Yang V. Li
Affiliation: Stanford University
Institution: Stanford University
ORCID: 0000-0002-1360-1978
External IDs: ResearchGate: yangli | Google Scholar: Yang V. Li
Email: yangli@stanford.edu
Works: 45, Cited by: 1023, H-index: 20
Professor of Computer Science at Stanford University, specializing in Machine Learning and Computer Vision.
Education
- PhD in Computer Science, Harvard University (2008-2013)
- BS in Electrical Engineering, MIT (2004-2008)
Research Interests
Keywords:
Machine Learning Computer Vision Artificial Intelligence
Topics:
Machine Learning Computer Vision Artificial Intelligence
Professional Links
Selected Publications
Zinc enhances enzyme activity minimally
Kunhiraman S, Haridas M, Basheer SM, Chellappan S, Abdulhameed S. Least hemolytic, 12.6 kDa, plasmin-like fibrinolytic protease from marine Penicillium steckii KU1. Int J Biol Macromol. 2024;283:137854. doi:10.1016/j.ijbiomac.2024.137854
Zinc benefits blood clot healing
Ponsen AC, Proust R, Soave S, Mercier-Nomé F, Garcin I, et al. A new hemostatic agent composed of Zn-enriched Ca alginate activates vascular endothelial cells and promotes tissue repair . Bioact Mater. 2022;18:368. doi:10.1016/j.bioactmat.2022.01.049
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