Yoojin Choi

Orcid: 0000-0002-4496-0738

According to our database1, Yoojin Choi authored at least 22 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
PPG to ECG Signal Translation for Continuous Atrial Fibrillation Detection via Attention-based Deep State-Space Modeling.
CoRR, 2023

2022
Toward Sustainable Continual Learning: Detection and Knowledge Repurposing of Similar Tasks.
CoRR, 2022

2021
Zero-Shot Learning Of A Conditional Generative Adversarial Network For Data-Free Network Quantization.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Dual-Teacher Class-Incremental Learning With Data-Free Generative Replay.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Universal Deep Neural Network Compression.
IEEE J. Sel. Top. Signal Process., 2020

Learning Sparse Low-Precision Neural Networks With Learnable Regularization.
IEEE Access, 2020

Data-Free Network Quantization With Adversarial Knowledge Distillation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Wyner VAE: Joint and Conditional Generation with Succinct Common Representation Learning.
CoRR, 2019

Analyzing the Range of Angles of a Solar Panel to Detect Defective Cells, Using a UAV.
Proceedings of the 3rd IEEE International Conference on Robotic Computing, 2019

Variable Rate Deep Image Compression With a Conditional Autoencoder.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Jointly Sparse Convolutional Neural Networks in Dual Spatial-winograd Domains.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Learning Low Precision Deep Neural Networks through Regularization.
CoRR, 2018

Compression of Deep Convolutional Neural Networks under Joint Sparsity Constraints.
CoRR, 2018

2017
Towards the Performance Limit of Data-Aided Channel Estimation for 5G.
Proceedings of the 2017 IEEE Wireless Communications and Networking Conference, 2017

Towards the Limit of Network Quantization.
Proceedings of the 5th International Conference on Learning Representations, 2017

2015
Low-Complexity 2D LMMSE Channel Estimation for OFDM Systems.
Proceedings of the IEEE 82nd Vehicular Technology Conference, 2015

2014
On the departure process of the linear loss network.
Queueing Syst. Theory Appl., 2014

Iterative Interference Modulation Classification.
Proceedings of the IEEE 79th Vehicular Technology Conference, 2014

2013
Mismatched hypothesis testing with application to digital modulation classification.
Proceedings of IEEE International Conference on Communications, 2013

2012
On a critical regime for linear finite-buffer networks.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011
On Effectiveness of Application-Layer Coding.
IEEE Trans. Inf. Theory, 2011

2006
Fast Separation of Reflection Components using a Specularity-Invariant Image Representation.
Proceedings of the International Conference on Image Processing, 2006


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