3 citations · 5 across the 5 of their papers we have counts for
5 papers
Non-Hemolytic Peptide Classification Using A Quantum Support Vector Machine
Shengxin Zhuang, John Tanner, Yusen Wu +7
Quantum machine learning (QML) is one of the most promising applications of quantum computation. However, it is still unclear whether quantum advantages exist when the data is of a…
Improving VTE Identification through Adaptive NLP Model Selection and Clinical Expert Rule-based Classifier from Radiology Reports
Jamie Deng, Yusen Wu, Hilary Hayssen +8
Rapid and accurate identification of Venous thromboembolism (VTE), a severe cardiovascular condition including deep vein thrombosis (DVT) and pulmonary embolism (PE), is important…
Trainability Analysis of Quantum Optimization Algorithms from a Bayesian Lens
Yanqi Song, Yusen Wu, Sujuan Qin +3
The Quantum Approximate Optimization Algorithm (QAOA) is an extensively studied variational quantum algorithm utilized for solving optimization problems on near-term quantum device…
Enabling Quartile-based Estimated-Mean Gradient Aggregation As Baseline for Federated Image Classifications
Yusen Wu, Jamie Deng, Hao Chen +2
Federated Learning (FL) has revolutionized how we train deep neural networks by enabling decentralized collaboration while safeguarding sensitive data and improving model performan…
Soft Merging: A Flexible and Robust Soft Model Merging Approach for Enhanced Neural Network Performance
Hao Chen, Yusen Wu, Phuong Nguyen +2
Stochastic Gradient Descent (SGD), a widely used optimization algorithm in deep learning, is often limited to converging to local optima due to the non-convex nature of the problem…