publications

2026

  1. arXiv
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    OpInf-LLM: Parametric PDE Solving with LLMs via Operator Inference
    Zhuoyuan Wang, Hanjiang Hu , Xiyu Deng , Saviz Mowlavi , and Yorie Nakahira
    arXiv preprint arXiv:2602.01493, 2026
    arXiv Poster
  2. L4DC 2026
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    Online Adaptive Probabilistic Safety Certificate with Language Guidance
    Zhuoyuan Wang, Xiyu Deng , Hikaru Hoshino , and Yorie Nakahira
    Learning for Dynamics and Control Conference, 2026
    arXiv Code

2025

  1. arXiv
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    Multi-Level Multi-Fidelity Methods for Path Integral and Safe Control
    Zhuoyuan Wang, Takashi Tanaka , Yongxin Chen , and Yorie Nakahira
    arXiv preprint arXiv:2510.07756, 2025
    arXiv
  2. arXiv
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    Safe Driving in Occluded Environments
    Zhuoyuan Wang, Tongyao Jia , Pharuj Rajborirug , Neeraj Ramesh , Hiroyuki Okuda , Tatsuya Suzuki , Soummya Kar , and Yorie Nakahira
    arXiv preprint arXiv:2510.13114, 2025
    arXiv
  3. TAC
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    Generalizable Physics-Informed Learning for Stochastic Safety-Critical Systems
    Zhuoyuan Wang, Albert Chern , and Yorie Nakahira
    IEEE Transactions on Automatic Control (TAC), 2025
    arXiv Code
  4. CDC 2025
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    Neural spline operators for risk quantification in stochastic systems
    Zhuoyuan Wang, Raffaele Romagnoli , Kamyar Azizzadenesheli , and Yorie Nakahira
    2025 IEEE 64th Conference on Decision and Control (CDC) , 2025
    arXiv Code
  5. TMLR
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    Physics-Informed Deep B-Spline Networks
    Zhuoyuan Wang, Raffaele Romagnoli , Saviz Mowlavi , and Yorie Nakahira
    Transactions on Machine Learning Research (TMLR), 2025
    arXiv Code Poster

2024

  1. TAC
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    Myopically Verifiable Probabilistic Certificates for Safe Control and Learning
    Zhuoyuan Wang, Haoming Jing , Christian Kurniawan , Albert Chern , and Yorie Nakahira
    IEEE Transactions on Automatic Control (TAC), 2024
    arXiv Code
  2. AAAI 2024
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    Physics-Informed Representation and Learning: Control and Risk Quantification
    Zhuoyuan Wang, Reece Keller , Xiyu Deng , Kenta Hoshino , Takashi Tanaka , and Yorie Nakahira
    Proceedings of the AAAI Conference on Artificial Intelligence , 2024
    arXiv Code
  3. ICRA 2024
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    Towards Proactive Safe Human-Robot Collaborations via Data-Efficient Conditional Behavior Prediction
    Ravi Pandya , Zhuoyuan Wang, Yorie Nakahira , and Changliu Liu
    2024 IEEE International Conference on Robotics and Automation (ICRA) , 2024
    arXiv Slides

2023

  1. L4DC 2023
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    A Generalizable Physics-Informed Learning Framework for Risk Probability Estimation
    Zhuoyuan Wang, and Yorie Nakahira
    Learning for Dynamics and Control Conference , 2023
    arXiv Code
  2. L-CSS
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    Scalable Long-Term Safety Certificate for Large-Scale Systems
    Kenta Hoshino , Zhuoyuan Wang, and Yorie Nakahira
    IEEE Control Systems Letters, 2023
    PDF
  3. IFAC 2023
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    An Occlusion-and Interaction-Aware Safe Control Strategy for Autonomous Vehicles
    Siddharth Gangadhar , Zhuoyuan Wang, Kofi Poku , Naoya Yamada , Kohei Honda , Yorie Nakahira , Hiroyuki Okuda , and Tatsuya Suzuki
    IFAC-PapersOnLine, 2023
    PDF

2022

  1. ACC 2022
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    Myopically Verifiable Probabilistic Certificate for Long-Term Safety
    Zhuoyuan Wang, Haoming Jing , Christian Kurniawan , Albert Chern , and Yorie Nakahira
    2022 American Control Conference (ACC) , 2022
    arXiv Code
  2. IV 2022
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    Adaptive Safe Control for Driving in Uncertain Environments
    Siddharth Gangadhar , Zhuoyuan Wang, Haoming Jing , and Yorie Nakahira
    2022 IEEE Intelligent Vehicles Symposium (IV) , 2022
    PDF

2020

  1. TPAMI
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    Self-Supervised Discovering of Interpretable Features for Reinforcement Learning
    Wenjie Shi , Gao Huang , Shiji Song , Zhuoyuan Wang, Tingyu Lin , and Cheng Wu
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
    arXiv