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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. Feel free to contact me for discussion or collaboration! My CV / Google Scholar / Github / 📧 |
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Junchao Huang, Ziyang Ye, Xinting Hu, Tianyu He, Guiyu Zhang, Shaoshuai Shi, Jiang Bian, Li Jiang Under Review, 2025 pdf / project page / code (coming soon) We introduce LIVE, a novel training framework that enforces bounded error accumulation for long-horizon video world modeling. Through a cycle-consistency constraint, LIVE performs forward rollout followed by reverse generation to reconstruct the initial state, enabling efficient autoregressive diffusion training. |
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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. |
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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. |
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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. |
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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 |
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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 |
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Microsoft Research Asia (MSRA)
Research Intern, Machine Learning Group October 2025 - Present Mentor: Tianyu He |
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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 |