Yongjin Choi

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 12

Top Topics

Optical Coherence Tomography

Diabetic Retinopathy

Artifact Reduction

Top Venues

Publications

Yongjin Choi, Doeyoung Kwon, Seung Jun Baek
Dual Domain Diffusion Guidance for 3D CBCT Metal Artifact Reduction. WACV (2024)
Yongjin Choi, Krishna Kumar
Inverse analysis of granular flows using differentiable graph neural network simulator. CoRR (2024)
Yongjin Choi, Krishna Kumar
Three-dimensional granular flow simulation using graph neural network-based learned simulator. CoRR (2023)
Krishna Kumar, Yongjin Choi
Accelerating Particle and Fluid Simulations with Differentiable Graph Networks for Solving Forward and Inverse Problems. SC Workshops (2023)
Krishna Kumar, Yongjin Choi
Accelerating Particle and Fluid Simulations with Differentiable Graph Networks for Solving Forward and Inverse Problems. CoRR (2023)
Yongjin Choi, Krishna Kumar
Graph Neural Network-based surrogate model for granular flows. CoRR (2023)
Yongjin Choi, Krishna Kumar
A machine learning approach to predicting pore pressure response in liquefiable sands under cyclic loading. CoRR (2022)
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)
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)
Yongjin Choi, José Ramón Gil-García, G. Brian Burke, Jim Costello, Derek Werthmuller, Oguz Aranay
Towards Data-Driven Decision-Making in Government: Identifying Opportunities and Challenges for Data Use and Analytics. HICSS (2021)
Yongjin Choi, José Ramón Gil-García, Oguz 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)
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 (2017)
YongJoo Song, Seungwon Shin, Yongjin Choi
Network Iron Curtain: Hide Enterprise Networks with OpenFlow. WISA (2013)
YongJoo Song, Yongjin Choi, HyunBin Lee, Daeyeon Park
S-VFS: Searchable Virtual File System for an Intelligent Ubiquitous Storage. IEICE Trans. Inf. Syst. (6) (2007)
Keuntae Park, JaeSub Kim, Yongjin Choi, Daeyeon Park
MTCP: A Transmission Control Protocol for Multi-Provider Environment. IEICE Trans. Commun. (5) (2007)
YongJoo Song, Yongjin Choi, HyunBin Lee, Donggook Kim, Daeyeon Park
Searchable Virtual File System: Toward an Intelligent Ubiquitous Storage. GPC (2006)
Yongjin Choi, Daeyeon Park
Mirinae: A Peer-to-Peer Overlay Network for Content-Based Publish/Subscribe Systems. IEICE Trans. Commun. (6) (2006)
Keuntae Park, Yongjin Choi, Donggook Kim, Daeyeon Park
MTCP: a transmission control protocol for multi-provider environment. CCNC (2006)
Yongjin Choi, Daeyeon Park
Mirinae: A peer-to-peer overlay network for large-scale content-based publish/subscribe systems. NOSSDAV (2005)
Yongjin Choi, HyunBin Lee, Keuntae Park, Daeyeon Park
New peer-to-peer overlay network for content-based publish/subscribe systems. GLOBECOM (2005)
YongJoo Song, Yongjin Choi, Daeyeon Park
Traffic Load Balancing for Ad Hoc On-demand Routing Protocols. PDPTA (2002)
Yongjin Choi, Daeyeon Park
Associativity based clustering and query stride for on-demand routing protocols in ad hoc networks. J. Commun. Networks 4 (1) (2002)
Woo Hyun Ahn, Kyungbaek Kim, Yongjin Choi, Daeyeon Park
DFS: A De-Fragmented File System. MASCOTS (2002)