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Hye Won Chung

KAIST

21 papers hereh-index 10284 citations43 works total

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

author position
  • first author7
  • middle author3
  • last author11

Across the 21 of 21 papers where every author was matched, so the position is known.

fields
  • cs.IT6
  • math.ST5
  • cs.HC3
  • cs.LG3
  • stat.ML2
  • cs.DS1
affiliations
  • KAIST
same name
  • Hye Won Chung — 9 papers, h 3
  • Hye Won Chung — 2 papers, h 1
  • Hye Won Chung — 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
20152023
most citedBounds on Variance for Unimodal Distributions

18 citations · 94 across the 21 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.HC2020

Crowdsourced Labeling for Worker-Task Specialization Model

Doyeon Kim, Hye Won Chung

We consider crowdsourced labeling under a d-type worker-task specialization model, where each worker and task is associated with one particular type among a finite set of types a…

stat.ML2020★ 12 cited

Robust Hypergraph Clustering via Convex Relaxation of Truncated MLE

Jeonghwan Lee, Daesung Kim, Hye Won Chung

We study hypergraph clustering in the weighted d-uniform hypergraph stochastic block model (d\textsf{-WHSBM}), where each edge consisting of d nodes from the same community h…

cs.IT2020

Binary Classification with XOR Queries: Fundamental Limits and An Efficient Algorithm

Daesung Kim, Hye Won Chung

We consider a query-based data acquisition problem for binary classification of unknown labels, which has diverse applications in communications, crowdsourcing, recommender systems…

math.ST2020★ 6 cited

Weak Detection in the Spiked Wigner Model with General Rank

Ji Hyung Jung, Hye Won Chung, Ji Oon Lee

We study the statistical decision process of detecting the signal from a `signal+noise' type matrix model with an additive Wigner noise. We propose a hypothesis test based on the l…

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