About Me

Depu Meng is a Research Engineer at Applied Intuition, focusing on multimodal foundation model pretraining and video generation. He was a Post-Doctoral Reseach Fellow at the University of Michigan, working with Dr. Henry X. Liu. He received the Ph. D. degree in the Department of Automation, University of Science and Technology of China. His Ph. D. advisors are Dr. Baining Guo and Prof. Houqiang Li, he was also advised by Dr. Jingdong Wang previously. He interned at Microsoft Research Asia during 2017-2018, and 2019-2021. Here is my CV.

His research interests include end-to-end autonomous driving, multi-modal foundation models, world model, etc. He has great passion in autonomous driving, robotics and general computer vision research.

Education

Sept. 2018 - Jun. 2023
Ph.D.
School of Information Science and Technology, major in Control Science and Engineering
University of Science and Technology of China - Microsoft Research Asia
Supervisor: Dr. Baining Guo and Prof. Houqiang Li
Sept. 2014 - Jun. 2018
B.E.
School of the Gifted Young (SCGY), major in Electrical Engineering
University of Science and Technology of China

Work Experience

Sep. 2025 - present
Research Engineer
AI Research, Applied Intuition
Dec. 2024 - Aug. 2025
Machine Learning Engineer
AI Research, DiDi Autonomous Driving
Apr. 2022 - Dec. 2024
Post-Doctoral Research Fellow and Visiting Scholar
Mobility Transformation Lab, University of Michigan
Mentor: Prof. Henry Liu
Aug. 2021 - Apr. 2022
Research Intern
Autonomous Delivery Group, Meituan
Mentor: Dr. Changqiang Yu
Jul. 2019 - Jul. 2021, Jul. 2017 - Jul. 2018
Research Intern
Visual Computing Group, Microsoft Research Asia
Mentor: Dr. Jingdong Wang

Selected Publications

* Equal contribution, † Project lead

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	Yichen Xie, Depu Meng, Chensheng Peng, Yihan Hu, Quentin Herau, Masayoshi Tomizuka, Wei Zhan URoPE: Universal Relative Position Embedding across Geometric Spaces Arxiv, 2026 [Paper] [Project]
	Quentin Herau, Tianshuo Xu, Depu Meng†, Zhijie Yang, Chensheng Peng, Spencer Sherk, Yihan Hu, Wei Zhan SpectralSplat: Appearance-Disentangled Feed-Forward Gaussian Splatting for Driving Scenes Arxiv, 2026 [Paper]
	Rusheng Zhang, Depu Meng, Shengyin Shen, Zhengxia Zou, Houqiang Li, Henry X. Liu MSight: An Edge-Cloud Infrastructure-based Perception System for Connected Automated Vehicles Tech Report [Paper] [Code]
	Rusheng Zhang, Depu Meng, Lance Bassett, Shengyin Shen, Zhengxia Zou, Henry X. Liu Robust Roadside Perception: an Automated Data Synthesis Pipeline Minimizing Human Annotation IEEE Transactions on Intelligent Vehicles (T-IV) & U.S. Patent, 2024 [Paper]
	Depu Meng, Owen Sayer, Rusheng Zhang, Shengyin Shen, Houqiang Li, Henry X. Liu ROCO: A Roundabout Traffic Conflict Dataset Transportation Research Board Annual Meeting (TRBAM), 2023 [Paper] [Data]
	Depu Meng, Changqian Yu, Jiajun Deng, Deheng Qian, Houqiang Li, Dongchun Ren Hybrid Motion Representation Learning for Prediction from Raw Sensor Data IEEE Transactions on Multimedia (T-MM), 2023 [Paper]
	Yunsheng Ni, Depu Meng, Changqian Yu, Chengbin Quan, Dongchun Ren, Youjian Zhao CORE: COnsistent REpresentation Learning for Face Forgery Detection CVPR Workshop on Media Forensics (CVPR Workshop), 2022 [Paper] [Code]
	Depu Meng, Xiaokang Chen, Zejia Fan, Gang Zeng, Houqiang Li, Yuhui Yuan, Lei Sun and Jingdong Wang (: Equal Contribution) Conditional DETR for Fast Training Convergence* International Conference on Computer Vision (ICCV), 2021 [Paper] [Code] [HuggingFace]
	Depu Meng, Zigang Geng, Zhirong Wu, Bin Xiao, Houqiang Li and Jingdong Wang Consistent Instance Classification for Unsupervised Representation Learning ICCV Workshop: Self-supervised Learning for Next-Generation Industry-level Autonomous Driving (ICCV Workshop), 2021 [Paper]

Services

Conference Reviewer: CVPR, ECCV, ICCV, NeurIPS, ACM MM, IROS
Journal Reviewer: IJCV, IEEE T-IV, IEEE T-MM, IEEE T-CSVT, Neuralcomputing, Pattern Recognition