Wenhao Ding | NVIDIA ASPIRE Group https://research.nvidia.com/labs/aspire/author/wenhao-ding/ Wenhao Ding Wowchemy (https://wowchemy.com)en-usWed, 31 Dec 2025 00:00:00 -0400 https://research.nvidia.com/labs/aspire/images/logo_hu2fe6632db44d28c9b9d53edd3914c1d6_112452_300x300_fit_lanczos_3.png Wenhao Ding https://research.nvidia.com/labs/aspire/author/wenhao-ding/ SafeVL: Driving Safety Evaluation via Meticulous Reasoning in Vision Language Models https://research.nvidia.com/labs/aspire/publication/ma.cao.etal.arxiv2025/ Wed, 31 Dec 2025 00:00:00 -0400 https://research.nvidia.com/labs/aspire/publication/ma.cao.etal.arxiv2025/ Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail https://research.nvidia.com/labs/aspire/publication/wang.luo.etal.arxiv2025/ Tue, 30 Dec 2025 00:00:00 +0000 https://research.nvidia.com/labs/aspire/publication/wang.luo.etal.arxiv2025/ Model-Based Policy Adaptation for Closed-Loop End-to-end Autonomous Driving https://research.nvidia.com/labs/aspire/publication/lin.zhang.etal.neurips2025/ Mon, 01 Dec 2025 00:00:00 +0000 https://research.nvidia.com/labs/aspire/publication/lin.zhang.etal.neurips2025/ Safety Evaluation of Motion Plans Using Trajectory Predictors as Forward Reachable Set Estimators https://research.nvidia.com/labs/aspire/publication/chakraborty.feng.etal.arxiv2025/ Wed, 30 Jul 2025 05:22:45 -0400 https://research.nvidia.com/labs/aspire/publication/chakraborty.feng.etal.arxiv2025/ Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models https://research.nvidia.com/labs/aspire/publication/zhang.karkus.etal.cvpr2025/ Fri, 14 Mar 2025 00:00:00 -0400 https://research.nvidia.com/labs/aspire/publication/zhang.karkus.etal.cvpr2025/ Surprise Potential as a Measure of Interactivity in Driving Scenarios https://research.nvidia.com/labs/aspire/publication/ding.veer.etal.arxiv2025/ Sat, 08 Feb 2025 00:00:00 +0000 https://research.nvidia.com/labs/aspire/publication/ding.veer.etal.arxiv2025/ RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios https://research.nvidia.com/labs/aspire/publication/ding.cao.etal.arxiv23/ Tue, 16 Jan 2024 00:21:59 -0400 https://research.nvidia.com/labs/aspire/publication/ding.cao.etal.arxiv23/ Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models https://research.nvidia.com/labs/aspire/publication/ding.che.etal.icml2023/ Sun, 23 Jul 2023 00:21:59 -0400 https://research.nvidia.com/labs/aspire/publication/ding.che.etal.icml2023/