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DongSeon Hwang

25 papers hereh-index 11353 citations37 works total

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

author position
  • sole author2
  • first author15
  • middle author7
  • last author1

Across the 25 of 25 papers where every author was matched, so the position is known.

fields
  • math.AG17
  • cs.LG3
  • eess.AS3
  • cs.CL1
  • cs.SD1
same name
  • DongSeon Hwang — 2 papers, h 1
  • DongSeon Hwang — 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
20082023
most citedGorenstein Q-homology projective planes

12 citations · 51 across the 25 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.LG2022

Resource-Efficient Transfer Learning From Speech Foundation Model Using Hierarchical Feature Fusion

Zhouyuan Huo, Khe Chai Sim, Bo Li +3

Self-supervised pre-training of a speech foundation model, followed by supervised fine-tuning, has shown impressive quality improvements on automatic speech recognition (ASR) tasks…

cs.LG2022★ 1 cited

Comparison of Soft and Hard Target RNN-T Distillation for Large-scale ASR

Dongseong Hwang, Khe Chai Sim, Yu Zhang +1

Knowledge distillation is an effective machine learning technique to transfer knowledge from a teacher model to a smaller student model, especially with unlabeled data. In this pap…

math.AG2022

Kähler-Einstein metrics on smooth Fano toroidal symmetric varieties of type AIII

Kyusik Hong, DongSeon Hwang, Kyeong-Dong Park

The wonderful compactification Xm​ of a symmetric homogeneous space of type AIII(2,m) for each m≥4 is Fano, and its blowup Ym​ along the unique closed orbit is Fano if…

cs.LG2022

Pseudo Label Is Better Than Human Label

Dongseong Hwang, Khe Chai Sim, Zhouyuan Huo +1

State-of-the-art automatic speech recognition (ASR) systems are trained with tens of thousands of hours of labeled speech data. Human transcription is expensive and time consuming.…

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