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ORCIDYeonjeong Jeong
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2020 – today
- 2023
[c11]Taehoon Kim
, Kwangwon Koh, Changdae Kim, Eunji Pak, Yeonjeong Jeong, Sang-Hoon Kim:
DEHype: Retrofitting Hypervisors for a Resource-Disaggregated Environment. CLUSTER 2023: 37-48- [c10]Sunghwan Yoo, Yeonjeong Jeong, Maryam Jameela, Gunho Sohn:
Human Vision Based 3D Point Cloud Semantic Segmentation of Large-Scale Outdoor Scenes. CVPR Workshops 2023: 6577-6586 - 2022
- [j2]Zihan Zhang, Yeonjeong Jeong, Jongseong Jang, Chi-Guhn Lee:
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) - [c9]Connie Ko, Yeonjeong Jeong, Hyungju Lee, Gunho Sohn:
YUTO Tree5000: A Large-Scale Airborne LiDAR Dataset for Single Tree Detection. ICPR Workshops (3) 2022: 371-385 - [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 - 2021
- [c7]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 - [c6]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 - [c5]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 - [i5]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) - [i4]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) - [i3]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) - [i2]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
- [i1]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)
2000 – 2009
- 2007
- [c4]Yeonjeong Jeong, Jihyun Park, Jeonghyun Kim, Kisong Yoon:
DRM Content Adaptation Scheme Between Different DRM Systems for Seamless Content Service. ICME 2007: 867-870 - 2006
- [c3]Junil Kim, Yeonjeong Jeong, Kisong Yoon, Jaecheol Ryou:
A trustworthy end-to-end key management scheme for digital rights management. ACM Multimedia 2006: 635-638 - 2005
- [c2]Yeonjeong Jeong, Junil Kim, Jihyun Park, Kisong Yoon, Jaecheol Ryou:
End-to-End Digital Rights Management on the Overall Value-Chains of Content Distribution. IMSA 2005: 294-297 - 2004
- [j1]Yeonjeong Jeong, Kisong Yoon, Jaecheol Ryou:
MPEG-2 Streaming Protection Scheme for Digital Rights Management. IEICE Trans. Inf. Syst. 87-D(12): 2594-2601 (2004) - 2000
- [c1]Junseok Lee, Yeonjeong Jeong, Seongoun Hwang, Young B. Choi, Kisong Yoon, Myung-Joon Kim:
A Design of the Hybrid Messaging System (HMS) Based on PKI. PDPTA 2000
Coauthor Index
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