Yoojin Choi

Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

Infrastructure-guided Optimal Spacing for Vehicles Approaching Intersections.

[BibT_eX]

[DOI]

Minhee Kang

Heejin Ahn

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Learning Variable-Rate CSI Compression with Multi-Stage Vector Quantization.

[BibT_eX]

[DOI]

Junho Lee

Jaein Kim

Proceedings of the IEEE International Conference on Communications, 2024

2023

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

[BibT_eX]

[DOI]

Khuong Vo

CoRR, 2023

2022

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

[BibT_eX]

[DOI]

CoRR, 2022

2021

Zero-Shot Learning Of A Conditional Generative Adversarial Network For Data-Free Network Quantization.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Dual-Teacher Class-Incremental Learning With Data-Free Generative Replay.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Universal Deep Neural Network Compression.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2020

Learning Sparse Low-Precision Neural Networks With Learnable Regularization.

[BibT_eX]

[DOI]

IEEE Access, 2020

Data-Free Network Quantization With Adversarial Knowledge Distillation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2019

Analyzing the Range of Angles of a Solar Panel to Detect Defective Cells, Using a UAV.

[BibT_eX]

[DOI]

Proceedings of the 3rd IEEE International Conference on Robotic Computing, 2019

Variable Rate Deep Image Compression With a Conditional Autoencoder.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Jointly Sparse Convolutional Neural Networks in Dual Spatial-winograd Domains.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Learning Low Precision Deep Neural Networks through Regularization.

[BibT_eX]

[DOI]

CoRR, 2018

Compression of Deep Convolutional Neural Networks under Joint Sparsity Constraints.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Towards the Performance Limit of Data-Aided Channel Estimation for 5G.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Wireless Communications and Networking Conference, 2017

Towards the Limit of Network Quantization.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

2015

Low-Complexity 2D LMMSE Channel Estimation for OFDM Systems.

[BibT_eX]

[DOI]

Jung Hyun Bae

Proceedings of the IEEE 82nd Vehicular Technology Conference, 2015

2014

On the departure process of the linear loss network.

[BibT_eX]

[DOI]

Petar Momcilovic

Queueing Syst. Theory Appl., 2014

Iterative Interference Modulation Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE 79th Vehicular Technology Conference, 2014

2013

Mismatched hypothesis testing with application to digital modulation classification.

[BibT_eX]

[DOI]

Dongwoon Bai

Proceedings of IEEE International Conference on Communications, 2013

2012

On a critical regime for linear finite-buffer networks.

[BibT_eX]

[DOI]

Petar Momcilovic

Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011

On Effectiveness of Application-Layer Coding.

[BibT_eX]

[DOI]

Petar Momcilovic

IEEE Trans. Inf. Theory, 2011

2006

Fast Separation of Reflection Components using a Specularity-Invariant Image Representation.

[BibT_eX]

[DOI]

Kuk-Jin Yoon