collaborators

13 papers

cs.CV2026

CG-GLORE: A Conjugate Gradient-Based Global-Local Regularization Network for Sparse-View CT Reconstruction

Tran Xuan Hieu Le, Doanh C. Bui, Vu Trung Duong Le +5

Sparse-view computed tomography (CT) reduces radiation dose by acquiring fewer projection views, but the resulting inverse problem is highly ill-posed and often produces severe str…

quant-ph2026

Qimax: Efficient quantum simulation via GPU-accelerated extended stabilizer formalism

Vu Tuan Hai, Bui Cao Doanh, Le Vu Trung Duong +2

Simulating Clifford and near-Clifford circuits using the extended stabilizer formalism has become increasingly popular, particularly in quantum error correction. Compared to the st…

cs.AR2026

Crypto-RV: High-Efficiency FPGA-Based RISC-V Cryptographic Co-Processor for IoT Security

Anh Kiet Pham, Van Truong Vo, Vu Trung Duong Le +4

Cryptographic operations are critical for securing IoT, edge computing, and autonomous systems. However, current RISC-V platforms lack efficient hardware support for comprehensive…

quant-ph2026

PACOX: A FPGA-based Pauli Composer Accelerator for Pauli String Computation

Tran Xuan Hieu Le, Tuan Hai Vu, Vu Trung Duong Le +2

Pauli strings are a fundamental computational primitive in hybrid quantum-classical algorithms. However, classical computation of Pauli strings suffers from exponential complexity…

cs.CR2026

A Protocol-Aware P4 Pipeline for MQTT Security and Anomaly Mitigation in Edge IoT Systems

Bui Ngoc Thanh Binh, Pham Hoai Luan, Le Vu Trung Duong +2

MQTT is the dominant lightweight publish--subscribe protocol for IoT deployments, yet edge security remains inadequate. Cloud-based intrusion detection systems add latency that is…

cs.CV2025

MergeSlide: Continual Model Merging and Task-to-Class Prompt-Aligned Inference for Lifelong Learning on Whole Slide Images

Doanh C. Bui, Ba Hung Ngo, Hoai Luan Pham +3

Lifelong learning on Whole Slide Images (WSIs) aims to train or fine-tune a unified model sequentially on cancer-related tasks, reducing the resources and effort required for data…