Attention on Personalized Clinical Decision Support System: Federated Learning Approach. - Chu Myaet Thwal; Kyi Thar; Ye Lin Tun 001; Choong Seon Hong (BigComp, 2021)

Federated Learning based Energy Demand Prediction with Clustered Aggregation. - Ye Lin Tun 001; Kyi Thar; Chu Myaet Thwal; Choong Seon Hong (BigComp, 2021)

Federated Learning with Intermediate Representation Regularization. - Ye Lin Tun 001; Chu Myaet Thwal; Seong-Bae Park; Choong Seon Hong (CoRR, 2022)

Federated Learning with Intermediate Representation Regularization. - Ye Lin Tun 001; Chu Myaet Thwal; Yu Min Park; Seong-Bae Park; Choong Seon Hong (BigComp, 2023)

Transformers with Attentive Federated Aggregation for Time Series Stock Forecasting. - Chu Myaet Thwal; Ye Lin Tun 001; Kitae Kim 001; Seong-Bae Park; Choong Seon Hong (ICOIN, 2023)

Edge-assisted Attention-based Federated Learning for Multi-Step EVSE-enabled Prosumer Energy Demand Prediction. - Luyao Zou; Chu Myaet Thwal; Seong-Bae Park; Choong Seon Hong (ICOIN, 2023)

A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need? - Chaoning Zhang; Chenshuang Zhang; Sheng Zheng; Yu Qiao 004; Chenghao Li; Mengchun Zhang; Sumit Kumar Dam; Chu Myaet Thwal; Ye Lin Tun 001; Le Luang Huy; Dong Uk Kim; Sung-Ho Bae; et al. (CoRR, 2023)

Federated Learning with Diffusion Models for Privacy-Sensitive Vision Tasks. - Ye Lin Tun 001; Chu Myaet Thwal; Ji Su Yoon; Sun Moo Kang; Chaoning Zhang; Choong Seon Hong (CoRR, 2023)

Contrastive encoder pre-training-based clustered federated learning for heterogeneous data. - Ye Lin Tun 001; Minh N. H. Nguyen; Chu Myaet Thwal; Jinwoo Choi 001; Choong Seon Hong (Neural Networks, 2023)

LW-FedSSL: Resource-efficient Layer-wise Federated Self-supervised Learning. - Ye Lin Tun 001; Chu Myaet Thwal; Le Quang Huy; Minh N. H. Nguyen; Choong Seon Hong (CoRR, 2024)

Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality. - Huy Q. Le; Chu Myaet Thwal; Yu Qiao 004; Ye Lin Tun 001; Minh N. H. Nguyen; Choong Seon Hong (CoRR, 2024)

Cyber Attacks Prevention Towards Prosumer-based EV Charging Stations: An Edge-assisted Federated Prototype Knowledge Distillation Approach. - Luyao Zou; Quang Hieu Vo; Kitae Kim 001; Huy Q. Le; Chu Myaet Thwal; Chaoning Zhang; Choong Seon Hong (CoRR, 2024)

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance. - Chu Myaet Thwal; Ye Lin Tun 001; Minh N. H. Nguyen; Eui-Nam Huh; Choong Seon Hong (CoRR, 2024)

OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning. - Chu Myaet Thwal; Minh N. H. Nguyen; Ye Lin Tun 001; Seong Tae Kim 001; My T. Thai; Choong Seon Hong (Neural Networks, 2024)

Towards Satellite Non-IID Imagery: A Spectral Clustering-Assisted Federated Learning Approach. - Luyao Zou; Yu Min Park; Chu Myaet Thwal; Yan Kyaw Tun; Zhu Han 001; Choong Seon Hong (NOMS, 2025)

Cross-modal prototype based multimodal federated learning under severely missing modality. - Huy Q. Le; Chu Myaet Thwal; Yu Qiao 004; Ye Lin Tun 001; Minh N. H. Nguyen; Eui-Nam Huh; Choong Seon Hong (Inf. Fusion, 2025)

FedMEKT: Distillation-based embedding knowledge transfer for multimodal federated learning. - Huy Q. Le; Minh N. H. Nguyen; Chu Myaet Thwal; Yu Qiao 004; Chaoning Zhang; Choong Seon Hong (Neural Networks, 2025)

Cyber Attacks Prevention Toward Prosumer-Based EV Charging Stations: An Edge-Assisted Federated Prototype Knowledge Distillation Approach. - Luyao Zou; Quang Hieu Vo; Kitae Kim 001; Huy Q. Le; Chu Myaet Thwal; Chaoning Zhang; Choong Seon Hong (IEEE Trans. Netw. Serv. Manag., 2025)

Resource-Efficient Federated Multimodal Learning via Layer-Wise and Progressive Training. - Ye Lin Tun 001; Chu Myaet Thwal; Minh N. H. Nguyen; Choong Seon Hong (IEEE Internet Things J., 2025)