Xiaosong Jia

According to our database, Xiaosong Jia authored at least 32 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

TrajTok: Technical Report for 2025 Waymo Open Sim Agents Challenge.

Zhiyuan Zhang, Xiaosong Jia, Guanyu Chen, Qifeng Li, Junchi Yan

CoRR, June, 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

CoRR, June, 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

CoRR, May, 2025

DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving.

Zhenjie Yang, Yilin Chai, Xiaosong Jia, Qifeng Li, Yuqian Shao, Xuekai Zhu, Haisheng Su, Junchi Yan

CoRR, May, 2025

Interleave-VLA: Enhancing Robot Manipulation with Interleaved Image-Text Instructions.

Cunxin Fan, Xiaosong Jia, Yihang Sun, Yixiao Wang, Jianglan Wei, Ziyang Gong, Xiangyu Zhao, Masayoshi Tomizuka, Xue Yang, Junchi Yan, Mingyu Ding

CoRR, May, 2025

PointOBB-v3: Expanding Performance Boundaries of Single Point-Supervised Oriented Object Detection.

Peiyuan Zhang, Junwei Luo, Xue Yang, Yi Yu, Qingyun Li, Yue Zhou, Xiaosong Jia, Xudong Lu, Jingdong Chen, Xiang Li, Junchi Yan, Yansheng Li

CoRR, January, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving.

Xiaosong Jia, Junqi You, Zhiyuan Zhang, Junchi Yan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Delving Into the Devils of Bird's-Eye-View Perception: A Review, Evaluation and Recipe.

Hongyang Li, Chonghao Sima, Jifeng Dai, Wenhai Wang, Lewei Lu, Huijie Wang, Jia Zeng, Zhiqi Li, Jiazhi Yang, Hanming Deng, Hao Tian, Enze Xie, Jiangwei Xie, Li Chen, Tianyu Li, Yang Li, Yulu Gao, Xiaosong Jia, Si Liu, Jianping Shi, Dahua Lin, Yu Qiao

IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Bench2Drive-R: Turning Real World Data into Reactive Closed-Loop Autonomous Driving Benchmark by Generative Model.

Junqi You, Xiaosong Jia, Zhiyuan Zhang, Yutao Zhu, Junchi Yan

CoRR, 2024

FlatFusion: Delving into Details of Sparse Transformer-based Camera-LiDAR Fusion for Autonomous Driving.

Yutao Zhu, Xiaosong Jia, Xinyu Yang, Junchi Yan

CoRR, 2024

AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving.

Xiaosong Jia, Shaoshuai Shi, Zijun Chen, Li Jiang, Wenlong Liao, Tao He, Junchi Yan

CoRR, 2024

ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving.

Han Lu, Xiaosong Jia, Yichen Xie, Wenlong Liao, Xiaokang Yang, Junchi Yan

CoRR, 2024

Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2).

Qifeng Li, Xiaosong Jia, Shaobo Wang, Junchi Yan

CoRR, 2024

Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving.

Xiaosong Jia, Zhenjie Yang, Qifeng Li, Zhiyuan Zhang, Junchi Yan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding.

Xiaosong Jia, Penghao Wu, Li Chen, Yu Liu, Hongyang Li, Junchi Yan

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

LLM4Drive: A Survey of Large Language Models for Autonomous Driving.

Zhenjie Yang, Xiaosong Jia, Hongyang Li, Junchi Yan

CoRR, 2023

Policy Pre-training for End-to-end Autonomous Driving via Self-supervised Geometric Modeling.

Penghao Wu, Li Chen, Hongyang Li, Xiaosong Jia, Junchi Yan, Yu Qiao

CoRR, 2023

Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling.

Penghao Wu, Li Chen, Hongyang Li, Xiaosong Jia, Junchi Yan, Yu Qiao

Proceedings of the Eleventh International Conference on Learning Representations, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Using Survival Theory in Early Pattern Detection for Viral Cascades.

Xiaofeng Gao, Xiaosong Jia, Chaoqi Yang, Guihai Chen

IEEE Trans. Knowl. Data Eng., 2022

Goal-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

CoRR, 2022

Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe.

Hongyang Li, Chonghao Sima, Jifeng Dai, Wenhai Wang, Lewei Lu, Huijie Wang, Enze Xie, Zhiqi Li, Hanming Deng, Hao Tian, Xizhou Zhu, Li Chen, Yulu Gao, Xiangwei Geng, Jia Zeng, Yang Li, Jiazhi Yang, Xiaosong Jia, Bohan Yu, Yu Qiao, Dahua Lin, Si Liu, Junchi Yan, Jianping Shi, Ping Luo

CoRR, 2022

Learning Substructure Invariance for Out-of-Distribution Molecular Representations.

Nianzu Yang, Kaipeng Zeng, Qitian Wu, Xiaosong Jia, Junchi Yan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the Conference on Robot Learning, 2022

2021

IDE-Net: Interactive Driving Event and Pattern Extraction From Human Data.

Xiaosong Jia, Liting Sun, Masayoshi Tomizuka, Wei Zhan

IEEE Robotics Autom. Lett., 2021

Multi-Agent Trajectory Prediction by Combining Egocentric and Allocentric Views.

Xiaosong Jia, Liting Sun, Hang Zhao, Masayoshi Tomizuka, Wei Zhan

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

SentiMem: Attentive Memory Networks for Sentiment Classification in User Review.

Xiaosong Jia, Qitian Wu, Xiaofeng Gao, Guihai Chen

Proceedings of the Database Systems for Advanced Applications, 2020