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Xiang Ren is an Associate Professor in the Department of Computer Science at the University of Southern California. He holds the Andrew Erna Viterbi Early Career Chair and is the Principal Investigator of the Intelligence Knowledge Discovery (INK) Research Lab. His research focuses on developing generalizable natural language processing (NLP) systems capable of handling a wide variety of language tasks and broadening the scope of model generality. Ren has worked extensively on creating new algorithms and datasets that improve the efficiency and reliability of NLP models while enhancing their transparency and user trust. In addition to his role at USC, he has served as a Data Science Advisor at Snapchat and has been affiliated with the NLP group at Stanford University. Ren's current research includes building evaluation methods to expose NLP systems to human reasoning scenarios and developing graph neural network methods for relational reasoning.
GRE is NOT required for Master's applicants for 2025-2026.