Sangheum Hwang

52 papers A* 5Journal 42Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Exploring the effectiveness of data-centric AI approaches to developing a prescription recognition system. Int. J. Document Anal. Recognit. Jihyo Kim, Daejeong Mun, Jaemoon Hwang, Sangheum Hwang
2026	J	`jnl`	Localized Concept Erasure in Text-to-Image Diffusion Models via High-Level Representation Misdirection. CoRR Uichan Lee, Jeonghyeon Kim, Sangheum Hwang
2026	J	`jnl`	Selective Training for Large Vision Language Models via Visual Information Gain. CoRR Seulbi Lee, Sangheum Hwang
2025	A*	`conf`	APT: Adaptive Personalized Training for Diffusion Models with Limited Data. CVPR Jungwoo Chae, Jiyoon Kim, Jaewoong Choi, Kyungyul Kim, Sangheum Hwang
2025	J	`jnl`	APT: Adaptive Personalized Training for Diffusion Models with Limited Data. CoRR Jungwoo Chae, Jiyoon Kim, Jaewoong Choi, Kyungyul Kim, Sangheum Hwang
2025	A*	`conf`	Enhanced OoD Detection through Cross-Modal Alignment of Multi-Modal Representations. CVPR Jeonghyeon Kim, Sangheum Hwang
2025	J	`jnl`	Enhanced OoD Detection through Cross-Modal Alignment of Multi-Modal Representations. CoRR Jeonghyeon Kim, Sangheum Hwang
2025	J	`jnl`	Metadata Enriched Multi-Instance Contrastive Learning for High-Quality Facial Skin Visual Representations. Appl. Artif. Intell. Jihyo Kim, Sungchul Kim, Seungwon Seo, Bumsoo Kim, Daejeong Mun, HoonJae Lee, Sangheum Hwang
2025	J	`jnl`	Parallel Rescaling: Rebalancing Consistency Guidance for Personalized Diffusion Models. CoRR Jungwoo Chae, Jiyoon Kim, Sangheum Hwang
2025	J	`jnl`	Reference-Specific Unlearning Metrics Can Hide the Truth: A Reality Check. CoRR Sungjun Cho, Dasol Hwang, Frederic Sala, Sangheum Hwang, Kyunghyun Cho, Sungmin Cha
2025	A*	`conf`	Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation. ICLR Jihyo Kim, Seulbi Lee, Sangheum Hwang
2024	—	`conf`	Comparison of Out-of-Distribution Detection Performance of CLIP-based Fine-Tuning Methods. ICEIC Jeonghyeon Kim, Jihyo Kim, Sangheum Hwang
2024	J	`jnl`	Context-aware cross feature attentive network for click-through rate predictions. Appl. Intell. Soojin Lee, Sangheum Hwang
2024	J	`jnl`	GTA: Guided Transfer of Spatial Attention from Object-Centric Representations. CoRR SeokHyun Seo, Jinwoo Hong, Jungwoo Chae, Kyungyul Kim, Sangheum Hwang
2024	J	`jnl`	Generalized Outlier Exposure: Towards a trustworthy out-of-distribution detector without sacrificing accuracy. Neurocomputing Jiin Koo, Sungjoon Choi, Sangheum Hwang
2024	J	`jnl`	Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation. CoRR Seulbi Lee, Jihyo Kim, Sangheum Hwang
2024	J	`jnl`	Self-Supervised Representation Learning for Basecalling Nanopore Sequencing Data. IEEE Access Carlos Vintimilla, Sangheum Hwang
2024	J	`jnl`	StochCA: A Novel Approach for Exploiting Pretrained Models with Cross-Attention. CoRR Seungwon Seo, Suho Lee, Sangheum Hwang
2024	J	`jnl`	StochCA: A novel approach for exploiting pretrained models with cross-attention. Neural Networks Seungwon Seo, Suho Lee, Sangheum Hwang
2023	J	`jnl`	A unified benchmark for the unknown detection capability of deep neural networks. Expert Syst. Appl. Jihyo Kim, Jiin Koo, Sangheum Hwang
2023	J	`jnl`	Deep Active Learning with Contrastive Learning Under Realistic Data Pool Assumptions. CoRR Jihyo Kim, Jeonghyeon Kim, Sangheum Hwang
2023	J	`jnl`	Elucidating robust learning with uncertainty-aware corruption pattern estimation. Pattern Recognit. Jeongeun Park, Seungyoun Shin, Sangheum Hwang, Sungjoon Choi
2023	J	`jnl`	Few-shot Fine-tuning is All You Need for Source-free Domain Adaptation. CoRR Suho Lee, Seungwon Seo, Jihyo Kim, Yejin Lee, Sangheum Hwang
2023	J	`jnl`	Rethinking Evaluation Protocols of Visual Representations Learned via Self-supervised Learning. CoRR Jae-Hun Lee, Doyoung Yoon, Byeongmoon Ji, Kyungyul Kim, Sangheum Hwang
2022	J	`jnl`	A new smart smudge attack using CNN. Int. J. Inf. Sec. Hansub Shin, Sungyong Sim, Hyukyoon Kwon, Sangheum Hwang, Younho Lee
2021	J	`jnl`	A Unified Benchmark for the Unknown Detection Capability of Deep Neural Networks. CoRR Jihyo Kim, Jiin Koo, Sangheum Hwang
2021	J	`jnl`	A Unified Defect Pattern Analysis of Wafer Maps Using Density-Based Clustering. IEEE Access Jaehoon Koo, Sangheum Hwang
2021	J	`jnl`	Elucidating Noisy Data via Uncertainty-Aware Robust Learning. CoRR Jeongeun Park, Seungyoun Shin, Sangheum Hwang, Sungjoon Choi
2021	J	`jnl`	Exploiting Global Structure Information to Improve Medical Image Segmentation. Sensors Jaemoon Hwang, Sangheum Hwang
2021	A*	`conf`	Self-Knowledge Distillation with Progressive Refinement of Targets. ICCV Kyungyul Kim, Byeongmoon Ji, Doyoung Yoon, Sangheum Hwang
2021	J	`jnl`	Similarity based Deep Neural Networks. Int. J. Fuzzy Log. Intell. Syst. Seungyeon Lee, Eunji Jo, Sangheum Hwang, Gyeong Bok Jung, Dohyun Kim
2021	J	`jnl`	Supervised Contrastive Embedding for Medical Image Segmentation. IEEE Access Sangwoo Lee, Yejin Lee, Geongyu Lee, Sangheum Hwang
2020	J	`jnl`	A New Splitting Criterion for Better Interpretable Trees. IEEE Access Sangheum Hwang, Hyeon Gyu Yeo, Jung-Sik Hong
2020	J	`jnl`	Additive Ensemble Neural Networks. IEEE Access Minyoung Park, Seungyeon Lee, Sangheum Hwang, Dohyun Kim
2020	A*	`conf`	Confidence-Aware Learning for Deep Neural Networks. ICML Jooyoung Moon, Jihyo Kim, Younghak Shin, Sangheum Hwang
2020	J	`jnl`	Confidence-Aware Learning for Deep Neural Networks. CoRR Jooyoung Moon, Jihyo Kim, Younghak Shin, Sangheum Hwang
2020	J	`jnl`	Self-Knowledge Distillation: A Simple Way for Better Generalization. CoRR Kyungyul Kim, Byeongmoon Ji, Doyoung Yoon, Sangheum Hwang
2018	J	`jnl`	A Scalable Feature Based Clustering Algorithm for Sequences with Many Distinct Items. Int. J. Fuzzy Log. Intell. Syst. Sangheum Hwang, Dohyun Kim
2018	J	`jnl`	Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge. CoRR Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikaël Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Palhares Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir M. Rajpoot, Erik Sjöblom, Jesper Molin, Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Zhipeng Jia, Eric I-Chao Chang, Yan Xu, Andrew H. Beck, Paul J. van Diest, Josien P. W. Pluim
2018	J	`jnl`	Robust relevance vector machine for classification with variational inference. Ann. Oper. Res. Sangheum Hwang, Myong K. Jeong
2017	—	`conf`	A Unified Framework for Tumor Proliferation Score Prediction in Breast Histopathology. DLMIA/ML-CDS@MICCAI Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Minsoo Kim
2017	—	`conf`	Accurate Lung Segmentation via Network-Wise Training of Convolutional Networks. DLMIA/ML-CDS@MICCAI Sangheum Hwang, Sunggyun Park
2017	J	`jnl`	Accurate Lung Segmentation via Network-Wise Training of Convolutional Networks. CoRR Sangheum Hwang, Sunggyun Park
2016	J	`jnl`	A Unified Framework for Tumor Proliferation Score Prediction in Breast Histopathology. CoRR Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Minsoo Kim, Seokhwi Kim
2016	—	`conf`	A novel approach for tuberculosis screening based on deep convolutional neural networks. Computer-Aided Diagnosis Sangheum Hwang, Hyo-Eun Kim, Jihoon Jeong, Hee-jin Kim
2016	J	`jnl`	A robust support vector regression with a linear-log concave loss function. J. Oper. Res. Soc. Dohyun Kim, Chungmok Lee, Sangheum Hwang, Myong K. Jeong
2016	J	`jnl`	Collaborative crystal structure prediction. Expert Syst. Appl. Sangheum Hwang, Jiho Yoo, Chanhee Lee, Sang Hyun Lee
2016	J	`jnl`	Scale-Invariant Feature Learning using Deconvolutional Neural Networks for Weakly-Supervised Semantic Segmentation. CoRR Hyo-Eun Kim, Sangheum Hwang
2016	J	`jnl`	Self-Transfer Learning for Fully Weakly Supervised Object Localization. CoRR Sangheum Hwang, Hyo-Eun Kim
2016	—	`conf`	Self-Transfer Learning for Weakly Supervised Lesion Localization. MICCAI (2) Sangheum Hwang, Hyo-Eun Kim
2016	J	`jnl`	Semantic Noise Modeling for Better Representation Learning. CoRR Hyo-Eun Kim, Sangheum Hwang, Kyunghyun Cho
2015	J	`jnl`	Robust kernel-based regression with bounded influence for outliers. J. Oper. Res. Soc. Sangheum Hwang, Dohyun Kim, Myong K. Jeong, Bong-Jin Yum