| A complete survey on generative ai (aigc): Is chatgpt from gpt-4 to gpt-5 all you need? C Zhang, C Zhang, S Zheng, Y Qiao, C Li, M Zhang, SK Dam, CM Thwal, ... arXiv preprint arXiv:2303.11717, 2023 | 206 | 2023 |
| Mp-fedcl: Multi-prototype federated contrastive learning for edge intelligence Y Qiao, MS Munir, A Adhikary, HQ Le, AD Raha, C Zhang, CS Hong IEEE Internet of Things journal, 2023 | 26 | 2023 |
| A new chapter for medical image generation: the stable diffusion method LX Nguyen, PS Aung, HQ Le, SB Park, CS Hong 2023 International Conference on Information Networking (ICOIN), 483-486, 2023 | 21 | 2023 |
| CDKT-FL: Cross-device knowledge transfer using proxy dataset in federated learning HQ Le, MNH Nguyen, SR Pandey, C Zhang, CS Hong Engineering Applications of Artificial Intelligence 133, 108093, 2024 | 12 | 2024 |
| Fedmekt: Distillation-based embedding knowledge transfer for multimodal federated learning HQ Le, MNH Nguyen, CM Thwal, Y Qiao, C Zhang, CS Hong Neural Networks, 107017, 2024 | 11 | 2024 |
| An Efficient Federated Learning Framework for Training Semantic Communication Systems LX Nguyen, HQ Le, YL Tun, PS Aung, YK Tun, Z Han, CS Hong IEEE Transactions on Vehicular Technology, 2024 | 9 | 2024 |
| Knowledge distillation in federated learning: Where and how to distill? Y Qiao, C Zhang, HQ Le, AD Raha, A Adhikary, CS Hong 2023 24st Asia-Pacific Network Operations and Management Symposium (APNOMS …, 2023 | 8 | 2023 |
| Distilling knowledge in federated learning HQ Le, JH Shin, MNH Nguyen, CS Hong 2021 22nd Asia-Pacific Network Operations and Management Symposium (APNOMS …, 2021 | 7 | 2021 |
| Federated multimodal learning for iot applications: A contrastive learning approach HQ Le, Y Qiao, LX Nguyen, L Zou, CS Hong 2023 24st Asia-Pacific Network Operations and Management Symposium (APNOMS …, 2023 | 6 | 2023 |
| Layer-wise knowledge distillation for cross-device federated learning HQ Le, LX Nguyen, SB Park, CS Hong 2023 International Conference on Information Networking (ICOIN), 526-529, 2023 | 6 | 2023 |
| Semantic Communication for AR-based Services in 5G and Beyond TN Dang, LX Nguyen, HQ Le, KT Kim, SMA Kazmi, SB Park, EN Huh, ... 2023 International Conference on Information Networking (ICOIN), 549-553, 2023 | 5 | 2023 |
| FedCCL: Federated dual-clustered feature contrast under domain heterogeneity Y Qiao, HQ Le, M Zhang, A Adhikary, C Zhang, CS Hong Information Fusion 113, 102645, 2025 | 4 | 2025 |
| Boosting federated learning convergence with prototype regularization Y Qiao, HQ Le, CS Hong arXiv preprint arXiv:2307.10575, 2023 | 4 | 2023 |
| Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality HQ Le, CM Thwal, Y Qiao, YL Tun, MNH Nguyen, CS Hong arXiv preprint arXiv:2401.13898, 2024 | 3 | 2024 |
| EFCKD: Edge-Assisted Federated Contrastive Knowledge Distillation Approach for Energy Management: Energy Theft Perspective L Zou, HQ Le, AD Raha, DU Kim, CS Hong 2023 24st Asia-Pacific Network Operations and Management Symposium (APNOMS …, 2023 | 3 | 2023 |
| FedMEKT: Split multimodal embedding knowledge transfer in federated learning HQ Le, MNH Nguyen, CS Hong | 2 | 2023 |
| LW-FedSSL: Resource-efficient Layer-wise Federated Self-supervised Learning YL Tun, CM Thwal, LQ Huy, MNH Nguyen, CS Hong arXiv preprint arXiv:2401.11647, 2024 | 1 | 2024 |
| A Federated Learning for Image Classification with Heterogeneous Data HQ Le, MNH Nguyen, CS Hong 한국정보과학회 학술발표논문집, 352-354, 2020 | 1 | 2020 |
| Cyber Attacks Prevention Towards Prosumer-Based EV Charging Stations: An Edge-Assisted Federated Prototype Knowledge Distillation Approach L Zou, QH Vo, K Kim, HQ Le, CM Thwal, C Zhang, CS Hong IEEE Transactions on Network and Service Management, 2024 | | 2024 |
| Training A Semantic Communication System with Federated Learning LX Nguyen, HQ Le, YL Tun, PS Aung, YK Tun, Z Han, CS Hong arXiv preprint arXiv:2310.13236, 2023 | | 2023 |
Choong Seon Hong, FIEEESchool of Computing, Kyung Hee Universityبريد إلكتروني تم التحقق منه على khu.ac.kr