Ye Lin Tun

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 20

Top Topics

Diffusion Models

Heterogeneous Data

Intermediate Representations

Top Venues

Neural Networks

IEEE Trans. Veh. Technol.

Publications

Ye Lin Tun, Chu Myaet Thwal, Minh N. H. Nguyen, Choong Seon Hong
Resource-Efficient Federated Multimodal Learning via Layer-wise and Progressive Training. CoRR (2024)
Loc X. Nguyen, Ye Lin Tun, Yan Kyaw Tun, Minh N. H. Nguyen, Chaoning Zhang, Zhu Han, Choong Seon Hong
Swin Transformer-Based Dynamic Semantic Communication for Multi-User With Different Computing Capacity. IEEE Trans. Veh. Technol. 73 (6) (2024)
Loc X. Nguyen, Kitae Kim, Ye Lin Tun, Sheikh Salman Hassan, Yan Kyaw Tun, Zhu Han, Choong Seon Hong
Optimizing Multi-User Semantic Communication via Transfer Learning and Knowledge Distillation. CoRR (2024)
Huy Q. Le, Chu Myaet Thwal, Yu Qiao, Ye Lin Tun, Minh N. H. Nguyen, Choong Seon Hong
Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality. CoRR (2024)
Chu Myaet Thwal, Minh N. H. Nguyen, Ye Lin Tun, Seong Tae Kim, My T. Thai, Choong Seon Hong
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning. CoRR (2024)
Chu Myaet Thwal, Ye Lin Tun, Kitae Kim, Seong-Bae Park, Choong Seon Hong
Transformers with Attentive Federated Aggregation for Time Series Stock Forecasting. CoRR (2024)
Chu Myaet Thwal, Kyi Thar, Ye Lin Tun, Choong Seon Hong
Attention on Personalized Clinical Decision Support System: Federated Learning Approach. CoRR (2024)
Ye Lin Tun, Chu Myaet Thwal, Le Quang Huy, Minh N. H. Nguyen, Choong Seon Hong
LW-FedSSL: Resource-efficient Layer-wise Federated Self-supervised Learning. CoRR (2024)
Chu Myaet Thwal, Minh N. H. Nguyen, Ye Lin Tun, Seong Tae Kim, My T. Thai, Choong Seon Hong
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning. Neural Networks 170 (2024)
Ye Lin Tun, Minh N. H. Nguyen, Chu Myaet Thwal, Jinwoo Choi, Choong Seon Hong
Contrastive encoder pre-training-based clustered federated learning for heterogeneous data. Neural Networks 165 (2023)
Ye Lin Tun, Minh N. H. Nguyen, Chu Myaet Thwal, Jinwoo Choi, Choong Seon Hong
Contrastive encoder pre-training-based clustered federated learning for heterogeneous data. CoRR (2023)
Loc X. Nguyen, Huy Q. Le, Ye Lin Tun, Pyae Sone Aung, Yan Kyaw Tun, Zhu Han, Choong Seon Hong
Training A Semantic Communication System with Federated Learning. CoRR (2023)
Loc X. Nguyen, Ye Lin Tun, Yan Kyaw Tun, Minh N. H. Nguyen, Chaoning Zhang, Zhu Han, Choong Seon Hong
Swin Transformer-Based Dynamic Semantic Communication for Multi-User with Different Computing Capacity. CoRR (2023)
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
A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need? CoRR (2023)
Chu Myaet Thwal, Ye Lin Tun, Kitae Kim, Seong-Bae Park, Choong Seon Hong
Transformers with Attentive Federated Aggregation for Time Series Stock Forecasting. ICOIN (2023)
Ye Lin Tun, Chu Myaet Thwal, Yu Min Park, Seong-Bae Park, Choong Seon Hong
Federated Learning with Intermediate Representation Regularization. BigComp (2023)
Ye Lin Tun, Chu Myaet Thwal, Ji Su Yoon, Sun Moo Kang, Chaoning Zhang, Choong Seon Hong
Federated Learning with Diffusion Models for Privacy-Sensitive Vision Tasks. CoRR (2023)
Ye Lin Tun, Kyi Thar, Chu Myaet Thwal, Choong Seon Hong
Federated Learning based Energy Demand Prediction with Clustered Aggregation. CoRR (2022)
Luyao Zou, Md. Shirajum Munir, Ye Lin Tun, Choong Seon Hong
Clustering-Based Serverless Edge Computing Assisted Federated Learning for Energy Procurement. APNOMS (2022)
Ye Lin Tun, Chu Myaet Thwal, Seong-Bae Park, Choong Seon Hong
Federated Learning with Intermediate Representation Regularization. CoRR (2022)