4 citations · 6 across the 12 of their papers we have counts for
14 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…
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…
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.…
Lifelong Whole Slide Image Analysis: Online Vision-Language Adaptation and Past-to-Present Gradient Distillation
Doanh C. Bui, Hoai Luan Pham, Vu Trung Duong Le +4
Whole Slide Images (WSIs) play a crucial role in accurate cancer diagnosis and prognosis, as they provide tissue details at the cellular level. However, the rapid growth of computa…
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…
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…
Parallelizing the stabilizer formalism for quantum machine learning applications
Vu Tuan Hai, Le Vu Trung Duong, Pham Hoai Luan +1
The quantum machine learning model is emerging as a new model that merges quantum computing and machine learning. Simulating very deep quantum machine learning models requires a lo…
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…
Exploring the Limitations of Kolmogorov-Arnold Networks in Classification: Insights to Software Training and Hardware Implementation
Van Duy Tran, Tran Xuan Hieu Le, Thi Diem Tran +5
Kolmogorov-Arnold Networks (KANs), a novel type of neural network, have recently gained popularity and attention due to the ability to substitute multi-layer perceptions (MLPs) in…