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Jongseong Jang
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2020 – today
- 2024
- [i12]Juseung Yun, Yi Hu, Jinhyung Kim, Jongseong Jang, Soonyoung Lee:
EXAONEPath 1.0 Patch-level Foundation Model for Pathology. CoRR abs/2408.00380 (2024) - [i11]Jong Hyun Kim, Jongseong Jang:
Pan-cancer gene set discovery via scRNA-seq for optimal deep learning based downstream tasks. CoRR abs/2408.07233 (2024) - 2023
- [j3]Ruiwen Li, Zheda Mai, Zhibo Zhang, Jongseong Jang, Scott Sanner:
TransCAM: Transformer attention-based CAM refinement for Weakly supervised semantic segmentation. J. Vis. Commun. Image Represent. 92: 103800 (2023) - 2022
- [j2]Zihan Zhang
, Yeonjeong Jeong
A Pattern-Driven Stochastic Degradation Model for the Prediction of Remaining Useful Life of Rechargeable Batteries. IEEE Trans. Ind. Informatics 18(12): 8586-8594 (2022) - [c8]Hyun-Rok Lee, Ram Ananth Sreenivasan, Yeonjeong Jeong, Jongseong Jang, Dongsub Shim, Chi-Guhn Lee:
Multi-policy Grounding and Ensemble Policy Learning for Transfer Learning with Dynamics Mismatch. IJCAI 2022: 3171-3177 - [i10]Ruiwen Li, Zheda Mai, Chiheb Trabelsi, Zhibo Zhang, Jongseong Jang, Scott Sanner:
TransCAM: Transformer Attention-based CAM Refinement for Weakly Supervised Semantic Segmentation. CoRR abs/2203.07239 (2022) - [i9]Jongseong Jang, Daeun Kyung, Seung Hwan Kim, Honglak Lee, Kyunghoon Bae, Edward Choi:
Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders. CoRR abs/2212.07050 (2022) - 2021
- [c7]Dongsub Shim, Zheda Mai, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang:
Online Class-Incremental Continual Learning with Adversarial Shapley Value. AAAI 2021: 9630-9638 - [c6]Sam Sattarzadeh, Mahesh Sudhakar, Anthony Lem, Shervin Mehryar, Konstantinos N. Plataniotis, Jongseong Jang, Hyunwoo Kim, Yeonjeong Jeong, Sangmin Lee, Kyunghoon Bae:
Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation. AAAI 2021: 11639-11647 - [c5]Mahesh Sudhakar, Sam Sattarzadeh, Konstantinos N. Plataniotis, Jongseong Jang, Yeonjeong Jeong, Hyunwoo Kim:
Ada-Sise: Adaptive Semantic Input Sampling for Efficient Explanation of Convolutional Neural Networks. ICASSP 2021: 1715-1719 - [c4]Sam Sattarzadeh, Mahesh Sudhakar, Konstantinos N. Plataniotis, Jongseong Jang, Yeonjeong Jeong, Hyunwoo Kim:
Integrated Grad-Cam: Sensitivity-Aware Visual Explanation of Deep Convolutional Networks Via Integrated Gradient-Based Scoring. ICASSP 2021: 1775-1779 - [i8]Mahesh Sudhakar, Sam Sattarzadeh, Konstantinos N. Plataniotis, Jongseong Jang, Yeonjeong Jeong, Hyunwoo Kim:
Ada-SISE: Adaptive Semantic Input Sampling for Efficient Explanation of Convolutional Neural Networks. CoRR abs/2102.07799 (2021) - [i7]Sam Sattarzadeh, Mahesh Sudhakar, Konstantinos N. Plataniotis, Jongseong Jang, Yeonjeong Jeong, Hyunwoo Kim:
Integrated Grad-CAM: Sensitivity-Aware Visual Explanation of Deep Convolutional Networks via Integrated Gradient-Based Scoring. CoRR abs/2102.07805 (2021) - [i6]Ruiwen Li, Zhibo Zhang, Jiani Li, Scott Sanner, Jongseong Jang, Yeonjeong Jeong, Dongsub Shim:
EDDA: Explanation-driven Data Augmentation to Improve Model and Explanation Alignment. CoRR abs/2105.14162 (2021) - [i5]Changhwan Lee, Yeesuk Kim, Bong Gun Lee, Doosup Kim, Jongseong Jang:
Look at here : Utilizing supervision to attend subtle key regions. CoRR abs/2111.13233 (2021) - [i4]Zhibo Zhang, Jongseong Jang, Chiheb Trabelsi, Ruiwen Li, Scott Sanner, Yeonjeong Jeong, Dongsub Shim:
ExCon: Explanation-driven Supervised Contrastive Learning for Image Classification. CoRR abs/2111.14271 (2021) - 2020
- [i3]Zheda Mai, Dongsub Shim, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang:
Adversarial Shapley Value Experience Replay for Task-Free Continual Learning. CoRR abs/2009.00093 (2020) - [i2]Sam Sattarzadeh, Mahesh Sudhakar, Anthony Lem, Shervin Mehryar, Kostas N. Plataniotis, Jongseong Jang, Hyunwoo Kim, Yeonjeong Jeong, Sangmin Lee, Kyunghoon Bae:
Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation. CoRR abs/2010.00672 (2020)
2010 – 2019
- 2019
- [c3]Jihyeun Yoon, Kyungyul Kim, Jongseong Jang:
Propagated Perturbation of Adversarial Attack for well-known CNNs: Empirical Study and its Explanation. ICCV Workshops 2019: 4226-4234 - [i1]Jihyeun Yoon, Kyungyul Kim, Jongseong Jang:
Propagated Perturbation of Adversarial Attack for well-known CNNs: Empirical Study and its Explanation. CoRR abs/1909.09263 (2019) - 2017
- [j1]Sara Park
Real-time Triple-modal Photoacoustic, Ultrasound, and Magnetic Resonance Fusion Imaging of Humans. IEEE Trans. Medical Imaging 36(9): 1912-1921 (2017) - 2014
- [c2]Jongseong Jang, Hyung Wook Kim, Young Soo Kim:
Co-segmentation of inter-subject brain magnetic resonance images. URAI 2014: 80-84 - 2013
- [c1]Jongseong Jang, Young Soo Kim:
Safety management algorithm for telesurgical robot system for brain tumor surgery. ISR 2013: 1-2
Coauthor Index
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