Jongseong Jang

27 papers A* 3Misc 2Journal 19Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MINT: Molecularly Informed Training with Spatial Transcriptomics Supervision for Pathology Foundation Models. CoRR Minsoo Lee, Jonghyun Kim, Juseung Yun, Sunwoo Yu, Jongseong Jang
2025	J	`jnl`	ChatEXAONEPath: An Expert-level Multimodal Large Language Model for Histopathology Using Whole Slide Images. CoRR Sangwook Kim, Soonyoung Lee, Jongseong Jang
2025	J	`jnl`	EXAONE Path 2.0: Pathology Foundation Model with End-to-End Supervision. CoRR Myungjang Pyeon, Janghyeon Lee, Minsoo Lee, Juseung Yun, Hwanil Choi, Jonghyun Kim, Jiwon Kim, Yi Hu, Jongseong Jang, Soonyoung Lee
2025	J	`jnl`	EXAONE Path 2.5: Pathology Foundation Model with Multi-Omics Alignment. CoRR Juseung Yun, Sunwoo Yu, Sumin Ha, Jonghyun Kim, Janghyeon Lee, Jongseong Jang, Soonyoung Lee
2024	J	`jnl`	EXAONEPath 1.0 Patch-level Foundation Model for Pathology. CoRR Juseung Yun, Yi Hu, Jinhyung Kim, Jongseong Jang, Soonyoung Lee
2024	J	`jnl`	Pan-cancer gene set discovery via scRNA-seq for optimal deep learning based downstream tasks. CoRR Jong Hyun Kim, Jongseong Jang
2023	J	`jnl`	TransCAM: Transformer attention-based CAM refinement for Weakly supervised semantic segmentation. J. Vis. Commun. Image Represent. Ruiwen Li, Zheda Mai, Zhibo Zhang, Jongseong Jang, Scott Sanner
2022	J	`jnl`	A Pattern-Driven Stochastic Degradation Model for the Prediction of Remaining Useful Life of Rechargeable Batteries. IEEE Trans. Ind. Informatics Zihan Zhang, Yeonjeong Jeong, Jongseong Jang, Chi-Guhn Lee
2022	A*	`conf`	Multi-policy Grounding and Ensemble Policy Learning for Transfer Learning with Dynamics Mismatch. IJCAI Hyun-Rok Lee, Ram Ananth Sreenivasan, Yeonjeong Jeong, Jongseong Jang, Dongsub Shim, Chi-Guhn Lee
2022	J	`jnl`	Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders. CoRR Jongseong Jang, Daeun Kyung, Seung Hwan Kim, Honglak Lee, Kyunghoon Bae, Edward Choi
2022	J	`jnl`	TransCAM: Transformer Attention-based CAM Refinement for Weakly Supervised Semantic Segmentation. CoRR Ruiwen Li, Zheda Mai, Chiheb Trabelsi, Zhibo Zhang, Jongseong Jang, Scott Sanner
2021	J	`jnl`	Ada-SISE: Adaptive Semantic Input Sampling for Efficient Explanation of Convolutional Neural Networks. CoRR Mahesh Sudhakar, Sam Sattarzadeh, Konstantinos N. Plataniotis, Jongseong Jang, Yeonjeong Jeong, Hyunwoo Kim
2021	Misc	`conf`	Ada-Sise: Adaptive Semantic Input Sampling for Efficient Explanation of Convolutional Neural Networks. ICASSP Mahesh Sudhakar, Sam Sattarzadeh, Konstantinos N. Plataniotis, Jongseong Jang, Yeonjeong Jeong, Hyunwoo Kim
2021	J	`jnl`	EDDA: Explanation-driven Data Augmentation to Improve Model and Explanation Alignment. CoRR Ruiwen Li, Zhibo Zhang, Jiani Li, Scott Sanner, Jongseong Jang, Yeonjeong Jeong, Dongsub Shim
2021	J	`jnl`	ExCon: Explanation-driven Supervised Contrastive Learning for Image Classification. CoRR Zhibo Zhang, Jongseong Jang, Chiheb Trabelsi, Ruiwen Li, Scott Sanner, Yeonjeong Jeong, Dongsub Shim
2021	A*	`conf`	Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation. AAAI Sam Sattarzadeh, Mahesh Sudhakar, Anthony Lem, Shervin Mehryar, Konstantinos N. Plataniotis, Jongseong Jang, Hyunwoo Kim, Yeonjeong Jeong, Sangmin Lee, Kyunghoon Bae
2021	J	`jnl`	Integrated Grad-CAM: Sensitivity-Aware Visual Explanation of Deep Convolutional Networks via Integrated Gradient-Based Scoring. CoRR Sam Sattarzadeh, Mahesh Sudhakar, Konstantinos N. Plataniotis, Jongseong Jang, Yeonjeong Jeong, Hyunwoo Kim
2021	Misc	`conf`	Integrated Grad-Cam: Sensitivity-Aware Visual Explanation of Deep Convolutional Networks Via Integrated Gradient-Based Scoring. ICASSP Sam Sattarzadeh, Mahesh Sudhakar, Konstantinos N. Plataniotis, Jongseong Jang, Yeonjeong Jeong, Hyunwoo Kim
2021	J	`jnl`	Look at here : Utilizing supervision to attend subtle key regions. CoRR Changhwan Lee, Yeesuk Kim, Bong Gun Lee, Doosup Kim, Jongseong Jang
2021	A*	`conf`	Online Class-Incremental Continual Learning with Adversarial Shapley Value. AAAI Dongsub Shim, Zheda Mai, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang
2020	J	`jnl`	Adversarial Shapley Value Experience Replay for Task-Free Continual Learning. CoRR Zheda Mai, Dongsub Shim, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang
2020	J	`jnl`	Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation. CoRR Sam Sattarzadeh, Mahesh Sudhakar, Anthony Lem, Shervin Mehryar, Kostas N. Plataniotis, Jongseong Jang, Hyunwoo Kim, Yeonjeong Jeong, Sangmin Lee, Kyunghoon Bae
2019	—	`conf`	Propagated Perturbation of Adversarial Attack for well-known CNNs: Empirical Study and its Explanation. ICCV Workshops Jihyeun Yoon, Kyungyul Kim, Jongseong Jang
2019	J	`jnl`	Propagated Perturbation of Adversarial Attack for well-known CNNs: Empirical Study and its Explanation. CoRR Jihyeun Yoon, Kyungyul Kim, Jongseong Jang
2017	J	`jnl`	Real-time Triple-modal Photoacoustic, Ultrasound, and Magnetic Resonance Fusion Imaging of Humans. IEEE Trans. Medical Imaging Sara Park, Jongseong Jang, Jeesu Kim, Young Soo Kim, Chulhong Kim
2014	—	`conf`	Co-segmentation of inter-subject brain magnetic resonance images. URAI Jongseong Jang, Hyung Wook Kim, Young Soo Kim
2013	—	`conf`	Safety management algorithm for telesurgical robot system for brain tumor surgery. ISR Jongseong Jang, Young Soo Kim