Le Huy Khiem

PhD student, Department of Computer Science and Engineering, University of Notre Dame

Joined

June 2022

Names

Le Huy Khiem (Preferred)

Le Khiem

Khiem Le

Emails

****@gmail.com (Confirmed)

****@vinuni.edu.vn (Confirmed)

****@nd.edu (Confirmed)

Personal Links

Career & Education History

PhD student

Department of Computer Science and Engineering, University of Notre Dame (nd.edu)

2024 – Present

Researcher

College of Engineering and Computer Science, VinUniversity (vinuni.edu.vn)

2022 – 2023

Advisors, Relations & Conflicts

PhD Advisor

Nitesh V Chawla

2024 – Present

Coauthor

Kok-Seng Wong

2022 – Present

Expertise

Machine Learning

2020 – Present

Deep Learning

2020 – Present

Publications

Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization
Le Huy Khiem, Long Tuan Ho, Cuong Do, Danh Le-Phuoc, Kok-Seng Wong
- CVPR 2024
- Readers: Everyone
Dynamic Noise Preference Optimization: Self-Improvement of Large Language Models with Self-Synthetic Data
Haoyan Yang, Le Huy Khiem, Ting Hua, Shangqian Gao, Binfeng Xu, Zheng Tang, Jie Xu, Nitesh V. Chawla, Hongxia Jin, Vijay Srinivasan
- ICLR 2026 Workshop RSI Poster
- Readers: Everyone
BloomQA: Automated Benchmark Generation from Domain Guidelines Using Bloom's Taxonomy
Si Chen, Le Huy Khiem, Annalisa Szymanski, Ronald Metoyer, Ting Hua, Nitesh V Chawla
- ICLR 2026 Conference Desk Rejected Submission
- Readers: Everyone
SimInstruct: A Responsible Tool for Collecting Scaffolding Dialogues Between Experts and LLM-Simulated Novices
Si Chen, Izzy Molnar, Ting Hua, Peiyu Li, Khiem Le, Alex Ambrose, James Lang, Ronald A. Metoyer, Nitesh V. Chawla
- CoRR 2025
- Readers: Everyone
MolX: Enhancing Large Language Models for Molecular Understanding With A Multi-Modal Extension
Le Huy Khiem, Zhichun Guo, Kaiwen Dong, Xiaobao Huang, Bozhao Nan, Roshni Iyer, Xiangliang Zhang, Olaf Wiest, Wei Wang, Ting Hua, Nitesh V Chawla
- MLoG-GenAI@KDD Oral
- Readers: Everyone
FLAME: Towards Federated Fine-Tuning Large Language Models Through Adaptive SMoE
Khiem Le, Tuan Tran, Ting Hua, Nitesh V. Chawla
- CoRR 2025
- Readers: Everyone
Revisiting Sparse Mixture of Experts for Resource-adaptive Federated Fine-tuning Foundation Models
Van-Tuan Tran, Le Huy Khiem, Quoc-Viet Pham
- MCDC @ ICLR 2025
- Readers: Everyone
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 A. Metoyer
- AIED (5) 2025
- Readers: Everyone
A novel deep learning-based approach for sleep apnea detection using single-lead ECG signals
Thao Nguyen, Hieu Pham, Le Huy Khiem, Cuong Do
- Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)
- Readers: Everyone
Enhancing Deep Learning-based 3-lead ECG Classification with Heartbeat Counting and Demographic Data Integration
Le Huy Khiem, Hieu Pham, Thao Nguyen, Cuong Do
- 2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES)
- Readers: Everyone

View all 21 publications

Co-Authors

View all 60 co-authors