Hoki Kim - RankMe

35 papers A* 5A 1Journal 27Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Statistical Analysis of the Relationship Between Meme Stocks and Social Media. IEEE Access Seungju Lee, Yunyoung Lee, Jaewook Lee, Hoki Kim
2025	J	`jnl`	Black-box adversarial examples via frequency distortion against fault diagnosis systems. Appl. Soft Comput. Sangho Lee, Hoki Kim, Woojin Lee, Youngdoo Son
2025	—	`conf`	CaddieSet: A Golf Swing Dataset with Human Joint Features and Ball Information. CVPR Workshops Seunghyeon Jung, Seoyoung Hong, Jiwoo Jeong, Seungwon Jeong, Jaerim Choi, Hoki Kim, Woojin Lee
2025	J	`jnl`	CaddieSet: A Golf Swing Dataset with Human Joint Features and Ball Information. CoRR Seunghyeon Jung, Seoyoung Hong, Jiwoo Jeong, Seungwon Jeong, Jaerim Choi, Hoki Kim, Woojin Lee
2025	J	`jnl`	Homomorphic encryption-based fault diagnosis in IoT-enabled industrial systems. Int. J. Inf. Sec. Hoki Kim, Youngdoo Son, Junyoung Byun
2025	J	`jnl`	Towards undetectable adversarial attack on time series classification. Inf. Sci. Hoki Kim, Yunyoung Lee, Woojin Lee, Jaewook Lee
2024	A*	`conf`	Are Self-Attentions Effective for Time Series Forecasting? NeurIPS Dongbin Kim, Jinseong Park, Jaewook Lee, Hoki Kim
2024	J	`jnl`	Are Self-Attentions Effective for Time Series Forecasting? CoRR Dongbin Kim, Jinseong Park, Jaewook Lee, Hoki Kim
2024	J	`jnl`	BayesNAM: Leveraging Inconsistency for Reliable Explanations. CoRR Hoki Kim, Jinseong Park, Yujin Choi, Seungyun Lee, Jaewook Lee
2024	J	`jnl`	Evaluating practical adversarial robustness of fault diagnosis systems via spectrogram-aware ensemble method. Eng. Appl. Artif. Intell. Hoki Kim, Sangho Lee, Jaewook Lee, Woojin Lee, Youngdoo Son
2024	A*	`conf`	Fair Sampling in Diffusion Models through Switching Mechanism. AAAI Yujin Choi, Jinseong Park, Hoki Kim, Jaewook Lee, Saerom Park
2024	J	`jnl`	Fair Sampling in Diffusion Models through Switching Mechanism. CoRR Yujin Choi, Jinseong Park, Hoki Kim, Jaewook Lee, Saeroom Park
2024	J	`jnl`	Sliced Wasserstein adversarial training for improving adversarial robustness. J. Ambient Intell. Humaniz. Comput. Woojin Lee, Sungyoon Lee, Hoki Kim, Jaewook Lee
2023	J	`jnl`	Bridged adversarial training. Neural Networks Hoki Kim, Woojin Lee, Sungyoon Lee, Jaewook Lee
2023	A*	`conf`	Differentially Private Sharpness-Aware Training. ICML Jinseong Park, Hoki Kim, Yujin Choi, Jaewook Lee
2023	J	`jnl`	Differentially Private Sharpness-Aware Training. CoRR Jinseong Park, Hoki Kim, Yujin Choi, Jaewook Lee
2023	J	`jnl`	Exploring Diverse Feature Extractions for Adversarial Audio Detection. IEEE Access Yujin Choi, Jinseong Park, Jaewook Lee, Hoki Kim
2023	J	`jnl`	Exploring the Effect of Multi-step Ascent in Sharpness-Aware Minimization. CoRR Hoki Kim, Jinseong Park, Yujin Choi, Woojin Lee, Jaewook Lee
2023	A*	`conf`	Fantastic Robustness Measures: The Secrets of Robust Generalization. NeurIPS Hoki Kim, Jinseong Park, Yujin Choi, Jaewook Lee
2023	J	`jnl`	Fast sharpness-aware training for periodic time series classification and forecasting. Appl. Soft Comput. Jinseong Park, Hoki Kim, Yujin Choi, Woojin Lee, Jaewook Lee
2023	J	`jnl`	Generating Transferable Adversarial Examples for Speech Classification. Pattern Recognit. Hoki Kim, Jinseong Park, Jaewook Lee
2023	J	`jnl`	GradDiv: Adversarial Robustness of Randomized Neural Networks via Gradient Diversity Regularization. IEEE Trans. Pattern Anal. Mach. Intell. Sungyoon Lee, Hoki Kim, Jaewook Lee
2023	J	`jnl`	Stability Analysis of Sharpness-Aware Minimization. CoRR Hoki Kim, Jinseong Park, Yujin Choi, Jaewook Lee
2022	J	`jnl`	Comment on Transferability and Input Transformation with Additive Noise. CoRR Hoki Kim, Jinseong Park, Jaewook Lee
2022	J	`jnl`	Variational cycle-consistent imputation adversarial networks for general missing patterns. Pattern Recognit. Woojin Lee, Sungyoon Lee, Junyoung Byun, Hoki Kim, Jaewook Lee
2021	J	`jnl`	Bridged Adversarial Training. CoRR Hoki Kim, Woojin Lee, Sungyoon Lee, Jaewook Lee
2021	J	`jnl`	Compact class-conditional domain invariant learning for multi-class domain adaptation. Pattern Recognit. Woojin Lee, Hoki Kim, Jaewook Lee
2021	J	`jnl`	GradDiv: Adversarial Robustness of Randomized Neural Networks via Gradient Diversity Regularization. CoRR Sungyoon Lee, Hoki Kim, Jaewook Lee
2021	A*	`conf`	Understanding Catastrophic Overfitting in Single-step Adversarial Training. AAAI Hoki Kim, Woojin Lee, Jaewook Lee
2020	J	`jnl`	Torchattacks : A Pytorch Repository for Adversarial Attacks. CoRR Hoki Kim
2020	J	`jnl`	Understanding Catastrophic Overfitting in Single-step Adversarial Training. CoRR Hoki Kim, Woojin Lee, Jaewook Lee
2008	J	`jnl`	A 500 MHz Random Cycle, 1.5 ns Latency, SOI Embedded DRAM Macro Featuring a Three-Transistor Micro Sense Amplifier. IEEE J. Solid State Circuits John Barth, William R. Reohr, Paul C. Parries, Gregory Fredeman, John Golz, Stanley Schuster, Richard E. Matick, Hillery C. Hunter, Charles Tanner, Joseph Harig, Hoki Kim, Babar A. Khan, John Griesemer, Robert Havreluk, Kenji Yanagisawa, Toshiaki Kirihata, Subramanian S. Iyer
2007	—	`conf`	A 500MHz Random Cycle 1.5ns-Latency, SOI Embedded DRAM Macro Featuring a 3T Micro Sense Amplifier. ISSCC John Barth, William R. Reohr, Paul C. Parries, Gregory Fredeman, John Golz, Stanley Schuster, Richard E. Matick, Hillery C. Hunter, Charles Tanner, Joseph Harig, Hoki Kim, Babar A. Khan, John Griesemer, Robert Havreluk, Kenji Yanagisawa, Toshiaki Kirihata, Subramanian S. Iyer
2005	J	`jnl`	An 800-MHz embedded DRAM with a concurrent refresh mode. IEEE J. Solid State Circuits Toshiaki Kirihata, Paul C. Parries, David R. Hanson, Hoki Kim, John Golz, Gregory Fredeman, Raj Rajeevakumar, John Griesemer, Norman Robson, Alberto Cestero, Babar A. Khan, Geng Wang, Matt Wordeman, Subramanian S. Iyer
2001	A	`conf`	A practical built-in current sensor for I_DDQ testing. ITC Hoki Kim, D. M. H. Walker, David Colby