Professor Lin’s research focuses on machine learning and data mining, where he develops efficient tools for the structural learning of massive data and flexible methods for understanding complex networks. He also works on data privacy and confidentiality, in particular, decision theoretic frameworks for evaluating risk and utility tradeoffs. Professor Lin is an Elected Member of the International Statistical Institute (ISI).
Ph.D., Purdue University; Statistics
M.S., Purdue University; Computer Science
M.S., Purdue University; Statistics
Name: Wu, Kaicheng
Graduation Date: 2018/May
Thesis Title: Stochastic Alternating Linearization Method in Solving Large-scale Machine Learning