Yoojin Choi - RankMe

47 papers A* 2A 1B 4C 1Misc 1Journal 24Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Pervasive Annotation Errors Break Text-to-SQL Benchmarks and Leaderboards. CoRR Tengjun Jin, Yoojin Choi, Yuxuan Zhu, Daniel Kang
2026	J	`jnl`	Pervasive Annotation Errors Break Text-to-SQL Benchmarks and Leaderboards. Proc. VLDB Endow. Tengjun Jin, Yoojin Choi, Yuxuan Zhu, Daniel Kang
2026	J	`jnl`	ReViSQL: Achieving Human-Level Text-to-SQL. CoRR Yuxuan Zhu, Tengjun Jin, Yoojin Choi, Daniel Kang
2026	A	`conf`	Text-to-SQL Benchmarks are Broken: An In-Depth Analysis of Annotation Errors. CIDR Tengjun Jin, Yoojin Choi, Yuxuan Zhu, Daniel Kang
2025	B	`conf`	Jovis: A Visualization Tool for PostgreSQL Query Optimizer. SSDBM Yoojin Choi, Juhee Han, Kyoseung Koo, Bongki Moon
2025	—	`conf`	Shockwave Minimization within the Mesoscopic: Infrastructure-Guided Optimal Acceleration for Autonomous Vehicles. ITSC Minhee Kang, Yoojin Choi, Eunseo Choi, Heejin Ahn
2025	—	`conf`	Toward Sustainable Continual Learning: Detection and Knowledge Repurposing for Reoccurring Tasks. MLSP Sijia Wang, Yoojin Choi, Junya Chen, Mostafa El-Khamy, Ricardo Henao
2024	J	`jnl`	A GPT-based Decision Transformer for Multi-Vehicle Coordination at Unsignalized Intersections. CoRR Eunjae Lee, Minhee Kang, Yoojin Choi, Heejin Ahn
2024	J	`jnl`	Analyzing Performance Characteristics of PostgreSQL and MariaDB on NVMeVirt. CoRR Juhee Han, Yoojin Choi
2024	J	`jnl`	DBenVis: A Visual Analytics System for Comparing DBMS Performance via Benchmark Programs. CoRR Yoojin Choi, Juhee Han, Daehyun Kim
2024	C	`conf`	Infrastructure-guided Optimal Spacing for Vehicles Approaching Intersections. IV Yoojin Choi, Minhee Kang, Heejin Ahn
2024	J	`jnl`	Jovis: A Visualization Tool for PostgreSQL Query Optimizer. CoRR Yoojin Choi, Juhee Han, Kyoseung Koo, Bongki Moon
2024	—	`conf`	Learning Variable-Rate CSI Compression with Multi-Stage Vector Quantization. ICC Junho Lee, Jaein Kim, Yoojin Choi
2024	—	`conf`	Learning-Based Universal Linear MIMO Precoder for Finite-Alphabet Inputs. VTC Spring Jaein Kim, Junho Lee, Yoojin Choi
2024	—	`conf`	PPG-to-ECG Signal Translation for Continuous Atrial Fibrillation Detection via Attention-based Deep State-Space Modeling. EMBC Khuong Vo, Mostafa El-Khamy, Yoojin Choi
2024	J	`jnl`	PreVision: An Out-of-Core Matrix Computation System with Optimal Buffer Replacement. Proc. ACM Manag. Data Kyoseung Koo, Sohyun Kim, Wonhyeon Kim, Yoojin Choi, Juhee Han, Bogyeong Kim, Bongki Moon
2024	—	`conf`	Reproducibility Report for ACM SIGMOD 2024 Paper: 'PreVision: An Out-of-Core Matrix Computation System with Optimal Buffer Replacement'. SIGMOD/PODS Niccolò Meneghetti, Hein Meling, Kyoseung Koo, Yoojin Choi
2023	J	`jnl`	PPG to ECG Signal Translation for Continuous Atrial Fibrillation Detection via Attention-based Deep State-Space Modeling. CoRR Khuong Vo, Mostafa El-Khamy, Yoojin Choi
2022	J	`jnl`	Toward Sustainable Continual Learning: Detection and Knowledge Repurposing of Similar Tasks. CoRR Sijia Wang, Yoojin Choi, Junya Chen, Mostafa El-Khamy, Ricardo Henao
2022	J	`jnl`	Zero-Shot Learning of a Conditional Generative Adversarial Network for Data-Free Network Quantization. CoRR Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
2021	—	`conf`	Dual-Teacher Class-Incremental Learning With Data-Free Generative Replay. CVPR Workshops Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
2021	J	`jnl`	Dual-Teacher Class-Incremental Learning With Data-Free Generative Replay. CoRR Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
2021	B	`conf`	Zero-Shot Learning Of A Conditional Generative Adversarial Network For Data-Free Network Quantization. ICIP Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
2020	—	`conf`	Data-Free Network Quantization With Adversarial Knowledge Distillation. CVPR Workshops Yoojin Choi, Jihwan P. Choi, Mostafa El-Khamy, Jungwon Lee
2020	J	`jnl`	Data-Free Network Quantization With Adversarial Knowledge Distillation. CoRR Yoojin Choi, Jihwan P. Choi, Mostafa El-Khamy, Jungwon Lee
2020	J	`jnl`	Learning Sparse Low-Precision Neural Networks With Learnable Regularization. IEEE Access Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
2020	J	`jnl`	Universal Deep Neural Network Compression. IEEE J. Sel. Top. Signal Process. Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
2019	—	`conf`	Analyzing the Range of Angles of a Solar Panel to Detect Defective Cells, Using a UAV. IRC Kyungmin Kim, Yoojin Choi, Keonyoung Shim, Hyewon Jeon, Jane Commerford, Eric T. Matson
2019	J	`jnl`	Jointly Sparse Convolutional Neural Networks in Dual Spatial-Winograd Domains. CoRR Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
2019	Misc	`conf`	Jointly Sparse Convolutional Neural Networks in Dual Spatial-winograd Domains. ICASSP Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
2019	A*	`conf`	Variable Rate Deep Image Compression With a Conditional Autoencoder. ICCV Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
2019	J	`jnl`	Variable Rate Deep Image Compression With a Conditional Autoencoder. CoRR Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
2019	J	`jnl`	Wyner VAE: Joint and Conditional Generation with Succinct Common Representation Learning. CoRR J. Jon Ryu, Yoojin Choi, Young-Han Kim, Mostafa El-Khamy, Jungwon Lee
2018	J	`jnl`	Compression of Deep Convolutional Neural Networks under Joint Sparsity Constraints. CoRR Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
2018	J	`jnl`	Learning Low Precision Deep Neural Networks through Regularization. CoRR Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
2018	J	`jnl`	Universal Deep Neural Network Compression. CoRR Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
2017	—	`conf`	Towards the Limit of Network Quantization. ICLR (Poster) Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
2017	B	`conf`	Towards the Performance Limit of Data-Aided Channel Estimation for 5G. WCNC Yoojin Choi, Dongwoon Bai, Sungsoo Kim, Jungwon Lee
2016	J	`jnl`	Towards the Limit of Network Quantization. CoRR Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
2015	—	`conf`	Low-Complexity 2D LMMSE Channel Estimation for OFDM Systems. VTC Fall Yoojin Choi, Jung Hyun Bae, Jungwon Lee
2014	—	`conf`	Iterative Interference Modulation Classification. VTC Spring Yoojin Choi, Dongwoon Bai, Jungwon Lee, Inyup Kang
2014	J	`jnl`	On the departure process of the linear loss network. Queueing Syst. Theory Appl. Yoojin Choi, Petar Momcilovic
2013	—	`conf`	Mismatched hypothesis testing with application to digital modulation classification. ICC Yoojin Choi, Dongwoon Bai, Jungwon Lee
2012	—	`conf`	On a critical regime for linear finite-buffer networks. Allerton Conference Yoojin Choi, Petar Momcilovic
2011	J	`jnl`	On Effectiveness of Application-Layer Coding. IEEE Trans. Inf. Theory Yoojin Choi, Petar Momcilovic
2009	A*	`conf`	On Effectiveness of Application-Layer Coding. INFOCOM Yoojin Choi, Petar Momcilovic
2006	B	`conf`	Fast Separation of Reflection Components using a Specularity-Invariant Image Representation. ICIP Kuk-Jin Yoon, Yoojin Choi, In-So Kweon