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Minje Kim

University of Illinois Urbana-Champaign

35 papers hereh-index 212.6k citations85 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author1
  • middle author5
  • last author28

Across the 35 of 35 papers where every author was matched, so the position is known.

fields
  • eess.AS21
  • cs.SD9
  • cs.DC2
  • cs.LG2
  • cs.OH1
affiliations
  • University of Illinois Urbana-Champaign
Homepage
same name
  • Minje Kim — 10 papers, h 2
  • Minje Kim — 9 papers, h 5
  • Minje Kim — 7 papers, h 2
  • Minje Kim — 6 papers, h 4
  • Minje Kim — 5 papers, h 4
  • Minje Kim — 3 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152023
most citedJoint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation

479 citations · 827 across the 35 of their papers we have counts for

collaborators
Showing 2017Show all

3 papers · 1 filter

cs.OH2017★ 15 cited

DeepPicar: A Low-cost Deep Neural Network-based Autonomous Car

Michael G. Bechtel, Elise McEllhiney, Minje Kim +1

We present DeepPicar, a low-cost deep neural network based autonomous car platform. DeepPicar is a small scale replication of a real self-driving car called DAVE-2 by NVIDIA. DAVE-…

cs.SD2017

Bitwise Source Separation on Hashed Spectra: An Efficient Posterior Estimation Scheme Using Partial Rank Order Metrics

Lijiang Guo, Minje Kim

This paper proposes an efficient bitwise solution to the single-channel source separation task. Most dictionary-based source separation algorithms rely on iterative update rules du…

cs.SD2017

Collaborative Deep Learning for Speech Enhancement: A Run-Time Model Selection Method Using Autoencoders

Minje Kim

We show that a Modular Neural Network (MNN) can combine various speech enhancement modules, each of which is a Deep Neural Network (DNN) specialized on a particular enhancement job…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.