Minje Kim
Scholar

Minje Kim

Google Scholar ID: hEfnFKAAAAAJ
Associate Professor at University of Illinois at Urbana-Champaign
Efficiency in Machine LearningSpeech and Music Signal Processing
Citations & Impact
All-time
Citations
2,349
 
H-index
23
 
i10-index
46
 
Publications
20
 
Co-authors
91
list available
Resume (English only)
Academic Achievements
  • Published numerous papers, participated in several international conferences (such as WASPAA 2025, ISMIR 2025, ICASSP 2025, etc.), organized the Generative Data Augmentation (GenDA) workshop. Supervised students Darius Petermann and Anastasia Kuznetsova successfully defended their dissertations.
Research Experience
  • Guided multiple research projects at the University of Illinois, such as neural audio coding, developing efficient AI systems, etc.
Background
  • Research interests include personalized speech enhancement, collaborative deep learning, sparse mixture of local experts, knowledge distillation, self-supervised learning and data purification, music applications, etc.
Miscellany
  • Visited Fraunhofer IIS and International Audio Labs, exchanged with Timo Gerkmann's signal processing group at the University of Hamburg; recognized as 'Ajou Honorary Alumni' by alma mater Ajou University.