Hang Gao

Hang Gao 高杭

Hello! I am an individual interested in science and art. I like to think about how to make multimodal AI that helps people express and communicate.

I am currently at Reve, focusing on multimodal scaling and systems. Previously, I was a member of technical staff at xAI, where I helped train Grok's video model.

I did my PhD at UC Berkeley advised by Angjoo Kanazawa. Before that, I studied at Jiao Tong University and Columbia.

I write sometimes.

I'd love to hear your anonymous feedback.

Product

	Reve Research at Reve, pretraining v2.1, July 2026 / v2, June 2026
	Grok Imagine Video Imagine team at xAI, post-training v1, Jan 2026 / v0.9, Oct 2025

Research

	Deep Generative Priors for View Synthesis at Scale Hang Gao PhD Thesis, UC Berkeley 2025 Advisor: Angjoo Kanazawa Committee: Jitendra Malik, Alexei Efros, Shubham Tulsiani
	Stable Virtual Camera: Generative View Synthesis with Diffusion Models Jensen (Jinghao) Zhou, Hang Gao, Vikram Voleti, Aaryaman Vasishta, Chun-Han Yao, Mark Boss, Philip Torr, Christrian Rupprecht, Varun Jampani ICCV, 2025 project page / arXiv / code
	Shape of Motion: 4D Reconstruction from a Single Video Qianqian Wang, Vickie Ye, Hang Gao, Jake Austin, Zhengqi Li, Angjoo Kanazawa ICCV, 2025 (Spotlight)* project page / arXiv / code
	SOAR: Self-Occluded Avatar Recovery from a Single Video Zhuoyang Pan, Angjoo Kanazawa, Hang Gao arXiv, 2024 project page / arXiv / code
	NerfAcc: Efficient Sampling Accelerates NeRFs Ruilong Li, Hang Gao, Matthew Tancik, Angjoo Kanazawa ICCV, 2023 project page / arXiv / code
	Monocular Dynamic View Synthesis: A Reality Check Hang Gao, Ruilong Li, Shubham Tulsiani, Bryan Russell, Angjoo Kanazawa NeurIPS, 2022 project page / arXiv / code
	Long-term Human Motion Prediction with Scene Context Zhe Cao, Hang Gao, Karttikeya Mangalam, Qi-Zhi Cai, Minh Vo, Jitendra Malik ECCV, 2020 (Oral Presentation) project page / arXiv / code
	Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation Hang Gao, Xizhou Zhu, Steve Lin, Jifeng Dai ICLR, 2020 project page / arXiv / code
	Spatio-Temporal Action Graph Networks Roei Herzig, Elad Levi, Huijuan Xu, Hang Gao, Eli Brosh, Xiaolong Wang, Amir Globerson, Trevor Darrell ICCV Workshop*, 2019 arXiv
	Disentangling Propagation and Generation for Video Prediction Hang Gao, Huazhe Xu, Qi-Zhi Cai, Ruth Wang, Fisher Yu, Trevor Darrell ICCV*, 2019 arXiv
	Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks Hang Gao, Zheng Shou, Alireza Zareian, Hanwang Zhang, Shih-Fu Chang NeurIPS, 2018 arXiv
	AutoLoc: Weakly-supervised Temporal Action Localization in Untrimmed Videos Zheng Shou, Hang Gao, Lei Zhang, Kazuyuki Miyazawa, Shih-Fu Chang ECCV, 2018 arXiv / code
	ER: Early Recognition of Inattentive Driving Events Leveraging Audio Devices on Smartphones Xiangyu Xu, Hang Gao, Jiadi Yu, Yingying Chen, Yanmin Zhu, Guangtao Xue, Minglu Li INFOCOM, 2017 IEEE

Thanks Jon!
Last updated July 2026.