Peidong Liu
[Google Scholar]
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Biography
I am currently an embodied foundation model researcher at JD Explore Academy. My work primarily focuses on pre-training embodied foundation models, with particular emphasis on Visual-Language-Action Models and World Action Models. I also explore physically aligned world-model paradigms that bridge video observations and the physical world by modeling three-dimensional structure, physical properties, and causal dynamics. If you are interested in an internship opportunity, please feel free to drop me an email.
Before that, I was a lead for the visual-language-action model (VLA) at the DJI Automotive and especially focus on fine-tuning VLA to address the challenges posed by long-tailed scenarios. I obtained my M.S. in Computer Science from Tsinghua University in 2022, as an outstanding graduate. I have been fortunate to closely work with Prof. Xiaodan Liang at Sun Yat-sen University, Dr. Hang Xu at Huawei Noah's Ark Lab, Dr. Litong Feng and Dr. Xinjiang Wang at SenseTime Research. I received my B.S. in Software Engineering from Sun Yat-sen University summa cum laude in 2019. My research interest lies in computer vision and visual-language model.
News
- (2026-06) We developed JoyAI-Sim, a simulation-driven embodied data transformation toolchain for model evaluation and human-aligned data synthesis.
- (2026-04) We developed JoyAI-RA 0.1, a world-leading embodied manipulation model that surpasses PI0.5 in both simulation and real-world performance.
- (2025-04) The VLA capabilities are publicly demonstrated at the 2025 Shanghai Auto Show (see wechat link for details).
- (2024-01) I am awarded 2023 Annual Efficiency Vanguard Award at DJI Automotive for the outstanding contributions.
- (2022-07) Two of our works are accepted by ECCV2022.
- (2022-06) I am awarded both University-wise (Top 1%) and Department-wise (Top 5%) Outstanding Graduate at Tsinghua University.
- (2022-06) I am awarded Outstanding Master's Thesis Award at Tsinghua University (Top 5%).
- (2021-10) I am awarded National Scholarship for Postgraduate at Tsinghua University (Top 1%).
- (2021-07) Our work is accecpted by ACM MM2021 as an Oral paper.
- (2021-02) I am invited to give a talk about our ICLR2021 paper in QingYuan (青源 in Chinese) Seminar, organized by Beijing Academy of Artificial Intelligence (BAAI). Thanks for SenseTime's invitation. Please see more details here.
- (2021-01) Our paper is accecpted by ICLR2021. The first Autoloss work for object detection. The code is released here.
Publications
* denotes equal contribution. |
JoyAI-Sim: A Simulation-Enabled Interconversion Toolchain for the Embodied Data Pyramid [PDF] |
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Peidong Liu, Yongce Liu, Songyan Guo, et al. arXiv preprint, 2026 |
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JoyAI-RA 0.1: A Foundation Model for Robotic Autonomy [PDF] |
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Tianle Zhang, Zhihao Yuan, Dafeng Chi, Peidong Liu, et al. arXiv preprint, 2026 |
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Learning the Physical World from Videos: A Prospective Study on World Models [PDF] |
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Jiawei Li, Jiarui Yang, Peidong Liu, et al. Preprints.org, 2026 |
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SimCC: a Simple Coordinate Classification Perspective for Human Pose Estimation [PDF] |
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Yanjie Li, Sen Yang, Peidong Liu, et al. European Conference on Computer Vision (ECCV), 2022 |
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NeXT: Towards High Quality Neural Radiance Fields via Multi-Skip Transformer [PDF] |
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Yunxiao Wang, Yanjie Li, Peidong Liu, et al. European Conference on Computer Vision (ECCV), 2022 |
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Multi-task Ranking with User Behaviors for Text-Video Search [PDF] |
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Peidong Liu, Dongliang Liao, Jinpeng Wang, et al. International World Wide Web Conferences (WWW, CCF-A) Companion, 2022 |
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Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search [PDF] [Talk] [Poster] [PPT] [Code] |
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Peidong Liu*, Gengwei Zhang*, Bochao Wang, et al. International Conference on Learning Representations (ICLR), 2021. |
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WeClick: Weakly-Supervised Video Semantic Segmentation with Click Annotations [PDF] |
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Peidong Liu*, Zibin He*, Xiyu Yan*, et al. ACM International Conference on Multimedia (ACM MM, CCF-A) Oral, 2021. |
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Visual Privacy Protection via Mapping Distortion [PDF] [Code] |
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Yiming Li*, Peidong Liu*, Yong Jiang, et al. International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021 |
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Deep Flow Collaborative Network for Online Visual Tracking [PDF] |
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Peidong Liu, Xiyu Yan, Yong Jiang, et al. International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020 |
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LDA Meets Word2Vec: A Novel Model for Academic Abstract Clustering [PDF] |
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Changzhou Li, Yao Lu, Junfeng Wu, Yongrui Zhang, Zhongzhou Xia, Tianchen Wang, Dantian Yu, Xurui Chen, Peidong Liu, Junyu Guo International World Wide Web Conferences (WWW, CCF-A) Companion, 2018 |
Selected Awards
- 2026.06 JD Explore Academy Bole Talent Referral Award
- 2024.01 DJI Automotive 2023 Annual Efficiency Vanguard Award
- 2022.06 University-wise (Top 1%) and Department-wise (Top 5%) Outstanding Graduate at Tsinghua University
- 2022.06 Outstanding Master's Thesis Award at Tsinghua University (Top 5%)
- 2021.10 National Scholarship for Postgraduate (Top 1%)
- 2019.06 Outstanding Graduate of Sun Yat-sen University (Top 3%)
- 2018.10 Second Class Academic Scholarship of Sun Yat-sen University (Top 8%)
- 2017.10 Bronze Award in Intel Cup – Parallel Application Challenge (PAC) 2017, China (Top 6%)
- 2017.10 First Class Academic Scholarship of Sun Yat-sen University (Top 3%)
- 2017.01 Honorable Mention in Interdisciplinary Contest in Modeling
- 2016.10 First Class Academic Scholarship of Sun Yat-sen University (Top 3%)
Academic Service
- 2026 CoRL Area Chair
- 2022 AAAI Reviewer
- 2022 WWW Reviewer