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2020 – today
- 2024
[j4]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): 2151-2170 (2024)- [i14]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 abs/2402.16720 (2024) - [i13]Han Lu, Xiaosong Jia, Yichen Xie, Wenlong Liao, Xiaokang Yang, Junchi Yan:
ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving. CoRR abs/2403.02877 (2024) - [i12]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 abs/2403.13331 (2024) - [i11]Xiaosong Jia, Zhenjie Yang, Qifeng Li, Zhiyuan Zhang, Junchi Yan:
Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving. CoRR abs/2406.03877 (2024) - [i10]Yutao Zhu, Xiaosong Jia, Xinyu Yang, Junchi Yan:
FlatFusion: Delving into Details of Sparse Transformer-based Camera-LiDAR Fusion for Autonomous Driving. CoRR abs/2408.06832 (2024) - 2023
- [j3]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): 13860-13875 (2023) - [c9]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: 17853-17862 - [c8]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: 21983-21994 - [c7]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: 7919-7929 - [c6]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 - [i9]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 abs/2301.01006 (2023) - [i8]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 abs/2305.06242 (2023) - [i7]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 abs/2308.00398 (2023) - [i6]Zhenjie Yang, Xiaosong Jia, Hongyang Li, Junchi Yan:
LLM4Drive: A Survey of Large Language Models for Autonomous Driving. CoRR abs/2311.01043 (2023) - 2022
- [j2]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): 2497-2511 (2022) - [c5]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: 910-920 - [c4]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 - [c3]Nianzu Yang, Kaipeng Zeng, Qitian Wu, Xiaosong Jia, Junchi Yan:
Learning Substructure Invariance for Out-of-Distribution Molecular Representations. NeurIPS 2022 - [i5]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 abs/2205.09753 (2022) - [i4]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 abs/2206.08129 (2022) - [i3]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 abs/2209.05324 (2022) - [i2]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 abs/2212.10156 (2022) - 2021
- [j1]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): 3065-3072 (2021) - [c2]Xiaosong Jia, Liting Sun, Hang Zhao, Masayoshi Tomizuka, Wei Zhan:
Multi-Agent Trajectory Prediction by Combining Egocentric and Allocentric Views. CoRL 2021: 1434-1443 - 2020
- [c1]Xiaosong Jia, Qitian Wu, Xiaofeng Gao, Guihai Chen:
SentiMem: Attentive Memory Networks for Sentiment Classification in User Review. DASFAA (1) 2020: 736-751 - [i1]Xiaosong Jia, Liting Sun, Masayoshi Tomizuka, Wei Zhan:
IDE-Net: Interactive Driving Event and Pattern Extraction from Human Data. CoRR abs/2011.02403 (2020)
Coauthor Index
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