Yoojin Choi

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 24

Top Topics

Enormous Amounts

Compression Standards

Atrial Fibrillation

Top Venues

Proc. ACM Manag. Data

Publications

Yoojin Choi, Minhee Kang, Heejin Ahn
Infrastructure-guided Optimal Spacing for Vehicles Approaching Intersections. IV (2024)
Kyoseung Koo, Sohyun Kim, Wonhyeon Kim, Yoojin Choi, Juhee Han, Bogyeong Kim, Bongki Moon
PreVision: An Out-of-Core Matrix Computation System with Optimal Buffer Replacement. Proc. ACM Manag. Data 2 (1) (2024)
Khuong Vo, Mostafa El-Khamy, Yoojin Choi
PPG to ECG Signal Translation for Continuous Atrial Fibrillation Detection via Attention-based Deep State-Space Modeling. CoRR (2023)
Sijia Wang, Yoojin Choi, Junya Chen, Mostafa El-Khamy, Ricardo Henao
Toward Sustainable Continual Learning: Detection and Knowledge Repurposing of Similar Tasks. CoRR (2022)
Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
Zero-Shot Learning of a Conditional Generative Adversarial Network for Data-Free Network Quantization. CoRR (2022)
Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
Dual-Teacher Class-Incremental Learning With Data-Free Generative Replay. CVPR Workshops (2021)
Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
Zero-Shot Learning Of A Conditional Generative Adversarial Network For Data-Free Network Quantization. ICIP (2021)
Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
Dual-Teacher Class-Incremental Learning With Data-Free Generative Replay. CoRR (2021)
Yoojin Choi, Jihwan P. Choi, Mostafa El-Khamy, Jungwon Lee
Data-Free Network Quantization With Adversarial Knowledge Distillation. CoRR (2020)
Yoojin Choi, Jihwan P. Choi, Mostafa El-Khamy, Jungwon Lee
Data-Free Network Quantization With Adversarial Knowledge Distillation. CVPR Workshops (2020)
Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
Learning Sparse Low-Precision Neural Networks With Learnable Regularization. IEEE Access 8 (2020)
Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
Universal Deep Neural Network Compression. IEEE J. Sel. Top. Signal Process. 14 (4) (2020)
Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
Jointly Sparse Convolutional Neural Networks in Dual Spatial-winograd Domains. ICASSP (2019)
Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
Variable Rate Deep Image Compression With a Conditional Autoencoder. ICCV (2019)
Kyungmin Kim, Yoojin Choi, Keonyoung Shim, Hyewon Jeon, Jane Commerford, Eric T. Matson
Analyzing the Range of Angles of a Solar Panel to Detect Defective Cells, Using a UAV. IRC (2019)
Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
Variable Rate Deep Image Compression With a Conditional Autoencoder. CoRR (2019)
Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
Jointly Sparse Convolutional Neural Networks in Dual Spatial-Winograd Domains. CoRR (2019)
J. Jon Ryu, Yoojin Choi, Young-Han Kim, Mostafa El-Khamy, Jungwon Lee
Wyner VAE: Joint and Conditional Generation with Succinct Common Representation Learning. CoRR (2019)
Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
Universal Deep Neural Network Compression. CoRR (2018)
Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
Compression of Deep Convolutional Neural Networks under Joint Sparsity Constraints. CoRR (2018)
Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
Learning Low Precision Deep Neural Networks through Regularization. CoRR (2018)
Yoojin Choi, Dongwoon Bai, Sungsoo Kim, Jungwon Lee
Towards the Performance Limit of Data-Aided Channel Estimation for 5G. WCNC (2017)
Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
Towards the Limit of Network Quantization. ICLR (Poster) (2017)
Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
Towards the Limit of Network Quantization. CoRR (2016)
Yoojin Choi, Jung Hyun Bae, Jungwon Lee
Low-Complexity 2D LMMSE Channel Estimation for OFDM Systems. VTC Fall (2015)
Yoojin Choi, Dongwoon Bai, Jungwon Lee, Inyup Kang
Iterative Interference Modulation Classification. VTC Spring (2014)
Yoojin Choi, Petar Momcilovic
On the departure process of the linear loss network. Queueing Syst. Theory Appl. 78 (2) (2014)
Yoojin Choi, Dongwoon Bai, Jungwon Lee
Mismatched hypothesis testing with application to digital modulation classification. ICC (2013)
Yoojin Choi, Petar Momcilovic
On a critical regime for linear finite-buffer networks. Allerton Conference (2012)
Yoojin Choi, Petar Momcilovic
On Effectiveness of Application-Layer Coding. IEEE Trans. Inf. Theory 57 (10) (2011)
Yoojin Choi, Petar Momcilovic
On Effectiveness of Application-Layer Coding. INFOCOM (2009)
Kuk-Jin Yoon, Yoojin Choi, In-So Kweon
Fast Separation of Reflection Components using a Specularity-Invariant Image Representation. ICIP (2006)