Strong Northwestern CS Presence at the 2023 NeurIPS Conference

Faculty, students, postdocs, and alumni participated in the annual forum for advances in machine learning, artificial intelligence, and data science

Northwestern Computer Science had a strong presence at the Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), held December 10-16 in New Orleans.

NeurIPS is the premier annual forum for interdisciplinary research in fields including machine learning, computational neuroscience, reinforcement learning, computer vision, natural language processing, statistics, and optimization.

Northwestern Engineering’s Han Liu, Konstantin Makarychev, V.S. Subrahmanian, Xiao Wang, Zhaoran Wang, Ying Wu, and Xinyu Xing and several of their current and former PhD students and postdocs presented impactful research at the event.

“NeurIPS is one of the most prestigious and highly ranked conferences in machine learning, artificial intelligence, and data science,” said Makarychev, a professor of computer science at the McCormick School of Engineering. “This year, we had a number of very strong publications at this conference.”

Northwestern contributions to the NeurIPS 2023 technical program included:

  • On Sparse Modern Hopfield Model” — Han Liu, Orrington Lunt Professor of Computer Science at Northwestern Engineering and professor of statistics at Northwestern’s Weinberg College of Arts and Sciences; Jerry Yao-Chieh Hu, PhD student in computer science advised by Liu; master’s degree students in computer science Dennis Wu and Chenwei Xu; Donglin Yang, a former PhD student of computer science at Northwestern Engineering who is completing a doctoral program at the University of British Columbia; and Bo-Yu Chen (National Taiwan University)
  • Robust and Actively Secure Serverless Collaborative Learning” —Xiao Wang, assistant professor of computer science; Olive Franzese, PhD student in computer science; Christopher A. Choquette-Choo (Google), Adam Dziedzic (CISPA Helmholtz Center for Information Security), Congyu Fang, Muhammad Ahmad Kaleem, Nicolas Papernot, Stephan Rabanser, and Mark R. Thomas (University of Toronto and Vector Institute), Somesh Jha (Google and University of Wisconsin-Madison)

McCormick News Article