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Kee-Bong Song

4 papers hereh-index 9713 citations31 works total

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

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • eess.SP2
  • cs.IT1
  • cs.LG1
same name
  • Kee-Bong Song — 2 papers, h 2
  • Kee-Bong Song — 1 paper, h 1

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
20192023
most citedSLoRA: Federated Parameter Efficient Fine-Tuning of Language Models

9 citations · 18 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2023★ 9 cited

SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models

Sara Babakniya, Ahmed Roushdy Elkordy, Yahya H. Ezzeldin +4

Transfer learning via fine-tuning pre-trained transformer models has gained significant success in delivering state-of-the-art results across various NLP tasks. In the absence of c…

eess.SP2021

Explicit Calibration of mmWave Phased Arrays with Phase Dependent Errors

Joyson Sebastian, Pranav Dayal, Kee-Bong Song +1

We consider an error model for phased array with gain errors and phase errors, with errors dependent on the phase applied and the antenna index. Under this model, we propose an alg…

eess.SP2019★ 1 cited

Reliable and Low-Complexity MIMO Detector Selection using Neural Network

Shailesh Chaudhari, HyukJoon Kwon, Kee-Bong Song

In this paper, we propose to dynamically select a MIMO detector using neural network for each resource element (RE) in the transport block of 5G NR/LTE communication system. The ob…

cs.IT2019★ 8 cited

A New Codebook Design for Analog Beamforming in Millimeter-wave Communication

Mehdi Ganji, Hongbing Cheng, Qi Zhan +1

In this study, we analyze the codebook design used for analog beamforming. Analog beamforming and combining suffer from a subspace sampling limitation, that is, the receiver cannot…

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