Minghe Zhang

Minghe Zhang is a skilled researcher and engineer specializing in machine learning and optimization techniques. With experience as a Machine Learning Research Intern at Argonne National Laboratory, Minghe developed algorithms for combinatorial optimizations in power systems. Subsequent roles at Tencent and Amazon further honed expertise in task-adaptive meta-learning and applied machine learning applications. At Meta, Minghe has contributed to both the Recommendations Core ML team and the Reels ads ranking as a Research Scientist. Most recently, as a Machine Learning Scientist at TikTok, Minghe focused on short-video recommendations for the e-commerce sector. Minghe holds a Master's degree and a Ph.D. in Machine Learning from Georgia Institute of Technology, along with a Bachelor's degree in Electronic Engineering from Tsinghua University.