1 citations · 2 across the 12 of their papers we have counts for
13 papers
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…
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…
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…
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…
HPQEA: A Scalable and High-Performance Quantum Emulator with High-Bandwidth Memory for Diverse Algorithms Support
Tran Van Duy, Tuan Hai Vu, Vu Trung Duong Le +2
In recent years, there has been a growing interest in the development of quantum emulation. However, existing studies often struggle to achieve broad applicability, high performanc…
Transfer-Based Strategies for Multi-Target Quantum Optimization
Vu Tuan Hai, Bui Cao Doanh, Le Vu Trung Duong +2
We address the challenge of multi-target quantum optimization, where the objective is to simultaneously optimize multiple cost functions defined over the same quantum search space.…
Medalyze: Lightweight Medical Report Summarization Application Using FLAN-T5-Large
Van-Tinh Nguyen, Hoang-Duong Pham, Thanh-Hai To +4
Understanding medical texts presents significant challenges due to complex terminology and context-specific language. This paper introduces Medalyze, an AI-powered application desi…
AES-RV: Hardware-Efficient RISC-V Accelerator with Low-Latency AES Instruction Extension for IoT Security
Van Tinh Nguyen, Phuc Hung Pham, Vu Trung Duong Le +3
The Advanced Encryption Standard (AES) is a widely adopted cryptographic algorithm essential for securing embedded systems and IoT platforms. However, existing AES hardware acceler…
ZeroSlide: Is Zero-Shot Classification Adequate for Lifelong Learning in Whole-Slide Image Analysis in the Era of Pathology Vision-Language Foundation Models?
Doanh C. Bui, Hoai Luan Pham, Vu Trung Duong Le +3
Lifelong learning for whole slide images (WSIs) poses the challenge of training a unified model to perform multiple WSI-related tasks, such as cancer subtyping and tumor classifica…
QEA: An Accelerator for Quantum Circuit Simulation with Resources Efficiency and Flexibility
Van Duy Tran, Tuan Hai Vu, Vu Trung Duong Le +2
The area of quantum circuit simulation has attracted a lot of attention in recent years. However, due to the exponentially increasing computational costs, assessing and validating…
FQsun: A Configurable Wave Function-Based Quantum Emulator for Power-Efficient Quantum Simulations
Tuan Hai Vu, Vu Trung Duong Le, Hoai Luan Pham +2
Quantum computers are promising powerful computers for solving complex problems, but access to real quantum hardware remains limited due to high costs. Although the software simula…
Theoretical Analysis of the Efficient-Memory Matrix Storage Method for Quantum Emulation Accelerators with Gate Fusion on FPGAs
Tran Xuan Hieu Le, Hoai Luan Pham, Tuan Hai Vu +2
Quantum emulators play an important role in the development and testing of quantum algorithms, especially given the limitations of the current FTQC era. Developing high-speed, memo…
Efficiently-Verifiable Strong Uniquely Solvable Puzzles and Matrix Multiplication
Matthew Anderson, Vu Le
We advance the Cohn-Umans framework for developing fast matrix multiplication algorithms. We introduce, analyze, and search for a new subclass of strong uniquely solvable puzzles (…