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

I am generally interested in research that spans both artificial intelligence/machine learning and game theory.

• 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 agriculture and healthcare
• C. Huang, et al. ``Infection prediction in swine populations with machine learning'', Scientific Report, 2023
• C. Huang, et al. ``Predicting antimicrobial resistance of bacterial pathogens using time series analysis'', Frontiers in Microbiology, 2023
• Game theory for machine learning: game theory, 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