| 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 | 132 | 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 | 10 | 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 | 9 | 2023 |
| FedMEKT: Distillation-based Embedding Knowledge Transfer for Multimodal Federated Learning HQ Le, MNH Nguyen, CM Thwal, Y Qiao, C Zhang, CS Hong arXiv preprint arXiv:2307.13214, 2023 | 5 | 2023 |
| CDKT-FL: cross-device knowledge transfer using proxy dataset in federated learning MNH Nguyen, HQ Le, SR Pandey, CS Hong arXiv preprint arXiv:2204.01542, 2022 | 5 | 2022 |
| Distilling knowledge in federated learning HQ Le, JH Shin, MNH Nguyen, CS Hong 2021 22nd Asia-Pacific Network Operations and Management Symposium (APNOMS …, 2021 | 5 | 2021 |
| 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 | 4 | 2023 |
| 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 | 2 | 2023 |
| 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 | 1 | 2023 |
| A Federated Learning for Image Classification with Heterogeneous Data HQ Le, MNH Nguyen, CS Hong 한국정보과학회 학술발표논문집, 352-354, 2020 | 1 | 2020 |
| 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 | | 2024 |
| FedCCL: Federated Dual-Clustered Feature Contrast Under Domain Heterogeneity Y Qiao, HQ Le, M Zhang, A Adhikary, C Zhang, CS Hong arXiv preprint arXiv:2404.09259, 2024 | | 2024 |
| 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 | | 2024 |
| 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 | | 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 |
| An Efficient Federated Learning Framework for Training Semantic Communication System LX Nguyen, HQ Le, YL Tun, P Sone Aung, Y Kyaw Tun, Z Han, CS Hong arXiv e-prints, arXiv: 2310.13236, 2023 | | 2023 |
| Contrasive Representation for Multimodal Federated Learning HQ Le, Y Qiao, YM Park, CS Hong 한국정보과학회 학술발표논문집, 808-810, 2023 | | 2023 |
| Multimodal Representation Fusion for On-Device Learning HQ Le, CS Hong 한국정보과학회 학술발표논문집, 744-746, 2022 | | 2022 |
| Bi-level Distillation for On-Device Learning HQ Le, MNH Nguyen, CS Hong 한국정보과학회 학술발표논문집, 721-723, 2021 | | 2021 |
| Deep Learning Based Single Stage Detector for On Device Real-time Object Detection HQ Le, HN Thai, K Thar, CS Hong 한국정보과학회 학술발표논문집, 824-826, 2020 | | 2020 |
