Summary
Hongmin Li is a postdoctoral researcher at the University of Tokyo with a decade of experience in machine learning, specializing in spectral clustering. He has published six papers, including two accepted at top AI and data mining conferences, signaling a strong research impact. Based in Ibaraki Prefecture, Japan, he bridges academia and industry, having worked as a machine learning engineer at Haomo.AI and as a researcher at The University of Tokyo and University of Tsukuba. With a Bachelor's in Electrical and Information Engineering from Ningxia University and an MSc and PhD in Computer Science from the University of Tsukuba, his background spans both hardware-oriented and software-driven ML work. His research focuses on scalable ML algorithms and practical data mining techniques, driven by a curiosity that blends theory with real-world clustering challenges.
10 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Electrical and information engineering, Bachelor's degree, Electrical and information engineering at Ningxia University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Tsukuba
English, Chinese, Japanese