Ye Lin Tun

According to our database, Ye Lin Tun authored at least 17 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An Efficient Federated Learning Framework for Training Semantic Communication Systems.

Loc X. Nguyen, Huy Q. Le, Ye Lin Tun, Pyae Sone Aung, Yan Kyaw Tun, Zhu Han, Choong Seon Hong

IEEE Trans. Veh. Technol., October, 2024

Swin Transformer-Based Dynamic Semantic Communication for Multi-User With Different Computing Capacity.

Loc X. Nguyen, Ye Lin Tun, Yan Kyaw Tun, Minh N. H. Nguyen, Chaoning Zhang, Zhu Han, Choong Seon Hong

IEEE Trans. Veh. Technol., June, 2024

OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning.

Chu Myaet Thwal, Minh N. H. Nguyen, Ye Lin Tun, Seong Tae Kim, My T. Thai, Choong Seon Hong

Neural Networks, 2024

Resource-Efficient Federated Multimodal Learning via Layer-wise and Progressive Training.

Ye Lin Tun, Chu Myaet Thwal, Minh N. H. Nguyen, Choong Seon Hong

CoRR, 2024

Optimizing Multi-User Semantic Communication via Transfer Learning and Knowledge Distillation.

Loc X. Nguyen, Kitae Kim, Ye Lin Tun, Sheikh Salman Hassan, Yan Kyaw Tun, Zhu Han, Choong Seon Hong

CoRR, 2024

Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality.

Huy Q. Le, Chu Myaet Thwal, Yu Qiao, Ye Lin Tun, Minh N. H. Nguyen, Choong Seon Hong

CoRR, 2024

LW-FedSSL: Resource-efficient Layer-wise Federated Self-supervised Learning.

Ye Lin Tun, Chu Myaet Thwal, Le Quang Huy, Minh N. H. Nguyen, Choong Seon Hong

CoRR, 2024

2023

Contrastive encoder pre-training-based clustered federated learning for heterogeneous data.

Ye Lin Tun, Minh N. H. Nguyen, Chu Myaet Thwal, Jinwoo Choi, Choong Seon Hong

Neural Networks, August, 2023

Federated Learning with Diffusion Models for Privacy-Sensitive Vision Tasks.

Ye Lin Tun, Chu Myaet Thwal, Ji Su Yoon, Sun Moo Kang, Chaoning Zhang, Choong Seon Hong

CoRR, 2023

Training A Semantic Communication System with Federated Learning.

Loc X. Nguyen, Huy Q. Le, Ye Lin Tun, Pyae Sone Aung, Yan Kyaw Tun, Zhu Han, Choong Seon Hong

CoRR, 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, 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

CoRR, 2023

Transformers with Attentive Federated Aggregation for Time Series Stock Forecasting.

Chu Myaet Thwal, Ye Lin Tun, Kitae Kim, Seong-Bae Park, Choong Seon Hong

Proceedings of the International Conference on Information Networking, 2023

Federated Learning with Intermediate Representation Regularization.

Ye Lin Tun, Chu Myaet Thwal, Yu Min Park, Seong-Bae Park, Choong Seon Hong

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2023

2022

Federated Learning with Intermediate Representation Regularization.

Ye Lin Tun, Chu Myaet Thwal, Seong-Bae Park, Choong Seon Hong

CoRR, 2022

Clustering-Based Serverless Edge Computing Assisted Federated Learning for Energy Procurement.

Luyao Zou, Md. Shirajum Munir, Ye Lin Tun, Choong Seon Hong

Proceedings of the 23rd Asia-Pacific Network Operations and Management Symposium, 2022

2021

Federated Learning based Energy Demand Prediction with Clustered Aggregation.

Ye Lin Tun, Kyi Thar, Chu Myaet Thwal, Choong Seon Hong

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2021

Attention on Personalized Clinical Decision Support System: Federated Learning Approach.

Chu Myaet Thwal, Kyi Thar, Ye Lin Tun, Choong Seon Hong

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2021