Kangping Hu | Georgia Institute of Technology

About Me

I am a third-year Ph.D. student in Computer Science at Georgia Institute of Technology, advised by Prof. Steve Mussmann. I received my bachelor’s degree from Turing Class at Zhejiang University, an honors program jointly cultivated by Chu Kochen Honors College and College of Computer Science and Technology. I am interested in how machine learning models can effectively and efficiently learn from limited labeled data in an explainable way. During my first year, I worked on temporal evolution with large language models that can adaptively learn from both labeled and unlabeled new knowledge over time while preserving useful information in old knowledge. Before that, I worked on several research projects related to federated learning, including its heterogeneity, reliability, security, accessibility, effectiveness, and privacy. I also participated in various projects related to visual analytics, including machine learning diagnosis and sports data analysis.

News

[Aug. 2023] I became a Ph.D. student at Georgia Institute of Technology.
[Jun. 2023] I graduated from Zhejiang University with my bachelor’s degree.
[Feb. 2022] I became a research intern at University of Illinois Urbana-Champaign, advised by Prof. Bo Li.
[Apr. 2021] I became an undergraduate research assistant at State Key Lab of CAD&CG, Zhejiang University, advised by Prof. Yingcai Wu and Prof. Wei Chen.

Preprints

Myopic Bayesian Decision Theory for Batch Active Learning with Partial Batch Label Sampling
Kangping Hu, Stephen Mussmann
[PDF] [Code]
UniFed: All-In-One Federated Learning Platform to Unify Open-Source Frameworks
Xiaoyuan Liu, Tianneng Shi, Chulin Xie, Qinbin Li, Kangping Hu, Haoyu Kim, Xiaojun Xu, The-Anh Vu-Le, Zhen Huang, Arash Nourian, Bo Li, Dawn Song
[PDF] [Code] [Website]

Publications

Tac-Trainer: A Visual Analytics System for IoT-based Racket Sports Training
Jiachen Wang, Ji Ma, Kangping Hu, Zheng Zhou, Hui Zhang, Xiao Xie, Yingcai Wu
IEEE Transactions on Visualization and Computer Graphics (TVCG). IEEE VIS 2022.
[PDF] [Website]

Honors and Awards

Zhejiang Provincial Outstanding Graduate (5%): 2023
Certificate of Chu Kochen Honors Program (5%): 2023
Zhejiang Provincial Government Scholarship (3%): 2022
Zhejiang University: First Prize Scholarship (3%): 2019 - 2022
Zhejiang University: Outstanding Student Leader (2%): 2020, 2022
Chu Kochen Honors College: Scholarship for Leading Achievements (5%): 2021
MIT “AI+X” Blended Learning Advanced SPOC: Graded A+ (10%): 2021
Chu Kochen Honors College Leadership Cultivation Program: Outstanding Student (2%): 2020

Services

Conference Reviewer: AISTATS 2026, NeurIPS 2022 Datasets and Benchmarks Track
Teaching Assistant: CS 7641: Machine Learning (Spring 2025), CS 6235: Real-time Systems (Fall 2024), CS 6365: Introduction to Enterprise Computing (Summer 2024), CS 6220: Big Data Systems and Analytics (Fall 2023)