Ke Wang
k.wang@epfl.ch
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 efficiency, reliability and robustness.
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.
I am from Chengdu, Sichuan in Southwest China (where the pandas are from). In my free time, I like football, spicy food, running by Lake Geneva and skiing.
selected publications
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LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model MergingIn In submission , 2024 -
Localizing Task Information for Improved Model Merging and CompressionIn International Conference on Machine Learning (ICML) , 2024 - Pi-DUAL: Using Privileged Information to Distinguish Clean from Noisy LabelsIn International Conference on Machine Learning (ICML) , 2024
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CLAD: A Contrastive Learning based Approach for Background DebiasingIn British Machine Vision Conference (BMVC) , 2022
