Bandwidth Extension of a Narrowband Speech Coder for Music Delivery over IP. - Young Han Lee; Hong Kook Kim; Mi Suk Lee; Do-Young Kim (ICHIT, 2006)

Bandwidth Extension of a Narrowband Speech Coder for Music Streaming Services Over IP Networks. - Young Han Lee; Hong Kook Kim (SiPS, 2007)

Class-dependent and differential Huffman coding of compressed feature parameters for distributed speech recognition. - Young Han Lee; Deok Su Kim; Hong Kook Kim (ICASSP, 2009)

A media-specific FEC based on huffman coding for distributed speech recognition. - Young Han Lee; Hong Kook Kim (INTERSPEECH, 2009)

Bandwidth-Scalable Stereo Audio Coding Based on a Layered Structure. - Young Han Lee; Deok Su Kim; Hong Kook Kim; Jongmo Sung; Mi Suk Lee; Hyun Joo Bae (IEICE Trans. Inf. Syst., 2009)

A Real-Time Audio Upmixing Method from Stereo to 7.1-Channel Audio. - Chan Jun Chun; Young Han Lee; Yong Guk Kim; Hong Kook Kim; Choong Sang Cho (FGIT-FGCN (2), 2010)

Complexity Reduction of WSOLA-Based Time-Scale Modification Using Signal Period Estimation. - Duk Su Kim; Young Han Lee; Hong Kook Kim; Song-Ha Choi; Ji Woon Kim; Myeong Bo Kim (FGIT-FGCN (2), 2010)

Entropy coding of compressed feature parameters for distributed speech recognition. - Young Han Lee; Hong Kook Kim (Speech Commun., 2010)

Artificial Bandwidth Extension of Narrowband Speech Signals for the Improvement of Perceptual Speech Communication Quality. - Nam In Park; Young Han Lee; Hong Kook Kim (FGIT-FGCN (2), 2011)

High-Quality and Low-Complexity Real-Time Voice Changing with Seamless Switching for Digital Imaging Devices. - Sungdong Jo; Young Han Lee; Ji Hun Park; Hong Kook Kim; Ji Woon Kim; Myeong Bo Kim (UCMA (2), 2011)

Quantitative Computed Tomography (QCT) as a Radiology Reporting Tool by Using Optical Character Recognition (OCR) and Macro Program. - Young Han Lee; Ho-Taek Song; Jin-Suck Suh (J. Digit. Imaging, 2012)

Superwideband Bandwidth Extension Using Normalized MDCT Coefficients for Scalable Speech and Audio Coding. - Young Han Lee; Seung Ho Choi (Adv. Multim., 2013)

Probabilistic Approach for Determining the Material Properties of Meniscal Attachments In Vivo Using Magnetic Resonance Imaging and a Finite Element Model. - Kyoung-Tak Kang; Sung-Hwan Kim; Ju-Hyun Son; Young Han Lee; Heoung-Jae Chun (J. Comput. Biol., 2015)

Detection and Correction of Laterality Errors in Radiology Reports. - Young Han Lee; Jaemoon Yang; Jin-Suck Suh (J. Digit. Imaging, 2015)

Prostate detection and segmentation based on convolutional neural network and topological derivative. - Choong Sang Cho; Young Han Lee; Sangkeun Lee 001 (ICIP, 2017)

Distinctive-Attribute Extraction for Image Captioning. - Boeun Kim; Young Han Lee; Hyedong Jung; Choong Sang Cho (ECCV Workshops (4), 2018)

Phoneme segmentation using deep learning for speech synthesis. - Young Han Lee; Jong-Yeol Yang; Choong Sang Cho; Hyedong Jung (RACS, 2018)

Learning Radiologist's Step-by-Step Skill for Cervical Spinal Injury Examination: Line Drawing, Prevertebral Soft Tissue Thickness Measurement, and Swelling Detection. - Young Han Lee; Sewon Kim; Jin-Suck Suh; Dosik Hwang (IEEE Access, 2018)

Efficiency Improvement in a Busy Radiology Practice: Determination of Musculoskeletal Magnetic Resonance Imaging Protocol Using Deep-Learning Convolutional Neural Networks. - Young Han Lee (J. Digit. Imaging, 2018)

Patient-Specific Phantomless Estimation of Bone Mineral Density and Its Effects on Finite Element Analysis Results: A Feasibility Study. - Young Han Lee; Jung Jin Kim; In Gwun Jang (Comput. Math. Methods Medicine, 2019)

CoFirNet: Conditional Feature Vector-based Fashion Image Retrieval Network. - Min-Soo Ko; Young Han Lee; Choong Sang Cho; Hyok Song (ICTC, 2021)

Non-Parallel Voice Conversion Using Cycle-Consistent Adversarial Networks with Self-Supervised Representations. - Chanjun Chun; Young Han Lee; Geon Woo Lee; Moongu Jeon; Hong Kook Kim (CCNC, 2023)

Perturbation AUTOVC: Voice Conversion From Perturbation and Autoencoder Loss. - Hwa-Young Park; Young Han Lee; Chanjun Chun (IEEE Access, 2023)

Detection of Pacemaker and Identification of MRI-conditional Pacemaker Based on Deep-learning Convolutional Neural Networks to Improve Patient Safety. - Yoonah Do; Soo Ho Ahn; Sungjun Kim; Jin Kyem Kim; Byoung Wook Choi; Hwiyoung Kim; Young Han Lee (J. Medical Syst., 2023)

Period Singer: Integrating Periodic and Aperiodic Variational Autoencoders for Natural-Sounding End-to-End Singing Voice Synthesis. - Taewoo Kim; Choongsang Cho; Young Han Lee (INTERSPEECH, 2024)

Masked Duration Model for Utterance Duration-Controllable Text-to-Speech. - Taewoo Kim; Choongsang Cho; Young Han Lee (IEEE Access, 2024)

Contrastive Speaker Representation Learning with Hard Negative Sampling for Speaker Recognition. - Changhwan Go; Young Han Lee; Taewoo Kim; Nam In Park; Chanjun Chun (Sensors, 2024)

Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection. - Taewoo Kim; Guisik Kim; Choongsang Cho; Young Han Lee (CoRR, 2025)

Instance-Specific Test-Time Training for Speech Editing in the Wild. - Taewoo Kim; Uijong Lee; Hayoung Park; Choongsang Cho; Nam In Park; Young Han Lee (CoRR, 2025)