Xibin Wang
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View article: EvoContext: Evolving Contextual Examples by Genetic Algorithm for Enhanced Hyperparameter Optimization Capability in Large Language Models
EvoContext: Evolving Contextual Examples by Genetic Algorithm for Enhanced Hyperparameter Optimization Capability in Large Language Models Open
Hyperparameter Optimization (HPO) is an important and challenging problem in machine learning. Traditional HPO methods require substantial evaluations to search for superior configurations. Recent Large Language Model (LLM)-based approache…
View article: Numerical analysis of the impact of national macro-policies on the construction of key projects planned during the “First Five-Year Plan” period in Lanzhou City
Numerical analysis of the impact of national macro-policies on the construction of key projects planned during the “First Five-Year Plan” period in Lanzhou City Open
The construction of key projects during the “First Five-Year Plan” period has laid the foundation for China’s industrial development, and many cities have undergone great changes in infrastructure and urban patterns, and at the same time, …
View article: Assessment of ecological environment quality and their drivers in urban agglomeration based on a novel remote sensing ecological index
Assessment of ecological environment quality and their drivers in urban agglomeration based on a novel remote sensing ecological index Open
In response to rapid urbanization, urban agglomerations have become pivotal spatial entities for fostering high-quality social and economic development, yet they face increasing ecological pressure. Balancing urban growth with ecological s…
View article: Federated learning with differential privacy via fast Fourier transform for tighter-efficient combining
Federated learning with differential privacy via fast Fourier transform for tighter-efficient combining Open
View article: Enhancing Feature Selection for Imbalanced Alzheimer’s Disease Brain MRI Images by Random Forest
Enhancing Feature Selection for Imbalanced Alzheimer’s Disease Brain MRI Images by Random Forest Open
Imbalanced learning problems often occur in application scenarios and are additionally an important research direction in the field of machine learning. Traditional classifiers are substantially less effective for datasets with an imbalanc…
View article: Open-source Software Reliability Modeling with Stochastic Impulsive Differential Equations
Open-source Software Reliability Modeling with Stochastic Impulsive Differential Equations Open
In reality, sudden updates of software, attacks of hackers, influence of the Internet market, etc. can cause a surge in the number of open-source software (OSS) faults (this moment is the time when impulse occurs), which results in impulsi…
View article: A federated learning scheme meets dynamic differential privacy
A federated learning scheme meets dynamic differential privacy Open
Federated learning is a widely used distributed learning approach in recent years, however, despite model training from collecting data become to gathering parameters, privacy violations may occur when publishing and sharing models. A dyna…
View article: Social Recommendation Based on Multi-Auxiliary Information Constrastive Learning
Social Recommendation Based on Multi-Auxiliary Information Constrastive Learning Open
Social recommendation can effectively alleviate the problems of data sparseness and the cold start of recommendation systems, attracting widespread attention from researchers and industry. Current social recommendation models use social re…
View article: Enhancing Personalized Recommendation by Transductive Support Vector Machine and Active Learning
Enhancing Personalized Recommendation by Transductive Support Vector Machine and Active Learning Open
As an important component of information service networks, personalized recommendation technology provides users with better options and enables them to obtain information anytime and anywhere. Collaborative filtering (CF) is a successful …
View article: Research on Hybrid Collaborative Filtering Recommendation Algorithm Based on the Time Effect and Sentiment Analysis
Research on Hybrid Collaborative Filtering Recommendation Algorithm Based on the Time Effect and Sentiment Analysis Open
In this study, we focus on the problem of information expiration when using the traditional collaborative filtering algorithm and propose a new collaborative filtering algorithm by integrating the time factor (ITWCF). This algorithm consid…
View article: EM Algorithm for Estimating Reliability of Multi-Release Open Source Software Based on General Masked Data
EM Algorithm for Estimating Reliability of Multi-Release Open Source Software Based on General Masked Data Open
Multi-release is critical for modern open source software product in order to satisfy more customer requirements. Masked data, a kind of missing data, is the system failure data when the exact cause of the failures might be unknown. That i…
View article: A New Collaborative Filtering Recommendation Method Based on Transductive SVM and Active Learning
A New Collaborative Filtering Recommendation Method Based on Transductive SVM and Active Learning Open
In the collaborative filtering (CF) recommendation applications, the sparsity of user rating data, the effectiveness of cold start, the strategy of item information neglection, and user profiles construction are critical to both the effici…
View article: From Reputation Perspective: A Hybrid Matrix Factorization for QoS Prediction in Location-Aware Mobile Service Recommendation System
From Reputation Perspective: A Hybrid Matrix Factorization for QoS Prediction in Location-Aware Mobile Service Recommendation System Open
With the great development of mobile services, the Quality of Services (QoS) becomes an essential factor to meet end users’ personalized requirement on the nonfunctional performance of mobile services. However, most of the QoS values in re…
View article: Personalized Movie Recommendation System Based on Support Vector Machine and Improved Particle Swarm Optimization
Personalized Movie Recommendation System Based on Support Vector Machine and Improved Particle Swarm Optimization Open
With the rapid development of information and Web technologies, people are facing 'information overload' in their daily lives.The personalized recommendation system (PRS) is an effective tool to assist users extract meaningful information …
View article: A Personalized Electronic Movie Recommendation System Based on Support Vector Machine and Improved Particle Swarm Optimization
A Personalized Electronic Movie Recommendation System Based on Support Vector Machine and Improved Particle Swarm Optimization Open
With the rapid development of ICT and Web technologies, a large an amount of information is becoming available and this is producing, in some instances, a condition of information overload. Under these conditions, it is difficult for a per…
View article: Obstacle Avoidance Technology Based on Collision Cone for UAV FastSLAM
Obstacle Avoidance Technology Based on Collision Cone for UAV FastSLAM Open
To solve the obstacle avoidance problem when UAV is implementing SLAM, a collision cone is built using obstacle avoidance strategy based on collision cone.By ascertaining whether the velocity direction of UAV motion is within the cone, the…
View article: A Shilling Attack Detection Method Based on SVM and Target Item Analysis in Collaborative Filtering Recommender Systems
A Shilling Attack Detection Method Based on SVM and Target Item Analysis in Collaborative Filtering Recommender Systems Open
The open nature of recommender systems makes them vulnerable to shilling attacks. Biased ratings are introduced in order to affect recommendations, have been shown to cause great harm to collaborative filtering algorithms. Most of previous…
View article: Personalized Recommendation System Based on Support Vector Machine and Particle Swarm Optimization
Personalized Recommendation System Based on Support Vector Machine and Particle Swarm Optimization Open
Personalized recommendation system (PRS) is an effective tool to automatically extract meaningful information from the big data of the users. Collaborative filtering is one of the most widely used personalized recommendation techniques to …
View article: Dynamic Macro-Based Heuristic Planning through Action Relationship Analysis
Dynamic Macro-Based Heuristic Planning through Action Relationship Analysis Open
The success of heuristic search in AI planning largely depends on the design of the heuristic. On the other hand, previous experience contains potential domain information that can assist the planning process. In this context, we have stud…