Medical Prognosis Generation from General Blood Test Results Using Knowledge-Based and Machine-Learning-Based Approaches. - You Jin Kim; Jonghwan Hyeon; Kyo-Joong Oh; Ho-Jin Choi (Australasian Conference on Artificial Intelligence, 2016)

Analyzing emotions in twitter during a crisis: A case study of the 2015 Middle East Respiratory Syndrome outbreak in Korea. - Hyo Jin Do; Chae-Gyun Lim; You Jin Kim; Ho-Jin Choi (BigComp, 2016)

Constructing an initial knowledge base for medical domain expert system using induct RDR. - Jonghwan Hyeon; Kyo-Joong Oh; You Jin Kim; Hyunsuk Chung; Byeong Ho Kang 001; Ho-Jin Choi (BigComp, 2016)

Clinical opinions generation from general blood test results using deep neural network with principle component analysis and regularization. - You Jin Kim; Han-Gyu Kim; Jonghwan Hyeon; Ho-Jin Choi (BigComp, 2017)

Model Regularization of Deep Neural Networks for Robust Clinical Opinions Generation from General Blood Test Results. - You Jin Kim; Han-Gyu Kim; Ho-Jin Choi (MDM, 2017)

Avoiding Overfitting in Deep Neural Networks for Clinical Opinions Generation from General Blood Test Results. - You Jin Kim; Han-Gyu Kim; Zhun Li; Ho-Jin Choi (MedInfo, 2017)

Highrisk Prediction from Electronic Medical Records via Deep Attention Networks. - You Jin Kim; Yun-Geun Lee; Jeong-Whun Kim; Jin Joo Park; Borim Ryu; Jung-Woo Ha 001 (CoRR, 2017)

Interpretable Prediction of Vascular Diseases from Electronic Health Records via Deep Attention Networks. - Seunghyun Park 001; You Jin Kim; Jeong-Whun Kim; Jin Joo Park; Borim Ryu; Jung-Woo Ha 001 (BIBE, 2018)

DC-offset Estimation of Multiple CW Micro Doppler Radar. - Dong Kyoo Kim; You Jin Kim (EUSIPCO, 2018)

The Extended LM method For Multiple Frequencies Micro-Doppler Radar for Human Heartbeat Sensing. - Dong Kyoo Kim; You Jin Kim (ICCE-Berlin, 2019)

Control the value of I/Q DC-Bias and Gain from the experimental result of 24GHz Doppler Radar. - You Jin Kim; Dong Kyoo Kim (ICTC, 2019)

Pig Datasets of Livestock for Deep Learning to detect Posture using Surveillance Camera. - You Jin Kim; Dae-Heon Park; Hyeon Park; Se-Han Kim (ICTC, 2020)

End-to-End Lip Synchronisation. - You Jin Kim; Hee Soo Heo; Soo-Whan Chung; Bong-Jin Lee (CoRR, 2020)

Look Who's Talking: Active Speaker Detection in the Wild. - You Jin Kim; Hee-Soo Heo; Soyeon Choe; Soo-Whan Chung; Yoohwan Kwon; Bong-Jin Lee; Youngki Kwon; Joon Son Chung (Interspeech, 2021)

Adapting Speaker Embeddings for Speaker Diarisation. - Youngki Kwon; Jee-weon Jung; Hee-Soo Heo; You Jin Kim; Bong-Jin Lee; Joon Son Chung (Interspeech, 2021)

End-To-End Lip Synchronisation Based on Pattern Classification. - You Jin Kim; Hee Soo Heo; Soo-Whan Chung; Bong-Jin Lee (SLT, 2021)

Disentangled dimensionality reduction for noise-robust speaker diarisation. - You Jin Kim; Hee-Soo Heo; Jee-weon Jung; Youngki Kwon; Bong-Jin Lee; Joon Son Chung (CoRR, 2021)

Multi-Scale Speaker Embedding-Based Graph Attention Networks For Speaker Diarisation. - Youngki Kwon; Hee-Soo Heo; Jee-Weon Jung; You Jin Kim; Bong-Jin Lee; Joon Son Chung (ICASSP, 2022)

Pushing the limits of raw waveform speaker recognition. - Jee-weon Jung; You Jin Kim; Hee-Soo Heo; Bong-Jin Lee; Youngki Kwon; Joon Son Chung (INTERSPEECH, 2022)

Digestive Organ Recognition in Video Capsule Endoscopy Based on Temporal Segmentation Network. - Yejee Shin; Taejoon Eo; Hyeongseop Rha; Dong Jun Oh; Geonhui Son; Jiwoong An; You Jin Kim; Dosik Hwang; Yun Jeong Lim (MICCAI (8), 2022)

High-Resolution Embedding Extractor for Speaker Diarisation. - Hee-Soo Heo; Youngki Kwon; Bong-Jin Lee; You Jin Kim; Jee-Weon Jung (ICASSP, 2023)

Advancing the Dimensionality Reduction of Speaker Embeddings for Speaker Diarisation: Disentangling Noise and Informing Speech Activity. - You Jin Kim; Hee-Soo Heo; Jee-Weon Jung; Youngki Kwon; Bong-Jin Lee; Joon Son Chung (ICASSP, 2023)

Absolute Decision Corrupts Absolutely: Conservative Online Speaker Diarisation. - Youngki Kwon; Hee-Soo Heo; Bong-Jin Lee; You Jin Kim; Jee-Weon Jung (ICASSP, 2023)

Unmanned PCR System for Virus Monitoring Utilizing a Film Chip Roll. - Kwang Hyo Chung; Yo Han Choi; Dong Kyu Lee; Chang-Geun Ahn; Youngwon Jang; You Jin Kim (SENSORS, 2023)

Curriculum Learning for Self-supervised Speaker Verification. - Hee-Soo Heo; Jee-weon Jung; Jingu Kang; Youngki Kwon; Bong-Jin Lee; You Jin Kim; Joon Son Chung (INTERSPEECH, 2023)

Encoder-decoder Multimodal Speaker Change Detection. - Jee-weon Jung; Soonshin Seo; Hee-Soo Heo; Geonmin Kim; You Jin Kim; Youngki Kwon; Minjae Lee; Bong-Jin Lee (INTERSPEECH, 2023)

Rethinking Session Variability: Leveraging Session Embeddings for Session Robustness in Speaker Verification. - Hee-Soo Heo; Kihyun Nam; Bong-Jin Lee; Youngki Kwon; Minjae Lee; You Jin Kim; Joon Son Chung (ICASSP, 2024)

TalkNCE: Improving Active Speaker Detection with Talk-Aware Contrastive Learning. - Chaeyoung Jung; Suyeon Lee; Kihyun Nam; Kyeongha Rho; You Jin Kim; Youngjoon Jang 001; Joon Son Chung (ICASSP, 2024)