I am a PhD student in the Department of Computational Medicine and Bioinformatics (DCMB) at the University of Michigan (U-M). I am a member of the Machine Learning in Neurosurgery Laboratory, led by Dr. Todd Hollon. My research focuses on computer vision, machine learning, and biomedical data science. I am especially interested in representation learning and integrating observations from multiple modalities. Previously, I completed a joint BSE/MSE degree program in Computer Science and Engineering at U-M, where I also played tenor saxophone in the Michigan Marching Band.
Recent Publications
Xinhai Hou *, Cheng Jiang*, ..., Honglak Lee, and Todd C. Hollon
CVPR | 2023 HIGHLIGHT
Hierarchical Discriminative Learning Improves Visual Representations of Biomedical MicroscopyCheng Jiang*, Xinhai Hou*, ..., Honglak Lee, and Todd C. Hollon
Todd Hollon, Cheng Jiang, ..., Christian Freudiger, Honglak Lee, and Daniel Orringer
NEURIPS DATASETS & BENCHMARKS | 2022
OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histologyCheng Jiang*, Asadur Chowdury*, Xinhai Hou*, ..., Honglak Lee, and Todd C. Hollon
NEUROSURGERY | 2022 COVER
Rapid automated analysis of skull base tumor specimens using intraoperative optical imaging and artificial intelligenceCheng Jiang, ..., Daniel A. Orringer, Honglak Lee, and Todd Hollon
Awards
F31 Individual Predoctoral Fellowship
National Institute of Neurological Disorders and Stroke | NIH/NINDS F31NS135973 | December 2023
Outstanding Graduate Student Instructor Award
University of Michigan Rackham Graduate School | April 2022
Biomedical Informatics & Data Science Training Program Fellowship
University of Michigan | NIH/NIGMS T32GM141746 | August 2021
Graduate Research Fellowships Program Honorable Mention
National Science Foundation | March 2021
Donald R. Shepherd Graduate Fellowship
University of Michigan Marching Band | May 2019
University of Michigan EECS Department | March 2019
University of Michigan | March 2017
Teaching
ENGR 101 @ University of Michigan
Introduction to Computers & Programming
Winter 2021 | Fall 2020 | Winter 2020 | Fall 2019