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2020 – today
- 2026
[i15]Yunseung Lee, Subin Kim, Youngjun Kwak, Jaegul Choo:
BankMathBench: A Benchmark for Numerical Reasoning in Banking Scenarios. CoRR abs/2602.17072 (2026)- [i14]Mirae Kim, Seonghun Jeong, Youngjun Kwak:
FENCE: A Financial and Multimodal Jailbreak Detection Dataset. CoRR abs/2602.18154 (2026) - [i13]Minseok Choi, Dongjin Kim, Seungbin Yang, Subin Kim, Youngjun Kwak, Juyoung Oh, Jaegul Choo, Jungmin Son:
ExpGuard: LLM Content Moderation in Specialized Domains. CoRR abs/2603.02588 (2026) - [i12]Eunbyeol Cho, Yunseung Lee, Mirae Kim, Jeewon Yang, Youngjun Kwak, Edward Choi:
K-FinHallu: A Hallucination Detection Benchmark for Multi-Turn RAG in Korean Finance. CoRR abs/2605.29523 (2026) - [i11]Minseok Choi, Seungbin Yang, Dongjin Kim, Subin Kim, Jungmin Son, Yunseung Lee, Jaegul Choo, Youngjun Kwak:
Membrane: A Self-Evolving Contrastive Safety Memory for LLM Agent Defense. CoRR abs/2606.05743 (2026) - [i10]Hyunkyu Kim, Yeeun Yoo, Youngjun Kwak:
Listwise Explanation of Embedding-Based Rankings via Semantic Chunk Grouping. CoRR abs/2606.27980 (2026) - 2025
- [j2]Youngjun Kwak
, Minyoung Jung:
FedDAR: Federated Learning With Data-Quantity Aware Regularization for Heterogeneous Distributed Data. IEEE Access 13: 133208-133217 (2025) - [c10]Hyunkyu Kim, Yeeun Yoo, Youngjun Kwak:
Query Generation Pipeline with Enhanced Answerability Assessment for Financial Information Retrieval. ICAIF 2025: 141-149 - [c9]Wanik Cho, Chanhui Jeong, Jongwoo Kim, Jongseok Jung, Keunseon Ahn, Jayoon Goo, Sangkyu Lee, Kayoung Cho, Tei Cho, Dauni Kim, Gwan Park, Yushin Ahn, Sooyeol Chai, Gwihan Ko, Sunyoung Jung, Eunwoo Jo, Taehun Park, Jinhyun Ban, Cheoljoong Park, Jae Hyun Park, Sanghoon Oh, Sojin Jeong, Youngjun Kwak, Kyungsoo Jeong, Jinyeop Kim, Minchol Shin, Eunho Yang, Taisik Shin, Youngil Kim, Jiseong Mun, Chanyang Ryu, Huihyeon Park, Changwan Ha, Jong Tai Park, Peng Zhang, Sooyong Park, Rezaul Haque, Hang Tian, Sunghwa Ok, Wonbeom Choi, Junyoun Lim, Dongkyu Yoon, Sechun Park, Wonsun Park, Kichang Gwon, Seungpil Lee, Hwang Huh, Woopyo Jeong, Jungdal Choi:
A 321-Layer 2Tb 4b/cell 3D-NAND-Flash Memory with a 75MB/s Program Throughput. ISSCC 2025: 512-514 - [i9]Hyunkyu Kim, Yeeun Yoo, Youngjun Kwak:
Query Generation Pipeline with Enhanced Answerability Assessment for Financial Information Retrieval. CoRR abs/2511.05000 (2025) - 2024
- [c8]Hansol Kim, Hoyeol Choi, Youngjun Kwak:
Federated Learning for Face Recognition via Intra-subject Self-supervised Learning. BMVC 2024 - [i8]Hansol Kim, Hoyeol Choi, Youngjun Kwak:
Federated Learning for Face Recognition via Intra-subject Self-supervised Learning. CoRR abs/2407.16289 (2024) - 2023
- [c7]Youngjun Kwak, Minyoung Jung, Hunjae Yoo, Jinho Shin, Changick Kim:
Liveness Score-Based Regression Neural Networks for Face Anti-Spoofing. ICASSP 2023: 1-5 - [c6]Hansol Kim, Youngjun Kwak, Minyoung Jung, Jinho Shin, Youngsung Kim, Changick Kim:
ProtoFL: Unsupervised Federated Learning via Prototypical Distillation. ICCV 2023: 6447-6456 - [c5]Rishabh Tiwari, Arnav Chavan, Deepak K. Gupta, Gowreesh Mago, Animesh Gupta, Akash Gupta, Suraj Sharan, Yukun Yang, Shanwei Zhao, Shihao Wang, Youngjun Kwak, Seonghun Jeong, Yunseung Lee, Changick Kim, Subin Kim, Ganzorig Gankhuyag, Ho Jung, Junwhan Ryu, HaeMoon Kim, Byeong Hak Kim, Tu Vo, Sheir Zaheer, Alexander C. Holston, Chan Y. Park, Dheemant Dixit, Nahush Lele, Kushagra Bhushan, Debjani Bhowmick, Devanshu Arya, Sadaf Gulshad, Amirhossein Habibian, Amir Ghodrati, Babak Ehteshami Bejnordi, Jai Gupta, Zhuang Liu, Jiahui Yu, Dilip K. Prasad, Zhiqiang Shen:
RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning. ICCV (Workshops) 2023: 1526-1535 - [c4]Yunseung Lee, Youngjun Kwak, Jinho Shin:
Robust Face Anti-Spoofing Framework with Convolutional Vision Transformer. ICIP 2023: 1015-1019 - [i7]Youngjun Kwak, Minyoung Jung, Hunjae Yoo, Jinho Shin, Changick Kim:
Liveness score-based regression neural networks for face anti-spoofing. CoRR abs/2302.09461 (2023) - [i6]Hansol Kim, Youngjun Kwak, Minyoung Jung, Jinho Shin, Youngsung Kim, Changick Kim:
ProtoFL: Unsupervised Federated Learning via Prototypical Distillation. CoRR abs/2307.12450 (2023) - [i5]Yunseung Lee, Youngjun Kwak, Jinho Shin:
Robust face anti-spoofing framework with Convolutional Vision Transformer. CoRR abs/2307.12459 (2023) - [i4]Youngjun Kwak, Seonghun Jeong, Yunseung Lee, Changick Kim:
1st Place in ICCV 2023 Workshop Challenge Track 1 on Resource Efficient Deep Learning for Computer Vision: Budgeted Model Training Challenge. CoRR abs/2311.11470 (2023) - 2021
- [c3]Tianchu Guo, Hui Zhang, ByungIn Yoo, Yongchao Liu, Youngjun Kwak, Jae-Joon Han:
Order Regularization on Ordinal Loss for Head Pose, Age and Gaze Estimation. AAAI 2021: 1496-1504
2010 – 2019
- 2019
- [c2]Sangil Jung, Changyong Son, Seohyung Lee, JinWoo Son, Jae-Joon Han, Youngjun Kwak, Sung Ju Hwang, Changkyu Choi:
Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss. CVPR 2019: 4350-4359 - [c1]Tianchu Guo, Yongchao Liu, Hui Zhang, Xiabing Liu, Youngjun Kwak, ByungIn Yoo, Jae-Joon Han, Changkyu Choi:
A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone. ICCV Workshops 2019: 1131-1139 - [i3]Tianchu Guo, Yongchao Liu, Hui Zhang, Xiabing Liu, Youngjun Kwak, ByungIn Yoo, Jae-Joon Han, Changkyu Choi:
A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone. CoRR abs/1910.07331 (2019) - 2018
- [j1]ByungIn Yoo, Youngjun Kwak, Youngsung Kim, Changkyu Choi, Junmo Kim:
Deep Facial Age Estimation Using Conditional Multitask Learning With Weak Label Expansion. IEEE Signal Process. Lett. 25(6): 808-812 (2018) - [i2]Sangil Jung, Changyong Son, Seohyung Lee, JinWoo Son, Youngjun Kwak, Jae-Joon Han, Changkyu Choi:
Joint Training of Low-Precision Neural Network with Quantization Interval Parameters. CoRR abs/1808.05779 (2018) - 2017
- [i1]Youngsung Kim, ByungIn Yoo, Youngjun Kwak, Changkyu Choi, Junmo Kim:
Deep generative-contrastive networks for facial expression recognition. CoRR abs/1703.07140 (2017)
Coauthor Index
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