Local Critic Training for Model-Parallel Learning of Deep Neural Networks. - Hojung Lee; Jong-Seok Lee (CoRR, 2018)

Paraphrase Generation Based on VAE and Pointer-Generator Networks. - Lohith Ravuru; Hyungtak Choi; Siddarth K. M.; Hojung Lee; Inchul Hwang (ASRU, 2019)

Local Critic Training of Deep Neural Networks. - Hojung Lee; Jong-Seok Lee (IJCNN, 2019)

VAE-PGN based Abstractive Model in Multi-stage Architecture for Text Summarization. - Hyungtak Choi; Lohith Ravuru; Tomasz Dryjanski; Sunghan Rye; Donghyun Lee; Hojung Lee; Inchul Hwang (INLG, 2019)

Students are the Best Teacher: Exit-Ensemble Distillation with Multi-Exits. - Hojung Lee; Jong-Seok Lee (CoRR, 2021)

Fundamental Limits of Private Information Retrieval With Unknown Cache Prefetching. - Hyowoon Seo; Hojung Lee; Wan Choi 001 (IEEE Trans. Commun., 2021)

Rethinking Online Knowledge Distillation with Multi-exits. - Hojung Lee; Jong-Seok Lee (ACCV (6), 2022)

Classifying Gas Data Measured Under Multiple Conditions Using Deep Learning. - Hojung Lee; Jaehui Hwang; Hwin Dol Park; Jaehun Choi; Jong-Seok Lee (IEEE Access, 2022)

Private and Fresh Real-Time Status Updating. - Hyowoon Seo; Hojung Lee; Kyungrak Son; Wan Choi 001 (IEEE Commun. Lett., 2022)

Fast and Scalable Distributed Consensus Over Wireless Large-Scale Internet of Things Network. - Hojung Lee; Hyowoon Seo; Wan Choi 001 (IEEE Internet Things J., 2022)

Local Critic Training for Model-Parallel Learning of Deep Neural Networks. - Hojung Lee; Cho-Jui Hsieh; Jong-Seok Lee (IEEE Trans. Neural Networks Learn. Syst., 2022)

Deep Learning-based Resolution Enhancement in SAR Image for Automotive Radar Sensors. - Sung-wook Kang; Hahng-Jun Cho; Hojung Lee; Seongwook Lee (SENSORS, 2023)

Wireless Channel Adaptive DNN Split Inference for Resource-Constrained Edge Devices. - Jaeduk Lee; Hojung Lee; Wan Choi 001 (IEEE Commun. Lett., 2023)

Enabling Multicast Transmission for Spatio-Temporally Asynchronous User Requests in Wireless Environments. - Hojung Lee; Jun-Pyo Hong; Wan Choi 001 (CoRR, 2024)

Low-Cost Self-Ensembles Based on Multi-Branch Transformation and Grouped Convolution. - Hojung Lee; Jong-Seok Lee (CoRR, 2024)

Restoration of Automotive Radar Signals Under Mutual Interference by Digital In-Painting. - Hojung Lee; Song-Yi Kwon; Seongwook Lee (IEEE Trans. Instrum. Meas., 2024)

Bidirectional LSTM-Based Overhead Target Classification for Automotive Radar Systems. - Chanul Park; Seungheon Kwak; Hojung Lee; Seongwook Lee (IEEE Trans. Instrum. Meas., 2024)

Multiple-output network for simultaneous target classification and moving direction estimation in automotive radar systems. - Hojung Lee; Seungheon Kwak; Seongwook Lee (Expert Syst. Appl., 2025)

Network Fission Ensembles for low-cost self-ensembles. - Hojung Lee; Jong-Seok Lee (Pattern Recognit. Lett., 2025)