
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 an FPV drone flyer. Check my gallery.
Research Highlights
My research goal is to build robust, generalizable, and interpretable autonomous systems that can truly understand the physical world. Specifically, I am interested in the following topics:
News & Updates
2022/04 - We got into the Finalist of 2022 Qualcomm Innovation Fellowship.
2022/03 - I will start my Applied Scientist Intern in Amazon Lab126 working on Astro.
2022/02 - I gave a talk about scenario generation in Upenn hosted by Prof. Rahul Mangharam.
2022/01 - We are holding the Season Depth Challenge in IROS 2022 and ICRA 2022.
2022/01 - I gave a talk about scenario generation in Stanford SISL Lab.
Selected Publications
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning
Wenhao Ding,
Haohong Lin,
Bo Li,
Ding Zhao
Preprint arXiv:2207.09081
arXiv / code / bibtex
A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective
Wenhao Ding,
Chejian Xu,
Mansur Arief,
Haohong Lin,
Bo Li,
Ding Zhao
Preprint arXiv:2202.02215
arXiv / code / bibtex
CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation
Wenhao Ding,
Haohong Lin,
Bo Li,
Ding Zhao
ICML 2022 Workshop on Safe Learning for Autonomous Driving
arXiv / code / bibtex
Semantically Adversarial Driving Scenario Generation with Explicit Knowledge Integration
Wenhao Ding,
Haohong Lin,
Bo Li,
Kim Ji Eun,
Ding Zhao
Preprint arXiv:2106.04066
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
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: ICML, ICLR, NeurIPS, CVPR, ECCV, ICCV, ICRA, IROS, ICME
Journal Reviewer: TMLR, IEEE RA-L, IEEE Access, IEEE T-ITS, IEEE TII, IEEE MM
Organizer: ICRA 2022 SeasonDepth Challenge