Hi there, I’m Xinrui “Ryan” Jiang, a master’s student in EE at Stanford University. Prior to that, I received my B.Eng from Fudan University. During my undergraduate study, I was fortunate to be advised by Professor Zhengzhong Tu at Texas A&M University and Professor Berkin Bilgic at Martinos Center for Biomedical Imaging/Harvard Medical School.
My work focuses on generative AI, agentic AI, and low-level vision. I enjoy the process of formalizing complex real-world challenges into optimization problems, and deriving actionable solutions with data-driven computational methods.
📝 Publications
4KAgent: Agentic Any Image to 4K Super-Resolution
Yushen Zuo, Qi Zheng, Mingyang Wu, Xinrui Jiang, Renjie Li, Jian Wang, Yide Zhang, Gengchen Mai, Lihong V. Wang, James Zou, Xiaoyu Wang, Ming-Hsuan Yang, Zhengzhong Tu
- We present 4KAgent, an agentic image super-resolution generalist designed to universally upscale any image to 4K resolution, regardless of input type, degradation level, or domain.
Xinrui Jiang, Yohan Jun, Jaejin Cho, Mengze Gao, Xingwang Yong, Berkin Bilgic
- We purposed NLCG-Net, a model-based and data-driven framework achieved via self-supervised learning, which incorporates nonlinear conjugate gradient optimization and Neural Network Regularization in a iterative manner and achieves zero-shot quantitative MRI reconstruction. T1, T2 mapping results on phantom and in-vivo data demonstrates NLCG-Net’s superiority on estimation quality at high acceleration.
💻 Internships
- 2025.03 - 2025.08, Machine Learning Engineer at Microsoft.
- 2024.01 - 2024.04, Machine Learning at TikTok/Bytedance.
🎖 Selected Awards
- 2023.09 Suiwei Scholarship (top 1%)
- 2022.09 National Scholarship (top 1%)
🌟 Fun
In my spare time, I enjoy running (~5km each time), making LEGO figure, and playing with my cat Dafu (he is an American Shorthair)
