Wenhao Ding

Researcher, NVIDIA Research

Joined

April 2021

Names

Wenhao Ding (Preferred)

Emails

****@andrew.cmu.edu (Confirmed)

****@gmail.com (Confirmed)

****@nvidia.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Researcher

NVIDIA Research (nvidia.com)

2024 – Present

PhD student

Carnegie Mellon University (cmu.edu)

2019 – 2024

Undergrad student

Tsinghua University, Tsinghua University (tsinghua.edu.cn)

2014 – 2018

Advisors, Relations & Conflicts

PhD Advisor

Ding Zhao

2019 – Present

Coauthor

Bo Li

2019 – Present

Expertise

Reinforcement Learning

Present

Autonomous Driving

Present

Robot Learning

Present

Safety

Present

Vision Language Action Model

Present

Reasoning and causality

Present

Publications

Accelerating Structured Chain-of-Thought in Autonomous Vehicles
Yi Gu, Yan Wang, Yuxiao Chen, Yurong You, Wenjie Luo, Yue Wang, Wenhao Ding, Boyi Li, Heng Yang, Boris Ivanovic, Marco Pavone
- Submitted to ICLR 2026
- Readers: Everyone
Model-Based Policy Adaptation for Closed-Loop End-to-End Autonomous Driving
Haohong Lin, Yunzhi Zhang, Wenhao Ding, Jiajun Wu, Ding Zhao
- FMEA @ CVPR 2025 Poster
- Readers: Everyone
Model-Based Policy Adaptation for Closed-Loop End-to-end Autonomous Driving
Haohong Lin, Yunzhi Zhang, Wenhao Ding, Jiajun Wu, Ding Zhao
- NeurIPS 2025 poster
- Readers: Everyone
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning
Yihang Yao, Zhepeng Cen, Wenhao Ding, Haohong Lin, Shiqi Liu, Tingnan Zhang, Wenhao Yu, Ding Zhao
- NeurIPS 2024 poster
- Readers: Everyone
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning
Haohong Lin, Wenhao Ding, Jian Chen, Laixi Shi, Jiacheng Zhu, Bo Li, Ding Zhao
- NeurIPS 2024 poster
- Readers: Everyone
What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery
Peide Huang, Xilun Zhang, Ziang Cao, Shiqi Liu, Mengdi Xu, Wenhao Ding, Jonathan Francis, Bingqing Chen, Ding Zhao
- Published: 30 Aug 2023, Last Modified: 15 Jan 2026
- CoRL 2023 Poster
- Readers: Everyone
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation
Wenhao Ding, Laixi Shi, Yuejie Chi, Ding Zhao
- NeurIPS 2023 poster
- Readers: Everyone
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models
Wenhao Ding, Tong Che, Ding Zhao, Marco Pavone
- ICML 2023 Poster
- Readers: Everyone
CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation
Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao
- Published: 10 Sept 2022, Last Modified: 05 May 2023
- CoRL 2022 Poster
- Readers: Everyone
SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles
Chejian Xu, Wenhao Ding, Weijie Lyu, Zuxin Liu, Shuai Wang, Yihan He, Hanjiang Hu, Ding Zhao, Bo Li
- Published: 17 Sept 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Datasets and Benchmarks
- Readers: Everyone

View all 45 publications

Co-Authors

View all 55 co-authors