About Me

I am a Senior Vision Algorithm Engineer at Honor, specializing in the development and deployment of cutting-edge imaging technologies driven by artificial intelligence. I earned my Ph.D. from the College of Optical Science and Engineering, Zhejiang University in June 2025. I was honored to be selected as a member of the inaugural cohort of the Pujiang National Laboratory Joint Training Ph.D. Program (2022-2025), where I conducted my doctoral research under the mentorship of Dr. Yueting Chen and co-supervision from Prof. Tianfan Xue. My research expertise spans optical engineering and AI-enhanced imaging, with a particular emphasis on generative artificial intelligence and its applications in cloud-based image enhancement.

My professional work focuses on harnessing generative AI models to advance imaging algorithms, optimize sensor data interpretation, and pioneer novel cloud-based computational imaging methodologies. I have led and contributed to numerous projects that integrate AI with optics and computer vision, resulting in significant advancements in image synthesis, enhancement, and real-time processing.

I hold a Bachelor of Science degree in Optoelectronic Information Science and Engineering from Central South University, where I was honored with the National Scholarship and recognition as an Outstanding Graduate of Hunan Province. I pursued an integrated Master’s and Ph.D. program at Zhejiang University, with my Master’s research focused on computational imaging under the guidance of Prof. Huajun Feng.

Throughout my doctoral studies, I had the privilege to collaborate with leading experts including Shi Guo, Zhihai Xu, Jinwei Gu, Xuelong Li, Qi Li, and Bin Zhao, collectively pushing the boundaries of AI-driven imaging science.

Research Interests

My research and engineering expertise encompass:

• Generative Artificial Intelligence
• Optical Engineering and Computational Photography
• Computer Vision and Graphics
• Sensor Technologies and Signal Processing
• Video and Image Enhancement

I am passionate about harnessing interdisciplinary approaches to develop state-of-the-art imaging systems and AI algorithms with practical impact.

News

Publications

Jitter-Aware Restoration with Equivalent Jitter Model for Remote Sensing Push-Broom Image Ziran Zhang*, Zida Chen*, Die Hu, Menghao Li, Zhihai Xu, Huajun Feng, Qi Li,Yueting Chen IEEE Transactions on Geoscience and Remote Sensing 2025 [ Paper | BibTex | Code ]

From Sim-to-Real: Toward General Event-based Low-light Frame Interpolation with Per-scene Optimization Ziran Zhang*, Yongrui Ma*, Yueting Chen, Feng Zhang, Jinwei Gu, Tianfan Xue, Shi Guo SIGGRAPH Asia 2024 [ Paper | Preprint | BibTex | Code ]

Deep Linear Array Pushbroom Image Restoration: A Degradation Pipeline and Jitter-Aware Restoration Network Zida Chen, Ziran Zhang*, Haoying Li, Menghao Li, Yueting Chen, Qi Li, Huajun Feng, Zhihai Xu, Shiqi Chen AAAI 2024 [ Paper | BibTex | Code ]

ASF-Transformer: neutralizing the impact of atmospheric turbulence on optical imaging through alternating learning in the spatial and frequency domains Ziran Zhang, Bin Zhao, Yueting Chen, Zhigang Wang, Dong Wang, Jiawei Sun, Jie Zhang, Zhihai Xu, Xuelong Li Optics Express 2023 [ Paper | BibTex | Code ]

Imaging Simulation and Learning-based Image Restoration for Remote Sensing Time Delay and Integration Cameras Menghao Li, Ziran Zhang, Shiqi Chen, Zhihai Xu, Qi Li, Huajun Feng, Yueting Chen IEEE Transactions on Geoscience and Remote Sensing 2023 [ Paper | BibTex ]

Real-world deep local motion deblurring Haoying Li, Ziran Zhang*, Tingting Jiang, Peng Luo, Huajun Feng, Zhihai Xu AAAI 2023 [ Paper | Preprint | BibTex | Project page | Code ]

Deep learning-based image reconstruction for photonic integrated interferometric imaging Ziran Zhang, Haoying Li, Guomian Lv, Hao Zhou, Huajun Feng, Zhihai Xu, Qi Li, Tingting Jiang, Yueting Chen Optics Express 2022 [ Paper | BibTex | Code ]

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