Jingyu Lee - RankMe

19 papers A* 2A 3Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Explorable Ideas: Externalizing Ideas as Explorable Environments. CoRR Euijun Jung, Jingyu Lee, Minji Kim, Youngki Lee
2025	J	`jnl`	hERGBoost: A gradient boosting model for quantitative IC50 prediction of hERG channel blockers. Comput. Biol. Medicine Myeong-Sang Yu, Jingyu Lee, Yunhyeok Lee, Daeahn Cho, Kwang-Seok Oh, Jidon Jang, Nuong Thi Nong, Hyang-Mi Lee, Dokyun Na
2024	J	`jnl`	A computational clinical decision-supporting system to suggest effective anti-epileptic drugs for pediatric epilepsy patients based on deep learning models using patient's medical history. BMC Medical Informatics Decis. Mak. Daeahn Cho, Myeong-Sang Yu, Jeongyoon Shin, Jingyu Lee, Yubin Kim, Hoon-Chul Kang, Se Hee Kim, Dokyun Na
2024	A*	`conf`	Logan: Loss-tolerant Live Video Analytics System. MobiCom Kichang Yang, Minkyung Jeong, Juheon Yi, Jingyu Lee, KyoungSoo Park, Youngki Lee
2024	A	`conf`	Maestro: The Analysis-Simulation Integrated Framework for Mixed Reality. MobiSys Jingyu Lee, Hyunsoo Kim, Minjae Kim, Byung-Gon Chun, Youngki Lee
2024	A	`conf`	Poster: Maestro: The Analysis-Simulation Integrated Framework for Mixed Reality. MobiSys Jingyu Lee, Hyunsoo Kim, Minjae Kim, Byung-Gon Chun, Youngki Lee
2024	A*	`conf`	XRMan: Towards Real-time Hand-Object Pose Tracking in eXtended Reality. MobiCom Dongho Han, Jingyu Lee, Minjae Kim, Youngki Lee
2023	J	`jnl`	A machine learning-based quantitative model (LogBB_Pred) to predict the blood-brain barrier permeability (logBB value) of drug compounds. Bioinform. Bilal Shaker, Jingyu Lee, Yunhyeok Lee, Myeong-Sang Yu, Hyang-Mi Lee, Eunee Lee, Hoon-Chul Kang, Kwang-Seok Oh, Hyung Wook Kim, Dokyun Na
2022	A	`conf`	Band: coordinated multi-DNN inference on heterogeneous mobile processors. MobiSys Joo Seong Jeong, Jingyu Lee, Donghyun Kim, Changmin Jeon, Changjin Jeong, Youngki Lee, Byung-Gon Chun
2021	J	`jnl`	Liver segmentation in abdominal CT images via auto-context neural network and self-supervised contour attention. Artif. Intell. Medicine Minyoung Chung, Jingyu Lee, Sanguk Park, Chae-Eun Lee, Jeongjin Lee, Yeong-Gil Shin
2021	—	`conf`	ParallelFusion: Towards Maximum Utilization of Mobile GPU for DNN Inference. EMDL@MobiSys Jingyu Lee, Yunxin Liu, Youngki Lee
2020	J	`jnl`	2-D chemical structure image-based in silico model to predict agonist activity for androgen receptor. BMC Bioinform. Myeong-Sang Yu, Jingyu Lee, Yongmin Lee, Dokyun Na
2020	J	`jnl`	Automatic Registration Between Dental Cone-Beam CT and Scanned Surface via Deep Pose Regression Neural Networks and Clustered Similarities. IEEE Trans. Medical Imaging Minyoung Chung, Jingyu Lee, Wisoo Song, Youngchan Song, Il-Hyung Yang, Jeongjin Lee, Yeong-Gil Shin
2020	J	`jnl`	Deeply self-supervised contour embedded neural network applied to liver segmentation. Comput. Methods Programs Biomed. Minyoung Chung, Jingyu Lee, Minkyung Lee, Jeongjin Lee, Yeong-Gil Shin
2020	J	`jnl`	Liver Segmentation in Abdominal CT Images via Auto-Context Neural Network and Self-Supervised Contour Attention. CoRR Minyoung Chung, Jingyu Lee, Jeongjin Lee, Yeong-Gil Shin
2020	J	`jnl`	Pose-Aware Instance Segmentation Framework from Cone Beam CT Images for Tooth Segmentation. CoRR Minyoung Chung, Minkyung Lee, Jioh Hong, Sanguk Park, Jusang Lee, Jingyu Lee, Jeongjin Lee, Yeong-Gil Shin
2020	J	`jnl`	Pose-aware instance segmentation framework from cone beam CT images for tooth segmentation. Comput. Biol. Medicine Minyoung Chung, Minkyung Lee, Jioh Hong, Sanguk Park, Jusang Lee, Jingyu Lee, Il-Hyung Yang, Jeongjin Lee, Yeong-Gil Shin
2019	J	`jnl`	Automatic Registration between Cone-Beam CT and Scanned Surface via Deep-Pose Regression Neural Networks and Clustered Similarities. CoRR Minyoung Chung, Jingyu Lee, Wisoo Song, Youngchan Song, Il-Hyung Yang, Jeongjin Lee, Yeong-Gil Shin
2018	J	`jnl`	Deeply Self-Supervising Edge-to-Contour Neural Network Applied to Liver Segmentation. CoRR Minyoung Chung, Jingyu Lee, Minkyung Lee, Jeongjin Lee, Yeong-Gil Shin