GPRS and IS-136 integration for flexible network and services evolution. - Stefano M. Faccin; Liangchi Hsu; Rajeev Koodli; Khiem Le; René Purnadi (IEEE Wirel. Commun., 1999)

Efficient and robust header compression for real-time services. - Khiem Le; Chris Clanton; Zhigang Liu; Haihong Zheng (WCNC, 2000)

RObust Header Compression (ROHC): Framework and four profiles: RTP, UDP, ESP, and uncompressed. - Carsten Bormann; Carsten Burmeister; Mikael Degermark; Hideaki Fukushima; Hans Hannu; Lars-Erik Jonsson; Rolf Hakenberg; Tmima Koren; Khiem Le; Zhigang Liu 010; Anton Martensson; Akihiro Miyazaki; et al. (RFC, 2001)

Zero-byte Support for Bidirectional Reliable Mode (R-mode) in Extended Link-Layer Assisted RObust Header Compression (ROHC) Profile. - Zhigang Liu; Khiem Le (RFC, 2002)

Cross-layer optimization of transport protocols over wireless networks. - Yogesh Swami; Khiem Le; Shashikant Maheshwari; Naveen Kakani (ISWPC, 2008)

UIT at VBS 2022: An Unified and Interactive Video Retrieval System with Temporal Search. - Khanh Ho; Vu Xuan Dinh; Hong-Quang Nguyen; Khiem Le; Khang Dinh Tran; Tien Do; Tien-Dung Mai; Thanh Duc Ngo; Duy-Dinh Le (MMM (2), 2022)

Information Extraction from Rich Text Images with RoBERTa and LION Optimizer. - Thua Nguyen; Thuyen Tran Doan; Khiem Le; Tien Do; Thanh Duc Ngo; Duy-Dinh Le (MAPR, 2023)

Diverse Search Methods and Multi-Modal Fusion for High-Performance Video Retrieval. - Sieu Tran; Duc Minh Nguyen; Triet Huynh Minh Nguyen; Danh Phuc Ngo; Thu Minh Nguyen; Hao Vo; Khiem Le; Tien Do; Thanh Duc Ngo (SoICT, 2023)

HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts. - Giang Do; Khiem Le; Quang Pham; TrungTin Nguyen; Thanh-Nam Doan; Bint T. Nguyen; Chenghao Liu; Savitha Ramasamy; Xiaoli Li 001; Steven C. H. Hoi (CoRR, 2023)

Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization. - Khiem Le; Long Ho; Cuong Do 001; Danh Le Phuoc; Kok-Seng Wong (CVPR, 2024)

Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective. - Khiem Le; Nhan Luong-Ha; Manh Nguyen-Duc; Danh Le Phuoc; Cuong Do 001; Kok-Seng Wong (CoRR, 2024)

MolX: Enhancing Large Language Models for Molecular Learning with A Multi-Modal Extension. - Khiem Le; Zhichun Guo; Kaiwen Dong; Xiaobao Huang; Bozhao Nan; Roshni G. Iyer; Xiangliang Zhang 001; Olaf Wiest; Wei Wang 010; Nitesh V. Chawla (CoRR, 2024)

Utilizing Large Language Models in an iterative paradigm with Domain feedback for Zero-shot Molecule optimization. - Khiem Le; Nitesh V. Chawla (CoRR, 2024)

Key Information Extraction and Recognition from Rich Text Images. - Tien Do; Thuyen Tran Doan; Khiem Le; Thua Nguyen; Duy-Dinh Le; Thanh Duc Ngo (Vietnam. J. Comput. Sci., 2024)

Bridging the AI Adoption Gap: Designing an Interactive Pedagogical Agent for Higher Education Instructors. - Si Chen 006; Reid Metoyer; Khiem Le; Adam Acunin; Izzy Molnar; Alex Ambrose; James Lang; Nitesh V. Chawla; Ronald A. Metoyer (AIED (5), 2025)

VRAG: Retrieval-Augmented Video Question Answering for Long-Form Videos. - Bao Tran Gia; Khiem Le; Tien Do; Tien-Dung Mai; Thanh Duc Ngo; Duy-Dinh Le; Shin'ichi Satoh 001 (CVPR Workshops, 2025)

NII-UIT at VBS2025: Multimodal Video Retrieval with LLM Integration and Dynamic Temporal Search. - 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 001 (MMM (5), 2025)

FLAME: Towards Federated Fine-Tuning Large Language Models Through Adaptive SMoE. - Khiem Le; Tuan Tran; Ting Hua; Nitesh V. Chawla (CoRR, 2025)