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2020 – today
- 2024
[c17]Jihwan Bang, Juntae Lee, Kyuhong Shim, Seunghan Yang, Simyung Chang:
Crayon: Customized On-Device LLM via Instant Adapter Blending and Edge-Server Hybrid Inference. ACL (1) 2024: 3720-3731- [c16]Seunghan Yang
, Seokeon Choi, Hyunsin Park, Sungha Choi, Simyung Chang, Sungrack Yun:
Feature Diversification and Adaptation for Federated Domain Generalization. ECCV (72) 2024: 52-70 - [c15]Janghoon Cho, Sunghyun Park, Hyunsin Park, Hyoungwoo Park, Seunghan Yang, Sungrack Yun:
Balanced Learning for Multi-Domain Long-Tailed Speaker Recognition. ICASSP 2024: 7465-7469 - [i19]Jihwan Bang, Juntae Lee, Kyuhong Shim, Seunghan Yang, Simyung Chang:
Crayon: Customized On-Device LLM via Instant Adapter Blending and Edge-Server Hybrid Inference. CoRR abs/2406.07007 (2024) - [i18]Seunghan Yang, Seokeon Choi, Hyunsin Park, Sungha Choi, Simyung Chang, Sungrack Yun:
Feature Diversification and Adaptation for Federated Domain Generalization. CoRR abs/2407.08245 (2024) - 2023
- [c14]Taekyung Kim, Debasmit Das, Seokeon Choi, Minki Jeong, Seunghan Yang, Sungrack Yun, Changick Kim:
Neural Transformation Network to Generate Diverse Views for Contrastive Learning. CVPR Workshops 2023: 4901-4911 - [c13]Seokeon Choi, Debasmit Das, Sungha Choi, Seunghan Yang, Hyunsin Park, Sungrack Yun:
Progressive Random Convolutions for Single Domain Generalization. CVPR 2023: 10312-10322 - [c12]Byeonggeun Kim, Jun-Tae Lee, Seunghan Yang, Simyung Chang:
Scalable Weight Reparametrization for Efficient Transfer Learning. ICASSP 2023: 1-5 - [c11]Sunghyun Park, Seunghan Yang, Jaegul Choo, Sungrack Yun:
Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts. ICCV 2023: 16375-16385 - [c10]Seunghan Yang, Byeonggeun Kim, Kyuhong Shim, Simyoung Chang:
Improving Small Footprint Few-shot Keyword Spotting with Supervision on Auxiliary Data. INTERSPEECH 2023: 1633-1637 - [i17]Byeonggeun Kim, Jun-Tae Lee, Seunghan Yang, Simyung Chang:
Scalable Weight Reparametrization for Efficient Transfer Learning. CoRR abs/2302.13435 (2023) - [i16]Seokeon Choi, Debasmit Das, Sungha Choi, Seunghan Yang, Hyunsin Park, Sungrack Yun:
Progressive Random Convolutions for Single Domain Generalization. CoRR abs/2304.00424 (2023) - [i15]Sunghyun Park, Seunghan Yang, Jaegul Choo, Sungrack Yun:
Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts. CoRR abs/2308.08810 (2023) - [i14]Seunghan Yang, Byeonggeun Kim, Kyuhong Shim, Simyung Chang:
Improving Small Footprint Few-shot Keyword Spotting with Supervision on Auxiliary Data. CoRR abs/2309.00647 (2023) - 2022
- [j1]Seunghan Yang, Hyoungseob Park, Junyoung Byun, Changick Kim:
Robust Federated Learning With Noisy Labels. IEEE Intell. Syst. 37(2): 35-43 (2022) - [c9]Sungha Choi, Seunghan Yang, Seokeon Choi, Sungrack Yun:
Improving Test-Time Adaptation Via Shift-Agnostic Weight Regularization and Nearest Source Prototypes. ECCV (33) 2022: 440-458 - [c8]Seunghan Yang, Debasmit Das, Janghoon Cho, Hyoungwoo Park, Sungrack Yun:
Domain Agnostic Few-shot Learning for Speaker Verification. INTERSPEECH 2022: 595-599 - [c7]Seunghan Yang, Byeonggeun Kim, Inseop Chung, Simyung Chang:
Personalized Keyword Spotting through Multi-task Learning. INTERSPEECH 2022: 1881-1885 - [c6]Byeonggeun Kim, Seunghan Yang, Jangho Kim, Hyunsin Park, Juntae Lee, Simyung Chang:
Domain Generalization with Relaxed Instance Frequency-wise Normalization for Multi-device Acoustic Scene Classification. INTERSPEECH 2022: 2393-2397 - [c5]Byeonggeun Kim, Seunghan Yang, Inseop Chung, Simyung Chang:
Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting. INTERSPEECH 2022: 4621-4625 - [i13]Byeonggeun Kim, Seunghan Yang, Jangho Kim, Hyunsin Park, Juntae Lee, Simyung Chang:
Domain Generalization with Relaxed Instance Frequency-wise Normalization for Multi-device Acoustic Scene Classification. CoRR abs/2206.12513 (2022) - [i12]Byeonggeun Kim, Seunghan Yang, Inseop Chung, Simyung Chang:
Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting. CoRR abs/2206.13691 (2022) - [i11]Seunghan Yang, Debasmit Das, Janghoon Cho, Hyoungwoo Park, Sungrack Yun:
Domain Agnostic Few-shot Learning for Speaker Verification. CoRR abs/2206.13700 (2022) - [i10]Seunghan Yang, Byeonggeun Kim, Inseop Chung, Simyung Chang:
Personalized Keyword Spotting through Multi-task Learning. CoRR abs/2206.13708 (2022) - [i9]Byeonggeun Kim, Seunghan Yang, Jangho Kim, Simyung Chang:
QTI Submission to DCASE 2021: residual normalization for device-imbalanced acoustic scene classification with efficient design. CoRR abs/2206.13909 (2022) - [i8]Sungha Choi, Seunghan Yang, Seokeon Choi, Sungrack Yun:
Improving Test-Time Adaptation via Shift-agnostic Weight Regularization and Nearest Source Prototypes. CoRR abs/2207.11707 (2022) - 2021
- [c4]Byeonggeun Kim, Seunghan Yang, Jangho Kim, Simyung Chang:
Domain Generalization on Efficient Acoustic Scene Classification Using Residual Normalization. DCASE 2021: 21-25 - [i7]Byeonggeun Kim, Seunghan Yang, Jangho Kim, Simyung Chang:
Domain Generalization on Efficient Acoustic Scene Classification using Residual Normalization. CoRR abs/2111.06531 (2021) - [i6]Seunghan Yang, Debasmit Das, Simyung Chang, Sungrack Yun, Fatih Porikli:
Distribution Estimation to Automate Transformation Policies for Self-Supervision. CoRR abs/2111.12265 (2021) - 2020
- [c3]Dongki Jung, Seunghan Yang, Jaehoon Choi, Changick Kim:
Arbitrary Style Transfer Using Graph Instance Normalization. ICIP 2020: 1596-1600 - [c2]Seunghan Yang, Seungjun Jung, Heekwang Kang, Changick Kim:
The Korean Sign Language Dataset for Action Recognition. MMM (1) 2020: 532-542 - [c1]Seunghan Yang, Yoonhyung Kim, Youngeun Kim, Changick Kim:
Combinational Class Activation Maps for Weakly Supervised Object Localization. WACV 2020: 2930-2938 - [i5]Seunghan Yang, Youngeun Kim, Dongki Jung, Changick Kim:
Partial Domain Adaptation Using Graph Convolutional Networks. CoRR abs/2005.07858 (2020) - [i4]Youngeun Kim, Sungeun Hong, Seunghan Yang, Sungil Kang, Yunho Jeon, Jiwon Kim:
Associative Partial Domain Adaptation. CoRR abs/2008.03111 (2020) - [i3]Dongki Jung, Seunghan Yang, Jaehoon Choi, Changick Kim:
Arbitrary Style Transfer using Graph Instance Normalization. CoRR abs/2010.02560 (2020) - [i2]Seunghan Yang, Hyoungseob Park, Junyoung Byun, Changick Kim:
Robust Federated Learning with Noisy Labels. CoRR abs/2012.01700 (2020)
2010 – 2019
- 2019
- [i1]Seunghan Yang, Yoonhyung Kim, Youngeun Kim, Changick Kim:
Combinational Class Activation Maps for Weakly Supervised Object Localization. CoRR abs/1910.05518 (2019)
Coauthor Index
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