Sunghwan Kim - RankMe

19 papers Journal 18Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Audio Adversarial Example With No Noise in the Silent Area for Speech Recognition System. IEEE Access Kyoungmin Ko, Sunghwan Kim, Hyun Kwon
2025	J	`jnl`	Dual-Mode Method for Generating Adversarial Examples to Attack Deep Neural Networks. IEEE Access Hyun Kwon, Sunghwan Kim
2025	J	`jnl`	Selective Audio Perturbations for Targeting Specific Phrases in Speech Recognition Systems. Int. J. Comput. Intell. Syst. Kyoungmin Ko, Sunghwan Kim, Hyun Kwon
2024	J	`jnl`	Automated Technology for Strawberry Size Measurement and Weight Prediction Using AI. IEEE Access Haejun Jeong, Haejun Moon, Yongho Jeong, Heejae Kwon, Chanyeong Kim, Yonghak Lee, SeongMin Yang, Sunghwan Kim
2023	J	`jnl`	CloudNet: A LiDAR-Based Face Anti-Spoofing Model That Is Robust Against Light Variation. IEEE Access Yongrae Kim, Hyunmin Gwak, Jaehoon Oh, Minho Kang, Jinkyu Kim, Hyun Kwon, Sunghwan Kim
2023	J	`jnl`	Multi-targeted audio adversarial example for use against speech recognition systems. Comput. Secur. Kyoungmin Ko, Sunghwan Kim, Hyun Kwon
2022	J	`jnl`	Optimized Adversarial Example With Classification Score Pattern Vulnerability Removed. IEEE Access Hyun Kwon, Kyoungmin Ko, Sunghwan Kim
2021	J	`jnl`	Reinforcement Learning Guided by Double Replay Memory. J. Sensors JiSeong Han, Kichun Jo, Wontaek Lim, Yonghak Lee, Kyoungmin Ko, Eunseon Sim, Junsang Cho, Sunghwan Kim
2021	J	`jnl`	SqueezeFace: Integrative Face Recognition Methods with LiDAR Sensors. J. Sensors Kyoungmin Ko, Hyunmin Gwak, Nalinh Thoummala, Hyun Kwon, Sunghwan Kim
2021	J	`jnl`	Weighted Mask R-CNN for Improving Adjacent Boundary Segmentation. J. Sensors SungMin Suh, Yongeun Park, Kyoungmin Ko, SeongMin Yang, Jaehyeong Ahn, Jae-Ki Shin, Sunghwan Kim
2020	J	`jnl`	Estimation of Particulate Levels Using Deep Dehazing Network and Temporal Prior. J. Sensors Sehee Jung, SungMin Yang, Eunseok Lee, Yonghak Lee, Jisun Ko, Sungjae Lee, Junsang Cho, Jaehwa Lee, Sunghwan Kim
2020	J	`jnl`	Penalized log-density estimation using Legendre polynomials. Commun. Stat. Simul. Comput. Jung-Jun Lee, Jae-Hwan Jhong, Young-Rae Cho, Sunghwan Kim, Ja-Yong Koo
2019	J	`jnl`	Integrative Deep Learning for Identifying Differentially Expressed (DE) Biomarkers. Comput. Math. Methods Medicine Jayeon Lim, Soyoun Bang, Jiyeon Kim, Cheolyong Park, Junsang Cho, Sunghwan Kim
2019	—	`conf`	Predictive Models of Fire via Deep learning Exploiting Colorific Variation. ICAIIC JiSeong Han, Gwangsu Kim, Chanseo Lee, YeongKwang Han, Ung Hwang, Sunghwan Kim
2019	J	`jnl`	Vision-Based Deep Q-Learning Network Models to Predict Particulate Matter Concentration Levels Using Temporal Digital Image Data. J. Sensors Sunghwan Kim, Sehee Jung, SeongMin Yang, JiSeong Han, ByungYong Lee, Jaehwa Lee, Sung Won Han
2018	J	`jnl`	Variable Selection and Joint Estimation of Mean and Covariance Models with an Application to eQTL Data. Comput. Math. Methods Medicine Jung-Jun Lee, Sunghwan Kim, Jae-Hwan Jhong, Ja-Yong Koo
2017	J	`jnl`	Erratum to: Meta-analytic support vector machine for integrating multiple omics data. BioData Min. Sunghwan Kim, Jae-Hwan Jhong, Jung-Jun Lee, Ja-Yong Koo
2017	J	`jnl`	Meta-analytic support vector machine for integrating multiple omics data. BioData Min. Sunghwan Kim, Jae-Hwan Jhong, Jung-Jun Lee, Ja-Yong Koo
2017	J	`jnl`	Node-Structured Integrative Gaussian Graphical Model Guided by Pathway Information. Comput. Math. Methods Medicine Sunghwan Kim, Jae-Hwan Jhong, Jung-Jun Lee, Ja-Yong Koo, ByungYong Lee, Sungwon Han