Summary
Kewei Tu is a professor and vice dean at ShanghaiTech University with over a decade of experience advancing natural language processing, machine learning, and AI. His research bridges symbolic, probabilistic, and neural methods to better represent and learn linguistic structure, and he is actively exploring ways to integrate those structures into transformers and large language models. He has progressed through academic ranks from assistant professor to vice dean while holding research positions at UCLA and UC Berkeley, reflecting a strong blend of scholarship and leadership. Kewei trained in computer science at Shanghai Jiao Tong University and earned a Ph.D. from Iowa State, giving him deep theoretical grounding alongside practical model-building. He is based in Pudong, Shanghai, and maintains a faculty homepage that curates his work and publications. Less obvious: he combines formal linguistic insights with probabilistic modeling, aiming to make modern neural architectures more interpretable and structure-aware.
10 years of coding experience
13 years of employment as a software developer
Changzhou Senior High School
Ph.D. Computer Science, Ph.D. Computer Science at Iowa State University
Master's degree Computer Science and Engineering, Master's degree Computer Science and Engineering at Shanghai Jiao Tong University
English, Chinese