Peng Jia

According to our database, Peng Jia authored at least 37 papers between 2024 and 2026.

Collaborative distances:

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

2026

HarmoWAM: Harmonizing Generalizable and Precise Manipulation via Adaptive World Action Models.

Qiuxuan Feng, Jiale Yu, Jiaming Liu, Yueru Jia, Zhuangzhe Wu, Hao Chen, Zezhong Qian, Shuo Gu, Peng Jia, Siwei Ma, Shanghang Zhang

CoRR, May, 2026

LaST-R1: Reinforcing Action via Adaptive Physical Latent Reasoning for VLA Models.

Hao Chen, Jiaming Liu, Zhonghao Yan, Nuowei Han, Renrui Zhang, Chenyang Gu, Jialin Gao, Ziyu Guo, Siyuan Qian, Yinxi Wang, Peng Jia, Chi-Wing Fu, Shanghang Zhang, Pheng-Ann Heng

CoRR, April, 2026

Look Before Acting: Enhancing Vision Foundation Representations for Vision-Language-Action Models.

Yulin Luo, Hao Chen, Zhuangzhe Wu, Bowen Sui, Jiaming Liu, Chenyang Gu, Zhuoyang Liu, Qiuxuan Feng, Jiale Yu, Shuo Gu, Peng Jia, Pheng-Ann Heng, Shanghang Zhang

CoRR, March, 2026

TwinRL-VLA: Digital Twin-Driven Reinforcement Learning for Real-World Robotic Manipulation.

Qinwen Xu, Jiaming Liu, Rui Zhou, Shaojun Shi, Nuowei Han, Zhuoyang Liu, Chenyang Gu, Shuo Gu, Yang Yue, Gao Huang, Wenzhao Zheng, Sirui Han, Peng Jia, Shanghang Zhang

CoRR, February, 2026

Other Vehicle Trajectories Are Also Needed: A Driving World Model Unifies Ego-Other Vehicle Trajectories in Video Latent Space.

Jian Zhu, Zhengyu Jia, Tian Gao, Jiaxin Deng, Shidi Li, Lang Zhang, Fu Liu, Peng Jia, Xianpeng Lang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

ManualVLA: A Unified VLA Model for Chain-of-Thought Manual Generation and Robotic Manipulation.

Chenyang Gu, Jiaming Liu, Hao Chen, Runzhong Huang, Qingpo Wuwu, Zhuoyang Liu, Xiaoqi Li, Ying Li, Renrui Zhang, Peng Jia, Pheng-Ann Heng, Shanghang Zhang

CoRR, December, 2025

The Better You Learn, The Smarter You Prune: Towards Efficient Vision-language-action Models via Differentiable Token Pruning.

Titong Jiang, Xuefeng Jiang, Yuan Ma, Xin Wen, Bailin Li, Kun Zhan, Peng Jia, Yahui Liu, Sheng Sun, Xianpeng Lang

CoRR, September, 2025

OmniReason: A Temporal-Guided Vision-Language-Action Framework for Autonomous Driving.

Pei Liu, Qingtian Ning, Xinyan Lu, Haipeng Liu, Weiliang Ma, Dangen She, Peng Jia, Xianpeng Lang, Jun Ma

CoRR, September, 2025

MagicRoad: Semantic-Aware 3D Road Surface Reconstruction via Obstacle Inpainting.

Xingyue Peng, Yuandong Lyu, Lang Zhang, Jian Zhu, Songtao Wang, Jiaxin Deng, Songxin Lu, Weiliang Ma, Dangen She, Peng Jia, Xianpeng Lang

CoRR, July, 2025

World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model.

Yupeng Zheng, Pengxuan Yang, Zebin Xing, Qichao Zhang, Yuhang Zheng, Yinfeng Gao, Pengfei Li, Teng Zhang, Zhongpu Xia, Peng Jia, Dongbin Zhao

CoRR, July, 2025

RoboPearls: Editable Video Simulation for Robot Manipulation.

Tao Tang, Likui Zhang, Youpeng Wen, Kaidong Zhang, Jia-Wang Bian, Xia Zhou, Tianyi Yan, Kun Zhan, Peng Jia, Hefeng Wu, Liang Lin, Xiaodan Liang

CoRR, June, 2025

DriveAction: A Benchmark for Exploring Human-like Driving Decisions in VLA Models.

Yuhan Hao, Zhengning Li, Lei Sun, Weilong Wang, Naixin Yi, Sheng Song, Caihong Qin, Mofan Zhou, Yifei Zhan, Peng Jia, Xianpeng Lang

CoRR, June, 2025

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control.

Anthony Chen, Wenzhao Zheng, Yida Wang, Xueyang Zhang, Kun Zhan, Peng Jia, Kurt Keutzer, Shanghang Zhang

CoRR, May, 2025

TransDiffuser: End-to-end Trajectory Generation with Decorrelated Multi-modal Representation for Autonomous Driving.

Xuefeng Jiang, Yuan Ma, Pengxiang Li, Leimeng Xu, Xin Wen, Kun Zhan, Zhongpu Xia, Peng Jia, Xianpeng Lang, Sheng Sun

CoRR, May, 2025

TokenFLEX: Unified VLM Training for Flexible Visual Tokens Inference.

Junshan Hu, Jialiang Mao, Zhikang Liu, Zhongpu Xia, Peng Jia, Xianpeng Lang

CoRR, April, 2025

StyledStreets: Multi-style Street Simulator with Spatial and Temporal Consistency.

Yuyin Chen, Yida Wang, Xueyang Zhang, Kun Zhan, Peng Jia, Yifei Zhan, Xianpeng Lang

CoRR, March, 2025

Finetuning Generative Trajectory Model with Reinforcement Learning from Human Feedback.

Derun Li, Jianwei Ren, Yue Wang, Xin Wen, Pengxiang Li, Leimeng Xu, Kun Zhan, Zhongpu Xia, Peng Jia, Xianpeng Lang, Ningyi Xu, Hang Zhao

CoRR, March, 2025

Other Vehicle Trajectories Are Also Needed: A Driving World Model Unifies Ego-Other Vehicle Trajectories in Video Latent Space.

Jian Zhu, Zhengyu Jia, Tian Gao, Jiaxin Deng, Shidi Li, Fu Liu, Peng Jia, Xianpeng Lang, Xiaolong Sun

CoRR, March, 2025

OmniGen: Unified Multimodal Sensor Generation for Autonomous Driving.

Tao Tang, Enhui Ma, Xia Zhou, Letian Wang, Tianyi Yan, Xueyang Zhang, Kun Zhan, Peng Jia, Xianpeng Lang, Jia-Wang Bian, Kaicheng Yu, Xiaodan Liang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

PosePilot: Steering Camera Pose for Generative World Models with Self-supervised Depth.

Bu Jin, Weize Li, Baihan Yang, Zhenxin Zhu, Junpeng Jiang, Huan-ang Gao, Haiyang Sun, Kun Zhan, Hengtong Hu, Xueyang Zhang, Peng Jia, Hao Zhao

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Generalizing Motion Planners with Mixture of Experts for Autonomous Driving.

Qiao Sun, Huimin Wang, Jiahao Zhan, Fan Nie, Xin Wen, Leimeng Xu, Kun Zhan, Peng Jia, Xianpeng Lang, Hang Zhao

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

S2-Track: A Simple yet Strong Approach for End-to-End 3D Multi-Object Tracking.

Tao Tang, Lijun Zhou, Pengkun Hao, Zihang He, Kalok Ho, Shuo Gu, Zhihui Hao, Haiyang Sun, Kun Zhan, Peng Jia, Xianpeng Lang, Xiaodan Liang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

World4Drive: End-to-End Autonomous Driving via Intention-Aware Physical Latent World Model.

Yupeng Zheng, Pengxuan Yang, Zebin Xing, Qichao Zhang, Yuhang Zheng, Yinfeng Gao, Pengfei Li, Teng Zhang, Zhongpu Xia, Peng Jia, Xianpeng Lang, Dongbin Zhao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

HiNeuS: High-Fidelity Neural Surface Mitigating Low-Texture and Reflective Ambiguity.

Yida Wang, Xueyang Zhang, Kun Zhan, Peng Jia, Xianpeng Lang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

RoboPearls: Editable Video Simulation for Robot Manipulation.

Tang Tao, Likui Zhang, Youpeng Wen, Kaidong Zhang, Jia-Wang Bian, Xia Zhou, Tianyi Yan, Kun Zhan, Peng Jia, Hefeng Wu, Liang Lin, Xiaodan Liang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

ReconDreamer: Crafting World Models for Driving Scene Reconstruction via Online Restoration.

Chaojun Ni, Guosheng Zhao, Xiaofeng Wang, Zheng Zhu, Wenkang Qin, Guan Huang, Chen Liu, Yuyin Chen, Yida Wang, Xueyang Zhang, Yifei Zhan, Kun Zhan, Peng Jia, Xianpeng Lang, Xingang Wang, Wenjun Mei

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

BEV-TSR: Text-Scene Retrieval in BEV Space for Autonomous Driving.

Tao Tang, Dafeng Wei, Zhengyu Jia, Tian Gao, Changwei Cai, Chengkai Hou, Peng Jia, Kun Zhan, Haiyang Sun, Jingchen Fan, Yixing Zhao, Xiaodan Liang, Xianpeng Lang, Yang Wang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

UniPLV: Towards Label-Efficient Open-World 3D Scene Understanding by Regional Visual Language Supervision.

Yuru Wang, Songtao Wang, Zehan Zhang, Xinyan Lu, Changwei Cai, Hao Li, Fu Liu, Peng Jia, Xianpeng Lang

CoRR, 2024

GaussianAD: Gaussian-Centric End-to-End Autonomous Driving.

Wenzhao Zheng, Junjie Wu, Yao Zheng, Sicheng Zuo, Zixun Xie, Longchao Yang, Yong Pan, Zhihui Hao, Peng Jia, Xianpeng Lang, Shanghang Zhang

CoRR, 2024

Preliminary Investigation into Data Scaling Laws for Imitation Learning-Based End-to-End Autonomous Driving.

Yupeng Zheng, Zhongpu Xia, Qichao Zhang, Teng Zhang, Ben Lu, Xiaochuang Huo, Chao Han, Yixian Li, Mengjie Yu, Bu Jin, Pengxuan Yang, Yuhang Zheng, Haifeng Yuan, Ke Jiang, Peng Jia, Xianpeng Lang, Dongbin Zhao

CoRR, 2024

DiVE: DiT-based Video Generation with Enhanced Control.

Junpeng Jiang, Gangyi Hong, Lijun Zhou, Enhui Ma, Hengtong Hu, Xia Zhou, Jie Xiang, Fan Liu, Kaicheng Yu, Haiyang Sun, Kun Zhan, Peng Jia, Miao Zhang

CoRR, 2024

UA-Track: Uncertainty-Aware End-to-End 3D Multi-Object Tracking.

Lijun Zhou, Tao Tang, Pengkun Hao, Zihang He, Kalok Ho, Shuo Gu, Wenbo Hou, Zhihui Hao, Haiyang Sun, Kun Zhan, Peng Jia, Xianpeng Lang, Xiaodan Liang

CoRR, 2024

Unleashing Generalization of End-to-End Autonomous Driving with Controllable Long Video Generation.

Enhui Ma, Lijun Zhou, Tao Tang, Zhan Zhang, Dong Han, Junpeng Jiang, Kun Zhan, Peng Jia, Xianpeng Lang, Haiyang Sun, Di Lin, Kaicheng Yu

CoRR, 2024

DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models.

Xiaoyu Tian, Junru Gu, Bailin Li, Yicheng Liu, Chenxu Hu, Yang Wang, Kun Zhan, Peng Jia, Xianpeng Lang, Hang Zhao

CoRR, 2024

BEV-CLIP: Multi-modal BEV Retrieval Methodology for Complex Scene in Autonomous Driving.

Dafeng Wei, Tian Gao, Zhengyu Jia, Changwei Cai, Chengkai Hou, Peng Jia, Fu Liu, Kun Zhan, Jingchen Fan, Yixing Zhao, Yang Wang

CoRR, 2024

TOD3Cap: Towards 3D Dense Captioning in Outdoor Scenes.

Bu Jin, Yupeng Zheng, Pengfei Li, Weize Li, Yuhang Zheng, Sujie Hu, Xinyu Liu, Jinwei Zhu, Zhijie Yan, Haiyang Sun, Kun Zhan, Peng Jia, Xiaoxiao Long, Yilun Chen, Hao Zhao

Proceedings of the Computer Vision - ECCV 2024, 2024

DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models.

Xiaoyu Tian, Junru Gu, Bailin Li, Yicheng Liu, Yang Wang, Zhiyong Zhao, Kun Zhan, Peng Jia, Xianpeng Lang, Hang Zhao

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024