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GeezerVison is showing jiageng.me — Jiageng Mao Jiageng Mao
Jiageng Mao is a research scientist at Google DeepMind, where he is teaching Gemini to build and interact
with the physical world through code.
2026 Named to Forbes 30 Under 30 Asia.2025 Awarded NVIDIA Graduate Fellowship.2025 PhysBench is accepted to ICLR 2025 as an oral presentation (Top 1.8%).2024 Awarded Qualcomm Innovation Fellowship.2024 Agent-Driver is accepted to COLM 2024 with Top 1% reviewer ratings.
For a more up-to-date list, visit my Google Scholar
Ψ₀: An Open Foundation Model Towards Universal Humanoid Loco-Manipulation
Songlin Wei*, Hongyi Jing*, Boqian Li*, Zhenyu Zhao*, Jiageng Mao, Zhenhao Ni, Sicheng He, Jie Liu,
Xiawei
Liu, Kaidi Kang, Sheng Zang, Weiduo Yuan, Marco Pavone, Di Huang, Yue Wang. Humanoid Everyday: A Comprehensive Robotic Dataset for Open-World Humanoid Manipulation
Zhenyu Zhao*, Hongyi Jing*, Xiawei Liu, Jiageng Mao†, Abha Jha, Hanwen Yang, Rong Xue,
Sergey Zakharov, Vitor Guizilini, Yue Wang†. Robot Learning from a Physical World Model
Jiageng Mao, Sicheng He, Hao-Ning Wu, Yang You, Shuyang Sun, Zhicheng Wang, Yanan Bao, Huizhong
Chen, Leonidas Guibas, Vitor Guizilini, Howard Zhou, Yue Wang. Robot Learning from Any Images
Jiageng Mao*, Siheng Zhao*, Wei Chow, Zeyu Shangguan, Tianheng Shi, Rong Xue, Yuxi Zheng, Yijia
Weng, Yang You, Daniel Seita, Leonidas Guibas, Sergey Zakharov, Vitor Guizilini, Yue Wang. Universal Humanoid Robot Pose Learning from Internet Human Videos
Jiageng Mao*, Siheng Zhao*, Siqi Song*, Tianheng Shi, Junjie Ye, Mingtong Zhang, Haoran Geng,
Jitendra Malik, Vitor Guizilini, Yue Wang. Seeing the Wind from a Falling Leaf
Zhiyuan Gao*, Jiageng Mao*, Hong-Xing (Koven) Yu, Haozhe Lou, Emily Yue-Ting Jia, Jernej Barbic,
Jiajun Wu, Yue Wang. PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding
Wei Chow*, Jiageng Mao*, Boyi Li, Daniel Seita, Vitor Guizilini, Yue Wang. DreamDrive: Generative 4D Scene Modeling from Street View Images
Jiageng Mao, Boyi Li, Boris Ivanovic, Yuxiao Chen, Yan Wang, Yurong You, Chaowei Xiao, Danfei Xu,
Marco Pavone, Yue Wang. A Language Agent for Autonomous Driving
Jiageng Mao*, Junjie Ye*, Yuxi Qian, Marco Pavone, Yue Wang. RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation
Yuxuan Kuang*, Junjie Ye*, Haoran Geng*, Jiageng Mao, Congyue Deng, Leonidas Guibas, He Wang, Yue
Wang. Driving Everywhere with Large Language Model Policy Adaptation
Boyi Li, Yue Wang, Jiageng Mao, Boris Ivanovic, Sushant Veer, Karen Leung, Marco Pavone. Voxel Transformer for 3D Object Detection
Jiageng Mao*, Yujing Xue*, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing
Xu. Interpolated Convolutional Networks for 3D Point Cloud Understanding
Jiageng Mao, Xiaogang Wang, Hongsheng Li. Interpolated Convolutional Networks for 3D Point Cloud Understanding
Jiageng Mao, Xiaogang Wang, Hongsheng Li. 2026 NVIDIA Research2026 Google DeepMind2026 Amazon Frontier AI & Robotics2026 Nanyang Technological University2026 Stanford University (Host: Prof. Gordon Wetzstein's Lab)2026 Peking University2025 Google DeepMind2025 Stanford University (Host: Prof. Leo Guibas's Lab)2025 ICRA 2025 Oral Presentation: DreamDrive: Generative 4D Scene Modeling from Street View Images2025 Stanford University (Host: MSL Lab)2025 Carnegie Mellon University (Host: Prof. Ding Zhao's Group)2024 Qualcomm2023 Cornell University (Host: Prof. Kilian Weinberger's Group)
I feel privileged to work with many talented students. Below is a partial list of our work together.
I was a teaching assistant for
2025 CSCI-677 Robot Perception.2024 CSCI-670 Advanced Computer Vision.2021 ENGR-597 Signals and Systems.2020 ENGR-197 Multivariable Calculus.
I served as an organizer/program committee member of
I served as a reviewer for major conferences and journals in robotics, computer vision, and machine
learning,
including CVPR, ICCV, ECCV, IJCV, T-PAMI, ICRA, IROS, CoRL, T-RO, NeurIPS, ICML, ICLR, etc. |
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