@inproceedings{jang2026token,author={Jang, Jaehyun and Yoon, Eunseop and Yoon, Hee Suk and Eom, SooHwan and Hasegawa-Johnson, Mark A. and Yoo, Chang D.},booktitle={European Conference on Computer Vision},month=sep,title={Token-level Response-visual Attention Guidance for Multimodal LLMs Knowledge Distillation},year={2026}}
@inproceedings{eom2025transcript,title={Transcript-Free Flow-Matching Text-to-Speech via Speech Feature Conditioning},author={Eom, SooHwan and Yoon, Hee Suk and Yoon, Eunseop and Hasegawa-Johnson, Mark and Yoo, Chang D.},booktitle={Proceedings of INTERSPEECH},year={2026},archiveprefix={arXiv},primaryclass={eess.AS}}
@inproceedings{yoon2026decomposed,title={Decomposed On-Policy Distillation for Vision-Language Reasoning: Steering Gradients for Visual Grounding},author={Yoon, Hee Suk and Yoon, Eunseop and Jang, Jaehyun and Eom, SooHwan and Hong, Ji Woo and Hasegawa-Johnson, Mark and Dai, Qi and Luo, Chong and Yoo, Chang D.},booktitle={Proceedings of the International Conference on Machine Learning (ICML)},year={2026},doi={10.48550/arXiv.2606.00564},url={https://arxiv.org/abs/2606.00564},archiveprefix={arXiv},primaryclass={cs.CV}}
@inproceedings{yoon2026pdcr,title={{PDCR}: Perception-Decomposed Confidence Reward for Vision-Language Reasoning},author={Yoon, Hee Suk and Yoon, Eunseop and Hong, Ji Woo and Eom, SooHwan and Koo, Gwanhyeong and Hasegawa-Johnson, Mark and Dai, Qi and Luo, Chong and Yoo, Chang D.},booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},month=jun,year={2026},pages={18881--18891},url={https://openaccess.thecvf.com/content/CVPR2026/html/Yoon_PDCR_Perception-Decomposed_Confidence_Reward_for_Vision-Language_Reasoning_CVPR_2026_paper.html},archiveprefix={arXiv},primaryclass={cs.CL}}
@article{hong2026highfidelity,title={High-Fidelity Text-to-Image Generation from Pre-Trained Vision-Language Models via Distribution-Conditioned Diffusion Decoding},author={Hong, Ji Woo and Yoon, Hee Suk and Koo, Gwanhyeong and Yoon, Eunseop and Eom, SooHwan and Dai, Qi and Luo, Chong and Yoo, Chang D.},journal={CoRR},volume={abs/2603.13389},year={2026},doi={10.48550/arXiv.2603.13389},url={https://arxiv.org/abs/2603.13389},archiveprefix={arXiv},primaryclass={cs.CV}}
Wearable Blood Pressure Sensors for Cardiovascular Monitoring and Machine Learning Algorithms for Blood Pressure Estimation
Seongwook Min, Jaehun An, Jae Hee Lee, Ji Hoon Kim, Daniel J. Joe, Soo Hwan Eom, Chang D. Yoo, Hyo Suk Ahn, Jin Young Hwang, Sheng Xu, John A. Rogers, and Keon Jae Lee
@article{min2025wearable,title={Wearable Blood Pressure Sensors for Cardiovascular Monitoring and Machine Learning Algorithms for Blood Pressure Estimation},author={Min, Seongwook and An, Jaehun and Lee, Jae Hee and Kim, Ji Hoon and Joe, Daniel J. and Eom, Soo Hwan and Yoo, Chang D. and Ahn, Hyo Suk and Hwang, Jin Young and Xu, Sheng and Rogers, John A. and Lee, Keon Jae},journal={Nature Reviews Cardiology},volume={22},number={9},pages={629--648},year={2025},month=sep,doi={10.1038/s41569-025-01127-0},url={https://doi.org/10.1038/s41569-025-01127-0}}
@misc{yoon2025pacr,title={{PACR}: Progressively Ascending Confidence Reward for {LLM} Reasoning},author={Yoon, Eunseop and Yoon, Hee Suk and Jang, Jaehyun and Eom, SooHwan and Dai, Qi and Luo, Chong and Hasegawa-Johnson, Mark A. and Yoo, Chang D.},year={2025},archiveprefix={arXiv},primaryclass={cs.CL},doi={10.48550/arXiv.2510.22255},url={https://arxiv.org/abs/2510.22255}}
@inproceedings{eom2025siamctc,title={{SiamCTC}: Learning Speech Representations through Monotonic Temporal Alignment},author={Eom, SooHwan and Hasegawa-Johnson, Mark and Yoo, Chang D.},booktitle={Proceedings of INTERSPEECH},year={2025},doi={10.21437/Interspeech.2025-2746},url={https://doi.org/10.21437/Interspeech.2025-2746},archiveprefix={arXiv},primaryclass={eess.AS}}
Preprint
Gated LoRA: Dual-Purpose Projections for Parameter-Efficient Mini-Expert Fine-Tuning
@misc{eom2025gated,title={Gated {LoRA}: Dual-Purpose Projections for Parameter-Efficient Mini-Expert Fine-Tuning},author={Eom, SooHwan and Yoon, Hee Suk and Yoon, Eunseop and Hasegawa-Johnson, Mark A. and Yoo, Chang D.},year={2025},note={Manuscript, OpenReview},url={https://openreview.net/forum?id=ZiBDVotA7g}}
@inproceedings{eom2024query,title={Query-based Cross-Modal Projector Bolstering Mamba Multimodal {LLM}},author={Eom, SooHwan and Shim, Jay and Koo, Gwanhyeong and Na, Haebin and Hasegawa-Johnson, Mark A. and Kim, Sungwoong and Yoo, Chang D.},booktitle={Findings of the Association for Computational Linguistics: EMNLP 2024},month=nov,year={2024},address={Miami, Florida, USA},publisher={Association for Computational Linguistics},pages={14158--14167},doi={10.18653/v1/2024.findings-emnlp.827},url={https://aclanthology.org/2024.findings-emnlp.827/}}
@inproceedings{yoon2024tlcr,title={{TLCR}: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback},author={Yoon, Eunseop and Yoon, Hee Suk and Eom, SooHwan and Han, Gunsoo and Nam, Daniel and Jo, Daejin and On, Kyoung-Woon and Hasegawa-Johnson, Mark and Kim, Sungwoong and Yoo, Chang D.},booktitle={Findings of the Association for Computational Linguistics: ACL 2024},series={Findings of ACL},pages={14969--14981},publisher={Association for Computational Linguistics},year={2024},doi={10.18653/v1/2024.findings-acl.889},url={https://aclanthology.org/2024.findings-acl.889/}}
@inproceedings{eom2024adamer,title={{AdaMER-CTC}: Connectionist Temporal Classification with Adaptive Maximum Entropy Regularization for Automatic Speech Recognition},author={Eom, SooHwan and Yoon, Eunseop and Yoon, Hee Suk and Kim, Chanwoo and Hasegawa-Johnson, Mark and Yoo, Chang D.},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},pages={12707--12711},publisher={IEEE},year={2024},doi={10.1109/ICASSP48485.2024.10446721},url={https://doi.org/10.1109/ICASSP48485.2024.10446721}}
@article{yoon2024causal,title={Causal Localization Network for Radar Human Localization with Micro-Doppler Signature},author={Yoon, Sunjae and Koo, Gwanhyeong and Shim, Jun Yeop and Eom, SooHwan and Hong, Ji Woo and Yoo, Chang D.},journal={IEEE Access},volume={12},pages={38275--38286},year={2024},doi={10.1109/ACCESS.2024.3352022},url={https://doi.org/10.1109/ACCESS.2024.3352022}}
@inproceedings{ton2024zeroshot,title={Zero-Shot Dual-Path Integration Framework for Open-Vocabulary 3D Instance Segmentation},author={Ton, Tri and Hong, Ji Woo and Eom, Soohwan and Shim, Jun Yeop and Kim, Junyeong and Yoo, Chang D.},booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},month=jun,year={2024},pages={7598--7607},url={https://openaccess.thecvf.com/content/CVPR2024W/OpenSUN3D/html/Ton_Zero-Shot_Dual-Path_Integration_Framework_for_Open-Vocabulary_3D_Instance_Segmentation_CVPRW_2024_paper.html}}
Preprint
SQuBa: Speech Mamba Language Model with Querying-Attention for Efficient Summarization
@misc{eom2024squba,title={{SQuBa}: Speech Mamba Language Model with Querying-Attention for Efficient Summarization},author={Eom, SooHwan and Shim, Jay and Yoon, Eunseop and Yoon, Hee Suk and Ko, Hyeonmok and Hasegawa-Johnson, Mark A. and Yoo, Chang D.},year={2024},note={Manuscript, OpenReview},url={https://openreview.net/forum?id=zOMa82W1HV}}
IEIE
Spatial Adaptive Kernel Network for Enhanced Oriented Ship Detection in Synthetic Aperture Radar Imagery
Gwanhyeong Koo, Sunjae Yoon, Donghoon Lee, Soo Hwan Eom, JongSik Ahn, Tae-Young Lee, and Chang D. Yoo
@article{koo2024spatial,title={Spatial Adaptive Kernel Network for Enhanced Oriented Ship Detection in Synthetic Aperture Radar Imagery},author={Koo, Gwanhyeong and Yoon, Sunjae and Lee, Donghoon and Eom, Soo Hwan and Ahn, JongSik and Lee, Tae-Young and Yoo, Chang D.},journal={전자공학회논문지},pages={78--91},year={2024},}
@inproceedings{yoon2023counterfactual,title={Counterfactual Two-Stage Debiasing for Video Corpus Moment Retrieval},author={Yoon, Sunjae and Hong, Ji Woo and Eom, SooHwan and Yoon, Hee Suk and Yoon, Eunseop and Kim, Daehyeok and Kim, Junyeong and Kim, Chanwoo and Yoo, Chang D.},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},pages={1--5},publisher={IEEE},year={2023},doi={10.1109/ICASSP49357.2023.10095182},url={https://doi.org/10.1109/ICASSP49357.2023.10095182}}
Mitigating the Exposure Bias in Sentence-Level Grapheme-to-Phoneme (G2P) Transduction
Eunseop Yoon*, Hee Suk Yoon*, Dhananjaya Gowda, Soo Hwan Eom, Daehyeok Kim, John Harvill, Heting Gao, Mark Hasegawa-Johnson, Chanwoo Kim, and Chang D. Yoo
@inproceedings{yoon2023mitigating,title={Mitigating the Exposure Bias in Sentence-Level Grapheme-to-Phoneme ({G2P}) Transduction},author={Yoon, Eunseop and Yoon, Hee Suk and Gowda, Dhananjaya and Eom, Soo Hwan and Kim, Daehyeok and Harvill, John and Gao, Heting and Hasegawa-Johnson, Mark and Kim, Chanwoo and Yoo, Chang D.},booktitle={Proceedings of INTERSPEECH},pages={2028--2032},year={2023},doi={10.21437/Interspeech.2023-2336},url={https://doi.org/10.21437/Interspeech.2023-2336}}