Yukang Cao 操雨康

I am a Postdoctoral Research Fellow at MMLab Nanyang Technological University in Singapore, working with Prof. Ziwei Liu. I received my Ph.D. in Computer Science from The University of Hong Kong, advised by Prof. Kwan-Yee K. Wong, and my B.Eng. from Zhejiang University in 2020 (ranked 3/66).

My research explores computer vision and machine learning, with a focus on embodied AI, modeling of human-related interactions, spatial intelligence, agentic modeling, and generative modeling.

Embodied AI Human-related Interactions Spatial Intelligence Agentic Modeling Generative Models
Portrait of Yukang Cao

RESEARCH MAP

Research Directions

My work aims to connects embodied systems, human-related interactions, 3D understanding, and generative models across four complementary directions.

01

Embodied AI & Human-related Interactions

Connecting embodied perception and physical reasoning with controllable models of human–object and collective interactions.

Human-related interactions
04

2D & Language Generative Modeling

Exploring diffusion language models, agentic content creation, image morphing, subject generation, and human video synthesis.

LATEST

News

Recent papers, releases, and milestones.

SELECTED WORK

Publications

* Equal contribution  ·  # Corresponding author

VibeGame project teaser
Under submissionAgentic game modeling

VibeGame: Prompt-to-Game Development with AI-Native Engine and Self-Evolving Adversarial Agent Team

Wenbo Hu*, Ken Li*, Jiazhe Wei*, Yukang Cao, Weiyi Hong, Jiayi Dai, Chenjun Bai, Jiajun Liang, Yucheng Liao, Ruichuan An, Zeyu Lou, Haofan Wang, Wende Tan, Liucheng Guo, Yueming Lyu, Ziwei Liu, Chenyang Si#

Under submission, 2026

Wukong project teaser
NeurIPS 20253D morphing

Wukong’s 72 Transformations: High-fidelity 3D Morphing via Flow Models

Minghao Yin, Yukang Cao, Kai Han#

Neural Information Processing Systems, 2025

Splat4D project teaser
SIGGRAPH 20254D generation

Splat4D: Diffusion-Enhanced 4D Gaussian Splatting for Temporally and Spatially Consistent Content Creation

Minghao Yin, Yukang Cao, Songyou Peng, Kai Han#

ACM SIGGRAPH, 2025

AudCast project teaser
CVPR 2025Human video

AudCast: Audio-Driven Human Video Generation by Cascaded Diffusion Transformers

Jiazhi Guan, Kaisiyuan Wang, Zhiliang Xu, Quanwei Yang, Yasheng Sun, Shengyi He, Borong Liang, Yukang Cao, Yingying Li, Haocheng Feng, Errui Ding, Jingdong Wang, Youjian Zhao#, Hang Zhou#, Ziwei Liu#

IEEE Conference on Computer Vision and Pattern Recognition, 2025

ArtiFade project teaser
CVPR 2025Subject generation

ArtiFade: Learning to Generate High-quality Subject from Blemished Images

Shuya Yang*, Shaozhe Hao*, Yukang Cao#, Kwan-Yee K. Wong#

IEEE Conference on Computer Vision and Pattern Recognition, 2025

3D human avatar survey teaser
Preprint 2024Survey

A Survey on 3D Human Avatar Modeling — From Reconstruction to Generation

Ruihe Wang*, Yukang Cao*#, Kai Han, Kwan-Yee K. Wong

Preprint, 2024

SeSDF project teaser
CVPR 2023Human reconstruction

SeSDF: Self-evolved Signed Distance Field for Implicit 3D Clothed Human Reconstruction

Yukang Cao, Kai Han, Kwan-Yee K. Wong

IEEE Conference on Computer Vision and Pattern Recognition, 2023

PROFESSIONAL BACKGROUND

Employment

Research collaborations across academia and industry.

Primary appointments

  1. Research Fellow · MMLab@NTU

    Worked with Prof. Ziwei Liu.

  2. Postgraduate Researcher · The University of Hong Kong

    Worked with Prof. Kwan-Yee K. Wong and Prof. Kai Han.

Research internships

  1. Research Intern · Shanghai AI Laboratory

    Worked with Dr. Liang Pan and Prof. Ziwei Liu.

  2. Research Intern · Tencent PCG, ARC Lab

    Worked with Dr. Yan-Pei Cao.

ACADEMIC BACKGROUND

Education

Doctoral and undergraduate education in computer science and engineering.

Degrees

  1. Ph.D. in Computer Science · The University of Hong Kong

    Advised by Prof. Kwan-Yee K. Wong.

  2. Bachelor of Engineering · Zhejiang University

    Graduated with a class rank of 3/66.

Early research experience

  1. Research Student · The University of Texas at Austin

    Worked with Dr. Chandrajit Bajaj.

  2. Research Student · Peking University

    Worked with Dr. Dehua Xiong.

  3. Research Student · Tsinghua University

    Worked with Dr. Zuoqiang Shi.

MENTORSHIP

Teaching

  • 2022–2023 COMP 3270 Artificial Intelligence, Teaching Assistant · HKU
  • 2021–2022 COMP 2396 Object-Oriented Programming and Java, Teaching Assistant · HKU

INVITED

Talks

  • Aug 2026 “ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine” · Qingke Community
  • Mar 2026 “HSImul3R: Physics-in-the-loop Reconstruction of Simulation-ready Human-Scene Interactions” · WiseModel
  • Apr 2025 “Modeling Virtual Worlds: Humans, Objects, Scenes & Interactions via Generative AI” · Huawei InnovWave
  • Oct 2024 “GS-VTON: Controllable 3D Virtual Try-on with Gaussian Splatting” · AnySyn3D
  • Dec 2023 “3D Human Modelling from Image and Text Guidance” · NTU MMLab
  • Jul 2023 “Avatar-X: Text Guided Controllable and Editable 3D Human Avatar Generation” · GAP Lab, CUHK-Shenzhen

RECOGNITION

Awards

ACADEMIC SERVICE

Professional activities

Conference reviewer

CVPR · ICCV · NeurIPS · SIGGRAPH Asia · Pacific Graphics · AAAI · ICLR · ICML · ECCV · ACCV

Journal reviewer

TPAMI · IJCV · TMM · TVCG · TCSVT