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ORCIDSangyoon Oh 0001
Oh Sangyoon 0001
Person information
- affiliation: Ajou University, Department of Artificial Intelligence, School of Information and Computer Engineering, Korea
Other persons with the same name
- Sangyoon Oh — disambiguation page
- Sangyoon Oh 0002 — Samsung Semiconductors, Inc.
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2020 – today
- 2024
[i6]Daegun Yoon, Sangyoon Oh:
Preserving Near-Optimal Gradient Sparsification Cost for Scalable Distributed Deep Learning. CoRR abs/2402.13781 (2024)- 2023
- [j33]Sangho Yeo, Minho Bae, Minjoong Jeong, Oh-Kyoung Kwon, Sangyoon Oh
:
Crossover-SGD: A gossip-based communication in distributed deep learning for alleviating large mini-batch problem and enhancing scalability. Concurr. Comput. Pract. Exp. 35(15) (2023) - [j32]Daegun Yoon, Minjoong Jeong, Sangyoon Oh:
WAVE: designing a heuristics-based three-way breadth-first search on GPUs. J. Supercomput. 79(6): 6889-6917 (2023) - [j31]Daegun Yoon, Minjoong Jeong, Sangyoon Oh:
SAGE: toward on-the-fly gradient compression ratio scaling. J. Supercomput. 79(10): 11387-11409 (2023) - [j30]Shujuan Tian, Chi Chang, Saiqin Long, Sangyoon Oh, Zhetao Li, Jun Long:
User Preference-Based Hierarchical Offloading for Collaborative Cloud-Edge Computing. IEEE Trans. Serv. Comput. 16(1): 684-697 (2023) - [c29]Daegun Yoon, Sangyoon Oh:
MiCRO: Near-Zero Cost Gradient Sparsification for Scaling and Accelerating Distributed DNN Training. HiPC 2023: 87-96 - [c28]Miri Yu, Oh-Kyoung Kwon, Sangyoon Oh:
Addressing Client Heterogeneity in Synchronous Federated Learning: The CHAFL Approach. ICPADS 2023: 2804-2805 - [c27]Daegun Yoon, Sangyoon Oh:
DEFT: Exploiting Gradient Norm Difference between Model Layers for Scalable Gradient Sparsification. ICPP 2023: 746-755 - [c26]Seungjun Lee, Miri Yu, Daegun Yoon, Sangyoon Oh:
Can hierarchical client clustering mitigate the data heterogeneity effect in federated learning? IPDPS Workshops 2023: 799-808 - [i5]Daegun Yoon, Sangyoon Oh:
DEFT: Exploiting Gradient Norm Difference between Model Layers for Scalable Gradient Sparsification. CoRR abs/2307.03500 (2023) - [i4]Daegun Yoon, Sangyoon Oh:
MiCRO: Near-Zero Cost Gradient Sparsification for Scaling and Accelerating Distributed DNN Training. CoRR abs/2310.00967 (2023) - 2022
- [j29]Zhetao Li, Ziwen Chen, Wei-Shi Zheng, Sangyoon Oh, Kien Nguyen:
AR-CNN: an attention ranking network for learning urban perception. Sci. China Inf. Sci. 65(1) (2022) - [j28]Juwon Park, Daegun Yoon, Sangho Yeo, Sangyoon Oh:
AMBLE: Adjusting mini-batch and local epoch for federated learning with heterogeneous devices. J. Parallel Distributed Comput. 170: 13-23 (2022) - [j27]Daegun Yoon, Sangyoon Oh:
SURF: Direction-Optimizing Breadth-First Search Using Workload State on GPUs. Sensors 22(13): 4899 (2022) - [c25]Seungjun Lee, Minjoong Jeong, Sangyoon Oh:
Is Ant Colony System better than FFD for VM placement in a heterogeneous cluster? IC2E 2022: 277-278 - [e2]Ricardo Chaves, Dora B. Heras, Aleksandar Ilic, Didem Unat, Rosa M. Badia, Andrea Bracciali, Patrick Diehl, Anshu Dubey, Oh Sangyoon, Stephen L. Scott, Laura Ricci:
Euro-Par 2021: Parallel Processing Workshops - Euro-Par 2021 International Workshops, Lisbon, Portugal, August 30-31, 2021, Revised Selected Papers. Lecture Notes in Computer Science 13098, Springer 2022, ISBN 978-3-031-06155-4 [contents] - [i3]Daegun Yoon, Sangyoon Oh:
Empirical Analysis on Top-k Gradient Sparsification for Distributed Deep Learning in a Supercomputing Environment. CoRR abs/2209.08497 (2022) - 2021
- [j26]Shujuan Tian, Xianghong Deng, Pengpeng Chen, Tingrui Pei, Sangyoon Oh, Weiping Xue:
A dynamic task offloading algorithm based on greedy matching in vehicle network. Ad Hoc Networks 123: 102639 (2021) - [j25]Minho Bae, Sangho Yeo, Gyudong Park, Sangyoon Oh:
Novel data-placement scheme for improving the data locality of Hadoop in heterogeneous environments. Concurr. Comput. Pract. Exp. 33(18) (2021) - [j24]Sangyoon Oh:
Parallel Programming Models in High-Performance Cloud (ParaMo 2019). Concurr. Comput. Pract. Exp. 33(18) (2021) - [j23]Daegun Yoon, Gyudong Park, Sangyoon Oh:
Exploring a system architecture of content-based publish/subscribe system for efficient on-the-fly data dissemination. Concurr. Comput. Pract. Exp. 33(18) (2021) - [j22]Seungjun Lee, Daegun Yoon, Sangho Yeo, Sangyoon Oh:
Mitigating Cold Start Problem in Serverless Computing with Function Fusion. Sensors 21(24): 8416 (2021) - [j21]Jiang Zhu, Lizan Wang, Guoqi Xie, Tingrui Pei, Sangyoon Oh, Zhetao Li:
A low redundancy and high time efficiency large-scale task assignment strategy for heterogeneous service-oriented cloud computing systems. J. Supercomput. 77(4): 3450-3483 (2021) - [j20]Daegun Yoon, Zhetao Li, Sangyoon Oh:
Balanced content space partitioning for pub/sub: a study on impact of varying partitioning granularity. J. Supercomput. 77(12): 13676-13702 (2021) - [j19]Yanchun Li, Jianglian Cao, Zhetao Li, Sangyoon Oh, Nobuyoshi Komuro:
Lightweight Single Image Super-resolution with Dense Connection Distillation Network. ACM Trans. Multim. Comput. Commun. Appl. 17(1s): 9:1-9:17 (2021) - [j18]Sangho Yeo, Sangyoon Oh, Min Su Lee:
Accelerated deep reinforcement learning with efficient demonstration utilization techniques. World Wide Web 24(4): 1275-1297 (2021) - 2020
- [j17]Minho Bae, Minjoong Jeong, Sangyoon Oh:
Label Propagation-Based Parallel Graph Partitioning for Large-Scale Graph Data. IEEE Access 8: 72801-72813 (2020) - [j16]Bo Wan, Jiale Dang, Zhetao Li, Hongfang Gong, Feng Zhang, Sangyoon Oh:
Modeling Analysis and Cost-Performance Ratio Optimization of Virtual Machine Scheduling in Cloud Computing. IEEE Trans. Parallel Distributed Syst. 31(7): 1518-1532 (2020) - [c24]Daegun Yoon, Gyudong Park, Sangyoon Oh:
CPartition: a Correlation-Based Space Partitioning for Content-Based Publish/Subscribe Systems with Skewed Workload. BigComp 2020: 377-384 - [c23]Saiqin Long, Zhetao Li, Zihao Liu, Qingyong Deng, Sangyoon Oh, Nobuyoshi Komuro:
A similarity clustering-based deduplication strategy in cloud storage systems. ICPADS 2020: 35-43 - [c22]Yutian Lei, Qingyong Deng, Saiqin Long, Shaohui Liu, Sangyoon Oh:
An Effective Design to Improve the Efficiency of DPUs on FPGA. ICPADS 2020: 206-213 - [c21]Sangho Yeo, Seungjun Lee, Boreum Choi, Sangyoon Oh:
Integrate multi-agent simulation environment and multi-agent reinforcement learning (MARL) for real-world scenario. ICTC 2020: 523-525 - [e1]Ulrich Schwardmann, Christian Boehme, Dora B. Heras, Valeria Cardellini, Emmanuel Jeannot, Antonio Salis, Claudio Schifanella, Ravi Reddy Manumachu, Dieter Schwamborn, Laura Ricci, Oh Sangyoon, Thomas Gruber, Laura Antonelli, Stephen L. Scott:
Euro-Par 2019: Parallel Processing Workshops - Euro-Par 2019 International Workshops, Göttingen, Germany, August 26-30, 2019, Revised Selected Papers. Lecture Notes in Computer Science 11997, Springer 2020, ISBN 978-3-030-48339-5 [contents] - [i2]Sangho Yeo, Minho Bae, Minjoong Jeong, Oh-Kyoung Kwon, Sangyoon Oh:
Crossover-SGD: A gossip-based communication in distributed deep learning for alleviating large mini-batch problem and enhancing scalability. CoRR abs/2012.15198 (2020)
2010 – 2019
- 2019
- [c20]Sangho Yeo, Sangyoon Oh, Min Su Lee:
Accelerating Deep Reinforcement Learning Using Human Demonstration Data Based on Dual Replay Buffer Management and Online Frame Skipping. BigComp 2019: 1-8 - [c19]Minho Bae, Minjoong Jeong, Sangho Yeo, Sangyoon Oh, Oh-Kyoung Kwon:
I/O Performance Evaluation of Large-Scale Deep Learning on an HPC System. HPCS 2019: 436-439 - 2018
- [c18]Minsub Kim, Minho Bae, Sangho Yeo, Gyudong Park, Sangyoon Oh:
Decentralized Message Broker Federation Architecture with Multiple DHT Rings for High Survivability. ICCSA (5) 2018: 218-226 - 2017
- [c17]SooKyung Lee, Minho Bae, Junho Eum, Sangyoon Oh:
Efficient vCore Based Container Deployment Algorithm for Improving Heterogeneous Hadoop YARN Performance. ICISA 2017: 191-201 - [c16]Minho Bae, Junho Eum, Donghoon Kim, Sangyoon Oh:
High Performance Query Processing for Web Scale RDF Data using BSP Style Communication and Balanced Distribution. ICPP 2017: 201-210 - 2016
- [j15]Hyungro Lee, Min Su Lee, Wazim Mohammed Ismail, Mina Rho, Geoffrey C. Fox, Sangyoon Oh, Haixu Tang:
MGEScan: a Galaxy-based system for identifying retrotransposons in genomes. Bioinform. 32(16): 2502-2504 (2016) - [j14]Mati B. Terefe, Heezin Lee, Nojung Heo, Geoffrey Charles Fox, Sangyoon Oh:
Energy-efficient multisite offloading policy using Markov decision process for mobile cloud computing. Pervasive Mob. Comput. 27: 75-89 (2016) - 2015
- [j13]Maqbool Jahanzeb, Sangyoon Oh, Geoffrey Charles Fox:
Evaluating ARM HPC clusters for scientific workloads. Concurr. Comput. Pract. Exp. 27(17): 5390-5410 (2015) - [j12]Hongjae Kim, Sanggil Kang, Sangyoon Oh:
Ontology-based quantitative similarity metric for event matching in publish/subscribe system. Neurocomputing 152: 77-84 (2015) - [j11]Gunhee Lee, Wonil Kim, Kangseok Kim, Sangyoon Oh, Dong-Kyoo Kim:
An approach to mitigate DoS attack based on routing misbehavior in wireless ad hoc networks. Peer-to-Peer Netw. Appl. 8(4): 684-693 (2015) - [c15]Minho Bae, Hosik Park, Gibeom Lee, Junho Eum, Sangyoon Oh:
Scalable RDF triple store using summary of hashed information and Bit comparison. PACRIM 2015: 163-168 - 2014
- [j10]Minho Bae, Sanggil Kang, Sangyoon Oh:
Semantic similarity method for keyword query system on RDF. Neurocomputing 146: 264-275 (2014) - [j9]Minho Bae, Jangsu Kihm, Sanggil Kang, Sangyoon Oh:
Indexing and querying algorithm based on structure indexing for managing massive-scale RDF data. J. Intell. Fuzzy Syst. 27(2): 575-587 (2014) - [j8]Min Su Lee, Sangyoon Oh:
Alternating decision tree algorithm for assessing protein interaction reliability. Vietnam. J. Comput. Sci. 1(3): 169-178 (2014) - 2013
- [j7]Hoki Baek, Jaesung Lim, Sangyoon Oh:
Beacon-Based Slotted ALOHA for Wireless Networks with Large Propagation Delay. IEEE Commun. Lett. 17(11): 2196-2199 (2013) - [c14]Sangyoon Oh, Mun-Young Kang, Sanggil Kang:
Effective Hotspot Removal System Using Neural Network Predictor. ACIIDS (2) 2013: 478-488 - [c13]Minho Bae, Duc Nguyen, Sanggil Kang, Sangyoon Oh:
K-depth RDF Keyword Search Algorithm Based on Structure Indexing. KES-AMSTA 2013: 346-355 - 2012
- [c12]Jangsu Kihm, Minho Bae, Sanggil Kang, Sangyoon Oh:
An Intelligent RDF Management System with Hybrid Querying Approach. ICCCI (1) 2012: 405-414 - 2011
- [j6]Sangyoon Oh, Min Su Lee, Byoung-Tak Zhang:
Ensemble Learning with Active Example Selection for Imbalanced Biomedical Data Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 8(2): 316-325 (2011) - 2010
- [j5]Sangyoon Oh, Jai-Hoon Kim, Geoffrey C. Fox:
Real-time performance analysis for publish/subscribe systems. Future Gener. Comput. Syst. 26(3): 318-323 (2010) - [j4]Sangyoon Oh, Mehmet S. Aktas, Geoffrey Charles Fox:
Mobile Web Service Architecture Using Context-store. KSII Trans. Internet Inf. Syst. 4(5): 836-858 (2010) - [p1]Mikael Fernandus Simalango, Sangyoon Oh:
Feasibility Study and Experience on Using Cloud Infrastructure and Platform for Scientific Computing. Handbook of Cloud Computing 2010: 535-551 - [i1]Mikael Fernandus Simalango, Mun-Young Kang, Sangyoon Oh:
Towards Constraint-based High Performance Cloud System in the Process of Cloud Computing Adoption in an Organization. CoRR abs/1010.4952 (2010)
2000 – 2009
- 2009
- [c11]Min Su Lee, Sangyoon Oh, Byoung-Tak Zhang:
Ensemble Learning Based on Active Example Selection for Solving Imbalanced Data Problem in Biomedical Data. BIBM 2009: 350-355 - 2008
- [j3]Mehmet S. Aktas, Geoffrey C. Fox, Marlon E. Pierce, Sangyoon Oh:
XML Metadata Services. Concurr. Comput. Pract. Exp. 20(7): 801-823 (2008) - 2007
- [j2]Sangyoon Oh, Geoffrey C. Fox:
Optimizing Web Service messaging performance in mobile computing. Future Gener. Comput. Syst. 23(4): 623-632 (2007) - 2006
- [c10]Wonil Kim, Sangyoon Oh, Sanggil Kang, Dongkyun Kim:
Multi-module Image Classification System. FQAS 2006: 498-506 - [c9]Mehmet S. Aktas, Sangyoon Oh, Geoffrey C. Fox, Marlon E. Pierce:
XML Metadata Services. SKG 2006: 31 - 2005
- [c8]Sangyoon Oh, Hasan Bulut, Ahmet Uyar, Wenjun Wu, Geoffrey C. Fox:
Optimized communication using the SOAP infoset for mobile multimedia collaboration applications. CTS 2005: 32-39 - [c7]Sangyoon Oh, Sangmi Lee Pallickara, Sung Hoon Ko, Jai-Hoon Kim, Geoffrey C. Fox:
Cost Model and Adaptive Scheme for Publish/Subscribe Systems on Mobile Grid Environments. International Conference on Computational Science (3) 2005: 275-278 - [c6]Sangyoon Oh, Sangmi Lee Pallickara, Sung Hoon Ko, Jai-Hoon Kim, Geoffrey C. Fox:
Publish/Subscribe Systems on Node and Link Error Prone Mobile Environments. International Conference on Computational Science (2) 2005: 576-584 - [c5]Geoffrey C. Fox, Mehmet S. Aktas, Galip Aydin, Hasan Bulut, Harshawardhan Gadgil, Sangyoon Oh, Shrideep Pallickara, Marlon E. Pierce, Ahmet Sayar, Gang Zhai:
Grids for Real Time Data Applications. PPAM 2005: 320-332 - [c4]Geoffrey C. Fox, Mehmet S. Aktas, Galip Aydin, Andrea Donnellan, Harshawardhan Gadgil, Robert Granat, Shrideep Pallickara, Jay Parker, Marlon E. Pierce, Sangyoon Oh, John B. Rundle, Ahmet Sayar, Michael Scharber:
Building Sensor Filter Grids: Information Architecture for the Data Deluge. SKG 2005: 2 - 2003
- [c3]Sangmi Lee, Sung Hoon Ko, Geoffrey C. Fox, Kang-Seok Kim, Sangyoon Oh:
A Web Service Approach to Universal Accessibility in Collaboration Services. ICWS 2003: 333-339 - [c2]Sangyoon Oh, Sung Hoon Ko, Geoffrey C. Fox:
GMSME: An Architecture for Heterogeneous Collaboration with Mobile Devices. MWCN 2003 - 2002
- [j1]Geoffrey C. Fox, Sung Hoon Ko, Marlon E. Pierce, Ozgur Balsoy, Jake Kim, Sangmi Lee, Kang-Seok Kim, Sangyoon Oh, Xi Rao, Mustafa Varank, Hasan Bulut, Gurhan Gunduz, Xiaohong Qiu, Shrideep Pallickara, Ahmet Uyar, Choon-Han Youn:
Grid services for earthquake science. Concurr. Comput. Pract. Exp. 14(6-7): 371-393 (2002) - [c1]Geoffrey C. Fox, Sung Hong Ko, Kang-Seok Kim, Sangyoon Oh, Sangmi Lee:
Integration of Hand- Held Devices into Collaborative Environments. International Conference on Internet Computing 2002: 231-250
Coauthor Index
Geoffrey C. Fox
aka: Geoffrey Charles Fox
aka: Geoffrey Charles Fox
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