Haoyu Luo
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View article: FedCKD: Cluster-Aware Knowledge Distillation for Heterogeneous Medical Federated Learning
FedCKD: Cluster-Aware Knowledge Distillation for Heterogeneous Medical Federated Learning Open
In medical knowledge systems, federated learning provides a promising paradigm for collaborative knowledge extraction while preserving data privacy. However, inherent heterogeneity in medical information—stemming from variations in disease…
View article: A Cross-Modal Multi-Layer Feature Fusion Meta-Learning Approach for Fault Diagnosis Under Class-Imbalanced Conditions
A Cross-Modal Multi-Layer Feature Fusion Meta-Learning Approach for Fault Diagnosis Under Class-Imbalanced Conditions Open
In practical applications, intelligent diagnostic methods for actuator-integrated gearboxes in industrial driving systems encounter challenges such as the scarcity of fault samples and variable operating conditions, which undermine diagnos…
View article: DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype
DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype Open
Domain-Incremental Learning (DIL) enables vision models to adapt to changing conditions in real-world environments while maintaining the knowledge acquired from previous domains. Given privacy concerns and training time, Rehearsal-Free DIL…
View article: Class-Independent Increment: An Efficient Approach for Multi-label Class-Incremental Learning
Class-Independent Increment: An Efficient Approach for Multi-label Class-Incremental Learning Open
Current research on class-incremental learning primarily focuses on single-label classification tasks. However, real-world applications often involve multi-label scenarios, such as image retrieval and medical imaging. Therefore, this paper…
View article: Research on the Matching of Supply and Demand of Basic Public Education Services in the Main Urban Area of Zhengzhou Based on Accessibility
Research on the Matching of Supply and Demand of Basic Public Education Services in the Main Urban Area of Zhengzhou Based on Accessibility Open
There is an imbalance between urban and rural people in basic public education services. At present, there are few studies on the matching of supply and demand considering the actual living population of residential communities at the stre…
View article: Ultrasensitive Electrochemical Immunosensor for the Detection of Leather Artifacts
Ultrasensitive Electrochemical Immunosensor for the Detection of Leather Artifacts Open
View article: Ultrasensitive Electrochemical Immunosensor for the Detection of Ancient Sheepskin Artifacts
Ultrasensitive Electrochemical Immunosensor for the Detection of Ancient Sheepskin Artifacts Open
View article: Revisiting ‘revisiting supervised methods for effort‐aware cross‐project defect prediction’
Revisiting ‘revisiting supervised methods for effort‐aware cross‐project defect prediction’ Open
Effort‐aware cross‐project defect prediction (EACPDP), which uses cross‐project software modules to build a model to rank within‐project software modules based on the defect density, has been suggested to allocate limited testing resource …
View article: GIS-based rainfall-induced landslide susceptibility mapping: a comparative analysis of machine learning algorithms and a numerical method in Kvam, Norway
GIS-based rainfall-induced landslide susceptibility mapping: a comparative analysis of machine learning algorithms and a numerical method in Kvam, Norway Open
Analysis and prediction of climate-driven geohazards, such as rainfall-induced landslides and slope failures, are becoming more challenging given the changing climate where extreme events are inevitable. Therefore, there is a need to move …
View article: Knowledge Restore and Transfer for Multi-label Class-Incremental Learning
Knowledge Restore and Transfer for Multi-label Class-Incremental Learning Open
Current class-incremental learning research mainly focuses on single-label classification tasks while multi-label class-incremental learning (MLCIL) with more practical application scenarios is rarely studied. Although there have been many…
View article: Consumers’ Attention Allocation on the Food Packages: An Eye-Tracking Study
Consumers’ Attention Allocation on the Food Packages: An Eye-Tracking Study Open
Processed food is very popular nowadays for its convenience, which helps people to save time. Moreover, its taste is generally satisfactory. The ingredient section and nutrition facts on food packages are important resources for consumers …
View article: KeepEdge: A Knowledge Distillation Empowered Edge Intelligence Framework for Visual Assisted Positioning in UAV Delivery
KeepEdge: A Knowledge Distillation Empowered Edge Intelligence Framework for Visual Assisted Positioning in UAV Delivery Open
The Unmanned Aerial Vehicles (UAVs) delivery service is being increasingly used in logistics. However, it is challenging for a UAV to precisely identify the position for parcel delivering if it is only aided by the GPS, especially in some …
View article: bi-directional Bayesian probabilistic model based hybrid grained semantic matchmaking for Web service discovery
bi-directional Bayesian probabilistic model based hybrid grained semantic matchmaking for Web service discovery Open
Web service discovery is a fundamental task in service-oriented architectures which searches for suitable web services based on users’ goals and preferences. In this paper, we present a novel service discovery approach that can support use…
View article: An Empirical Study of Training Data Selection Methods for Ranking-Oriented Cross-Project Defect Prediction
An Empirical Study of Training Data Selection Methods for Ranking-Oriented Cross-Project Defect Prediction Open
Ranking-oriented cross-project defect prediction (ROCPDP), which ranks software modules of a new target industrial project based on the predicted defect number or density, has been suggested in the literature. A major concern of ROCPDP is …
View article: Three methods for solving systems of linear equations: Comparing the advantages and disadvantages
Three methods for solving systems of linear equations: Comparing the advantages and disadvantages Open
This paper aims to introduce some prevalent techniques which have been used to solve linear systems. Firstly, we introduce the simplest method: how to eliminate variables in which the original systems would not be changed. We then introduc…
View article: Adaptive cross-contextual word embedding for word polysemy with unsupervised topic modeling
Adaptive cross-contextual word embedding for word polysemy with unsupervised topic modeling Open
Because of its efficiency, word embedding has been widely used in many natural language processing and text modeling tasks. It aims to represent each word by a vector so such that the geometry between these vectors can capture the semantic…
View article: A novel chromosome cluster types identification method using ResNeXt WSL model
A novel chromosome cluster types identification method using ResNeXt WSL model Open