Chu Myaet Thwal

28 papers B 1Journal 22Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Multi-Prototype-Guided Federated Knowledge Distillation Approach in AI-RAN Enabled Multi-Access Edge Computing System. CoRR Luyao Zou, Hayoung Oh, Chu Myaet Thwal, Apurba Adhikary, Seohyeon Hong, Zhu Han
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`	Resource-Efficient Federated Multimodal Learning via Layer-Wise and Progressive Training. IEEE Internet Things J. Ye Lin Tun, Chu Myaet Thwal, Minh N. H. Nguyen, Choong Seon Hong
2025	B	`conf`	Towards Satellite Non-IID Imagery: A Spectral Clustering-Assisted Federated Learning Approach. NOMS Luyao Zou, Yu Min Park, Chu Myaet Thwal, Yan Kyaw Tun, Zhu Han, Choong Seon Hong
2024	J	`jnl`	Attention on Personalized Clinical Decision Support System: Federated Learning Approach. CoRR Chu Myaet Thwal, Kyi Thar, Ye Lin Tun, Choong Seon Hong
2024	J	`jnl`	CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance. CoRR Chu Myaet Thwal, Ye Lin Tun, Minh N. H. Nguyen, Eui-Nam Huh, 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`	LW-FedSSL: Resource-efficient Layer-wise Federated Self-supervised Learning. CoRR Ye Lin Tun, Chu Myaet Thwal, Le Quang Huy, Minh N. H. Nguyen, Choong Seon Hong
2024	J	`jnl`	OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning. CoRR Chu Myaet Thwal, Minh N. H. Nguyen, Ye Lin Tun, Seong Tae Kim, My T. Thai, Choong Seon Hong
2024	J	`jnl`	OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning. Neural Networks Chu Myaet Thwal, Minh N. H. Nguyen, Ye Lin Tun, Seong Tae Kim, My T. Thai, Choong Seon Hong
2024	J	`jnl`	Resource-Efficient Federated Multimodal Learning via Layer-wise and Progressive Training. CoRR Ye Lin Tun, Chu Myaet Thwal, Minh N. H. Nguyen, Choong Seon Hong
2024	J	`jnl`	Towards Satellite Non-IID Imagery: A Spectral Clustering-Assisted Federated Learning Approach. CoRR Luyao Zou, Yu Min Park, Chu Myaet Thwal, Yan Kyaw Tun, Zhu Han, Choong Seon Hong
2024	J	`jnl`	Transformers with Attentive Federated Aggregation for Time Series Stock Forecasting. CoRR Chu Myaet Thwal, Ye Lin Tun, Kitae Kim, Seong-Bae Park, Choong Seon Hong
2023	J	`jnl`	A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need? CoRR Chaoning Zhang, Chenshuang Zhang, Sheng Zheng, Yu Qiao, Chenghao Li, Mengchun Zhang, Sumit Kumar Dam, Chu Myaet Thwal, Ye Lin Tun, Le Luang Huy, Dong Uk Kim, Sung-Ho Bae, Lik-Hang Lee, Yang Yang, Heng Tao Shen, In So Kweon, Choong Seon Hong
2023	J	`jnl`	Contrastive encoder pre-training-based clustered federated learning for heterogeneous data. CoRR Ye Lin Tun, Minh N. H. Nguyen, Chu Myaet Thwal, Jinwoo Choi, Choong Seon Hong
2023	J	`jnl`	Contrastive encoder pre-training-based clustered federated learning for heterogeneous data. Neural Networks Ye Lin Tun, Minh N. H. Nguyen, Chu Myaet Thwal, Jinwoo Choi, Choong Seon Hong
2023	—	`conf`	Edge-assisted Attention-based Federated Learning for Multi-Step EVSE-enabled Prosumer Energy Demand Prediction. ICOIN Luyao Zou, Chu Myaet Thwal, Seong-Bae Park, 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	J	`jnl`	Federated Learning with Diffusion Models for Privacy-Sensitive Vision Tasks. CoRR Ye Lin Tun, Chu Myaet Thwal, Ji Su Yoon, Sun Moo Kang, Chaoning Zhang, Choong Seon Hong
2023	—	`conf`	Federated Learning with Intermediate Representation Regularization. BigComp Ye Lin Tun, Chu Myaet Thwal, Yu Min Park, Seong-Bae Park, Choong Seon Hong
2023	—	`conf`	Transformers with Attentive Federated Aggregation for Time Series Stock Forecasting. ICOIN Chu Myaet Thwal, Ye Lin Tun, Kitae Kim, Seong-Bae Park, Choong Seon Hong
2022	J	`jnl`	Federated Learning based Energy Demand Prediction with Clustered Aggregation. CoRR Ye Lin Tun, Kyi Thar, Chu Myaet Thwal, Choong Seon Hong
2022	J	`jnl`	Federated Learning with Intermediate Representation Regularization. CoRR Ye Lin Tun, Chu Myaet Thwal, Seong-Bae Park, Choong Seon Hong
2021	—	`conf`	Attention on Personalized Clinical Decision Support System: Federated Learning Approach. BigComp Chu Myaet Thwal, Kyi Thar, Ye Lin Tun, Choong Seon Hong
2021	—	`conf`	Federated Learning based Energy Demand Prediction with Clustered Aggregation. BigComp Ye Lin Tun, Kyi Thar, Chu Myaet Thwal, Choong Seon Hong