Kejun Huang

Assistant Professor, University of Florida

Joined

July 2019

Names

Kejun Huang (Preferred)

Emails

****@umn.edu (Confirmed)

****@ufl.edu (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Assistant Professor

University of Florida (ufl.edu)

2018 – Present

Postdoc

University of Minnesota, Minneapolis (umn.edu)

2016 – 2018

PhD student

University of Minnesota, Minneapolis (umn.edu)

2010 – 2016

Advisors, Relations & Conflicts

Coauthor

Xiao Fu

2014 – 2020

PhD Advisor

Nikos Sidiropoulos

2010 – 2018

Expertise

No areas of expertise listed

Publications

Provably Convergent Nonconvex Algorithm for Volume Optimization-based Latent Component Analyses
Jingzhou Hu, Kejun Huang
- Submitted to ICLR 2026
- Readers: Everyone
Global Identifiability of Overcomplete Dictionary Learning via L1 and Volume Minimization
Yuchen Sun, Kejun Huang
- ICLR 2025 Poster
- Readers: Everyone
HOQRI: Higher-Order QR Iteration for Scalable Tucker Decomposition
Yuchen Sun, Kejun Huang
- OpenReview Archive Direct Upload
- Readers: Everyone
Volume-Regularized Nonnegative Tucker Decomposition with Identifiability Guarantees
Yuchen Sun, Kejun Huang
- OpenReview Archive Direct Upload
- Readers: Everyone
Global Identifiability of $\ell_1$-based Dictionary Learning via Matrix Volume Optimization
Jingzhou Hu, Kejun Huang
- NeurIPS 2023 poster
- Readers: Everyone
Stochastic Douglas-Rachford Splitting for Regularized Empirical Risk Minimization: Convergence, Mini-batch, and Implementation
Aysegul Bumin, Kejun Huang
- Accepted by TMLR
- Readers: Everyone
A Novel Convergence Analysis for the Stochastic Proximal Point Algorithm
Aysegul Bumin, Kejun Huang
- 29 Sept 2021 (modified: 13 Feb 2023)
- ICLR 2022 Conference Withdrawn Submission
- Readers: Everyone
Stochastic Proximal Point Algorithm for Large-scale Nonconvex Optimization: Convergence, Implementation, and Application to Neural Networks
Aysegul Bumin, Kejun Huang
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Detecting Overlapping and Correlated Communities without Pure Nodes: Identifiability and Algorithm
Kejun Huang, Xiao Fu
- 2019 (modified: 11 Nov 2022)
- ICML 2019
- Readers: Everyone
Anchor-Free Correlated Topic Modeling.
Xiao Fu, Kejun Huang, Nicholas D. Sidiropoulos, Qingjiang Shi, Mingyi Hong
- 2019 (modified: 10 Nov 2022)
- IEEE Trans. Pattern Anal. Mach. Intell.2019
- Readers: Everyone

View all 14 publications