About Me
I am a second-year Ph.D. student in Computer Science at Georgia Institute of Technology, advised by Prof. Stephen 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 about federated learning and its heterogeneity, reliability, security, accessibility, effectiveness, and privacy. I also participated in some work on visual analytics, including machine learning diagnosis and sports data analysis.
News
Preprints
- 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: NeurIPS 2022 Datasets and Benchmarks Track
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