Joonhyun Jeong

22 papers A* 5A 1Journal 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Co-Evolving Agents: Learning from Failures as Hard Negatives. CoRR Yeonsung Jung, Trilok Padhi, Sina Shaham, Dipika Khullar, Joonhyun Jeong, Ninareh Mehrabi, Eunho Yang
2025	A*	`conf`	Playing the Fool: Jailbreaking LLMs and Multimodal LLMs with Out-of-Distribution Strategy. CVPR Joonhyun Jeong, Seyun Bae, Yeonsung Jung, Jaeryong Hwang, Eunho Yang
2025	J	`jnl`	Playing the Fool: Jailbreaking LLMs and Multimodal LLMs with Out-of-Distribution Strategy. CoRR Joonhyun Jeong, Seyun Bae, Yeonsung Jung, Jaeryong Hwang, Eunho Yang
2025	J	`jnl`	ReviewScore: Misinformed Peer Review Detection with Large Language Models. CoRR Hyun Ryu, Doohyuk Jang, Hyemin S. Lee, Joonhyun Jeong, Gyeongman Kim, Donghyeon Cho, Gyouk Chu, Minyeong Hwang, Hyeongwon Jang, Changhun Kim, Haechan Kim, Jina Kim, Joowon Kim, Yoonjeon Kim, Kwanhyung Lee, Chanjae Park, Heecheol Yun, Gregor Betz, Eunho Yang
2025	J	`jnl`	Towards Reliable Test-Time Adaptation: Style Invariance as a Correctness Likelihood. CoRR Gilhyun Nam, Taewon Kim, Joonhyun Jeong, Eunho Yang
2024	A	`conf`	EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection. WACV Joonhyun Jeong, Beomyoung Kim, Joonsang Yu, Youngjoon Yoo
2024	A*	`conf`	ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection. AAAI Joonhyun Jeong, Geondo Park, Jayeon Yoo, Hyungsik Jung, Heesu Kim
2024	J	`jnl`	ZIM: Zero-Shot Image Matting for Anything. CoRR Beomyoung Kim, Chanyong Shin, Joonhyun Jeong, Hyungsik Jung, Se-Yun Lee, Sewhan Chun, Dong-Hyun Hwang, Joonsang Yu
2023	A*	`conf`	GeNAS: Neural Architecture Search with Better Generalization. IJCAI Joonhyun Jeong, Joonsang Yu, Geondo Park, Dongyoon Han, Youngjoon Yoo
2023	J	`jnl`	GeNAS: Neural Architecture Search with Better Generalization. CoRR Joonhyun Jeong, Joonsang Yu, Geondo Park, Dongyoon Han, Youngjoon Yoo
2023	J	`jnl`	Hijacking Context in Large Multi-modal Models. CoRR Joonhyun Jeong
2023	J	`jnl`	Observations on K-Image Expansion of Image-Mixing Augmentation. IEEE Access Joonhyun Jeong, Sungmin Cha, Jongwon Choi, Sangdoo Yun, Taesup Moon, Youngjoon Yoo
2023	J	`jnl`	ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection. CoRR Joonhyun Jeong, Geondo Park, Jayeon Yoo, Hyungsik Jung, Heesu Kim
2023	A*	`conf`	The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation. CVPR Beomyoung Kim, Joonhyun Jeong, Dongyoon Han, Sung Ju Hwang
2023	J	`jnl`	The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation. CoRR Beomyoung Kim, Joonhyun Jeong, Dongyoon Han, Sung Ju Hwang
2022	J	`jnl`	A New Pointwise Convolution in Deep Neural Networks Through Extremely Fast and Non Parametric Transforms. IEEE Access Joonhyun Jeong, Incheon Cho, Eunseop Shin, Sung-Ho Bae
2022	A*	`conf`	Dataset Condensation via Efficient Synthetic-Data Parameterization. ICML Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song
2022	J	`jnl`	Dataset Condensation via Efficient Synthetic-Data Parameterization. CoRR Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song
2022	J	`jnl`	Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection. CoRR Joonhyun Jeong, Beomyoung Kim, Joonsang Yu, Youngjoon Yoo
2021	J	`jnl`	Observations on K-image Expansion of Image-Mixing Augmentation for Classification. CoRR Joonhyun Jeong, Sungmin Cha, Youngjoon Yoo, Sangdoo Yun, Taesup Moon, Jongwon Choi
2019	J	`jnl`	An Inter-Layer Weight Prediction and Quantization for Deep Neural Networks based on a Smoothly Varying Weight Hypothesis. CoRR Kang-Ho Lee, Joonhyun Jeong, Sung-Ho Bae
2019	J	`jnl`	New pointwise convolution in Deep Neural Networks through Extremely Fast and Non Parametric Transforms. CoRR Joonhyun Jeong, Sung-Ho Bae