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About Me

I am a second-year Ph.D. student in Computer Science at Georgia Institute of Technology, supervised by Prof. Calton Pu. 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 working on temporal evolution with large language models that can learn from labeled or 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 works 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