Yulun Jiang Email  •  Google Scholar  •  GitHub   I'm a first-year PhD student at EPFL advised by Prof. Maria Brbic. I just finished my master study in Data Science at EPFL, where I worked at IVRL with Prof. Chen Liu and Prof. Sabine Süsstrunk. Prior to that, I obtained my bachelor degree at Wuhan Univeristy with Prof. Lei Yu. I'm interested in building reliable and efficient ML models suitable for real-world applications. I had research experiences related to adversarial robustness and unsupervised learning.

Publication

(* indicates equal contribution)

• Let Go of Your Labels with Unsupervised Transfer Learning

  Artyom Gadetsky, Yulun Jiang, Maria Brbic

  ICML 2024




• Towards Stable and Efficient Adversarial Training against l1 Bounded Adversarial Attacks

  Yulun Jiang^*, Chen Liu^*, Zhichao Huang, Mathieu Salzmann, Sabine Süsstrunk

  ICML 2023 [paper] [code] [poster]




• Predicting and Diagnosing User Engagement with Mobile UI Animation via a Data-Driven Approach

  Ziming Wu, Yulun Jiang, Yiding Liu, Xiaojuan Ma

  CHI 2020 [paper]

Education

• PhD student in Computer and Communication Sciences, EPFL, Switzerland (first year).

• Master in Data Science, EPFL, Switzerland, 2020-2023.

• Bachelor in Communication Engineering, Wuhan University, China, 2016-2020.