Arbitrary Style Transfer Using Graph Instance Normalization. - Dongki Jung; Seunghan Yang; Jaehoon Choi; Changick Kim (ICIP, 2020)

The Korean Sign Language Dataset for Action Recognition. - Seunghan Yang; Seungjun Jung; Heekwang Kang; Changick Kim (MMM (1), 2020)

Combinational Class Activation Maps for Weakly Supervised Object Localization. - Seunghan Yang; Yoonhyung Kim; Youngeun Kim; Changick Kim (WACV, 2020)

Partial Domain Adaptation Using Graph Convolutional Networks. - Seunghan Yang; Youngeun Kim; Dongki Jung; Changick Kim (CoRR, 2020)

Associative Partial Domain Adaptation. - Youngeun Kim; Sungeun Hong; Seunghan Yang; Sungil Kang; Yunho Jeon; Jiwon Kim (CoRR, 2020)

Domain Generalization on Efficient Acoustic Scene Classification Using Residual Normalization. - Byeonggeun Kim; Seunghan Yang; Jangho Kim; Simyung Chang (DCASE, 2021)

Distribution Estimation to Automate Transformation Policies for Self-Supervision. - Seunghan Yang; Debasmit Das; Simyung Chang; Sungrack Yun; Fatih Porikli (CoRR, 2021)

Improving Test-Time Adaptation Via Shift-Agnostic Weight Regularization and Nearest Source Prototypes. - Sungha Choi; Seunghan Yang; Seokeon Choi; Sungrack Yun (ECCV (33), 2022)

Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting. - Byeonggeun Kim; Seunghan Yang; Inseop Chung; Simyung Chang (INTERSPEECH, 2022)

Domain Generalization with Relaxed Instance Frequency-wise Normalization for Multi-device Acoustic Scene Classification. - Byeonggeun Kim; Seunghan Yang; Jangho Kim; Hyunsin Park; Juntae Lee; Simyung Chang (INTERSPEECH, 2022)

Domain Agnostic Few-shot Learning for Speaker Verification. - Seunghan Yang; Debasmit Das; Janghoon Cho; Hyoungwoo Park; Sungrack Yun (INTERSPEECH, 2022)

Personalized Keyword Spotting through Multi-task Learning. - Seunghan Yang; Byeonggeun Kim; Inseop Chung; Simyung Chang (INTERSPEECH, 2022)

QTI Submission to DCASE 2021: residual normalization for device-imbalanced acoustic scene classification with efficient design. - Byeonggeun Kim; Seunghan Yang; Jangho Kim; Simyung Chang (CoRR, 2022)

Robust Federated Learning With Noisy Labels. - Seunghan Yang; Hyoungseob Park; Junyoung Byun; Changick Kim (IEEE Intell. Syst., 2022)

Progressive Random Convolutions for Single Domain Generalization. - Seokeon Choi; Debasmit Das; Sungha Choi; Seunghan Yang; Hyunsin Park; Sungrack Yun (CVPR, 2023)

Neural Transformation Network to Generate Diverse Views for Contrastive Learning. - Taekyung Kim 002; Debasmit Das; Seokeon Choi; Minki Jeong; Seunghan Yang; Sungrack Yun; Changick Kim (CVPR Workshops, 2023)

Scalable Weight Reparametrization for Efficient Transfer Learning. - Byeonggeun Kim; Jun-Tae Lee; Seunghan Yang; Simyung Chang (ICASSP, 2023)

Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts. - Sunghyun Park 005; Seunghan Yang; Jaegul Choo; Sungrack Yun (ICCV, 2023)

Improving Small Footprint Few-shot Keyword Spotting with Supervision on Auxiliary Data. - Seunghan Yang; Byeonggeun Kim; Kyuhong Shim; Simyoung Chang (INTERSPEECH, 2023)

Improving Small Footprint Few-shot Keyword Spotting with Supervision on Auxiliary Data. - Seunghan Yang; Byeonggeun Kim; Kyuhong Shim; Simyung Chang (CoRR, 2023)

Crayon: Customized On-Device LLM via Instant Adapter Blending and Edge-Server Hybrid Inference. - Jihwan Bang; Juntae Lee; Kyuhong Shim; Seunghan Yang; Simyung Chang (ACL (1), 2024)

Feature Diversification and Adaptation for Federated Domain Generalization. - Seunghan Yang; Seokeon Choi; Hyunsin Park; Sungha Choi; Simyung Chang; Sungrack Yun (ECCV (72), 2024)

Balanced Learning for Multi-Domain Long-Tailed Speaker Recognition. - Janghoon Cho; Sunghyun Park; Hyunsin Park; Hyoungwoo Park; Seunghan Yang; Sungrack Yun (ICASSP, 2024)

Chain-of-Rank: Enhancing Large Language Models for Domain-Specific RAG in Edge Device. - Juntae Lee; Jihwan Bang; Kyuhong Shim; Seunghan Yang; Simyung Chang (NAACL (Findings), 2025)