1. Saturation in Snapshot Compressive Imaging (Submitted to arXiv, 2025)
2. Theoretical Characterization of Effect of Masks in Snapshot Compressive Imaging (SIAM Journal on Imaging Sciences, 2025)
3. Untrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms (Advances in Neural Information Processing Systems, 2024)
4. Theoretical Analysis of Binary Masks in Snapshot Compressive Imaging Systems (2023 59th Annual Allerton Conference on Communication, Control, and Computing (Allerton))
Research Experience
Interned at Bloomberg in summer 2025, working on a GUI LLM agent project.
Education
Bachelor's Degree: Xi’an Jiaotong University; Master's Degree: Rutgers University; Currently a PhD student in ECE at Rutgers University, advisor is Prof. Shirin Jalali.
Background
Research Interests: Visual restoration with image priors, LLM/MLLM agents and efficiency. Brief Introduction: PhD student in ECE at Rutgers University, advised by Prof. Shirin Jalali.
Miscellany
Has a reading group on deep learning for inverse problems.