Chao Huang
Tenure-Track Assistant Professor,School of Computing, Montclair State University
Montclair, New Jersey, USA
Email: huangch [AT] montclair.edu
Office: 130G, Center for Computing and Information Science
About me
I am a tenure-track assistant professor at the School of Computing, Montclair State University.
I received my Ph.D. from the Chinese University of Hong Kong, Hong Kong in 2021, supervised by Prof. Jianwei Huang.
I was a postdoctoral researcher at the University of California, Davis, from Dec. 2021- Jun. 2024, advised by Prof. Xin Liu.
Research Interests
- Machine learning algorithm and theory: split learning, federated learning, online learning
- C. Huang, et al. ``Tackling biased evaluators in dueling bandits'', NeurIPS (spotlight), 2025
- C. Huang, et al. ``Convergence analysis of split federated learning on heterogeneous data'', NeurIPS, 2024
- C. Huang, et al. ``FedUV: uniformity and variance for heterogeneous federated learning'', CVPR, 2024
- Applied machine learning: machine learning applications in health and agriculture
- C. Huang, et al. ``Predicting antimicrobial resistance of bacterial pathogens using time series analysis'', Frontiers in Microbiology, 2023
- C. Huang, et al. ``Infection prediction in swine populations with machine learning'', Scientific Reports, 2023
- Game theory for machine learning: human bahavior modeling, mechanism design
- C. Huang, et al. ``Incentivizing participation in SplitFed learning: convergence analysis and model versioning'', IEEE ICDCS, 2024
- C. Huang, et al. ``Duopoly business competition in cross-silo federated learning'', IEEE TNSE, 2023
Student recruitment: I am looking for research assistants as well as students for independent studies. If interested, please email me with your CV and transcripts (undergraduate and graduate, if any).
News
- One paper accepted to INFOCOM ICCN Workshop, Feburary 2026. Congrats to Anower and Felix, and see you in Tokyo!
- I will be attending CRA's Career Mentoring Workshop, Feburary 2026. See you in Washington D.C.!
- One preprint survey paper on beyond-backpropagation training methods for neural networks released, January 2026!
- One paper accepted to NeurIPS (spotlight), September 2025. See you in San Diego!
- One paper accepted to MIPR, May 2025. Congrats to Ashley and see you in San Jose!
- One paper accepted to WiOpt, March 2025. See you in Linköping, Sweden!
- One paper accepted to Machine Learning Journal, January 2025.
- One paper accepted to AAAI FLUID Workshop, January 2025. See you in Philly!
- I will be attending NSF NeTS Early-Career Investigators Workshop, November 2024. See you in Alexandria, Virginia!
- One paper accepted to NeurIPS, September 2024. See you in Vancouver!
- I started as a tenure-track assistant professor at Montclair State University, September 2024! I am teaching graduate-level courses on machine learning!
- One paper accepted to IoT-J, August 2024!
- One paper accepted to ECAI, July 2024!
- One paper accepted to ICANN, June 2024!
- One paper accepted to IoT-J, May 2024!
- One paper accepted to ICDCS, April 2024!
- One paper accepted to CVPR, Feburary 2024!
- One paper published by IEEE Communications Magzine, December 2023!
- One paper published by Scientific Reports, October 2023!
- One paper published by IEEE TNSE, July 2023!