Fast Separation of Reflection Components using a Specularity-Invariant Image Representation. - Kuk-Jin Yoon; Yoojin Choi; In-So Kweon (ICIP, 2006)

On Effectiveness of Application-Layer Coding. - Yoojin Choi; Petar Momcilovic (IEEE Trans. Inf. Theory, 2011)

On a critical regime for linear finite-buffer networks. - Yoojin Choi; Petar Momcilovic (Allerton Conference, 2012)

Mismatched hypothesis testing with application to digital modulation classification. - Yoojin Choi; Dongwoon Bai; Jungwon Lee (ICC, 2013)

Iterative Interference Modulation Classification. - Yoojin Choi; Dongwoon Bai; Jungwon Lee; Inyup Kang (VTC Spring, 2014)

On the departure process of the linear loss network. - Yoojin Choi; Petar Momcilovic (Queueing Syst. Theory Appl., 2014)

Low-Complexity 2D LMMSE Channel Estimation for OFDM Systems. - Yoojin Choi; Jung Hyun Bae; Jungwon Lee (VTC Fall, 2015)

Towards the Limit of Network Quantization. - Yoojin Choi; Mostafa El-Khamy; Jungwon Lee (ICLR (Poster), 2017)

Towards the Performance Limit of Data-Aided Channel Estimation for 5G. - Yoojin Choi; Dongwoon Bai; Sungsoo Kim; Jungwon Lee (WCNC, 2017)

Compression of Deep Convolutional Neural Networks under Joint Sparsity Constraints. - Yoojin Choi; Mostafa El-Khamy; Jungwon Lee (CoRR, 2018)

Learning Low Precision Deep Neural Networks through Regularization. - Yoojin Choi; Mostafa El-Khamy; Jungwon Lee (CoRR, 2018)

Jointly Sparse Convolutional Neural Networks in Dual Spatial-winograd Domains. - Yoojin Choi; Mostafa El-Khamy; Jungwon Lee (ICASSP, 2019)

Variable Rate Deep Image Compression With a Conditional Autoencoder. - Yoojin Choi; Mostafa El-Khamy; Jungwon Lee (ICCV, 2019)

Analyzing the Range of Angles of a Solar Panel to Detect Defective Cells, Using a UAV. - Kyungmin Kim; Yoojin Choi; Keonyoung Shim; Hyewon Jeon; Jane Commerford; Eric T. Matson (IRC, 2019)

Wyner VAE: Joint and Conditional Generation with Succinct Common Representation Learning. - J. Jon Ryu; Yoojin Choi; Young-Han Kim 001; Mostafa El-Khamy; Jungwon Lee (CoRR, 2019)

Data-Free Network Quantization With Adversarial Knowledge Distillation. - Yoojin Choi; Jihwan P. Choi; Mostafa El-Khamy; Jungwon Lee (CVPR Workshops, 2020)

Learning Sparse Low-Precision Neural Networks With Learnable Regularization. - Yoojin Choi; Mostafa El-Khamy; Jungwon Lee (IEEE Access, 2020)

Universal Deep Neural Network Compression. - Yoojin Choi; Mostafa El-Khamy; Jungwon Lee (IEEE J. Sel. Top. Signal Process., 2020)

Dual-Teacher Class-Incremental Learning With Data-Free Generative Replay. - Yoojin Choi; Mostafa El-Khamy; Jungwon Lee (CVPR Workshops, 2021)

Zero-Shot Learning Of A Conditional Generative Adversarial Network For Data-Free Network Quantization. - Yoojin Choi; Mostafa El-Khamy; Jungwon Lee (ICIP, 2021)

Toward Sustainable Continual Learning: Detection and Knowledge Repurposing of Similar Tasks. - Sijia Wang; Yoojin Choi; Junya Chen; Mostafa El-Khamy; Ricardo Henao (CoRR, 2022)

PPG-to-ECG Signal Translation for Continuous Atrial Fibrillation Detection via Attention-based Deep State-Space Modeling. - Khuong Vo; Mostafa El-Khamy; Yoojin Choi (EMBC, 2024)

Learning Variable-Rate CSI Compression with Multi-Stage Vector Quantization. - Junho Lee; Jaein Kim; Yoojin Choi (ICC, 2024)

Infrastructure-guided Optimal Spacing for Vehicles Approaching Intersections. - Yoojin Choi; Minhee Kang; Heejin Ahn (IV, 2024)

Learning-Based Universal Linear MIMO Precoder for Finite-Alphabet Inputs. - Jaein Kim; Junho Lee; Yoojin Choi (VTC Spring, 2024)

A GPT-based Decision Transformer for Multi-Vehicle Coordination at Unsignalized Intersections. - Eunjae Lee; Minhee Kang; Yoojin Choi; Heejin Ahn (CoRR, 2024)

DBenVis: A Visual Analytics System for Comparing DBMS Performance via Benchmark Programs. - Yoojin Choi; Juhee Han; Daehyun Kim (CoRR, 2024)

Analyzing Performance Characteristics of PostgreSQL and MariaDB on NVMeVirt. - Juhee Han; Yoojin Choi (CoRR, 2024)

PreVision: An Out-of-Core Matrix Computation System with Optimal Buffer Replacement. - Kyoseung Koo; Sohyun Kim; Wonhyeon Kim; Yoojin Choi; Juhee Han; Bogyeong Kim; Bongki Moon (Proc. ACM Manag. Data, 2024)

Jovis: A Visualization Tool for PostgreSQL Query Optimizer. - Yoojin Choi; Juhee Han; Kyoseung Koo; Bongki Moon (SSDBM, 2025)