Safety management algorithm for telesurgical robot system for brain tumor surgery. - Jongseong Jang; Young Soo Kim (ISR, 2013)

Co-segmentation of inter-subject brain magnetic resonance images. - Jongseong Jang; Hyung Wook Kim; Young Soo Kim (URAI, 2014)

Real-time Triple-modal Photoacoustic, Ultrasound, and Magnetic Resonance Fusion Imaging of Humans. - Sara Park; Jongseong Jang; Jeesu Kim; Young Soo Kim; Chulhong Kim (IEEE Trans. Medical Imaging, 2017)

Propagated Perturbation of Adversarial Attack for well-known CNNs: Empirical Study and its Explanation. - Jihyeun Yoon; Kyungyul Kim; Jongseong Jang (ICCV Workshops, 2019)

Adversarial Shapley Value Experience Replay for Task-Free Continual Learning. - Zheda Mai; Dongsub Shim; Jihwan Jeong; Scott Sanner; Hyunwoo Kim; Jongseong Jang (CoRR, 2020)

Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation. - Sam Sattarzadeh; Mahesh Sudhakar; Anthony Lem; Shervin Mehryar; Konstantinos N. Plataniotis; Jongseong Jang; Hyunwoo Kim; Yeonjeong Jeong; Sangmin Lee; Kyunghoon Bae (AAAI, 2021)

Online Class-Incremental Continual Learning with Adversarial Shapley Value. - Dongsub Shim; Zheda Mai; Jihwan Jeong; Scott Sanner; Hyunwoo Kim; Jongseong Jang (AAAI, 2021)

Integrated Grad-Cam: Sensitivity-Aware Visual Explanation of Deep Convolutional Networks Via Integrated Gradient-Based Scoring. - Sam Sattarzadeh; Mahesh Sudhakar; Konstantinos N. Plataniotis; Jongseong Jang; Yeonjeong Jeong; Hyunwoo Kim (ICASSP, 2021)

Ada-Sise: Adaptive Semantic Input Sampling for Efficient Explanation of Convolutional Neural Networks. - Mahesh Sudhakar; Sam Sattarzadeh; Konstantinos N. Plataniotis; Jongseong Jang; Yeonjeong Jeong; Hyunwoo Kim (ICASSP, 2021)

EDDA: Explanation-driven Data Augmentation to Improve Model and Explanation Alignment. - Ruiwen Li; Zhibo Zhang; Jiani Li; Scott Sanner; Jongseong Jang; Yeonjeong Jeong; Dongsub Shim (CoRR, 2021)

Look at here : Utilizing supervision to attend subtle key regions. - Changhwan Lee; Yeesuk Kim; Bong Gun Lee; Doosup Kim; Jongseong Jang (CoRR, 2021)

ExCon: Explanation-driven Supervised Contrastive Learning for Image Classification. - Zhibo Zhang; Jongseong Jang; Chiheb Trabelsi; Ruiwen Li; Scott Sanner; Yeonjeong Jeong; Dongsub Shim (CoRR, 2021)

Multi-policy Grounding and Ensemble Policy Learning for Transfer Learning with Dynamics Mismatch. - Hyun-Rok Lee; Ram Ananth Sreenivasan; Yeonjeong Jeong; Jongseong Jang; Dongsub Shim; Chi-Guhn Lee (IJCAI, 2022)

TransCAM: Transformer Attention-based CAM Refinement for Weakly Supervised Semantic Segmentation. - Ruiwen Li; Zheda Mai; Chiheb Trabelsi; Zhibo Zhang; Jongseong Jang; Scott Sanner (CoRR, 2022)

Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders. - Jongseong Jang; Daeun Kyung; Seung Hwan Kim; Honglak Lee; Kyunghoon Bae; Edward Choi (CoRR, 2022)

A Pattern-Driven Stochastic Degradation Model for the Prediction of Remaining Useful Life of Rechargeable Batteries. - Zihan Zhang; Yeonjeong Jeong; Jongseong Jang; Chi-Guhn Lee (IEEE Trans. Ind. Informatics, 2022)

TransCAM: Transformer attention-based CAM refinement for Weakly supervised semantic segmentation. - Ruiwen Li; Zheda Mai; Zhibo Zhang; Jongseong Jang; Scott Sanner (J. Vis. Commun. Image Represent., 2023)

EXAONEPath 1.0 Patch-level Foundation Model for Pathology. - Juseung Yun; Yi Hu; Jinhyung Kim; Jongseong Jang; Soonyoung Lee (CoRR, 2024)

Pan-cancer gene set discovery via scRNA-seq for optimal deep learning based downstream tasks. - Jong Hyun Kim; Jongseong Jang (CoRR, 2024)

ChatEXAONEPath: An Expert-level Multimodal Large Language Model for Histopathology Using Whole Slide Images. - Sangwook Kim; Soonyoung Lee; Jongseong Jang (CoRR, 2025)

EXAONE Path 2.0: Pathology Foundation Model with End-to-End Supervision. - Myungjang Pyeon; Janghyeon Lee; Minsoo Lee; Juseung Yun; Hwanil Choi; Jonghyun Kim; Jiwon Kim; Yi Hu; Jongseong Jang; Soonyoung Lee (CoRR, 2025)