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Yoojin Choi
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2020 – today
- 2024
- [j5]Kyoseung Koo
, Sohyun Kim
PreVision: An Out-of-Core Matrix Computation System with Optimal Buffer Replacement. Proc. ACM Manag. Data 2(1): 42:1-42:25 (2024) - [c17]Junho Lee, Jaein Kim, Yoojin Choi:
Learning Variable-Rate CSI Compression with Multi-Stage Vector Quantization. ICC 2024: 5123-5128 - [c16]Yoojin Choi, Minhee Kang, Heejin Ahn:
Infrastructure-guided Optimal Spacing for Vehicles Approaching Intersections. IV 2024: 1615-1620 - [c15]Jaein Kim, Junho Lee, Yoojin Choi:
Learning-Based Universal Linear MIMO Precoder for Finite-Alphabet Inputs. VTC Spring 2024: 1-5 - [i13]Eunjae Lee, Minhee Kang, Yoojin Choi, Heejin Ahn:
A GPT-based Decision Transformer for Multi-Vehicle Coordination at Unsignalized Intersections. CoRR abs/2410.05829 (2024) - 2023
- [i12]Khuong Vo, Mostafa El-Khamy
PPG to ECG Signal Translation for Continuous Atrial Fibrillation Detection via Attention-based Deep State-Space Modeling. CoRR abs/2309.15375 (2023) - 2022
- [i11]Sijia Wang, Yoojin Choi, Junya Chen, Mostafa El-Khamy
Toward Sustainable Continual Learning: Detection and Knowledge Repurposing of Similar Tasks. CoRR abs/2210.05751 (2022) - [i10]Yoojin Choi, Mostafa El-Khamy
Zero-Shot Learning of a Conditional Generative Adversarial Network for Data-Free Network Quantization. CoRR abs/2210.14392 (2022) - 2021
- [c14]Yoojin Choi, Mostafa El-Khamy
Dual-Teacher Class-Incremental Learning With Data-Free Generative Replay. CVPR Workshops 2021: 3543-3552 - [c13]Yoojin Choi, Mostafa El-Khamy
Zero-Shot Learning Of A Conditional Generative Adversarial Network For Data-Free Network Quantization. ICIP 2021: 3552-3556 - [i9]Yoojin Choi, Mostafa El-Khamy, Jungwon Lee:
Dual-Teacher Class-Incremental Learning With Data-Free Generative Replay. CoRR abs/2106.09835 (2021) - 2020
- [j4]Yoojin Choi
Learning Sparse Low-Precision Neural Networks With Learnable Regularization. IEEE Access 8: 96963-96974 (2020) - [j3]Yoojin Choi
Universal Deep Neural Network Compression. IEEE J. Sel. Top. Signal Process. 14(4): 715-726 (2020) - [c12]Yoojin Choi, Jihwan P. Choi, Mostafa El-Khamy
Data-Free Network Quantization With Adversarial Knowledge Distillation. CVPR Workshops 2020: 3047-3057 - [i8]Yoojin Choi, Jihwan P. Choi, Mostafa El-Khamy, Jungwon Lee:
Data-Free Network Quantization With Adversarial Knowledge Distillation. CoRR abs/2005.04136 (2020)
2010 – 2019
- 2019
- [c11]Yoojin Choi, Mostafa El-Khamy
Jointly Sparse Convolutional Neural Networks in Dual Spatial-winograd Domains. ICASSP 2019: 2792-2796 - [c10]Yoojin Choi, Mostafa El-Khamy
Variable Rate Deep Image Compression With a Conditional Autoencoder. ICCV 2019: 3146-3154 - [c9]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: 471-476 - [i7]Yoojin Choi, Mostafa El-Khamy, Jungwon Lee:
Jointly Sparse Convolutional Neural Networks in Dual Spatial-Winograd Domains. CoRR abs/1902.08192 (2019) - [i6]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 abs/1905.10945 (2019) - [i5]Yoojin Choi, Mostafa El-Khamy, Jungwon Lee:
Variable Rate Deep Image Compression With a Conditional Autoencoder. CoRR abs/1909.04802 (2019) - 2018
- [i4]Yoojin Choi, Mostafa El-Khamy, Jungwon Lee:
Universal Deep Neural Network Compression. CoRR abs/1802.02271 (2018) - [i3]Yoojin Choi, Mostafa El-Khamy, Jungwon Lee:
Compression of Deep Convolutional Neural Networks under Joint Sparsity Constraints. CoRR abs/1805.08303 (2018) - [i2]Yoojin Choi, Mostafa El-Khamy, Jungwon Lee:
Learning Low Precision Deep Neural Networks through Regularization. CoRR abs/1809.00095 (2018) - 2017
- [c8]Yoojin Choi, Mostafa El-Khamy, Jungwon Lee:
Towards the Limit of Network Quantization. ICLR (Poster) 2017 - [c7]Yoojin Choi, Dongwoon Bai, Sungsoo Kim, Jungwon Lee:
Towards the Performance Limit of Data-Aided Channel Estimation for 5G. WCNC 2017: 1-6 - 2016
- [i1]Yoojin Choi, Mostafa El-Khamy, Jungwon Lee:
Towards the Limit of Network Quantization. CoRR abs/1612.01543 (2016) - 2015
- [c6]Yoojin Choi, Jung Hyun Bae, Jungwon Lee:
Low-Complexity 2D LMMSE Channel Estimation for OFDM Systems. VTC Fall 2015: 1-5 - 2014
- [j2]Yoojin Choi, Petar Momcilovic:
On the departure process of the linear loss network. Queueing Syst. Theory Appl. 78(2): 155-187 (2014) - [c5]Yoojin Choi, Dongwoon Bai, Jungwon Lee, Inyup Kang:
Iterative Interference Modulation Classification. VTC Spring 2014: 1-5 - 2013
- [c4]Yoojin Choi, Dongwoon Bai, Jungwon Lee:
Mismatched hypothesis testing with application to digital modulation classification. ICC 2013: 4541-4545 - 2012
- [c3]Yoojin Choi, Petar Momcilovic:
On a critical regime for linear finite-buffer networks. Allerton Conference 2012: 730-737 - 2011
- [j1]Yoojin Choi, Petar Momcilovic:
On Effectiveness of Application-Layer Coding. IEEE Trans. Inf. Theory 57(10): 6673-6691 (2011)
2000 – 2009
- 2009
- [c2]Yoojin Choi, Petar Momcilovic:
On Effectiveness of Application-Layer Coding. INFOCOM 2009: 433-441 - 2006
- [c1]Kuk-Jin Yoon, Yoojin Choi, In-So Kweon:
Fast Separation of Reflection Components using a Specularity-Invariant Image Representation. ICIP 2006: 973-976
Coauthor Index
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last updated on 2024-11-19 20:47 CET by the dblp team
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