Xiaodong Lin
Professor
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Rutgers Business School Graduate Programs Graduation Information
Professor Lin’s research focuses on two major areas. The first is statistical machine learning and data mining, where I have concentrated on developing scalable tools for analyzing massive data with complex structures; in particular, efficient techniques for independent and time dependent data models, and more flexible statistical methods for analyzing both static and dynamic networks. My second research area is on generative AI, where I have worked on topics including on-device LLM, language-guided image generation, text-to-3D synthesis, and image editing.
Ph.D., Purdue University; Statistics
M.S., Purdue University; Computer Science
M.S., Purdue University; Statistics
Name: Yu, Shui
Graduation Date: 2024/May
Name: Zhang, Shengming
Graduation Date: 2024/May
Name: Wu, Kaicheng
Graduation Date: 2018/May
Thesis Title: Stochastic Alternating Linearization Method in Solving Large-scale Machine Learning
Name: Du, Yu
Graduation Date: 2017/May
Thesis Title: Selective Linearization for Multi-Block Convex Optimization
Name: Pham, Minh
Graduation Date: 2014/Oct