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    <title>Yuxiao Chen | NVIDIA ASPIRE Group</title>
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      <title>Yuxiao Chen</title>
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      <title>SafeVL: Driving Safety Evaluation via Meticulous Reasoning in Vision Language Models</title>
      <link>https://research.nvidia.com/labs/aspire/publication/ma.cao.etal.arxiv2025/</link>
      <pubDate>Wed, 31 Dec 2025 00:00:00 -0400</pubDate>
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      <title>Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail</title>
      <link>https://research.nvidia.com/labs/aspire/publication/wang.luo.etal.arxiv2025/</link>
      <pubDate>Tue, 30 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/wang.luo.etal.arxiv2025/</guid>
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      <title>Towards Efficient and Effective Multi-Camera Encoding for End-to-End Driving</title>
      <link>https://research.nvidia.com/labs/aspire/publication/yang.chen.etal.arxiv2025/</link>
      <pubDate>Thu, 11 Dec 2025 18:59:46 +0000</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/yang.chen.etal.arxiv2025/</guid>
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      <title>Latent Chain-of-Thought World Modeling for End-to-End Driving</title>
      <link>https://research.nvidia.com/labs/aspire/publication/tan.chitta.etal.arxiv2025/</link>
      <pubDate>Thu, 11 Dec 2025 00:00:00 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/tan.chitta.etal.arxiv2025/</guid>
      <description></description>
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    <item>
      <title>Beyond Behavior Cloning in Autonomous Driving: a Survey of Closed-Loop Training Techniques</title>
      <link>https://research.nvidia.com/labs/aspire/publication/karkus.igl.etal.pami2025/</link>
      <pubDate>Fri, 05 Dec 2025 00:00:00 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/karkus.igl.etal.pami2025/</guid>
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    <item>
      <title>RoaD: Rollouts as Demonstrations for Closed-Loop Supervised Fine-Tuning of Autonomous Driving Policies</title>
      <link>https://research.nvidia.com/labs/aspire/publication/garciacobo.igl.etal.arxiv2025/</link>
      <pubDate>Mon, 01 Dec 2025 18:52:03 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/garciacobo.igl.etal.arxiv2025/</guid>
      <description></description>
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    <item>
      <title>Wolf: Dense Video Captioning with a World Summarization Framework</title>
      <link>https://research.nvidia.com/labs/aspire/publication/li.zhu.etal.tmlr2025/</link>
      <pubDate>Tue, 07 Oct 2025 00:00:00 +0000</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/li.zhu.etal.tmlr2025/</guid>
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    <item>
      <title>Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models</title>
      <link>https://research.nvidia.com/labs/aspire/publication/zhang.karkus.etal.cvpr2025/</link>
      <pubDate>Fri, 14 Mar 2025 00:00:00 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/zhang.karkus.etal.cvpr2025/</guid>
      <description></description>
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    <item>
      <title>DreamDrive: Generative 4D Scene Modeling from Street View Images</title>
      <link>https://research.nvidia.com/labs/aspire/publication/mao.li.etal.icra2025/</link>
      <pubDate>Fri, 03 Jan 2025 00:00:00 -0500</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/mao.li.etal.icra2025/</guid>
      <description></description>
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    <item>
      <title>STORM: Spatio-Temporal Reconstruction Model for Large-Scale Outdoor Scenes</title>
      <link>https://research.nvidia.com/labs/aspire/publication/yang.huang.etal.iclr2025/</link>
      <pubDate>Tue, 31 Dec 2024 00:00:00 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/yang.huang.etal.iclr2025/</guid>
      <description></description>
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    <item>
      <title>Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning</title>
      <link>https://research.nvidia.com/labs/aspire/publication/huang.weng.etal.icra2025/</link>
      <pubDate>Tue, 08 Oct 2024 00:00:00 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/huang.weng.etal.icra2025/</guid>
      <description></description>
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    <item>
      <title>Promptable Closed-loop Traffic Simulation</title>
      <link>https://research.nvidia.com/labs/aspire/publication/tan.ivanovic.etal.corl2024/</link>
      <pubDate>Mon, 09 Sep 2024 17:59:15 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/tan.ivanovic.etal.corl2024/</guid>
      <description></description>
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    <item>
      <title>Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving</title>
      <link>https://research.nvidia.com/labs/aspire/publication/tian.li.etal.corl2024/</link>
      <pubDate>Mon, 01 Jul 2024 00:00:00 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/tian.li.etal.corl2024/</guid>
      <description></description>
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    <item>
      <title>Categorical Traffic Transformer: Interpretable and Diverse Behavior Prediction with Tokenized Latent</title>
      <link>https://research.nvidia.com/labs/aspire/publication/chen.tonkens.etal.arxiv2023/</link>
      <pubDate>Fri, 01 Dec 2023 00:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/chen.tonkens.etal.arxiv2023/</guid>
      <description></description>
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    <item>
      <title>Language-Guided Traffic Simulation via Scene-Level Diffusion</title>
      <link>https://research.nvidia.com/labs/aspire/publication/zhong.rempe.etal.corl23/</link>
      <pubDate>Wed, 08 Nov 2023 09:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/zhong.rempe.etal.corl23/</guid>
      <description></description>
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    <item>
      <title>DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving</title>
      <link>https://research.nvidia.com/labs/aspire/publication/huang.karkus.etal.arxiv2023/</link>
      <pubDate>Mon, 30 Oct 2023 10:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/huang.karkus.etal.arxiv2023/</guid>
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    <item>
      <title>Interactive Joint Planning for Autonomous Vehicles</title>
      <link>https://research.nvidia.com/labs/aspire/publication/chen.veer.etal.arxiv23/</link>
      <pubDate>Mon, 30 Oct 2023 00:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/chen.veer.etal.arxiv23/</guid>
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    <item>
      <title>Verification and Synthesis of Robust Control Barrier Functions: Multilevel Polynomial Optimization and Semidefinite Relaxation</title>
      <link>https://research.nvidia.com/labs/aspire/publication/kang.chen.etal.cdc2023/</link>
      <pubDate>Wed, 02 Aug 2023 10:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/kang.chen.etal.cdc2023/</guid>
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    <item>
      <title>Interpretable Trajectory Prediction for Autonomous Vehicles via Counterfactual Responsibility</title>
      <link>https://research.nvidia.com/labs/aspire/publication/hsu.leung.etal.iros2023/</link>
      <pubDate>Tue, 01 Aug 2023 09:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/hsu.leung.etal.iros2023/</guid>
      <description></description>
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    <item>
      <title>Refining Obstacle Perception Safety Zones via Maneuver-Based Decomposition</title>
      <link>https://research.nvidia.com/labs/aspire/publication/topan.chen.etal.iv2023/</link>
      <pubDate>Sun, 04 Jun 2023 10:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/topan.chen.etal.iv2023/</guid>
      <description></description>
    </item>
    
    <item>
      <title>BITS: Bi-level Imitation for Traffic Simulation</title>
      <link>https://research.nvidia.com/labs/aspire/publication/xu.chen.etal.icra2023/</link>
      <pubDate>Sun, 15 Jan 2023 00:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/xu.chen.etal.icra2023/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Guided Conditional Diffusion for Controllable Traffic Simulation</title>
      <link>https://research.nvidia.com/labs/aspire/publication/zhong.rempe.etal.icra2023/</link>
      <pubDate>Sun, 15 Jan 2023 00:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/zhong.rempe.etal.icra2023/</guid>
      <description></description>
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    <item>
      <title>Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles</title>
      <link>https://research.nvidia.com/labs/aspire/publication/veer.leung.etal.icra2023/</link>
      <pubDate>Sun, 15 Jan 2023 00:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/veer.leung.etal.icra2023/</guid>
      <description></description>
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    <item>
      <title>Tree-structured Policy Planning with Learned Behavior Models</title>
      <link>https://research.nvidia.com/labs/aspire/publication/chen.karkus.etal.icra2023/</link>
      <pubDate>Sun, 15 Jan 2023 00:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/chen.karkus.etal.icra2023/</guid>
      <description></description>
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    <item>
      <title>ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning</title>
      <link>https://research.nvidia.com/labs/aspire/publication/chen.ivanovic.etal.cvpr2022/</link>
      <pubDate>Tue, 22 Feb 2022 10:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/chen.ivanovic.etal.cvpr2022/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Interaction-Dynamics-Aware Perception Zones for Obstacle Detection Safety Evaluation</title>
      <link>https://research.nvidia.com/labs/aspire/publication/topan.leung.etal.iv2022/</link>
      <pubDate>Sat, 23 Oct 2021 10:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/topan.leung.etal.iv2022/</guid>
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