OrthoRank: Token Selection via Sink Token Orthogonality for Efficient LLM inference - Seungjun Shin; Jaehoon Oh; Dokwan Oh (CoRR, 2025)

FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning - Gihun Lee; Minchan Jeong; Sangmook Kim; Jaehoon Oh; Se-Young Yun (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024, 2024)

BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization - Gihun Lee; Minchan Jeong; Yujin Kim; Hojung Jung; Jaehoon Oh; SangMook Kim; Se-Young Yun (Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, USA, November 12-16, 2024, 2024)

BAPO: Base-Anchored Preference Optimization for Personalized Alignment in Large Language Models - Gihun Lee; Minchan Jeong; Yujin Kim; Hojung Jung; Jaehoon Oh; Sangmook Kim; Se-Young Yun (CoRR, 2024)

House of Cards: Massive Weights in LLMs - Jaehoon Oh; Seungjun Shin; Dokwan Oh (CoRR, 2024)

CloudNet: A LiDAR-Based Face Anti-Spoofing Model That Is Robust Against Light Variation - Yongrae Kim; Hyunmin Gwak; Jaehoon Oh; Minho Kang; Jinkyu Kim; Hyun Kwon; Sunghwan Kim (IEEE Access, 2023)

Effect of Contrast Level and Image Format on a Deep Learning Algorithm for the Detection of Pneumothorax with Chest Radiography - Myeong Seong Yoon; Gitaek Kwon; Jaehoon Oh; Jongbin Ryu; Jongwoo Lim; Bokyeong Kang; Juncheol Lee; Dongkyoon Han (J. Digit. Imaging, 2023)

FedSoL: Bridging Global Alignment and Local Generality in Federated Learning - Gihun Lee; Minchan Jeong; Sangmook Kim; Jaehoon Oh; Se-Young Yun (CoRR, 2023)

Cross-Modal Retrieval Meets Inference: Improving Zero-Shot Classification with Cross-Modal Retrieval - Seongha Eom; Namgyu Ho; Jaehoon Oh; Se-Young Yun (CoRR, 2023)

FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning - Seongyoon Kim; Gihun Lee; Jaehoon Oh; Se-Young Yun (CoRR, 2023)

ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning - Jaehoon Oh; Sungnyun Kim; Namgyu Ho; Jin-Hwa Kim; Hwanjun Song; Se-Young Yun (Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022, 2022)

Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks - Jaehoon Oh; Jongwoo Ko; Se-Young Yun (Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022, 2022)

FedBABU: Toward Enhanced Representation for Federated Image Classification - Jaehoon Oh; Sangmook Kim; Se-Young Yun (The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022, 2022)

Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty - Jaehoon Oh; Sungnyun Kim; Namgyu Ho; Jin-Hwa Kim; Hwanjun Song; Se-Young Yun (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Understanding Cross-Domain Few-Shot Learning: An Experimental Study - Jaehoon Oh; Sungnyun Kim; Namgyu Ho; Jin-Hwa Kim; Hwanjun Song; Se-Young Yun (CoRR, 2022)

ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning - Jaehoon Oh; Sungnyun Kim; Namgyu Ho; Jin-Hwa Kim; Hwanjun Song; Se-Young Yun (CoRR, 2022)

Revisiting the Updates of a Pre-trained Model for Few-shot Learning - Yujin Kim; Jaehoon Oh; Sungnyun Kim; Se-Young Yun (CoRR, 2022)

Demystifying the Base and Novel Performances for Few-shot Class-incremental Learning - Jaehoon Oh; Se-Young Yun (CoRR, 2022)

Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks - Jaehoon Oh; Jongwoo Ko; Se-Young Yun (CoRR, 2022)

External Validation of Deep Learning Algorithm for Detecting and Visualizing Femoral Neck Fracture Including Displaced and Non-displaced Fracture on Plain X-ray - Junwon Bae; Sangjoon Yu; Jaehoon Oh; Tae Hyun Kim; Jae Ho Chung; Hayoung Byun; Myeong Seong Yoon; Chiwon Ahn; Dong Keon Lee (J. Digit. Imaging, 2021)

BOIL: Towards Representation Change for Few-shot Learning - Jaehoon Oh; Hyungjun Yoo; ChangHwan Kim; Se-Young Yun (9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021, 2021)

Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation - Taehyeon Kim; Jaehoon Oh; Nakyil Kim; Sangwook Cho; Se-Young Yun (Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021, Virtual Event / Montreal, Canada, 19-27 August 2021, 2021)

Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation - Taehyeon Kim; Jaehoon Oh; Nakyil Kim; Sangwook Cho; Se-Young Yun (CoRR, 2021)

FedBABU: Towards Enhanced Representation for Federated Image Classification - Jaehoon Oh; Sangmook Kim; Se-Young Yun (CoRR, 2021)

SIPA: A Simple Framework for Efficient Networks - Gihun Lee; Sangmin Bae; Jaehoon Oh; Se-Young Yun (20th International Conference on Data Mining Workshops, ICDM Workshops 2020, Sorrento, Italy, November 17-20, 2020, 2020)

SIPA: A Simple Framework for Efficient Networks - Gihun Lee; Sangmin Bae; Jaehoon Oh; Se-Young Yun (CoRR, 2020)

Does MAML really want feature reuse only? - Jaehoon Oh; Hyungjun Yoo; ChangHwan Kim; Se-Young Yun (CoRR, 2020)

TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture - Jin-Woo Lee; Jaehoon Oh; Sungsu Lim; Se-Young Yun; Jae-Gil Lee (CoRR, 2020)

Accurate and Fast Federated Learning via IID and Communication-Aware Grouping - Jin-Woo Lee; Jaehoon Oh; Yooju Shin; Jae-Gil Lee; Se-Young Yoon (CoRR, 2020)

A pipelined hybrid recommender system for ranking the items on the display - Jaehoon Oh; Sangmook Kim; Se-Young Yun; Seungwoo Choi; Mun Yong Yi (Proceedings of the Workshop on ACM Recommender Systems Challenge, Copenhagen, Denmark, September 2019, 2019)

TED Talk Recommender Using Speech Transcripts - Jaehoon Oh; Injung Lee; Yeon Seonwoo; Simin Sung; Ilbong Kwon; Jae-Gil Lee (IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018, Barcelona, Spain, August 28-31, 2018, 2018)

TED Talk Recommender Using Speech Transcripts - Jaehoon Oh; Injung Lee; Yeon Seonwoo; Simin Sung; Ilbong Kwon; Jae-Gil Lee (CoRR, 2018)

Spectrogram-channels u-net: a source separation model viewing each channel as the spectrogram of each source - Jaehoon Oh; Duyeon Kim; Se-Young Yun (CoRR, 2018)

A Feasibility Study of Telementoring for Identifying the Appendix Using Smartphone-Based Telesonography - Yoonje Lee; Changsun Kim; Hyuk Joong Choi; Bossng Kang; Jaehoon Oh; Tae Ho Lim (J. Digit. Imaging, 2017)

A Feasibility Study of Smartphone-Based Telesonography for Evaluating Cardiac Dynamic Function and Diagnosing Acute Appendicitis with Control of the Image Quality of the Transmitted Videos - Changsun Kim; Hyunmin Cha; Bo Seung Kang; Hyuk Joong Choi; Tae Ho Lim; Jaehoon Oh (J. Digit. Imaging, 2016)

A new method to increase the quality of cardiopulmonary resuscitation in hospital - Yeongtak Song; Jaehoon Oh; Tae Ho Lim; Youngjoon Chee (35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013, Osaka, Japan, July 3-7, 2013, 2013)