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Sunil Hwang
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2020 – today
- 2024
- [j1]Junseob Kim, Sunghwan Cho, Sunil Hwang, Wonjin Lee, Yeongyoon Choi:
Enhancing LPI Radar Signal Classification Through Patch-Based Noise Reduction. IEEE Signal Process. Lett. 31: 716-720 (2024) - [c3]Sunil Hwang, Jaehong Yoon, Youngwan Lee, Sung Ju Hwang:
EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens. ICML 2024 - 2023
- [c2]Woongrae Kim, Chulmoon Jung, Seong Nyuh Yoo, Duckhwa Hong, Jeongjin Hwang, Jungmin Yoon, Oh-Yong Jung, Joonwoo Choi, Sanga Hyun, Mankeun Kang, Sangho Lee, Dohong Kim, Sanghyun Ku, Donhyun Choi, Nogeun Joo, Sangwoo Yoon, Junseok Noh, Byeongyong Go, Cheolhoe Kim, Sunil Hwang, Mihyun Hwang, Seol-Min Yi, Hyungmin Kim, Sanghyuk Heo, Yeonsu Jang, Kyoungchul Jang, Shinho Chu, Yoonna Oh, Kwidong Kim, Junghyun Kim, Soohwan Kim, Jeongtae Hwang, Sangil Park, Junphyo Lee, In-Chul Jeong, Joohwan Cho, Jonghwan Kim:
A 1.1V 16Gb DDR5 DRAM with Probabilistic-Aggressor Tracking, Refresh-Management Functionality, Per-Row Hammer Tracking, a Multi-Step Precharge, and Core-Bias Modulation for Security and Reliability Enhancement. ISSCC 2023: 414-415 - 2022
- [i2]Hyunsu Rhee, Dongchan Min, Sunil Hwang, Bruno Andreis, Sung Ju Hwang:
Distortion-Aware Network Pruning and Feature Reuse for Real-time Video Segmentation. CoRR abs/2206.09604 (2022) - [i1]Sunil Hwang, Jaehong Yoon, Youngwan Lee, Sung Ju Hwang:
Efficient Video Representation Learning via Masked Video Modeling with Motion-centric Token Selection. CoRR abs/2211.10636 (2022)
2010 – 2019
- 2018
- [c1]Akos Vertes, Albert-Baskar Arul, Peter Avar, Andrew R. Korte, Hang Li, Peter Nemes, Lida Parvin, Sylwia Stopka, Sunil Hwang, Ziad J. Sahab, Linwen Zhang, Deborah I. Bunin, Merrill Knapp, Andrew Poggio, Mark-Oliver Stehr, Carolyn L. Talcott, Brian M. Davis, Sean R. Dinn, Christine A. Morton, Christopher J. Sevinsky, Maria I. Zavodszky:
Inferring Mechanism of Action of an Unknown Compound from Time Series Omics Data. CMSB 2018: 238-255
Coauthor Index
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last updated on 2024-09-04 01:24 CEST by the dblp team
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