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Author

Joonhyun Jeong

Observed names: Jeong, JoonHyun, Jeong, Joonhyun
ORCID: 0000-0002-0028-8660
Observed ORCID: 0000-0002-0028-8660
OpenAlex ID: A5057640516
Dataset Condensation via Efficient Synthetic-Data Parameterization
2022 · Kim, Jang-Hyun, Kim, Jinuk, et al. · arXiv (Cornell University) · 67
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The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation
2023 · Beomyoung Kim, Joonhyun Jeong, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 28
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Playing the Fool: Jailbreaking LLMs and Multimodal LLMs with Out-of-Distribution Strategy
2025 · Joonhyun Jeong, Seyun Bae, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 12
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ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection
2024 · Joonhyun Jeong, Geondo Park, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 10
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EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection
2024 · Joonhyun Jeong, Beomyoung Kim, et al. · IEEE Winter Conference on Applications of Computer Vision · 10
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HyperCLOVA X Technical Report
2024 · Yoo, Kang Min, Han, Jaegeun, et al. · arXiv (Cornell University) · 8
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GeNAS: Neural Architecture Search with Better Generalization
2023 · Joonhyun Jeong, Joonsang Yu, et al. · International Joint Conference on Artificial Intelligence · 5
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ZIM: Zero-Shot Image Matting for Anything
2025 · Beomyoung Kim, Chanyong Shin, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 2
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Observations on K-Image Expansion of Image-Mixing Augmentation
2023 · Joonhyun Jeong, Sungmin Cha, et al. · IEEE Access · 2
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A New Pointwise Convolution in Deep Neural Networks Through Extremely Fast and Non Parametric Transforms
2022 · Joonhyun Jeong, Incheon Cho, et al. · IEEE Access · 2
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Hijacking Context in Large Multi-modal Models
2023 · Jeong, Joonhyun · arXiv (Cornell University) · 1
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An Inter-Layer Weight Prediction and Quantization for Deep Neural Networks based on a Smoothly Varying Weight Hypothesis
2019 · Lee, Kang-Ho, Jeong, JoonHyun, et al. · arXiv (Cornell University) · 1
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Looks the Same, Answers Differently: Flip-Direction Steering for Robust Vision-Language Reasoning
2026 · Jung, Yeonsung, Jeong, Joonhyun, et al. · arXiv (Cornell University)
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Towards Reliable Test-Time Adaptation: Style Invariance as a Correctness Likelihood
2026 · Gilhyun Nam, Taewon Kim, et al. · IEEE Winter Conference on Applications of Computer Vision
Co-Evolving Agents: Learning from Failures as Hard Negatives
2025 · Jung, Yeonsung, Padhi, Trilok, et al. · arXiv (Cornell University)
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Observations on K-image Expansion of Image-Mixing Augmentation for Classification
2021 · Jeong, Joonhyun, Cha, Sungmin, et al. · arXiv (Cornell University)
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A New Light-Weight and Efficient Convolutional Neural Network Using Fast Discrete Cosine Transform
2020 · Joonhyun Jeong, Sung-Ho Bae · Journal of KIISE
New pointwise convolution in Deep Neural Networks through Extremely Fast and Non Parametric Transforms
2019 · Jeong, Joonhyun, Bae, Sung-Ho · arXiv (Cornell University)
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Works count: 20
Citation count: 148
H-index: 6
I10-index: 5
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