Junchao Huang

I am a Ph.D. student in the School of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHK-SZ), supervised by Prof. Li Jiang. Before joining CUHK-SZ, I received the B.E. degree from Tianjin University (TJU) in 2025.

My research interests lie in computer vision and artificial intelligence, with a focus on world models, generative models (video & 3D), and multimodal learning.

Email  /  My CV /  Google Scholar  /  Github

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News
  • [Oct. 2025] Our paper Memory Forcing is now available on arXiv!
  • [Oct. 2025] We have released the complete source code for Edit360!
  • [Sep. 2025] Started my Ph.D. journey at CUHK(Shenzhen)!
  • [June 2025] Graduated from Tianjin University with B.Sc. in Mathematics!
  • [June 2025] Edit360 accepted to ICCV 2025 (Highlight)!
  • [May 2025] AKRMap accepted to ICML 2025!
Publications
Memory Forcing: Spatio-Temporal Memory for Consistent Scene Generation on Minecraft
Junchao Huang, Xinting Hu, Bohan Han, Shaoshuai Shi, Zhuotao Tian, Tianyu He, Li Jiang
Under Review, 2025
pdf / project page / code (coming soon)

We introduce Memory Forcing, a training framework that enables video diffusion models to balance exploration and revisit consistency for autoregressive video generation in Minecraft using spatio-temporal memory mechanisms.

Edit360: 2D Image Edits to 3D Assets from Any Angle
Junchao Huang, Xinting Hu, Shaoshuai Shi, Zhuotao Tian, Li Jiang
IEEE International Conference on Computer Vision (ICCV), 2025
Highlight (2.3% acceptance rate)
pdf / project page / code

A tuning-free framework that extends 2D modifications to multi-view consistent 3D editing, enabling user-specific editing from arbitrary viewpoints while ensuring structural coherence across all views.

AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings
Yilin Ye, Junchao Huang, Xingchen Zeng, Jiazhi Xia, Wei Zeng
International Conference on Machine Learning (ICML), 2025
pdf / code

A novel dimensionality reduction technique designed to visualize cross-modal embeddings with enhanced accuracy by learning kernel regression of the metric landscape in the projection space.

Education
The Chinese University of Hong Kong (Shenzhen)
Ph.D. in School of Data Science
September 2025 - Present
Merit Fellowship (Ph.D. Scholarships at CUHK-SZ)
Advisor: Prof. Li Jiang
Tianjin University
Bachelor of Science: Mathematics and Applied Mathematics
September 2021 - June 2025
Elite Program: "Qiushi" Class of the Mathematics Department
GPA: 3.83/4.00 (91.17/100), Ranking: 3/55
Awards & Honors
  • First Class Scholarship (Tianjin University), 2024
  • PetroChina Scholarship (Tianjin University), 2022
  • Pacemaker to Merit Student (Tianjin University), 2022
  • Zhe-Beiyang Scholarship (Tianjin University), 2021
Skills

Programming: Python, C++, PyTorch, R, LaTeX, Visual Basic

Software: PyCharm, Visual Studio Code, Mathematica, MATLAB, MS Office Suite

Languages: Chinese (Native), English (IELTS 6.5/9, CET-4: 584)

Interests: Piano (since age 4), Table Tennis, Cycling


Design inspired by Jon Barron's website