Hi, I’m Zongqi He, received Bachelor’s degree from Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University. I was very fortunate to be advised by Prof. Kenneth K. M. Lam during my undergraduate studies. I am now a Ph.D. student at The University of Hong Kong, advised by Yifan (Evan) Peng.
My research interest includes computer vision, deep learning , low-level vision and 3D/4D reconstruction.
🔥 News
- 2025.12: 🎉🎉 I joined The University of Hong Kong (HKU) as a Ph.D. student.
- 2025.11: 🎉🎉 Our team submitted two papers to CVPR.
- 2025.09: 🎉🎉 Our paper was submitted to IEEE Transactions on Visualization and Computer Graphics (TVCG).
- 2025.09: 🎉🎉 Our team submitted a paper to IEEE VR 2026, where I contributed as the first author.
- 2025.09: 🎉🎉 I started working as a Research Assistant at The University of Hong Kong.
- 2025.08: 🎉🎉 Our team submitted a paper to IEEE Transactions on Medical Imaging (TMI).
🚧 Ongoing Projects
- Gaussian Representation: Exploring modifications of 3D Gaussian primitives to better capture high-frequency details for more accurate and realistic scene representation.
- Edge LLM for Small Models: Designing parameter-efficient language models and investigating their deployment and applications on edge devices.
📝 Publications
ICASSP 2025
Zongqi He, Zhe Xiao, Kin-Chung Chan, Yushen Zuo, Jun Xiao, Kin-Man Lam.
AI4VA@ECCV 2024
Towards Multi-View Consistent Style Transfer with One-Step Diffusion via Vision Conditioning
Yushen Zuo, Jun Xiao, Kin-Chung Chan, Rongkang Dong, Cuixin Yang, Zongqi He, Hao Xie, Kin-Man Lam
🎖 Honors and Awards
- 2025.03 NTIRE 2025 Challenge on Night Photography Rendering - 5th place.
- 2025.03 NTIRE 2025 Challenge on Ambient Light Normalization - 6th place.
- 2025.03 NTIRE 2025 Challenge on Restore Any Image Model (RAIM) in the Wild - Track 1 - 3rd place.
- 2024.08 AIM 2024 Challenge on Sparse Neural Rendering - Track 1 - 3 views - 3rd place.
- 2024.08 AIM 2024 Challenge on Sparse Neural Rendering - Track 2 - 9 views - 3rd place.
- 2024.08 AIM 2024 Challenge on Efficient Video Super-Resolution for AV1 Compressed Content - 2nd place.
- 2022-2024 Dean’s Honours List (two years)
- 2023 HKSAR Government Talent Development Scholarship
💻 Project Experience
- UV prediction using GNN
- I am working as a student assistant under Prof. Mengying Li, focusing on UV index prediction around Hong Kong using Graph Neural Networks (GNNs).
- Enhancing Sparse-view 3D Gaussian Splatting
- We proposed a novel 3D Gaussian Splatting method, SIDGaussian, for novel view synthesis under extremely sparse input conditions. We designed a semantic regularization and local depth regularization.
- 📝 This work has been accepted by ICASSP 2025.
- After that, we explored the potential of leveraging diffusion models to enhance sparse-view 3DGS.
- Our paper has been submitted to ACM MM 2025.
- We proposed a novel 3D Gaussian Splatting method, SIDGaussian, for novel view synthesis under extremely sparse input conditions. We designed a semantic regularization and local depth regularization.
- Medical Image Analysis
- Built a novel visual odometry pipeline for colonoscopic navigation, achieving robust depth and pose estimation under illumination shifts.
- Our paper has been submitted to ACM MM 2025.
- Built a novel visual odometry pipeline for colonoscopic navigation, achieving robust depth and pose estimation under illumination shifts.
- Retina OCT Image Denoising and Classification
- Proposed the FD Loss into the GAN architecture, which helps preserve the structural integrity of OCT images
during denoising.
- 📝 This work has been accepted by APSIPA 2024.
- Proposed the FD Loss into the GAN architecture, which helps preserve the structural integrity of OCT images
during denoising.
📖 Educations
- 2021.09 - 2025.10, The Hong Kong Polytechnic University.
- 2025.12 - now, The University of Hong Kong.
💻 Internships
- 2022.06 - 2022.08, Plaper (HK) Limited, Hong Kong.