About Me
I am a Researcher at the Shanghai Academy of AI for Science (SAIS), working with Prof. Siyu Zhu. My current work involves image, video, and language generation, visual editing, evaluation of generative models, and efficient inference for diffusion-based systems. I am also building on an earlier background in computational photography and imaging.
I earned my Ph.D. from Zhejiang University in June 2025. Before joining SAIS, I worked as a Senior Vision Algorithm Engineer at HONOR, contributing to production-oriented generative imaging systems. I was also a member of the inaugural cohort of the Pujiang National Laboratory Joint Training Ph.D. Program (2022–2025), jointly advised by Dr. Yueting Chen and Prof. Tianfan Xue.
I obtained my B.S. from Central South University, where I received the National Scholarship and was recognized as an Outstanding Graduate of Hunan Province. My Master's research at Zhejiang University was advised by Prof. Huajun Feng. Afterwards, I pursued my Ph.D. through a direct Master-to-Ph.D. program, with joint research supervision from Shanghai AI Lab.
I value careful experimentation, transparent evaluation, and steady collaboration, and I am open to exchanging ideas with researchers and students interested in generative vision and efficient inference.
Research Interests
Recent Highlights
- 01.2025A paper is published in IEEE TGRS 2025 on physics-guided jitter-aware image restoration.
- 12.2024A paper is published in SIGGRAPH Asia 2024 on event-based low-light frame interpolation.
- 07.2024A paper is published in AAAI 2024 on deep restoration for linear-array imaging.
- 10.2023A paper is published in Optics Express 2023 on computational imaging.
- 08.2023A paper is published in IEEE TGRS 2023 on real-world imaging pipelines and restoration.
- 06.2023A paper is published in AAAI 2023 in computer vision and imaging.
- 11.2022A paper is published in Optics Express 2022 on deep reconstruction for interferometric imaging.
Technical Skills
Image, Video & Language Generation
- Image and video generation, editing, and quality assessment.
- Multimodal data preparation and model adaptation.
Diffusion Model Acceleration & Inference
- Diffusion sampling, distillation, and inference optimization.
- Practical evaluation and deployment support.
Computational Photography & Imaging
- Low-light imaging, event-based vision, line-scan restoration.
- Interferometric and optical reconstruction.
- Imaging pipelines and practical restoration.
Selected Publications
Full list on Google Scholar.
Research in Progress
Industry Translation
HONOR "Da Wang Imaging": Cloud-enhanced Long-focal-length Super-resolution
Contributed to the development and deployment of a diffusion-based cloud enhancement pipeline for long-focal-length super-resolution on HONOR Magic flagship smartphones.
Contributions included model adaptation, data and quality evaluation, artifact suppression, and efficient inference.
Huawei Mate 60: RAW-SR AI Cloud Enhancement
Contributed to a RAW super-resolution and AI cloud enhancement project for the Huawei Mate 60 series during an internship at Huawei 2012 Laboratory.
Work focused on RAW image restoration, model evaluation, and practical imaging optimization.
Experience & Education
Professional
- 2026–Present — Researcher, SAIS
- 2025–2026 — Senior Vision Algorithm Engineer, HONOR
- 2023–2025 — Trainee Researcher, Shanghai AI Lab
- 2022 — Media Algorithm Intern @ Huawei 2012 Lab
Education
- Ph.D. Optical Engineering, Zhejiang University— Joint Program with Shanghai AI Lab (2022–2025)
- M.S. Optical Engineering, Zhejiang University (2020–2022)
- B.S. Optoelectronic Information Science and Engineering, Central South University (2016–2020)
Earlier Close Collaborators
Shi Guo · Shiqi Chen · Haoying Li · Yongrui Ma · Yihao Liu
Honors & Service
Honors
- Outstanding Graduate of Zhejiang University (2025)
- National Scholarship (Undergraduate, 2019)
- Outstanding Graduate of Hunan Province (2020)
Service
- Program Committee Member — AAAI 2026, AAAI 2027
- Reviewer — IEEE TCI, TGRS, Optics Express, Applied Optics, ACM MM, ECCV, ICCV, BMVC
- EAC 2025 Talk — Event Vision
- SIGGRAPH Asia 2024 Oral Presentation — Sim-to-Real Event-based Frame Interpolation, Tokyo
Contact
- Email: zhangziran@sais.org.cn
- GitHub: github.com/naturezhanghn
- Google Scholar: Google Scholar