Jia, Xiaosong

18 publications

ICLR 2026 Efficient-LVSM: Faster, Cheaper, and Better Large View Synthesis Model via Decoupled Co-Refinement Attention Xiaosong Jia, Yihang Sun, Junqi You, Songbur Wong, Zichen Zou, Junchi Yan, Zuxuan Wu, Yu-Gang Jiang

ICLR 2026 Interleave-VLA: Enhancing Robot Manipulation with Image-Text Interleaved Instructions Cunxin Fan, Xiaosong Jia, Yihang Sun, Yixiao Wang, Jianglan Wei, Ziyang Gong, Xiangyu Zhao, Masayoshi Tomizuka, Xue Yang, Junchi Yan, Mingyu Ding

ICLR 2026 TrajTok: What Makes for a Good Trajectory Tokenizer in Behavior Generation? Zhiyuan Zhang, Xiaosong Jia, Guanyu Chen, Qifeng Li, Zuxuan Wu, Yu-Gang Jiang, Junchi Yan

ICLR 2025 DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving Xiaosong Jia, Junqi You, Zhiyuan Zhang, Junchi Yan

NeurIPS 2025 Raw2Drive: Reinforcement Learning with Aligned World Models for End-to-End Autonomous Driving (in CARLA V2) Zhenjie Yang, Xiaosong Jia, Qifeng Li, Xue Yang, Maoqing Yao, Junchi Yan

NeurIPS 2025 ReSim: Reliable World Simulation for Autonomous Driving Jiazhi Yang, Kashyap Chitta, Shenyuan Gao, Long Chen, Yuqian Shao, Xiaosong Jia, Hongyang Li, Andreas Geiger, Xiangyu Yue, Li Chen

ICLR 2025 Trajectory-LLM: A Language-Based Data Generator for Trajectory Prediction in Autonomous Driving Kairui Yang, Zihao Guo, Gengjie Lin, Haotian Dong, Zhao Huang, Yipeng Wu, Die Zuo, Jibin Peng, Ziyuan Zhong, Xin Wang, Qing Guo, Xiaosong Jia, Junchi Yan, Di Lin

NeurIPS 2024 Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-to-End Autonomous Driving Xiaosong Jia, Zhenjie Yang, Qifeng Li, Zhiyuan Zhang, Junchi Yan

NeurIPSW 2024 LLM4Drive: A Survey of Large Language Models for Autonomous Driving Zhenjie Yang, Xiaosong Jia, Hongyang Li, Junchi Yan

ECCV 2024 Think2Drive: Efficient Reinforcement Learning by Thinking with Latent World Model for Autonomous Driving (in CARLA-V2) Qifeng Li, Xiaosong Jia, Shaobo Wang, Junchi Yan

ICCV 2023 DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving Xiaosong Jia, Yulu Gao, Li Chen, Junchi Yan, Patrick Langechuan Liu, Hongyang Li

CVPR 2023 Planning-Oriented Autonomous Driving Yihan Hu, Jiazhi Yang, Li Chen, Keyu Li, Chonghao Sima, Xizhou Zhu, Siqi Chai, Senyao Du, Tianwei Lin, Wenhai Wang, Lewei Lu, Xiaosong Jia, Qiang Liu, Jifeng Dai, Yu Qiao, Hongyang Li

ICLR 2023 Policy Pre-Training for Autonomous Driving via Self-Supervised Geometric Modeling Penghao Wu, Li Chen, Hongyang Li, Xiaosong Jia, Junchi Yan, Yu Qiao

CVPR 2023 Think Twice Before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving Xiaosong Jia, Penghao Wu, Li Chen, Jiangwei Xie, Conghui He, Junchi Yan, Hongyang Li

NeurIPS 2022 Learning Substructure Invariance for Out-of-Distribution Molecular Representations Nianzu Yang, Kaipeng Zeng, Qitian Wu, Xiaosong Jia, Junchi Yan

CoRL 2022 Towards Capturing the Temporal Dynamics for Trajectory Prediction: A Coarse-to-Fine Approach Xiaosong Jia, Li Chen, Penghao Wu, Jia Zeng, Junchi Yan, Hongyang Li, Yu Qiao

NeurIPS 2022 Trajectory-Guided Control Prediction for End-to-End Autonomous Driving: A Simple yet Strong Baseline Penghao Wu, Xiaosong Jia, Li Chen, Junchi Yan, Hongyang Li, Yu Qiao

CoRL 2021 Multi-Agent Trajectory Prediction by Combining Egocentric and Allocentric Views Xiaosong Jia, Liting Sun, Hang Zhao, Masayoshi Tomizuka, Wei Zhan