Selected Publications

An agentic workflow utilizing Large Language Models with reliable domain feedback for zero-shot molecular optimization
Khiem Le, Nitesh V. Chawla
arXiv:2410.13147
📄 [Paper] | 💻 [Code]

MolX: Enhancing Large Language Models for molecule-related tasks with a multi-modal extension
Khiem Le, Zhichun Guo, Kaiwen Dong, Xiaobao Huang, Bozhao Nan, Roshni Iyer, Olaf Wiest, Wei Wang, Nitesh V. Chawla
arXiv:2406.06777
📄 [Paper] | 💻 [Code]

HyperRouter: Towards efficient training and inference of Sparse Mixture of Experts via Hypernetwork
Giang Do, Khiem Le, Quang Pham, Tin Nguyen, Nam Doan, Binh Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven Hoi
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 5754–5765, Singapore. Association for Computational Linguistics
📄 [Paper] | 💻 [Code]

Efficient assembling of normalization layers and regularization for Federated Domain Generalization
Khiem Le, Long Ho, Cuong Do, Danh Le-Phuoc, Kok-Seng Wong
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, pp. 6027-6036
📄 [Paper] | 💻 [Code]

An empirical study of Federated Learning on IoT-edge devices focusing on resource allocation and heterogeneity
Manh Nguyen-Duc^†, Khiem Le^†, Long Ho, Cuong Do, Danh Le-Phuoc, Kok-Seng Wong
arXiv:2305.19831
📄 [Paper] | 💻 [Code]

Enhancing Deep Learning-based 3-lead ECG classification with heartbeat counting and demographic data integration
Khiem H. Le, Hieu H. Pham, Thao B.T. Nguyen, Tu A. Nguyen, Tien N. Thanh, Cuong D. Do
2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), Kuala Lumpur, Malaysia, 2022, pp. 154-159
📄 [Paper] | 💻 [Code]

LightX3ECG: A lightweight and explainable Deep Learning system for 3-lead ECG classification
Khiem H. Le, Hieu H. Pham, Thao B.T. Nguyen, Tu A. Nguyen, Tien N. Thanh, Cuong D. Do
Biomedical Signal Processing and Control Volume 85, August 2023, 104963
📄 [Paper] | 💻 [Code]

Learning from multiple 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, vol. 11, pp. 14105-14114, 2023
📄 [Paper] | 💻 [Code]

Learning for amalgamation: A multi-source Transfer Learning framework for Vietnamese sentiment classification
Cuong V. Nguyen, Khiem H. Le, Anh M. Tran, Quang H. Pham, Binh T. Nguyen
Information Sciences Volume 590, April 2022, Pages 1-14
📄 [Paper] | 💻 [Code]

A novel approach for enhancing Vietnamese sentiment classification
Cuong V. Nguyen, Khiem H. Le, Binh T. Nguyen
Advances and Trends in Artificial Intelligence. From Theory to Practice. IEA/AIE 2021. Lecture Notes in Computer Science(), vol 12799. Springer, Cham
📄 [Paper] | 💻 [Code]