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Yongjin Choi
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Journal Articles
- 2007
- [j4]Keuntae Park, JaeSub Kim, Yongjin Choi, Daeyeon Park:
MTCP: A Transmission Control Protocol for Multi-Provider Environment. IEICE Trans. Commun. 90-B(5): 1236-1240 (2007) - [j3]YongJoo Song, Yongjin Choi, HyunBin Lee, Daeyeon Park:
S-VFS: Searchable Virtual File System for an Intelligent Ubiquitous Storage. IEICE Trans. Inf. Syst. 90-D(6): 979-982 (2007) - 2006
- [j2]Yongjin Choi, Daeyeon Park:
Mirinae: A Peer-to-Peer Overlay Network for Content-Based Publish/Subscribe Systems. IEICE Trans. Commun. 89-B(6): 1755-1765 (2006) - 2002
- [j1]Yongjin Choi, Daeyeon Park:
Associativity based clustering and query stride for on-demand routing protocols in ad hoc networks. J. Commun. Networks 4(1): 4-13 (2002)
Conference and Workshop Papers
- 2024
- [c13]Yongjin Choi, Doeyoung Kwon, Seung Jun Baek:
Dual Domain Diffusion Guidance for 3D CBCT Metal Artifact Reduction. WACV 2024: 7950-7959 - 2023
- [c12]Krishna Kumar, Yongjin Choi:
Accelerating Particle and Fluid Simulations with Differentiable Graph Networks for Solving Forward and Inverse Problems. SC Workshops 2023: 60-65 - 2022
- [c11]Sungjin Choi, Bosoung Jeoun, Jaeyoung Anh, Jae-hyup Jeong, Yongjin Choi, Dowan Kwon, Unho Kim, Seoyoung Shin:
A Vision Transformer Based Deep Learning Architecture for Automatic Diagnosis of Diabetic Retinopathy in Optical Coherence Tomography Angiography. MIDOG/DRAC@MICCAI 2022: 135-145 - [c10]Priyank Kashyap, Archit Gajjar, Yongjin Choi, Chau-Wai Wong, Dror Baron, Tianfu Wu, Chris Cheng, Paul D. Franzon:
RxGAN: Modeling High-Speed Receiver through Generative Adversarial Networks. MLCAD 2022: 167-172 - 2021
- [c9]Yongjin Choi, J. Ramón Gil-García, Oguz M. Aranay, G. Brian Burke, Derek Werthmuller:
Using Artificial Intelligence Techniques for Evidence-Based Decision Making in Government: Random Forest and Deep Neural Network Classification for Predicting Harmful Algal Blooms in New York State. DG.O 2021: 27-37 - [c8]Yongjin Choi, J. Ramón Gil-García, G. Brian Burke, Jim Costello, Derek Werthmuller, Oguz M. Aranay:
Towards Data-Driven Decision-Making in Government: Identifying Opportunities and Challenges for Data Use and Analytics. HICSS 2021: 1-10 - 2013
- [c7]YongJoo Song, Seungwon Shin, Yongjin Choi:
Network Iron Curtain: Hide Enterprise Networks with OpenFlow. WISA 2013: 218-230 - 2006
- [c6]Keuntae Park, Yongjin Choi, Donggook Kim, Daeyeon Park:
MTCP: a transmission control protocol for multi-provider environment. CCNC 2006: 735-739 - [c5]YongJoo Song, Yongjin Choi, HyunBin Lee, Donggook Kim, Daeyeon Park:
Searchable Virtual File System: Toward an Intelligent Ubiquitous Storage. GPC 2006: 395-404 - 2005
- [c4]Yongjin Choi, HyunBin Lee, Keuntae Park, Daeyeon Park:
New peer-to-peer overlay network for content-based publish/subscribe systems. GLOBECOM 2005: 5 - [c3]Yongjin Choi, Daeyeon Park:
Mirinae: A peer-to-peer overlay network for large-scale content-based publish/subscribe systems. NOSSDAV 2005: 105-110 - 2002
- [c2]Woo Hyun Ahn, Kyungbaek Kim, Yongjin Choi, Daeyeon Park:
DFS: A De-Fragmented File System. MASCOTS 2002: 71-80 - [c1]YongJoo Song, Yongjin Choi, Daeyeon Park:
Traffic Load Balancing for Ad Hoc On-demand Routing Protocols. PDPTA 2002: 829-835
Informal and Other Publications
- 2024
- [i6]Yongjin Choi, Krishna Kumar:
Inverse analysis of granular flows using differentiable graph neural network simulator. CoRR abs/2401.13695 (2024) - 2023
- [i5]Yongjin Choi, Krishna Kumar:
Graph Neural Network-based surrogate model for granular flows. CoRR abs/2305.05218 (2023) - [i4]Krishna Kumar, Yongjin Choi:
Accelerating Particle and Fluid Simulations with Differentiable Graph Networks for Solving Forward and Inverse Problems. CoRR abs/2309.13348 (2023) - [i3]Yongjin Choi, Krishna Kumar:
Three-dimensional granular flow simulation using graph neural network-based learned simulator. CoRR abs/2311.07416 (2023) - 2022
- [i2]Yongjin Choi, Krishna Kumar:
A machine learning approach to predicting pore pressure response in liquefiable sands under cyclic loading. CoRR abs/2206.07780 (2022) - 2017
- [i1]Andre S. Yoon, Taehoon Lee, Yongsub Lim, Deokwoo Jung, Philgyun Kang, Dongwon Kim, Keuntae Park, Yongjin Choi:
Semi-supervised Learning with Deep Generative Models for Asset Failure Prediction. CoRR abs/1709.00845 (2017)
Coauthor Index
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