Yuhan Wang

Yuhan Wang

Ph.D. student of MMLab@NTU

Nanyang Technological University

Biography

I am Yuhan Wang (王宇晗), currently a Senior Researcher at Hunyuan, Tencent, where I work on 3D generation foundation models for Hunyuan3D. I am also completing my Ph.D. in College of Computing and Data Science, Nanyang Technological University, affiliated with MMLab@NTU, advised by Prof. Chen Change Loy. My current research interests are in 3D representation and generation.

During my industry research internships, I am honored to have worked with Zeyu Hu, Weikai Chen, and Xin Wang at LightSpeed Studios, and with Ying Tai and Junwei Zhu at Tencent Youtu Lab. Before NTU, I earned my bachelor’s degree from Chu Kochen Honors College, Zhejiang University. I participated in six ACM ICPC/CCPC Asia Regional Contests, earning four gold medals and two silver medals.


We are hiring! Hunyuan3D is looking for research interns, opportunities in both Singapore and China. Feel free to reach out through email or LinkedIn.

Interests
  • 3D Generation
  • Human Generation
  • Image and Video Generation
  • Face Manipulation
Education
  • PhD in Computer Science and Engineering, 2022 - Now

    Nanyang Technological University

  • BSc in Computer Science and Technology, 2017 - 2021

    Zhejiang University

Publications

UltraShape 1.0: High-Fidelity 3D Shape Generation via Scalable Geometric Refinement
arXiv, 2025
Light-SQ: Structure-aware Shape Abstraction with Superquadrics for Generated Meshes
In 2025 ACM SIGGRAPH Asia Conference Proceedings (SIGGRAPH Asia 2025)
MEAT: Multiview Diffusion Model for Human Generation on Megapixels with Mesh Attention
In 2025 Conference on Computer Vision and Pattern Recognition (CVPR 2025)
Towards Dense and Accurate Radar Perception Via Efficient Cross-Modal Diffusion Model
In IEEE Robotics and Automation Letters. (RA-L)
StyleInV: A Temporal Style Modulated Inversion Network for Unconditional Video Generation
In 2023 International Conference on Computer Vision (ICCV 2023)
HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping
In 2021 International Joint Conferences on Artificial Intelligence (IJCAI 2021)
CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition
In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020)

Experience

 
 
 
 
 
Senior Researcher
Feb 2026 – Present Singapore
  • Research on 3D generation foundation model.
  • Latest releases can be found at Hunyuan3D Website.
 
 
 
 
 
Research Intern
Oct 2024 – Aug 2025 Singapore

Research on

  • 3D generation foundation model - Geometry generation
  • Primitive-decomposed 3D Generation
 
 
 
 
 
Research Intern
Oct 2020 – Nov 2021 Shanghai
Research on high fidelity face swapping algorithm.
 
 
 
 
 
Summer Research Assistant
Jul 2020 – Sep 2020 Remote
Research on Tracking-by-Detection Based Pedestrian Recognition in Infrared Video.
 
 
 
 
 
Research Intern
Jul 2019 – Sep 2019 Shanghai

Research on

  • Neural Architecture Search on Face Classification Backbone
  • Margin-Mining Combined Deep Face Classification Loss

Honors

NVIDIA Hardware Grant Program, 2x A5000
AISG PhD Fellowship
SenseTime Scholarship 2021
National Scholarship
ACM ICPC Asian Regional Contest Gold Medal
2018 Shenyang, 2017 Xi’an, 2017 Nanning, 2017 Hangzhou

Professional Services

Conference Reviewer:

  • AAAI 2024
  • ECCV 2024, 2026
  • CVPR 2025, 2026
  • ICCV 2025
  • SIGGRAPH Asia 2025

Students Mentoring:

Teaching

I am the teaching assistant of the following courses at NTU:

  • SC1003: Introduction to Computational Thinking and Programming, 2023 Fall
  • SC4242/CZ3007: Compiler Techniques, 2023 Spring
  • SC1003: Introduction to Computational Thinking and Programming, 2022 Fall

Skills

Language

Python, C, C++, Java

Research

PyTorch, CUDA

Chills

ACM, Basketball, Badminton, Go Game

Contact