🧑‍🎓 Biography

I am currently a Ph.D. student in Shenzhen International Graduate School, Tsinghua University. I received my B.S. in the School of Electronics and Information Engineering, Harbin Institute of Technology in 2019. I received my M.S. in the School of Electronic and Computer Engineering, Peking University in 2022. My research interests encompass Computer Vision, Embodied AI, AI for Science and Self-supervised Learning.

🔭 Research Interests

Computer Vision, Embodied AI, AI for Science, Self-supervised Learning

🎓 Education

Ph.D student, Tsinghua University
Information and Communication Engineering, 2022.09 - present

M.S., Peking University
Computer Application Technology, 2019.09 - 2022.07

B.S., Harbin Institute of Technology
Communication Engineering, 2015.09 - 2019.07

💼 Research Experience

Research Intern, AI-Lab, ByteDance, Beijing
2021.04 - 2021.11
Self-supervised Learning, Multi-modal Learning

🔥 News

• 07/2025, 1 paper is accepted by ACM MM 2025

• 07/2024, 1 paper is accepted by ACM MM 2024

• 05/2024, 1 paper is accepted by ICML 2024

• 04/2024, 1 paper is accepted by IJCAI 2024

• 02/2024, 1 paper is accepted by CVPR 2024 (Oral)

• 01/2024, 1 paper is accepted by ICLR 2024

• 12/2023, 1 paper is accepted by AAAI 2024

📝 Main Papers

First author or *Equal contribution:

Enhanced Motion-aware Latent Diffusion Models for Video Frame Interpolation
Z Huang, C Qin, Y Xing, W Yang

Motion-aware Latent Diffusion Models for Video Frame Interpolation
Z Huang, Y Yu, L Yang, C Qin, B Zheng, X Zheng, Z Zhou, Y Wang, W Yang
[paper]

Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation
Z Huang, L Yang, X Zhou, C Qin, Y Yu, X Zheng, Z Zhou, W Zhang, Y Wang, W Yang
[paper] [code]

Efficient Event Stream Super-Resolution with Recursive Multi-Branch Fusion
Q Liang*, Z Huang*, X Zheng, F Yang, J Peng, K Huang, Y Tian
[paper] [code]

Bilateral Event Mining and Complementary for Event Stream Super-Resolution (Oral)
Z Huang, Q Liang, Y Yu, C Qin, X Zheng, K Huang, Z Zhou, W Yang
[paper] [code]

Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models
Z Huang, L Yang, X Zhou, Z Zhang, W Zhang, X Zheng, J Chen, Y Wang, B Cui, W Yang
[paper] [code]

Binding-Adaptive Diffusion Models for Structure-Based Drug Design
Z Huang, L Yang, Z Zhang, X Zhou, Y Bao, X Zheng, Y Yang, Y Wang, W Yang
[paper] [code]

Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training
L Yang*, Z Huang*, Y Song, S Hong, G Li, W Zhang, B Cui, B Ghanem, M Yang
[paper] [code]

📮 Contact Me

• Email: zerinhwang03@pku.edu.cn
• WeChat: zerinhwang03