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Hojung Lee

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2020 – today

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2022
[j5]
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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]
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Hyowoon Seo, Hojung Lee, Kyungrak Son, Wan Choi:
Private and Fresh Real-Time Status Updating. IEEE Commun. Lett. 26(2): 239-243 (2022)
[j3]
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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)
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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]
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Hojung Lee, Jong-Seok Lee:
Rethinking Online Knowledge Distillation with Multi-exits. ACCV (6) 2022: 408-424
2021
[j1]
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  - journals/tcom/SeoLC21
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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]
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  - journals/corr/abs-2102-01963
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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]
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  - journals/corr/abs-2104-00299
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Hojung Lee, Jong-Seok Lee:
Students are the Best Teacher: Exit-Ensemble Distillation with Multi-Exits. CoRR abs/2104.00299 (2021)

2010 – 2019

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2019
[c3]
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Lohith Ravuru, Hyungtak Choi, Siddarth K. M., Hojung Lee, Inchul Hwang:
Paraphrase Generation Based on VAE and Pointer-Generator Networks. ASRU 2019: 860-866
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Hojung Lee, Jong-Seok Lee:
Local Critic Training of Deep Neural Networks. IJCNN 2019: 1-8
[c1]
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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]
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  - journals/corr/abs-1805-01128
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Hojung Lee, Jong-Seok Lee:
Local Critic Training for Model-Parallel Learning of Deep Neural Networks. CoRR abs/1805.01128 (2018)

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