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ORCIDHojung Lee
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2020 – today
- 2025
[j9]Hojung Lee
, Seungheon Kwak, Seongwook Lee:
Multiple-output network for simultaneous target classification and moving direction estimation in automotive radar systems. Expert Syst. Appl. 259: 125280 (2025)- 2024
- [j8]Hojung Lee, Song-Yi Kwon, Seongwook Lee:
Restoration of Automotive Radar Signals Under Mutual Interference by Digital In-Painting. IEEE Trans. Instrum. Meas. 73: 1-17 (2024) - [j7]Chanul Park, Seungheon Kwak, Hojung Lee, Seongwook Lee:
Bidirectional LSTM-Based Overhead Target Classification for Automotive Radar Systems. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [i6]Hojung Lee, Jun-Pyo Hong, Wan Choi:
Enabling Multicast Transmission for Spatio-Temporally Asynchronous User Requests in Wireless Environments. CoRR abs/2407.04239 (2024) - [i5]Hojung Lee, Jong-Seok Lee:
Network Fission Ensembles for Low-Cost Self-Ensembles. CoRR abs/2408.02301 (2024) - [i4]Hojung Lee, Jong-Seok Lee:
Low-Cost Self-Ensembles Based on Multi-Branch Transformation and Grouped Convolution. CoRR abs/2408.02307 (2024) - 2023
- [j6]Jaeduk Lee, Hojung Lee, Wan Choi:
Wireless Channel Adaptive DNN Split Inference for Resource-Constrained Edge Devices. IEEE Commun. Lett. 27(6): 1520-1524 (2023) - [c5]Sung-wook Kang, Hahng-Jun Cho, Hojung Lee, Seongwook Lee:
Deep Learning-based Resolution Enhancement in SAR Image for Automotive Radar Sensors. SENSORS 2023: 1-4 - 2022
- [j5]Hojung Lee, Jaehui Hwang, Hwin Dol Park, Jaehun Choi, Jong-Seok Lee:
Classifying Gas Data Measured Under Multiple Conditions Using Deep Learning. IEEE Access 10: 68138-68150 (2022) - [j4]Hyowoon Seo, Hojung Lee, Kyungrak Son, Wan Choi:
Private and Fresh Real-Time Status Updating. IEEE Commun. Lett. 26(2): 239-243 (2022) - [j3]Hojung Lee, Hyowoon Seo, Wan Choi:
Fast and Scalable Distributed Consensus Over Wireless Large-Scale Internet of Things Network. IEEE Internet Things J. 9(11): 7916-7930 (2022) - [j2]Hojung Lee, Cho-Jui Hsieh, Jong-Seok Lee:
Local Critic Training for Model-Parallel Learning of Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4424-4436 (2022) - [c4]Hojung Lee, Jong-Seok Lee:
Rethinking Online Knowledge Distillation with Multi-exits. ACCV (6) 2022: 408-424 - 2021
- [j1]Hyowoon Seo, Hojung Lee, Wan Choi:
Fundamental Limits of Private Information Retrieval With Unknown Cache Prefetching. IEEE Trans. Commun. 69(12): 8132-8144 (2021) - [i3]Hojung Lee, Cho-Jui Hsieh, Jong-Seok Lee:
Local Critic Training for Model-Parallel Learning of Deep Neural Networks. CoRR abs/2102.01963 (2021) - [i2]Hojung Lee, Jong-Seok Lee:
Students are the Best Teacher: Exit-Ensemble Distillation with Multi-Exits. CoRR abs/2104.00299 (2021)
2010 – 2019
- 2019
- [c3]Lohith Ravuru, Hyungtak Choi, Siddarth K. M., Hojung Lee, Inchul Hwang:
Paraphrase Generation Based on VAE and Pointer-Generator Networks. ASRU 2019: 860-866 - [c2]Hojung Lee, Jong-Seok Lee:
Local Critic Training of Deep Neural Networks. IJCNN 2019: 1-8 - [c1]Hyungtak Choi, Lohith Ravuru, Tomasz Dryjanski, Sunghan Rye, Donghyun Lee, Hojung Lee, Inchul Hwang:
VAE-PGN based Abstractive Model in Multi-stage Architecture for Text Summarization. INLG 2019: 510-515 - 2018
- [i1]Hojung Lee, Jong-Seok Lee:
Local Critic Training for Model-Parallel Learning of Deep Neural Networks. CoRR abs/1805.01128 (2018)
Coauthor Index
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