Ding, Wenhao

14 publications

NeurIPS 2025 AneuG-Flow: A Large-Scale Synthetic Dataset of Diverse Intracranial Aneurysm Geometries and Hemodynamics Wenhao Ding, Yiying Sheng, Simão Nieto de Castro, Hwa Liang Leo, Choon Hwai Yap

CVPR 2025 Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models Zhejun Zhang, Peter Karkus, Maximilian Igl, Wenhao Ding, Yuxiao Chen, Boris Ivanovic, Marco Pavone

NeurIPS 2025 Model-Based Policy Adaptation for Closed-Loop End-to-End Autonomous Driving Haohong Lin, Yunzhi Zhang, Wenhao Ding, Jiajun Wu, Ding Zhao

NeurIPS 2024 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 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

ECCV 2024 RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios Wenhao Ding, Yulong Cao, Ding Zhao, Chaowei Xiao, Marco Pavone

ICML 2023 Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-Based Models Wenhao Ding, Tong Che, Ding Zhao, Marco Pavone

NeurIPS 2023 Seeing Is Not Believing: Robust Reinforcement Learning Against Spurious Correlation Wenhao Ding, Laixi Shi, Yuejie Chi, Ding Zhao

CoRL 2023 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

CoRL 2022 CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao

NeurIPS 2022 Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao

NeurIPS 2022 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

AISTATS 2021 Deep Probabilistic Accelerated Evaluation: A Robust Certifiable Rare-Event Simulation Methodology for Black-Box Safety-Critical Systems Mansur Arief, Zhiyuan Huang, Guru Koushik Senthil Kumar, Yuanlu Bai, Shengyi He, Wenhao Ding, Henry Lam, Ding Zhao

NeurIPS 2020 Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes Mengdi Xu, Wenhao Ding, Jiacheng Zhu, Zuxin Liu, Baiming Chen, Ding Zhao