Liangze Jiang

Liangze Jiang

MSc Student

EPFL

About Me

Hi! My name is Liangze Jiang (Chinese: 姜良泽), and I am a master’s student in Electrical Engineering at École Polytechnique Fédérale de Lausanne (EPFL), where I had the opportunity of working with Prof. Amir Zamir and Prof. Martin Jaggi. I also spent half year as a Research Intern at Google Research (Zurich), working with Dr. Claudiu Musat and Dr. Pedro Gonnet. Previously, I got my Bachelor degree in Information and Communication Engineering at University of Electronic Science and Technology of China (UESTC).

I am broadly interested in building real-world ML applications in centralized or distributed settings:

  • Robustness & Fairness / Generalization
  • Federated Learning
  • (Unsupervised) Domain Adaptation
  • AI + Security

Publications

(* denotes equal contribution)

Test-time Robust Personalization for Federated Learning
Liangze Jiang*, Tao Lin*
Arxiv 2022
[PDF] [Code]

Research Experiences

10.2022 - Present, Master Thesis @ Visual Intelligence and Learning Lab, EPFL
02.2022 - 08.2022, Research Intern (Student Researcher) @ Google Research (Zurich)
09.2021 - 03.2022, Research Assistant @ Machine Learning and Optimization Lab, EPFL
06.2021 - 09.2021, Software Engineer Intern @ Institute of Software, Chinese Academy of Sciences

Awards

  • Outstanding Graduate Award, 2020, Ranking: 7/249
  • Undergraduate Academic Excellence Scholarship, 2016-2020, Top 10%
  • China National Scholarship, 2019, Top 0.2%
  • Meritorious Winner in MCM (International Mathematical Contest in Modeling), 2019, Top 7%
  • Sekorm Second-Class Scholarship, 2018, Top 3%
  • China National Scholarship, 2017, Top 0.2%

Open-Source Contribution