Xiaosong Jia

According to our database, Xiaosong Jia authored at least 20 papers between 2020 and 2024.

Collaborative distances:

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

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

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

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