I am a Ph.D. candidate in Computer Science at the CVML Group, National University of Singapore (NUS), advised by Prof. Angela Yao. I am also a research intern at Taobao3D, Alibaba, working on large-scale 3D generative models.

My research focuses on controllable 3D generation and editing. I am particularly interested in how multimodal guidance and diffusion models can preserve reliable input evidence while completing, refining, and controlling ambiguous or missing 3D information.

I received my Master of Computing degree from NUS, where I further developed my research interests in AI and computer vision. Before that, I studied Information Management and Information Systems at the Beijing Institute of Technology (BIT), where I built a foundation in computing, systems, and problem-solving.

Publications

RelaxFlow: Text-Driven Amodal 3D Generation

Jiayin Zhu, Guoji Fu, Xiaolu Liu, Qiyuan He, Yicong Li, Angela Yao

International Conference on Machine Learning (ICML), 2026. Spotlight, top 2.2%.

Website / Arxiv / Code

Interp3D: Correspondence-Aware Interpolation for Generative Textured 3D Morphing

Xiaolu Liu, Yicong Li, Qiyuan He, Jiayin Zhu, Wei Ji, Angela Yao, Jianke Zhu

The Fourteenth International Conference on Learning Representations (ICLR), 2026.

Website / Paper / Code

AnchorDS: Anchoring Dynamic Sources for Semantically Consistent Text-to-3D Generation

Jiayin Zhu, Linlin Yang, Yicong Li, Angela Yao

The 40th Annual AAAI Conference on Artificial Intelligence, 2026.

Website / Paper / Code

InstructHumans: Editing Animatable 3D Human Textures with Instructions

Jiayin Zhu, Linlin Yang, Angela Yao

IEEE Transactions on Multimedia (TMM), 2026.

Website / Paper / Code

3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal Perspective

Zhedong Zheng, Jiayin Zhu, Wei Ji, Yi Yang, Tat-Seng Chua

npj Artificial Intelligence, 2026.

Paper / Code

HiFiHR: Enhancing 3D Hand Reconstruction from a Single Image via High-Fidelity Texture

Jiayin Zhu, Zhuoran Zhao, Linlin Yang, Angela Yao

German Conference on Pattern Recognition (GCPR), 2023.

Paper / Code

Services

• Teaching Asistant
  • CS2100 Computer Organisation in Sem 1 AY2023/2024
  • CS4243 Computer Vision and Pattern Recognition in Sem 2 AY2023/2024
  • CS4243 Computer Vision and Pattern Recognition in Sem 2 AY2025/2026
• Reviewer: NeurIPS, ECCV, AAAI, ICLR, CVPR, ICML

Honors

• ICML Gold Reviewer Award, 2026
• Research Achievement Award, NUS, 2025
• Finalist (1%), Interdisciplinary Contest in Modeling, COMAP MCM/ICM, 2020
• Dean’s Academic Scholarship, BIT, 2020

Others

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