Concepedia

Youngjune Gwon

YG

33

Publications

2K

Citations

17

H-Index

2003

Active since

Affiliations

Harvard University Press(Current)

MIT Lincoln Laboratory

Samsung (South Korea)

Samsung SDS (South Korea)

Massachusetts Institute of Technology

Youngjune Gwon is an author at Harvard University Press specializing in engineering, machine learning, and deep learning.

Top concepts

EngineeringMachine LearningDeep LearningData ScienceComputer ScienceNatural Language ProcessingComputer VisionMobile ComputingMachine TranslationPattern Recognition

Publications per year

2003–2022

33

Publications

33

ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Jooyoung Choi, Sungwon Kim, Yonghyun Jeong et al. · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · 2021 · 556 citations

Engineering, Machine Learning, Diffusion Probabilistic Models +17

Detecting Depression using Vocal, Facial and Semantic Communication Cues

James R. Williamson, Elizabeth Godoy, Miriam Cha et al. · 2016 · 200 citations

Speech Corpus, Affective Neuroscience, Mental Health +23

Robust indoor location estimation of stationary and mobile users

Youngjune Gwon, Rahul Jain, T. Kawahara · 2005 · 193 citations

Location Tracking, Rf Localization, Engineering +12

Error characteristics and calibration-free techniques for wireless LAN-based location estimation

Youngjune Gwon, Ravi Jain · 2004 · 128 citations

Rf Localization, Engineering, Location Estimation +9

Evaluation of BERT and ALBERT Sentence Embedding Performance on Downstream NLP Tasks

Hyun‐Jin Choi, Judong Kim, Seongho Joe et al. · 2021 · 123 citations

Engineering, Machine Learning, Cross-lingual Representation +18

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