Publications
Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization
Khiem Le, Long Ho, Cuong Do, Danh Le, Kok-Seng Wong
The 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition
📄 [Paper] | 💻 [Code]
FedFSLAR: A Federated Learning Framework for Few-Shot Action Recognition
Nguyen Anh Tu†, Assanali Abu†, Nartay Aikyn, Nursultan Makhanov, Min-Ho Lee, Khiem Le-Huy, Kok-Seng Wong
The 2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops
📄 [Paper] | 💻 [Code]
An Empirical Study of Federated Learning on IoT-Edge Devices: Resource Allocation
Kok-Seng Wong†, Manh Nguyen-Duc†, Khiem Le-Huy†, Long Ho-Tuan, Cuong Do-Danh, Danh Le-Phuoc
arXiv:2305.19831
📄 [Paper] | 💻 [Code]
HyperRouter: Toward Efficient Training and Inference of Sparse Mixture of Experts via HyperNetwork
GT Do, KH Le, TT Nguyen, QH Pham, BT Nguyen, TN Doan, C Liu, R Savitha, X Li, SCH Hoi
The 2023 Conference on Empirical Methods in Natural Language Processing
📄 [Paper] | 💻 [Code]
Enhancing Deep Learning-Based 3-Lead ECG Classification with Heartbeat Counting and Demographic Data Integration
Khiem H. Le, Hieu H. Pham, Thao BT. Nguyen, Tu A. Nguyen, Tien N. Thanh, Cuong D. Do
The 2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences
📄 [Paper] | 💻 [Code]
LightX3ECG: A Lightweight and Explainable Deep Learning System for 3-Lead Electrocardiogram Classification
Khiem H. Le, Hieu H. Pham, Thao BT. Nguyen, Tu A. Nguyen, Tien N. Thanh, Cuong D. Do
Biomedical Signal Processing and Control, Volume 85, 2023
📄 [Paper] | 💻 [Code]
Learning from Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis
Khiem H. Le†, Tuan V. Tran†, Hieu H. Pham, Hieu T. Nguyen, Tung T. Le, Ha Q. Nguyen
IEEE Access, Volume 11, 2023
📄 [Paper] | 💻 [Code]
Learning for Amalgamation: A Multi-Source Transfer Learning Framework for Text Classification
Cuong V. Nguyen, Khiem H. Le, Anh M. Tran, Quang H. Pham, Binh T. Nguyen
Information Sciences, Volume 590, 2022
📄 [Paper] | 💻 [Code]