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You Jin Kim
You Jin Kim
Clova-Naver
Verified email at navercorp.com
Title
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Cited by
Year
Analyzing emotions in twitter during a crisis: A case study of the 2015 Middle East Respiratory Syndrome outbreak in Korea
HJ Do, CG Lim, YJ Kim, HJ Choi
2016 international conference on big data and smart computing (BigComp), 415-418, 2016
602016
Pushing the limits of raw waveform speaker recognition
J Jung, YJ Kim, HS Heo, BJ Lee, Y Kwon, JS Chung
arXiv preprint arXiv:2203.08488, 2022
382022
Highrisk prediction from electronic medical records via deep attention networks
YJ Kim, YG Lee, JW Kim, JJ Park, B Ryu, JW Ha
arXiv preprint arXiv:1712.00010, 2017
232017
Look who's talking: Active speaker detection in the wild
YJ Kim, HS Heo, S Choe, SW Chung, Y Kwon, BJ Lee, Y Kwon, JS Chung
arXiv preprint arXiv:2108.07640, 2021
152021
Adapting speaker embeddings for speaker diarisation
Y Kwon, J Jung, HS Heo, YJ Kim, BJ Lee, JS Chung
arXiv preprint arXiv:2104.02879, 2021
132021
Constructing an initial knowledge base for medical domain expert system using induct RDR
J Hyeon, KJ Oh, YJ Kim, H Chung, BH Kang, HJ Choi
2016 International Conference on Big Data and Smart Computing (BigComp), 408-410, 2016
132016
End-to-end lip synchronisation based on pattern classification
YJ Kim, HS Heo, SW Chung, BJ Lee
2021 IEEE Spoken Language Technology Workshop (SLT), 598-605, 2021
102021
[Regular Paper] Interpretable Prediction of Vascular Diseases from Electronic Health Records via Deep Attention Networks
S Park, YJ Kim, JW Kim, JJ Park, B Ryu, JW Ha
2018 IEEE 18th International Conference on Bioinformatics and Bioengineering …, 2018
102018
Multi-scale speaker embedding-based graph attention networks for speaker diarisation
Y Kwon, HS Heo, J Jung, YJ Kim, BJ Lee, JS Chung
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
92022
Self-supervised curriculum learning for speaker verification
HS Heo, J Jung, J Kang, Y Kwon, YJ Kim, BJL abd JS Chung
arXiv preprint 2203, 2022
92022
Avoiding overfitting in deep neural networks for clinical opinions generation from general blood test results
Y Kim, HG Kim, Z Li, HJ Choi
MEDINFO 2017: Precision Healthcare through Informatics, 1274-1274, 2017
62017
Disentangled dimensionality reduction for noise-robust speaker diarization
Y Kim, H Heo, J Jung, Y Kwon, B Lee, J Chung
arXiv preprint ArXiv:2110.03380, 2021
32021
High-resolution embedding extractor for speaker diarisation
HS Heo, Y Kwon, BJ Lee, YJ Kim, J Jung
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
22023
Method, system, and non-transitory computer readable record medium for speaker diarization combined with speaker identification
Y Kwon, HY Kang, YJ Kim, H Kim, BJ Lee, J Junghoon, I Han, HS Heo, ...
US Patent App. 17/576,492, 2022
22022
Raw waveform speaker verification for supervised and self-supervised learning
J Jung, YJ Kim, HS Heo, BJ Lee, Y Kwon, JS Chung
arXiv preprint arXiv:2203.08488, 2022
22022
Encoder-decoder multimodal speaker change detection
J Jung, S Seo, HS Heo, G Kim, YJ Kim, Y Kwon, M Lee, BJ Lee
arXiv preprint arXiv:2306.00680, 2023
12023
Model regularization of deep neural networks for robust clinical opinions generation from general blood test results
Y Kim, HG Kim, HJ Choi
2017 18th IEEE International Conference on Mobile Data Management (MDM), 386-391, 2017
12017
Clinical opinions generation from general blood test results using deep neural network with principle component analysis and regularization
YJ Kim, HG Kim, J Hyeon, HJ Choi
2017 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2017
12017
TalkNCE: Improving Active Speaker Detection with Talk-Aware Contrastive Learning
C Jung, S Lee, K Nam, K Rho, YJ Kim, Y Jang, JS Chung
arXiv preprint arXiv:2309.12306, 2023
2023
Advancing the Dimensionality Reduction of Speaker Embeddings for Speaker Diarisation: Disentangling Noise and Informing Speech Activity
YJ Kim, HS Heo, J Jung, Y Kwon, BJ Lee, JS Chung
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
2023
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