NeuroAI · Machine Learning · Computational Imaging
Yi-Chun Hung
PhD Candidate in Computer Science
Northwestern University
Evanston, IL
Hello!
Yi-Chun Hung is a PhD candidate in Computer Science at Northwestern University. His research spans NeuroAI, machine learning, computational imaging, and inverse problems. He is currently advised by Emma Alexander.
He is particularly interested in theoretical research in NeuroAI and machine learning. If you would like to collaborate with him on these topics, feel free to get in touch.
News
New Completed a NeuroAI internship at Cold Spring Harbor Laboratory.
New Attended the Cold Spring Harbor Laboratory “Computational Neuroscience: Vision” Summer School.
Spectrum from Defocus: Fast Spectral Imaging with Chromatic Focal Stack was accepted to CVPR 2026 as an oral presentation. Project website
Homeostatic Adaptation of Optimal Population Codes under Metabolic Stress was accepted to ICLR 2026. Paper