Huy Q. Le - RankMe

29 papers B 1C 5Journal 20Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agentic AI as a Network Control-Plane Intelligence Layer for Federated Learning over 6G. CoRR Loc X. Nguyen, Ji Su Yoon, Huy Q. Le, Yu Qiao, Avi Deb Raha, Eui-Nam Huh, Nguyen H. Tran, Zhu Han, Choong Seon Hong
2025	J	`jnl`	Cross-Domain Federated Semantic Communication with Global Representation Alignment and Domain-Aware Aggregation. CoRR Loc X. Nguyen, Ji Su Yoon, Huy Q. Le, Yu Qiao, Avi Deb Raha, Eui-Nam Huh, Walid Saad, Dusit Niyato, Zhu Han, Choong Seon Hong
2025	J	`jnl`	Cross-modal prototype based multimodal federated learning under severely missing modality. Inf. Fusion Huy Q. Le, Chu Myaet Thwal, Yu Qiao, Ye Lin Tun, Minh N. H. Nguyen, Eui-Nam Huh, Choong Seon Hong
2025	J	`jnl`	Cyber Attacks Prevention Toward Prosumer-Based EV Charging Stations: An Edge-Assisted Federated Prototype Knowledge Distillation Approach. IEEE Trans. Netw. Serv. Manag. Luyao Zou, Quang Hieu Vo, Kitae Kim, Huy Q. Le, Chu Myaet Thwal, Chaoning Zhang, Choong Seon Hong
2025	J	`jnl`	FedMEKT: Distillation-based embedding knowledge transfer for multimodal federated learning. Neural Networks Huy Q. Le, Minh N. H. Nguyen, Chu Myaet Thwal, Yu Qiao, Chaoning Zhang, Choong Seon Hong
2025	J	`jnl`	Mitigating Domain Shift in Federated Learning via Intra- and Inter-Domain Prototypes. CoRR Huy Q. Le, Ye Lin Tun, Yu Qiao, Minh N. H. Nguyen, Keon Oh Kim, Choong Seon Hong
2025	J	`jnl`	Pre-trained Model Guided Mixture Knowledge Distillation for Adversarial Federated Learning. CoRR Yu Qiao, Huy Q. Le, Apurba Adhikary, Choong Seon Hong
2025	B	`conf`	Robust Federated Learning on Edge Devices with Domain Heterogeneity. IWCMC Huy Q. Le, Latif U. Khan, Choong Seon Hong
2025	J	`jnl`	Robust Federated Learning on Edge Devices with Domain Heterogeneity. CoRR Huy Q. Le, Latif U. Khan, Choong Seon Hong
2025	J	`jnl`	Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence. CoRR Yu Qiao, Huy Q. Le, Avi Deb Raha, Phuong-Nam Tran, Apurba Adhikary, Mengchun Zhang, Loc X. Nguyen, Eui-Nam Huh, Dusit Niyato, Choong Seon Hong
2024	J	`jnl`	An Efficient Federated Learning Framework for Training Semantic Communication Systems. IEEE Trans. Veh. Technol. Loc X. Nguyen, Huy Q. Le, Ye Lin Tun, Pyae Sone Aung, Yan Kyaw Tun, Zhu Han, Choong Seon Hong
2024	J	`jnl`	CDKT-FL: Cross-device knowledge transfer using proxy dataset in federated learning. Eng. Appl. Artif. Intell. Huy Q. Le, Minh N. H. Nguyen, Shashi Raj Pandey, Chaoning Zhang, Choong Seon Hong
2024	J	`jnl`	Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality. CoRR Huy Q. Le, Chu Myaet Thwal, Yu Qiao, Ye Lin Tun, Minh N. H. Nguyen, Choong Seon Hong
2024	J	`jnl`	Cyber Attacks Prevention Towards Prosumer-based EV Charging Stations: An Edge-assisted Federated Prototype Knowledge Distillation Approach. CoRR Luyao Zou, Quang Hieu Vo, Kitae Kim, Huy Q. Le, Chu Myaet Thwal, Chaoning Zhang, Choong Seon Hong
2024	J	`jnl`	FedCCL: Federated Dual-Clustered Feature Contrast Under Domain Heterogeneity. CoRR Yu Qiao, Huy Q. Le, Mengchun Zhang, Apurba Adhikary, Chaoning Zhang, Choong Seon Hong
2024	J	`jnl`	MP-FedCL: Multiprototype Federated Contrastive Learning for Edge Intelligence. IEEE Internet Things J. Yu Qiao, Md. Shirajum Munir, Apurba Adhikary, Huy Q. Le, Avi Deb Raha, Chaoning Zhang, Choong Seon Hong
2023	—	`conf`	A New Chapter for Medical Image Generation: The Stable Diffusion Method. ICOIN Loc X. Nguyen, Pyae Sone Aung, Huy Q. Le, Seong-Bae Park, Choong Seon Hong
2023	J	`jnl`	Boosting Federated Learning Convergence with Prototype Regularization. CoRR Yu Qiao, Huy Q. Le, Choong Seon Hong
2023	C	`conf`	EFCKD: Edge-Assisted Federated Contrastive Knowledge Distillation Approach for Energy Management: Energy Theft Perspective. APNOMS Luyao Zou, Huy Q. Le, Avi Deb Raha, Dong Uk Kim, Choong Seon Hong
2023	J	`jnl`	FedMEKT: Distillation-based Embedding Knowledge Transfer for Multimodal Federated Learning. CoRR Huy Q. Le, Minh N. H. Nguyen, Chu Myaet Thwal, Yu Qiao, Chaoning Zhang, Choong Seon Hong
2023	C	`conf`	Federated Multimodal Learning for IoT Applications: A Contrastive Learning Approach. APNOMS Huy Q. Le, Yu Qiao, Loc X. Nguyen, Luyao Zou, Choong Seon Hong
2023	C	`conf`	Knowledge Distillation in Federated Learning: Where and How to Distill? APNOMS Yu Qiao, Chaoning Zhang, Huy Q. Le, Avi Deb Raha, Apurba Adhikary, Choong Seon Hong
2023	—	`conf`	Layer-wise Knowledge Distillation for Cross-Device Federated Learning. ICOIN Huy Q. Le, Loc X. Nguyen, Seong-Bae Park, Choong Seon Hong
2023	J	`jnl`	MP-FedCL: Multi-Prototype Federated Contrastive Learning for Edge Intelligence. CoRR Yu Qiao, Md. Shirajum Munir, Apurba Adhikary, Huy Q. Le, Avi Deb Raha, Chaoning Zhang, Choong Seon Hong
2023	—	`conf`	Semantic Communication for AR-based Services in 5G and Beyond. ICOIN Nguyen Dang Tri, Loc X. Nguyen, Huy Q. Le, Kitae Kim, S. M. Ahsan Kazmi, Seong-Bae Park, Eui-Nam Huh, Choong Seon Hong
2023	J	`jnl`	Training A Semantic Communication System with Federated Learning. CoRR Loc X. Nguyen, Huy Q. Le, Ye Lin Tun, Pyae Sone Aung, Yan Kyaw Tun, Zhu Han, Choong Seon Hong
2022	C	`conf`	An Encouraging Design for Data Owners to Join Multiple Co-existing Federated Learning. APNOMS Loc X. Nguyen, Luyao Zou, Huy Q. Le, Choong Seon Hong
2022	J	`jnl`	CDKT-FL: Cross-Device Knowledge Transfer using Proxy Dataset in Federated Learning. CoRR Minh N. H. Nguyen, Huy Q. Le, Shashi Raj Pandey, Choong Seon Hong
2021	C	`conf`	Distilling Knowledge in Federated Learning. APNOMS Huy Q. Le, Jong Hoon Shin, Minh N. H. Nguyen, Choong Seon Hong