Kejun Huang

Kejun Huang Assistant Professor Department of Computer and Information Science and Engineering University of Florida Office: CSE E342 Email: kejun.huang@ufl.edu Google Scholar Curriculum Vitae

Research Interests

I'm interested in the general area of Machine Learning, Signal Processing, Optimization, and Statistics. Some specific topics include:

• Latent variable models with identifiability guarantees, which enables us to discover patterns in an unsupervised fashion, including nonnegative matrix factorization, bounded/independent component analysis, dictionary learning, and tensor decomposition.

• Non-convex optimization algorithms that are computationally efficient and (hopefully) with optimality guarantees.

• Applications in various areas, including data analytics, natural language processing, and computer vision.

News

• Feb. 2023, NSF CAREER Award

• Dec. 2022, 2022 IEEE Signal Processing Society Donald G. Fink Overview Paper Award: N. D. Sidiropoulos, L. De Lathauwer, X. Fu, K. Huang, E. E. Papalexakis, and C. Faloutsos, “Tensor Decomposition for Signal Processing and Machine Learning”, IEEE Transactions on Signal Processing, vol. 65, no. 13, pp. 3551-3582, July 1, 2017.

• Aug. 2022, SIGBio ACM-BCB Best Student Paper Award to A. Bumin for ‘‘FiT: Fiber-based Tensor Completion for Drug Repurposing’’ by A. Bumin, A. Ritz, D. Slonim, T. Kahveci, and K. Huang (2022).