Youngjun Kwak

According to our database, Youngjun Kwak authored at least 19 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

K-FinHallu: A Hallucination Detection Benchmark for Multi-Turn RAG in Korean Finance.

Eunbyeol Cho, Yunseung Lee, Mirae Kim, Jeewon Yang, Youngjun Kwak, Edward Choi

CoRR, May, 2026

ExpGuard: LLM Content Moderation in Specialized Domains.

Minseok Choi, Dongjin Kim, Seungbin Yang, Subin Kim, Youngjun Kwak, Juyoung Oh, Jaegul Choo, Jungmin Son

CoRR, March, 2026

FENCE: A Financial and Multimodal Jailbreak Detection Dataset.

Mirae Kim, Seonghun Jeong, Youngjun Kwak

CoRR, February, 2026

BankMathBench: A Benchmark for Numerical Reasoning in Banking Scenarios.

Yunseung Lee, Subin Kim, Youngjun Kwak, Jaegul Choo

CoRR, February, 2026

2025

FedDAR: Federated Learning With Data-Quantity Aware Regularization for Heterogeneous Distributed Data.

Youngjun Kwak, Minyoung Jung

IEEE Access, 2025

A 321-Layer 2Tb 4b/cell 3D-NAND-Flash Memory with a 75MB/s Program Throughput.

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

Proceedings of the IEEE International Solid-State Circuits Conference, 2025

Query Generation Pipeline with Enhanced Answerability Assessment for Financial Information Retrieval.

Hyunkyu Kim, Yeeun Yoo, Youngjun Kwak

Proceedings of the 6th ACM International Conference on AI in Finance, 2025

2024

Federated Learning for Face Recognition via Intra-subject Self-supervised Learning.

Hansol Kim, Hoyeol Choi, Youngjun Kwak

Proceedings of the 35th British Machine Vision Conference, 2024

2023

1st Place in ICCV 2023 Workshop Challenge Track 1 on Resource Efficient Deep Learning for Computer Vision: Budgeted Model Training Challenge.

Youngjun Kwak, Seonghun Jeong, Yunseung Lee, Changick Kim

CoRR, 2023

Robust Face Anti-Spoofing Framework with Convolutional Vision Transformer.

Yunseung Lee, Youngjun Kwak, Jinho Shin

Proceedings of the IEEE International Conference on Image Processing, 2023

RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning.

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 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ProtoFL: Unsupervised Federated Learning via Prototypical Distillation.

Hansol Kim, Youngjun Kwak, Minyoung Jung, Jinho Shin, Youngsung Kim, Changick Kim

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Liveness Score-Based Regression Neural Networks for Face Anti-Spoofing.

Youngjun Kwak, Minyoung Jung, Hunjae Yoo, Jinho Shin, Changick Kim

Proceedings of the IEEE International Conference on Acoustics, 2023

2021

Order Regularization on Ordinal Loss for Head Pose, Age and Gaze Estimation.

Tianchu Guo, Hui Zhang, ByungIn Yoo, Yongchao Liu, Youngjun Kwak, Jae-Joon Han

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone.

Tianchu Guo, Yongchao Liu, Hui Zhang, Xiabing Liu, Youngjun Kwak, ByungIn Yoo, Jae-Joon Han, Changkyu Choi

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss.

Sangil Jung, Changyong Son, Seohyung Lee, JinWoo Son, Jae-Joon Han, Youngjun Kwak, Sung Ju Hwang, Changkyu Choi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Deep Facial Age Estimation Using Conditional Multitask Learning With Weak Label Expansion.

ByungIn Yoo, Youngjun Kwak, Youngsung Kim, Changkyu Choi, Junmo Kim

IEEE Signal Process. Lett., 2018

Joint Training of Low-Precision Neural Network with Quantization Interval Parameters.

Sangil Jung, Changyong Son, Seohyung Lee, JinWoo Son, Youngjun Kwak, Jae-Joon Han, Changkyu Choi

CoRR, 2018

2017

Deep generative-contrastive networks for facial expression recognition.

Youngsung Kim, ByungIn Yoo, Youngjun Kwak, Changkyu Choi, Junmo Kim

CoRR, 2017