Khiem Le

27 papers A* 1B 1Journal 15Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
An Empirical Study of Federated Learning on IoT-Edge Devices: Resource Allocation and Heterogeneity.
IEEE Trans. Neural Networks Learn. Syst.
Kok-Seng Wong, Manh Nguyen-Duc, Khiem Le, Long Ho, Cuong Do, Danh Le Phuoc
2026 J jnl
Generalist Large Language Models for Molecular Property Prediction: Distilling Knowledge from Specialist Models.
CoRR
Khiem Le, Sreejata Dey, Marcos Martínez Galindo, Vanessa López, Ting Hua, Nitesh V. Chawla, Hoang Thanh Lam
2026 J jnl
Transform-Augmented GRPO Improves Pass@k.
CoRR
Khiem Le, Youssef Mroueh, Phuc Nguyen, Chi-Heng Lin, Shangqian Gao, Ting Hua, Nitesh V. Chawla
2025 — conf
Bridging the AI Adoption Gap: Designing an Interactive Pedagogical Agent for Higher Education Instructors.
AIED (5)
Si Chen, Reid Metoyer, Khiem Le, Adam Acunin, Izzy Molnar, Alex Ambrose, James Lang, Nitesh V. Chawla, Ronald A. Metoyer
2025 J jnl
Bridging the AI Adoption Gap: Designing an Interactive Pedagogical Agent for Higher Education Instructors.
CoRR
Si Chen, Reid Metoyer, Khiem Le, Adam Acunin, Izzy Molnar, Alex Ambrose, James Lang, Nitesh V. Chawla, Ronald A. Metoyer
2025 J jnl
FLAME: Towards Federated Fine-Tuning Large Language Models Through Adaptive SMoE.
CoRR
Khiem Le, Tuan Tran, Ting Hua, Nitesh V. Chawla
2025 — conf
Generalizable Sign Language Recognition via Local Temporal Convolutions and Region-Aware Pose Encoding.
ICCVW
Sieu Tran, Duc Nguyen Minh, Truong Nguyen Thanh, Hao Vo, Thanh Duc Ngo, Tien Do, Khiem Le, Duy-Dinh Le
2025 — conf
NII-UIT at VBS2025: Multimodal Video Retrieval with LLM Integration and Dynamic Temporal Search.
MMM (5)
Bao Tran Gia, Tuong Bui Cong Khanh, Tam Le Thi Thanh, Thuyen Tran Doan, Khiem Le, Tien Do, Tien-Dung Mai, Thanh Duc Ngo, Duy-Dinh Le, Shin'ichi Satoh
2025 — conf
Region-Aware Pose Modeling and Permutation Decoding for Signer-Independent Sign Language Recognition.
ICCVW
Sieu Tran, Duc Nguyen Minh, Truong Nguyen Thanh, Hao Vo, Thanh Duc Ngo, Tien Do, Khiem Le, Duy-Dinh Le
2025 J jnl
SimInstruct: A Responsible Tool for Collecting Scaffolding Dialogues Between Experts and LLM-Simulated Novices.
CoRR
Si Chen, Izzy Molnar, Ting Hua, Peiyu Li, Khiem Le, Alex Ambrose, James Lang, Ronald A. Metoyer, Nitesh V. Chawla
2025 — conf
Skeleton-Guided Artistic Text Recognition.
ICDAR (5)
Tien Do, Thuyen Tran, Khiem Le, Duy-Dinh Le, Thanh Duc Ngo
2025 — conf
VRAG: Retrieval-Augmented Video Question Answering for Long-Form Videos.
CVPR Workshops
Bao Tran Gia, Khiem Le, Tien Do, Tien-Dung Mai, Thanh Duc Ngo, Duy-Dinh Le, Shin'ichi Satoh
2024 A* conf
Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization.
CVPR
Khiem Le, Long Ho, Cuong Do, Danh Le Phuoc, Kok-Seng Wong
2024 J jnl
Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization.
CoRR
Khiem Le, Long Ho, Cuong Do, Danh Le Phuoc, Kok-Seng Wong
2024 J jnl
Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective.
CoRR
Khiem Le, Tri Nhan Luong Ha, Manh Nguyen-Duc, Danh Le Phuoc, Cuong Do, Kok-Seng Wong
2024 J jnl
Key Information Extraction and Recognition from Rich Text Images.
Vietnam. J. Comput. Sci.
Tien Do, Thuyen Tran Doan, Khiem Le, Thua Nguyen, Duy-Dinh Le, Thanh Duc Ngo
2024 J jnl
MolX: Enhancing Large Language Models for Molecular Learning with A Multi-Modal Extension.
CoRR
Khiem Le, Zhichun Guo, Kaiwen Dong, Xiaobao Huang, Bozhao Nan, Roshni G. Iyer, Xiangliang Zhang, Olaf Wiest, Wei Wang, Nitesh V. Chawla
2024 J jnl
Utilizing Large Language Models in an iterative paradigm with Domain feedback for Zero-shot Molecule optimization.
CoRR
Khiem Le, Nitesh V. Chawla
2023 — conf
Diverse Search Methods and Multi-Modal Fusion for High-Performance Video Retrieval.
SoICT
Sieu Tran, Duc Minh Nguyen, Triet Huynh Minh Nguyen, Danh Phuc Ngo, Thu Minh Nguyen, Hao Vo, Khiem Le, Tien Do, Thanh Duc Ngo
2023 J jnl
HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts.
CoRR
Giang Do, Khiem Le, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Bint T. Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi
2023 — conf
Information Extraction from Rich Text Images with RoBERTa and LION Optimizer.
MAPR
Thua Nguyen, Thuyen Tran Doan, Khiem Le, Tien Do, Thanh Duc Ngo, Duy-Dinh Le
2022 — conf
UIT at VBS 2022: An Unified and Interactive Video Retrieval System with Temporal Search.
MMM (2)
Khanh Ho, Vu Xuan Dinh, Hong-Quang Nguyen, Khiem Le, Khang Dinh Tran, Tien Do, Tien-Dung Mai, Thanh Duc Ngo, Duy-Dinh Le
2008 — conf
Cross-layer optimization of transport protocols over wireless networks.
ISWPC
Yogesh Swami, Khiem Le, Shashikant Maheshwari, Naveen Kakani
2002 J jnl
Zero-byte Support for Bidirectional Reliable Mode (R-mode) in Extended Link-Layer Assisted RObust Header Compression (ROHC) Profile.
RFC
Zhigang Liu, Khiem Le
2001 J jnl
RObust Header Compression (ROHC): Framework and four profiles: RTP, UDP, ESP, and uncompressed.
RFC
Carsten Bormann, Carsten Burmeister, Mikael Degermark, Hideaki Fukushima, Hans Hannu, Lars-Erik Jonsson, Rolf Hakenberg, Tmima Koren, Khiem Le, Zhigang Liu, Anton Martensson, Akihiro Miyazaki, Krister Svanbro, Thomas Wiebke, Takeshi Yoshimura, Haihong Zheng
2000 B conf
Efficient and robust header compression for real-time services.
WCNC
Khiem Le, Chris Clanton, Zhigang Liu, Haihong Zheng
1999 J jnl
GPRS and IS-136 integration for flexible network and services evolution.
IEEE Wirel. Commun.
Stefano M. Faccin, Liangchi Hsu, Rajeev Koodli, Khiem Le, René Purnadi