Xiaosong Jia

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 26

Top Topics

Pattern Extraction

Motion Prediction

Grand Challenge

Admission Control

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Han Lu, Xiaosong Jia, Yichen Xie, Wenlong Liao, Xiaokang Yang, Junchi Yan
ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving. CoRR (2024)
Xiaosong Jia, Shaoshuai Shi, Zijun Chen, Li Jiang, Wenlong Liao, Tao He, Junchi Yan
AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving. CoRR (2024)
Qifeng Li, Xiaosong Jia, Shaobo Wang, Junchi Yan
Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2). CoRR (2024)
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
Delving Into the Devils of Bird's-Eye-View Perception: A Review, Evaluation and Recipe. IEEE Trans. Pattern Anal. Mach. Intell. 46 (4) (2024)
Xiaosong Jia, Zhenjie Yang, Qifeng Li, Zhiyuan Zhang, Junchi Yan
Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving. CoRR (2024)
Penghao Wu, Li Chen, Hongyang Li, Xiaosong Jia, Junchi Yan, Yu Qiao
Policy Pre-training for End-to-end Autonomous Driving via Self-supervised Geometric Modeling. CoRR (2023)
Zhenjie Yang, Xiaosong Jia, Hongyang Li, Junchi Yan
A Survey of Large Language Models for Autonomous Driving. CoRR (2023)
Xiaosong Jia, Penghao Wu, Li Chen, Jiangwei Xie, Conghui He, Junchi Yan, Hongyang Li
Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving. CVPR (2023)
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
Planning-oriented Autonomous Driving. CVPR (2023)
Xiaosong Jia, Yulu Gao, Li Chen, Junchi Yan, Patrick Langechuan Liu, Hongyang Li
DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving. ICCV (2023)
Xiaosong Jia, Yulu Gao, Li Chen, Junchi Yan, Patrick Langechuan Liu, Hongyang Li
DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving. CoRR (2023)
Penghao Wu, Li Chen, Hongyang Li, Xiaosong Jia, Junchi Yan, Yu Qiao
Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling. ICLR (2023)
Xiaosong Jia, Penghao Wu, Li Chen, Jiangwei Xie, Conghui He, Junchi Yan, Hongyang Li
Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving. CoRR (2023)
Xiaosong Jia, Penghao Wu, Li Chen, Yu Liu, Hongyang Li, Junchi Yan
HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Xiaosong Jia, Penghao Wu, Li Chen, Hongyang Li, Yu Liu, Junchi Yan
HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding. CoRR (2022)
Nianzu Yang, Kaipeng Zeng, Qitian Wu, Xiaosong Jia, Junchi Yan
Learning Substructure Invariance for Out-of-Distribution Molecular Representations. NeurIPS (2022)
Xiaofeng Gao, Xiaosong Jia, Chaoqi Yang, Guihai Chen
Using Survival Theory in Early Pattern Detection for Viral Cascades. IEEE Trans. Knowl. Data Eng. 34 (5) (2022)
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
Goal-oriented Autonomous Driving. CoRR (2022)
Penghao Wu, Xiaosong Jia, Li Chen, Junchi Yan, Hongyang Li, Yu Qiao
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline. NeurIPS (2022)
Xiaosong Jia, Li Chen, Penghao Wu, Jia Zeng, Junchi Yan, Hongyang Li, Yu Qiao
Towards Capturing the Temporal Dynamics for Trajectory Prediction: a Coarse-to-Fine Approach. CoRL (2022)
Penghao Wu, Xiaosong Jia, Li Chen, Junchi Yan, Hongyang Li, Yu Qiao
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline. CoRR (2022)
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
Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe. CoRR (2022)
Xiaosong Jia, Liting Sun, Hang Zhao, Masayoshi Tomizuka, Wei Zhan
Multi-Agent Trajectory Prediction by Combining Egocentric and Allocentric Views. CoRL (2021)
Xiaosong Jia, Liting Sun, Masayoshi Tomizuka, Wei Zhan
IDE-Net: Interactive Driving Event and Pattern Extraction From Human Data. IEEE Robotics Autom. Lett. 6 (2) (2021)
Xiaosong Jia, Liting Sun, Masayoshi Tomizuka, Wei Zhan
IDE-Net: Interactive Driving Event and Pattern Extraction from Human Data. CoRR (2020)
Xiaosong Jia, Qitian Wu, Xiaofeng Gao, Guihai Chen
SentiMem: Attentive Memory Networks for Sentiment Classification in User Review. DASFAA (1) (2020)