Ke Wang

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I am a PhD student at at EPFL (Swiss Federal Institute of Technology in Lausanne), under the supervision of Prof. Pascal Frossard. My research interests cover improving machine learning techniques in terms of reliability, robustness and data efficiency.

Before starting my PhD, I completed my MSc in Electrical Engineering with specialization in Data Science and Systems from EPFL, and my BSc in Electronic Information Science and Technology from University of Electronic Science and Technology of China.

I was also an intern in Oracle Labs in 2022 and Chinese Academy of Sciences in 2019.

selected publications

2024

  1. Localizing Task Information for Improved Model Merging and Compression
    Ke Wang* , Nikolaos Dimitriadis* , Guillermo Ortiz-Jimenez , and 2 more authors
    In International Conference on Machine Learning (ICML) , 2024
  2. Pi-DUAL: Using Privileged Information to Distinguish Clean from Noisy Labels
    Ke Wang , Guillermo Ortiz-Jimenez , Rodolphe Jenatton , and 3 more authors
    In International Conference on Machine Learning (ICML) , 2024

2022

  1. CLAD: A Contrastive Learning based Approach for Background Debiasing
    Ke Wang , Harshitha Machiraju , Oh-Hyeon Choung , and 2 more authors
    In British Machine Vision Conference (BMVC) , 2022

2020

  1. Polarization-Driven Edge-State Transport in Transition-Metal Dichalcogenides
    Ke Wang* , Gongwei Hu* , Yaming Zhang , and 3 more authors
    In Physical Review Applied , 2020