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2020 – today
- 2025
[j2]Hyunwoo Oh
, Seunghee Choi, Jinho Baek, Dong-Jin Kim, Junegak Joung:
FlawMatch: Conditional defect image generation via flow matching for improved surface defect classification. Adv. Eng. Informatics 68: 103704 (2025)- [c11]SeungJu Cha, Kwanyoung Lee, Ye-Chan Kim, Hyunwoo Oh, Dong-Jin Kim:
VerbDiff: Text-Only Diffusion Models with Enhanced Interaction Awareness. CVPR 2025: 8041-8050 - [c10]SungHeon Jeong, Hamza Errahmouni Barkam, Hyunwoo Oh, Hanning Chen, Tamoghno Das, Zhen Ye, Mohsen Imani:
iTaskSense: Task-Oriented Object Detection in Resource-Constrained Environments. DAC 2025: 1-7 - [c9]Hanning Chen, Yang Ni, Wenjun Huang, Hyunwoo Oh, Tamoghno Das, Fei Wen, Mohsen Imani:
Revisiting Reconfigurable Acceleration of Vision Transformer with Patch Pruning. ISLPED 2025: 1-7 - [c8]Hanning Chen, Yang Ni, Wenjun Huang, Hyunwoo Oh, Yezi Liu, Tamoghno Das, Mohsen Imani:
LVLM_CSP: Accelerating Large Vision Language Models via Clustering, Scattering, and Pruning for Reasoning Segmentation. ACM Multimedia 2025: 3932-3941 - [c7]Hyunwoo Oh, SeungJu Cha, Kwanyoung Lee, Si-Woo Kim, Dong-Jin Kim:
CatchPhrase: EXPrompt-Guided Encoder Adaptation for Audio-to-Image Generation. ACM Multimedia 2025: 9773-9782 - [i14]SeungJu Cha, Kwanyoung Lee, Ye-Chan Kim, Hyunwoo Oh, Dong-Jin Kim:
VerbDiff: Text-Only Diffusion Models with Enhanced Interaction Awareness. CoRR abs/2503.16406 (2025) - [i13]Hanning Chen, Yang Ni, Wenjun Huang, Hyunwoo Oh, Yezi Liu, Tamoghno Das, Mohsen Imani:
LVLM_CSP: Accelerating Large Vision Language Models via Clustering, Scattering, and Pruning for Reasoning Segmentation. CoRR abs/2504.10854 (2025) - [i12]Hyunwoo Oh:
Training neural control variates using correlated configurations. CoRR abs/2505.07719 (2025) - [i11]Sanggeon Yun, Ryozo Masukawa, Hyunwoo Oh, Nathaniel D. Bastian, Mohsen Imani:
A Few Large Shifts: Layer-Inconsistency Based Minimal Overhead Adversarial Example Detection. CoRR abs/2505.12586 (2025) - [i10]Hyunwoo Oh, SeungJu Cha, Kwanyoung Lee, Si-Woo Kim, Dong-Jin Kim:
CatchPhrase: EXPrompt-Guided Encoder Adaptation for Audio-to-Image Generation. CoRR abs/2507.18750 (2025) - [i9]Donggyu Lee, Sungwon Park, Yerin Hwang, Hyoshin Kim, Hyunwoo Oh, Jungwon Kim, Meeyoung Cha, Sangyoon Park, Jihee Kim:
Benchmarking LLM Causal Reasoning with Scientifically Validated Relationships. CoRR abs/2510.07231 (2025) - [i8]Rajat Bhattacharjya, Woohyeok Park, Arnab Sarkar, Hyunwoo Oh, Mohsen Imani, Nikil D. Dutt:
HYPERDOA: Robust and Efficient DoA Estimation using Hyperdimensional Computing. CoRR abs/2510.10718 (2025) - [i7]Sungho Koh, SeungJu Cha, Hyunwoo Oh, Kwanyoung Lee, Dong-Jin Kim:
ScaleDiff: Higher-Resolution Image Synthesis via Efficient and Model-Agnostic Diffusion. CoRR abs/2510.25818 (2025) - [i6]Sanggeon Yun, Hyunwoo Oh, Ryozo Masukawa, Mohsen Imani:
DecoHD: Decomposed Hyperdimensional Classification under Extreme Memory Budgets. CoRR abs/2511.03911 (2025) - [i5]Sanggeon Yun, Hyunwoo Oh, Ryozo Masukawa, Pietro Mercati, Nathaniel D. Bastian, Mohsen Imani:
LogHD: Robust Compression of Hyperdimensional Classifiers via Logarithmic Class-Axis Reduction. CoRR abs/2511.03938 (2025) - [i4]Tamoghno Das, Khanh Phan Vu, Hanning Chen, Hyunwoo Oh, Mohsen Imani:
ASTER: Attention-based Spiking Transformer Engine for Event-driven Reasoning. CoRR abs/2511.06770 (2025) - [i3]Hyunwoo Oh, KyungIn Nam, Rajat Bhattacharjya, Hanning Chen, Tamoghno Das, Sanggeon Yun, Suyeon Jang, Andrew Ding, Nikil D. Dutt, Mohsen Imani:
T-SAR: A Full-Stack Co-design for CPU-Only Ternary LLM Inference via In-Place SIMD ALU Reorganization. CoRR abs/2511.13676 (2025) - [i2]Hyunwoo Oh, Hanning Chen, Sanggeon Yun, Yang Ni, Wenjun Huang, Tamoghno Das, Suyeon Jang, Mohsen Imani:
QUILL: An Algorithm-Architecture Co-Design for Cache-Local Deformable Attention. CoRR abs/2511.13679 (2025) - [i1]Rajat Bhattacharjya, Sing-Yao Wu, Hyunwoo Oh, Chaewon Nam, Suyeon Koo, Mohsen Imani, Elaheh Bozorgzadeh, Nikil D. Dutt:
AVERY: Adaptive VLM Split Computing through Embodied Self-Awareness for Efficient Disaster Response Systems. CoRR abs/2511.18151 (2025) - 2024
- [c6]Hyunjong Kim, Suyoung Chi, Hyunwoo Oh:
Predicting and Optimizing Shrinkage Rates in Zirconia Block Production Through Machine Learning. ICTC 2024: 221-222 - 2023
- [c5]Hyunjong Kim, Hyunwoo Oh, Suyoung Chi:
A Study on the Material Properties and Process Conditions Reasoning using Regression and Classification of Machine Learning. ICTC 2023: 1298-1302 - 2020
- [j1]In-Chul Yoo, Keonnyeong Lee, Seong-Gyun Leem, Hyunwoo Oh, BongGu Ko, Dongsuk Yook:
Speaker Anonymization for Personal Information Protection Using Voice Conversion Techniques. IEEE Access 8: 198637-198645 (2020)
2010 – 2019
- 2019
- [c4]Seungbae Im, Hyebeen Kim, Chanhee Lee, Hyunwoo Oh:
Implement of Sleep Monitoring System Using UWB, PPG. ICTC 2019: 1390-1393 - 2018
- [c3]Teguh Budianto, Hyunwoo Oh, Takehito Utsuro:
Learning to Identify Rush Strategies in StarCraft. ICEC 2018: 90-102 - [c2]Hyunwoo Oh, Tomoyuki Kaneko:
Deep Recurrent Q-Network with Truncated History. TAAI 2018: 34-39 - 2017
- [c1]Teguh Budianto, Hyunwoo Oh, Yi Ding, Zi Long, Takehito Utsuro:
Identifying Rush Strategies Employed in StarCraft II Using Support Vector Machines. ICEC 2017: 357-361
Coauthor Index
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