I am a third-year Ph.D. student advised by Prof. Ding Zhao of Safe AI Lab. I am also co-advised by Prof. Bo Li of Secure Learning Lab. I received my Bachelor degree from Electronic Engineering, Tsinghua University.
I am interested in deep generative models, causal discovery, and interpretable machine learning. Specifically, I focus on understanding causality beyond correlation to develop robust and efficient robots.
I am an FPV drone flyer. Check my gallery.
News & Updates
2021/05 - I will start my summer intern in Bosch Center for Artificial Intelligence.
2021/02 - One paper accepted to IEEE Robotics and Automation Letter (with ICRA 2021).
2020/09 - One paper accepted to Neural Information Processing Systems (NeurIPS) 2020.
2020/06 - One paper accepted to International Conference on Intelligent Robots and Systems (IROS) 2020.
Selected Publications
CausalAF: Causal Autoregressive Flow for Goal-Directed Safety-Critical Scenes Generation
Wenhao Ding,
Haohong Lin,
Bo Li,
Ding Zhao
Preprint arXiv:2110.13939
arXiv / code / bibtex
Certifiable Deep Importance Sampling for Rare-Event Simulation of Black-Box Systems
Mansur Arief,
Yuanlu Bai,
Wenhao Ding,
Shengyi He,
Zhiyuan Huang,
Henry Lam,
Ding Zhao
Preprint arXiv:2111.02204
arXiv / code / bibtex
Deep Probabilistic Accelerated Evaluation: A Certifiable Rare-Event Simulation Methodology for Black-Box Autonomy
Mansur Arief*,
Zhiyuan Huang*,
Guru Kumar,
Yuanlu Bai,
Shengyi He,
Wenhao Ding,
Henry Lam,
Ding Zhao
Artificial Intelligence and Statistics (AISTATS) 2021
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments
Baiming Chen,
Zuxin Liu,
Jiacheng Zhu,
Mengdi Xu,
Wenhao Ding,
Liang Li,
Ding Zhao
IEEE International Conference on Robotics and Automation (ICRA) 2021
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation
Wenhao Ding,
Baiming Chen,
Bo Li,
Kim Ji Eun,
Ding Zhao
IEEE Robotics and Automation Letters (and ICRA 2021)
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes
Mengdi Xu,
Wenhao Ding,
Jiacheng Zhu,
Zuxin Liu, Baiming Chen,
Ding Zhao
Neural Information Processing Systems (NeurIPS) 2020, Vancouver
Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method
Wenhao Ding,
Baiming Chen,
Minjun Xu,
Ding Zhao
International Conference on Intelligent Robots and Systems (IROS) 2020, Las Vegas
CMTS: Conditional Multiple Trajectory Synthesizer for Generating Safety-critical Driving Scenarios
Wenhao Ding,
Mengdi Xu,
Ding Zhao
International Conference on Robotics and Automation (ICRA) 2020, Paris
arXiv / code / supplementary / bibtex
A New Multi-vehicle Trajectory Generator to Simulate Vehicle-to-Vehicle Encounters
Wenhao Ding,
Wenshuo Wang,
Ding Zhao
International Conference on Robotics and Automation (ICRA) 2019, Montreal
arXiv / code / supplementary / bibtex
Academic Services
Conference Reviewer: CVPR 2022, ICLR 2022, NeurIPS 2021, ICCV 2021, ICRA 2020-2021, IROS 2020-2021, ICME 2020-2021
Journal Reviewer: IEEE RA-L, IEEE Access, IEEE T-ITS, IEEE TII, IEEE MM
