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I'm currently a Neuroscience PhD student at the University of Southern California. My research interests are developing and applying deep learning methods for high dimensional or multimodal brain imaging data and studying how they can inform the understanding, diagnosis or treatment of neurodegenerative diseases.
University of Souther California.📍Los Angeles, CA
MSE, Computer and Information Science (CIS), GPA: 3.94/4
University of Pennsylvania.📍Philadelphia, PA
BA, Computer Science and Cognitive Science, GPA: 3.77/4
University of Virginia.📍Charlottesville, VA
- Zhang X, Feng Y, Li F, Ding J, Tahseen D, Ezekiel H, Chen Y, Tao C. (2021) MedDRA-ICD Mapping Evaluation Based on UMLS and OHDSI. VDOS'21: Vaccine and Drug Ontology Studies, Virtual, September 18, 2021.
- Feng Y, Kim M, Yao X, Liu K, Long Q, Shen L. (2020) Deep multiview learning for population subtyping with multimodal imaging. BIBE’20: IEEE Int. Conf. on BioInformatics and BioEngineering, pp 308-314, Virtual Conference, October 26-28, 2020.
- Feng Y, Kim M, Liu K, Saykin AJ, Moore JH, Long Q, Shen L. (2021) Identifying Multimodal Imaging-Driven Subtypes in Mild Cognitive Impairment using Deep Multiview Learning. AAIC'21: Alzheimer's Association Int. Conf. on Alzheimer's Disease, Amsterdam, Netherlands and Online, July 26-30, 2021.
- Homdee N, Boukhechba M, Feng YW, Kramer N, Lach J, Barnes LE. (2019) Enabling Smartphone-based Estimation of Heart Rate. preprint arXiv: 1912.08910.
Deep Multiview Learning to Identify Imaging-driven Subtypes in Mild Cognitive Impairment.
International Conference on Intelligent Biology and Medicine (ICIBM 2021).📍 Virtual.