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Minkyoung Cho
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2020 – today
- 2024
- [c9]Noah T. Curran, Minkyoung Cho, Ryan Feng, Liangkai Liu, Brian Jay Tang, Pedram MohajerAnsari, Alkim Domeke, Mert D. Pesé, Kang G. Shin:
Achieving the Safety and Security of the End-to-End AV Pipeline. CSCS 2024: 13-24 - [i6]Noah T. Curran, Minkyoung Cho, Ryan Feng, Liangkai Liu, Brian Jay Tang, Pedram MohajerAnsari, Alkim Domeke, Mert D. Pesé, Kang G. Shin:
Achieving the Safety and Security of the End-to-End AV Pipeline. CoRR abs/2409.03899 (2024) - [i5]Minkyoung Cho, Yulong Cao, Jiachen Sun, Qingzhao Zhang, Marco Pavone, Jeong Joon Park, Heng Yang, Z. Morley Mao:
Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion. CoRR abs/2410.12592 (2024) - 2023
- [j4]Seoungbeom Heo, Dae-Cheol Kang, Hyeounji Jang, Hyeock-Jin Lee, Minkyoung Cho, Jik-Soo Kim:
Comprehensive techniques for multi-tenant deep learning framework on a Hadoop YARN cluster. Clust. Comput. 26(5): 2851-2864 (2023) - [c8]Minkyoung Cho, Yulong Cao, Zixiang Zhou, Zhuoqing Morley Mao:
ADoPT: LiDAR Spoofing Attack Detection Based on Point-Level Temporal Consistency. BMVC 2023: 486-496 - [i4]Minkyoung Cho, Kang G. Shin:
DynaMIX: Resource Optimization for DNN-Based Real-Time Applications on a Multi-Tasking System. CoRR abs/2302.01568 (2023) - [i3]Minkyoung Cho, Yulong Cao, Zixiang Zhou, Z. Morley Mao:
ADoPT: LiDAR Spoofing Attack Detection Based on Point-Level Temporal Consistency. CoRR abs/2310.14504 (2023) - 2021
- [c7]Dae-Cheol Kang, Seoungbeom Heo, Hyeounji Jang, Hyeock-Jin Lee, Minkyoung Cho, Jik-Soo Kim:
MeLoN: Distributed Deep Learning meets the Big Data Platform. ACSOS-C 2021: 32-37 - [c6]Donghyun Lee, Minkyoung Cho, Seungwon Lee, Joonho Song, Changkyu Choi:
A Novel Sensitivity Metric For Mixed-Precision Quantization With Synthetic Data Generation. ICIP 2021: 1294-1298 - [i2]Donghyun Lee, Minkyoung Cho, Seungwon Lee, Joonho Song, Changkyu Choi:
Data-free mixed-precision quantization using novel sensitivity metric. CoRR abs/2103.10051 (2021) - 2020
- [j3]Minhae Jang, Yeonseung Ryu, Jik-Soo Kim, Minkyoung Cho:
Against Insider Threats with Hybrid Anomaly Detection with Local-Feature Autoencoder and Global Statistics (LAGS). IEICE Trans. Inf. Syst. 103-D(4): 888-891 (2020) - [j2]Minkyoung Cho, Jik-Soo Kim, Jongho Shin, Incheol Shin:
Mal2d: 2d Based Deep Learning Model for Malware Detection Using Black and White Binary Image. IEICE Trans. Inf. Syst. 103-D(4): 896-900 (2020)
2010 – 2019
- 2016
- [c5]Dahee Jeong, Minkyoung Cho, Omprakash Gnawali, HyungJune Lee:
Proactive patrol dispatch surveillance system by inferring mobile trajectories of multiple intruders using binary proximity sensors. INFOCOM 2016: 1-9 - [c4]Minkyoung Cho, Younggi Kim, Younghee Lee:
Contextual Relationship-based Activity Segmentation on an Event Stream in the IoT Environment with Multi-user Activities. M4IoT@Middleware 2016: 7-12 - [i1]Minkyoung Cho, Younggi Kim, Younghee Lee:
Contextual Relationship-based Activity Segmentation on an Event Stream in the IoT Environment with Multi-user Activities. CoRR abs/1609.06024 (2016) - 2010
- [b1]Minkyoung Cho:
Approximation Algorithms for Point Pattern Matching and Searchi NG. University of Maryland, College Park, MD, USA, 2010
2000 – 2009
- 2009
- [c3]Minkyoung Cho, David M. Mount, Eunhui Park:
Maintaining Nets and Net Trees under Incremental Motion. ISAAC 2009: 1134-1143 - 2008
- [j1]Minkyoung Cho, David M. Mount:
Improved Approximation Bounds for Planar Point Pattern Matching. Algorithmica 50(2): 175-207 (2008) - [c2]Minkyoung Cho, David M. Mount:
Embedding and similarity search for point sets under translation. SCG 2008: 320-327 - 2005
- [c1]Minkyoung Cho, David M. Mount:
Improved Approximation Bounds for Planar Point Pattern Matching. WADS 2005: 432-443
Coauthor Index
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