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tao jiang tao jiang publications cv tao jiang 姜陶 postdoc at fair follow seattle wa usa email google scholar hello i am a postdoctoral researcher at foundamental ai research fair in meta hosted by lin xiao my research interests lie in the intersection of deep learning optimization and statistics i develop theory and methodologies to advance training and inference efficiency and performance for ai models for training we designed efficient and robust optimization algorithms such as bcos that achieve comparable performance as adam but requires less memory and fewer hyper parameters for inference we are developing principled approaches that prune and quantize models during training to achieve maximum inference efficiency without compromising performance i recently got my phd in operations research at cornell university advised by damek davis prior to that i received mmath in combinatorics and optimization at university of waterloo advised by steve vavasis and beng in engineering systems and design at singapore university of technology and design outside of office i enjoy hiking rock climbing and going out for adventures with my husband zhi sitemap follow feed 2026 tao jiang powered by jekyll academicpages a fork of minimal mistakes