Sunghee Jung - RankMe

17 papers A 1Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Deep reinforcement learning for efficient registration between intraoral-scan meshes and CT images. Pattern Recognit. Seungpil Choi, Seoyeon Jang, Sunghee Jung, Heon Jae Cho, Byunghwan Jeon
2025	J	`jnl`	DiaTool-DPO: Multi-Turn Direct Preference Optimization for Tool-Augmented Large Language Models. CoRR Sunghee Jung, Donghun Lee, Shinbok Lee, Gaeun Seo, Daniel Lee, Byeongil Ko, Junrae Cho, Kihyun Kim, EungGyun Kim, Myeongcheol Shin
2025	J	`jnl`	Kanana: Compute-efficient Bilingual Language Models. CoRR Yunju Bak, Hojin Lee, Minho Ryu, Jiyeon Ham, Seungjae Jung, Daniel Wontae Nam, Taegyeong Eo, Donghun Lee, Doohae Jung, Boseop Kim, Nayeon Kim, Jaesun Park, Hyunho Kim, Hyunwoong Ko, Changmin Lee, Kyoung-Woon On, Seulye Baeg, Junrae Cho, Sunghee Jung, Jieun Kang, EungGyun Kim, Eunhwa Kim, Byeongil Ko, Daniel Lee, Minchul Lee, Miok Lee, Shinbok Lee, Gaeun Seo
2024	—	`conf`	Deep Reinforcement Learning with Multiple Centerline-Guidance for Localization of Left Atrial Appendage Orifice from CT Images. MLMI@MICCAI (1) Jongum Yoon, Sunghee Jung, Byunghwan Jeon
2024	J	`jnl`	FunctionChat-Bench: Comprehensive Evaluation of Language Models' Generative Capabilities in Korean Tool-use Dialogs. CoRR Shinbok Lee, Gaeun Seo, Daniel Lee, Byeongil Ko, Sunghee Jung, Myeongcheol Shin
2024	J	`jnl`	Intelli-Z: Toward Intelligible Zero-Shot TTS. CoRR Sunghee Jung, Won Jang, Jaesam Yoon, Bongwan Kim
2023	J	`jnl`	Reconstruction of Partially Broken Vascular Structures in X-Ray Images via Vesselness-Loss-Based Multi-Scale Generative Adversarial Networks. IEEE Access Kyunghoon Han, Heejoon Koo, Sunghee Jung, Hyung-Bok Park, Youngtaek Hong, Hackjoon Shim, Byunghwan Jeon, Hyuk-Jae Chang
2022	A	`conf`	JETS: Jointly Training FastSpeech2 and HiFi-GAN for End to End Text to Speech. INTERSPEECH Dan Lim, Sunghee Jung, Eesung Kim
2022	J	`jnl`	JETS: Jointly Training FastSpeech2 and HiFi-GAN for End to End Text to Speech. CoRR Dan Lim, Sunghee Jung, Eesung Kim
2022	J	`jnl`	Reconnection of fragmented parts of coronary arteries using local geometric features in X-ray angiography images. Comput. Biol. Medicine Kyunghoon Han, Jaeik Jeon, Yeonggul Jang, Sunghee Jung, Sekeun Kim, Hackjoon Shim, Byunghwan Jeon, Hyuk-Jae Chang
2021	J	`jnl`	Bayesian Estimation of Geometric Morphometric Landmarks for Simultaneous Localization of Multiple Anatomies in Cardiac CT Images. Entropy Byunghwan Jeon, Sunghee Jung, Hackjoon Shim, Hyuk-Jae Chang
2020	J	`jnl`	Deep Learning Cross-Phase Style Transfer for Motion Artifact Correction in Coronary Computed Tomography Angiography. IEEE Access Sunghee Jung, Soochahn Lee, Byunghwan Jeon, Yeonggul Jang, Hyuk-Jae Chang
2020	J	`jnl`	Neural voice cloning with a few low-quality samples. CoRR Sunghee Jung, Hoirin Kim
2020	J	`jnl`	Pitchtron: Towards audiobook generation from ordinary people's voices. CoRR Sunghee Jung, Hoirin Kim
2018	—	`conf`	Deep Learning Based Coronary Artery Motion Artifact Compensation Using Style-Transfer Synthesis in CT Images. SASHIMI@MICCAI Sunghee Jung, Soochahn Lee, Byunghwan Jeon, Yeonggul Jang, Hyuk-Jae Chang
2017	—	`conf`	Coronary luminal and wall mask prediction using convolutional neural network. ISBI Youngtaek Hong, Yoonmi Hong, Yeonggul Jang, Sekeun Kim, Byunghwan Jeon, Sunghee Jung, Seongmin Ha, Dongjin Han, Hackjoon Shim, Hyuk-Jae Chang
2017	J	`jnl`	Maximum a posteriori estimation method for aorta localization and coronary seed identification. Pattern Recognit. Byunghwan Jeon, Yoonmi Hong, Dongjin Han, Yeonggul Jang, Sunghee Jung, Youngtaek Hong, Seongmin Ha, Hackjoon Shim, Hyuk-Jae Chang