Ye Lin Tun - RankMe

28 papers C 1Journal 23Unranked 4

Year	Rank	Type	Title / Venue / Authors
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`	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`	Optimizing Multi-User Semantic Communication via Transfer Learning and Knowledge Distillation. IEEE Commun. Lett. Loc X. Nguyen, Kitae Kim, Ye Lin Tun, Sheikh Salman Hassan, Yan Kyaw Tun, Zhu Han, 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
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`	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`	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`	Optimizing Multi-User Semantic Communication via Transfer Learning and Knowledge Distillation. CoRR Loc X. Nguyen, Kitae Kim, Ye Lin Tun, Sheikh Salman Hassan, Yan Kyaw Tun, Zhu Han, 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`	Swin Transformer-Based Dynamic Semantic Communication for Multi-User With Different Computing Capacity. IEEE Trans. Veh. Technol. Loc X. Nguyen, Ye Lin Tun, Yan Kyaw Tun, Minh N. H. Nguyen, Chaoning Zhang, 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	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	J	`jnl`	Swin Transformer-Based Dynamic Semantic Communication for Multi-User with Different Computing Capacity. CoRR Loc X. Nguyen, Ye Lin Tun, Yan Kyaw Tun, Minh N. H. Nguyen, Chaoning Zhang, Zhu Han, 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
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	C	`conf`	Clustering-Based Serverless Edge Computing Assisted Federated Learning for Energy Procurement. APNOMS Luyao Zou, Md. Shirajum Munir, Ye Lin Tun, 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