Selected Publications

FLAME: Towards Federated Fine-Tuning Large Language Models Through Adaptive SMoE
Khiem Le, Tuan Tran, Ting Hua, Nitesh V. Chawla
arXiv preprint arXiv:2506.16600
📄 [Paper] | 💻 [Code]

An Empirical Study of Federated Learning on IoT-Edge Devices: Resource Allocation and Heterogeneity
Manh Nguyen-Duc^†, Khiem Le^†, Long Ho, Cuong Do, Danh Le-Phuoc, Kok-Seng Wong
arXiv preprint arXiv:2305.19831
📄 [Paper] | 💻 [Code]

Bridging the AI Adoption Gap: Designing An Interactive Pedagogical Agent for Higher Education Instructors
Si Chen, Reid Metoyer, Khiem Le, Adam Acunin, Izzy Molnar, Alex Ambrose, James Lang, Nitesh V. Chawla, Ronald Metoyer
Artificial Intelligence in Education. AIED 2025. Lecture Notes in Computer Science(), vol 15881. Springer, Cham
📄 [Paper]

AgentDrug: Utilizing Large Language Models in An Agentic Workflow for Zero-Shot Molecular Optimization
Khiem Le, Ting Hua, Nitesh V. Chawla
arXiv preprint arXiv:2410.13147
📄 [Paper] | 💻 [Code]

MolX: Enhancing Large Language Models for Molecular Understanding With A Multi-Modal Extension
Khiem Le, Zhichun Guo, Kaiwen Dong, Xiaobao Huang, Bozhao Nan, Roshni Iyer, Olaf Wiest, Wei Wang, Ting Hua, Nitesh V. Chawla
arXiv preprint arXiv:2406.06777
📄 [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]

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]

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]