About Me

I am currently an assistant professor at Shanghai Jiao Tong University. I have research experience in 3D computer vision, foundational models, and healthcare. With an interdisciplinary background in computer vision, large models, and AI for science, I am dedicated to developing a new generation of artificial intelligence technology that empowers life, health, and general artificial intelligence.

My research interests encompass general artificial intelligence, 3D computer vision and AI applications in healthcare.

Work Experience

Assistant Professor

2024 - Present
Shanghai Jiao Tong University
  • AI for healthcare
  • 3D AIGC
  • AGI

Research Fellow

2022 - 2024
Shanghai Artificial Intelligence Laboratory
  • 3D Foundation models
  • 3D generation
  • PINN

Postodoctoral Research Associate

2019 - 2022
University of Sydney

I conducted research about lung cancer guideline compliance analysis.

  • Causal discovery
  • Healthcare analysis
  • 3D computer vision

Teaching

Introduction to Medical Health Artificial Intelligence

Spring
Huangpu 312教室

Funded Projects

Guideline Compliance Analysis - Analyze the factors to affect the lung cancer guideline compliance.

Publications

I have disseminated my research findings through papers in the fields of AGI, 3D computer vision, and AI for healthcare. Below are my selected publications of this year. For a comprehensive list, please visit my Google Scholar profile here.

Note: + means co-first author, * means the corresponding authors.

  • [PointDif]-PointDif Point Cloud Pre-training with Diffusion Models
  • Xiao Zheng, Xiaoshui Huang*, Guofeng Mei, Yuenan Hou, Zhaoyang Lyu, Bo Dai, Wanli Ouyang, Yongshun Gong*
    CVPR 2024
  • [PanFusion]-Taming Stable Diffusion for Text to 360° Panorama Image Generation
  • Cheng Zhang, Qianyi Wu, Camilo Cruz Gambardella, Xiaoshui Huang*, Dinh Phung, Wanli Ouyang, Jianfei Cai*
    CVPR 2024
  • [EPCL]-Frozen CLIP Transformer Is an Efficient Point Cloud Encoder
  • Xiaoshui Huang, Zhou Huang, Sheng Li, Wentao Qu, Tong He, Yuenan Hou, Yifan Zuo, Wanli Ouyang
    AAAI 2024