Hesheng Wang
    IEEE Transactions on Image Processing (T-IP), Dec. 2020
    PDF, demo, code
    hpp Retrieval-based Localization Based on Domain-invariant Feature Learning under Changing Environments
    Hanjiang Hu, Zhe Liu, Weidong Chen and Hesheng Wang
    2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
    PDF, demo, code

    Interesting Robot Projects

    hpp hpp An autonomous delivery robot: perception, localization, planning
    Hanjiang Hu, Zuxin Liu, Jiayin Xia, Jiarun Wei, Congtao Kuang, Jinchi Zhang, Zijian Guo and Ding Zhao
    2021-2022 at CMU, feel free to reach out if you are interested in it!
    News, documentation
    hpp hpp An intelligent robot grasping system: object detection, segmentation and pose estimation
    Hanjiang Hu, Yuzhe Qin, Jingyu Zhang, Zhenxiong Jian and Mingjun Ren
    2017-2018 at SJTU, Third Price in 2018 International Conference on Optical and Photonic Engineering (ICOPEN) 3-D Sensor Application Design Competition
    ICPOEN, code

    Academic Services

  • Program Committee: PC member (reviewer) of Workshop on Formal Verification and Machine Learning (WFVML) 2023-2024, organizer of the RoboDrive Challenge at ICRA 2024, organizer of the Robodepth Challenge at ICRA 2023, lead-organizer of the Seasondepth Challenge with workshop at ICRA 2022 and IROS 2022
  • Conference Reviewer: NeurIPS 2023-2024, ICML 2025, ICLR 2024-2025, CoRL 2024, L4DC 2024, AISTATS 2025, CVPR 2023-2025, ECCV 2024, ICCV 2023-2025, ICRA 2021-2025, IROS 2021-2024, AAAI 2024-2025, NeurIPS D&B Track 2021-2024, ACCV 2024
  • Journal Reviewer: JMLR, T-PAMI, DMLR, RA-L, T-IP, T-FR(JFR),T-ASE, IJHR, JAS
  • Selected Lecture Notes

  • Advanced Statistical Theory [book] by Prof. Sivaraman Balakrishnan: notes
  • Differential Equations (ODE) [book] by Prof. Robin Neumayer: notes
  • Differential Equations (PDE) [book] by Prof. Robin Neumayer: notes (part I), notes (part II), notes (part III)

  • hpp

    Last updated: Mar. 2025
    Hanjiang Hu © 2019-2025