🧑‍🎓 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

• 07/2024, 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

📝 Papers

First author or *Equal contribution:

Motion-aware Latent Diffusion Models for Video Frame Interpolation
Zhilin Huang, Yijie Yu, Ling Yang, Chujun Qin, Bing Zheng, Xiawu Zheng, Zikun Zhou, Yaowei Wang, Wenming Yang
[paper]

Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation
Zhilin Huang*, Ling Yang*, Xiangxin Zhou, Chujun Qin, Yijie Yu, Xiawu Zheng, Zikun Zhou, Wentao Zhang, Yu Wang, Wenming Yang
[paper] [code]

Efficient Event Stream Super-Resolution with Recursive Multi-Branch Fusion
Quanmin Liang*, Zhilin Huang*, Xiawu Zheng, Feidiao Yang, Jun Peng, Kai Huang, Yonghong Tian
[paper] [code]

Bilateral Event Mining and Complementary for Event Stream Super-Resolution (Oral)
Zhilin Huang*, Quanmin Liang*, Yijie Yu, Chujun Qin, Xiawu Zheng, Kai Huang, Zikun Zhou, Wenming Yang
[paper] [code]

Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models
Zhilin Huang*, Ling Yang*, Xiangxin Zhou, Zhilong Zhang, Wentao Zhang, Xiawu Zheng, Jie Chen, Yu Wang, Bin Cui, Wenming Yang
[paper] [code]

Binding-Adaptive Diffusion Models for Structure-Based Drug Design
Zhilin Huang*, Ling Yang*, Zaixi Zhang, Xiangxin Zhou, Yu Bao, Xiawu Zheng, Yuwei Yang, Yu Wang, Wenming Yang
[paper] [code]

Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training
Ling Yang*, Zhilin Huang*, Yang Song, Shenda Hong, Guohao Li, Wentao Zhang, Bin Cui, Bernard Ghanem, Ming-Hsuan Yang
[paper] [code]

Region-aware Attention for Image Inpainting
Zhilin Huang, Chujun Qin, Zhenyu Weng, Yuesheng Zhu
[paper]

Structure-aware Image Inpainting with Two Parallel Streams
Zhilin Huang, Chujun Qin, Ruixin Liu, Zhenyu Weng, Yuesheng Zhu
[paper]

Semantic-aware Context Aggregation for Image Inpainting
Zhilin Huang*, Chujun Qin*, Ruixin Liu, Zhenyu Weng, Yuesheng Zhu
[paper]

Confidence-based Global Attention Guided Network for Image Inpainting
Zhilin Huang, Chujun Qin, Lei Li, Ruixin Liu, Yuesheng Zhu
[paper]

Other collaborations:

Graphusion: Latent Diffusion for Graph Generation
Ling Yang, Zhilin Huang, Zhilong Zhang, Zhongyi Liu, Shenda Hong, Wentao Zhang, Wenming Yang, Bin Cui, Luxia Zhang

Improving diffusion-based image synthesis with context prediction
Ling Yang, Jingwei Liu, Shenda Hong, Zhilong Zhang, Zhilin Huang, Zheming Cai, Wentao Zhang, Bin Cui
[paper]

Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization
Ling Yang, Jiayi Zheng, Heyuan Wang, Zhongyi Liu, Zhilin Huang, Shenda Hong, Wentao Zhang, Bin Cui
[paper]

Bi-encoder Network with Structure-texture Consistency for Image Inpainting
Chujun Qin, Zhilin Huang, Ruixin Liu, Zhenyu Weng, Yuesheng Zhu
[paper]

📮 Contact Me

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