Yanghe Feng
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View article: Federated Optimization Under Intermittent Client Availability
Federated Optimization Under Intermittent Client Availability Open
Federated learning is a new distributed machine learning framework, where numerous heterogeneous clients collaboratively train a model without sharing training data. In this work, we consider a practical and ubiquitous issue when deploying…
View article: Graph-Attention-Based Casual Discovery With Trust Region-Navigated Clipping Policy Optimization
Graph-Attention-Based Casual Discovery With Trust Region-Navigated Clipping Policy Optimization Open
In many domains of empirical sciences, discovering the causal structure within variables remains an indispensable task. Recently, to tackle unoriented edges or latent assumptions violation suffered by conventional methods, researchers form…
View article: Construction and confirmatory factor analysis of the core cognitive ability index system of ship C2 system operators
Construction and confirmatory factor analysis of the core cognitive ability index system of ship C2 system operators Open
Through the research of this paper, the index system which can express the core cognitive ability of the commander of command and control system is successfully constructed, and the index system has been fully verified by mathematics. The …
View article: Deep Multi-View Spatiotemporal Virtual Graph Neural Network for Significant Citywide Ride-hailing Demand Prediction
Deep Multi-View Spatiotemporal Virtual Graph Neural Network for Significant Citywide Ride-hailing Demand Prediction Open
Urban ride-hailing demand prediction is a crucial but challenging task for intelligent transportation system construction. Predictable ride-hailing demand can facilitate more reasonable vehicle scheduling and online car-hailing platform di…
View article: On the Dispersion Measures of Complex Uncertain Random Variables
On the Dispersion Measures of Complex Uncertain Random Variables Open
In probability theory, variance is a device to measure dispersion of random variable from its mean. In order to explain complex uncertain random variable,variance and pseudo-variance are provided. For computing the variance of uncertain ra…
View article: A Review of Naturalistic Decision-Making and Its Applications to the Future Military
A Review of Naturalistic Decision-Making and Its Applications to the Future Military Open
Nearly 30 years have passed since Naturalistic Decision-Making (NDM) was introduced in 1989, and NDM has developed rapidly in recent years. The purpose of this paper is to discuss all background information relevant to the field of Decisio…
View article: Efficient Data Mining Algorithms for Screening Potential Proteins of Drug Target
Efficient Data Mining Algorithms for Screening Potential Proteins of Drug Target Open
The past few decades have witnessed the boom in pharmacology as well as the dilemma of drug development. Playing a crucial role in drug design, the screening of potential human proteins of drug targets from open access database with well‐m…
View article: Drug Target Protein-Protein Interaction Networks: A Systematic Perspective
Drug Target Protein-Protein Interaction Networks: A Systematic Perspective Open
The identification and validation of drug targets are crucial in biomedical research and many studies have been conducted on analyzing drug target features for getting a better understanding on principles of their mechanisms. But most of t…
View article: PAIRS: Prediction of Activation/Inhibition Regulation Signaling Pathway
PAIRS: Prediction of Activation/Inhibition Regulation Signaling Pathway Open
Uncovering the signaling architecture in protein-protein interaction (PPI) can certainly benefit the understanding of disease mechanisms and promise to facilitate the therapeutic interventions. Therefore, it is important to reveal the sign…