Naixue Xiong
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View article: Correction: The interplay of time and space in human behavior: a sociological perspective on the TSCH model
Correction: The interplay of time and space in human behavior: a sociological perspective on the TSCH model Open
View article: Research on a Multilayer Network Community Detection Algorithm Based on Local Information Expansion
Research on a Multilayer Network Community Detection Algorithm Based on Local Information Expansion Open
Multilayer networks, as an important branch of network science, have become a powerful tool for revealing and analyzing the internal structures of complex systems. Within these networks, community detection is particularly crucial, as it a…
View article: Achieving high oxygen tolerance in Ti6Al4V: Copper-oxygen co-doping strategy for ultrahigh strength-ductility balance
Achieving high oxygen tolerance in Ti6Al4V: Copper-oxygen co-doping strategy for ultrahigh strength-ductility balance Open
Conventional α + β Ti6Al4V alloys lack sufficient strengthening mechanisms, limiting strength. While oxygen (O) offers a cost-effective strengthening route, exceeding ∼ 0.33 wt% causes significant embrittlement. Here, we explored how to ef…
View article: CMBA-FL: Communication-mitigated and blockchain-assisted federated learning for traffic flow predictions
CMBA-FL: Communication-mitigated and blockchain-assisted federated learning for traffic flow predictions Open
View article: Shard-DAG: A scalable and secure block-DAG sharding scheme for AI-driven 6G networks
Shard-DAG: A scalable and secure block-DAG sharding scheme for AI-driven 6G networks Open
View article: Joint Adaptive Resolution Selection and Conditional Early Exiting for Efficient Video Recognition on Edge Devices
Joint Adaptive Resolution Selection and Conditional Early Exiting for Efficient Video Recognition on Edge Devices Open
Given the explosive growth in video content generation, there is a rising demand for efficient and scalable video recognition. Deep learning has shown its remarkable performance in video analytics, by applying 2D or 3D Convolutional Neural…
View article: Large language model-driven probabilistic trajectory prediction in the Internet of Things using spatio-temporal encoding and normalizing flows
Large language model-driven probabilistic trajectory prediction in the Internet of Things using spatio-temporal encoding and normalizing flows Open
View article: Silformer: Silhouette-Aware Transformer for Fine-Grained Bird Image Classification
Silformer: Silhouette-Aware Transformer for Fine-Grained Bird Image Classification Open
View article: X-Clustering Beyond Contextual Representations
X-Clustering Beyond Contextual Representations Open
View article: YOLO-MES: An Effective Lightweight Underwater Garbage Detection Scheme for Marine Ecosystems
YOLO-MES: An Effective Lightweight Underwater Garbage Detection Scheme for Marine Ecosystems Open
Marine pollution significantly impacts the sustainable development of marine ecosystems and the marine economy. Accurate detection of marine debris is essential for effective pollution control. However, existing high-precision detection al…
View article: An Evaluation Method for Influential Nodes Based on Multi-Attribute Neighbor Contributions in Complex Networks
An Evaluation Method for Influential Nodes Based on Multi-Attribute Neighbor Contributions in Complex Networks Open
View article: LSBSP: A Lightweight Sharding Method of Blockchain Based on State Pruning for Efficient Data Sharing in IoMT
LSBSP: A Lightweight Sharding Method of Blockchain Based on State Pruning for Efficient Data Sharing in IoMT Open
View article: SA-DDQN: Enabling Efficient and Precise Task Offloading using a Deep Reinforcement Learning Scheme in Intelligent Transportation Systems
SA-DDQN: Enabling Efficient and Precise Task Offloading using a Deep Reinforcement Learning Scheme in Intelligent Transportation Systems Open
View article: The interplay of time and space in human behavior: a sociological perspective on the TSCH model
The interplay of time and space in human behavior: a sociological perspective on the TSCH model Open
The concept of spatiotemporal correlation, initially rooted in the domain of physics, has increasingly become of interest to scholars across various fields. This burgeoning interest is especially noted within the realm of human dynamics, w…
View article: Enhancing zero-shot relation extraction with a dual contrastive learning framework and a cross-attention module
Enhancing zero-shot relation extraction with a dual contrastive learning framework and a cross-attention module Open
Zero-shot relation extraction (ZSRE) is essential for improving the understanding of natural language relations and enhancing the accuracy and efficiency of natural language processing methods in practical applications. However, the existi…
View article: Synergistic Integration of Local and Global Information for Critical Edge Identification
Synergistic Integration of Local and Global Information for Critical Edge Identification Open
Identifying critical edges in complex networks is a fundamental challenge in the study of complex networks. Traditional approaches tend to rely solely on either global information or local information. However, this dependence on a single …
View article: MPCTrans: Multi-Perspective Cue-Aware Joint Relationship Representation for 3D Hand Pose Estimation via Swin Transformer
MPCTrans: Multi-Perspective Cue-Aware Joint Relationship Representation for 3D Hand Pose Estimation via Swin Transformer Open
The objective of 3D hand pose estimation (HPE) based on depth images is to accurately locate and predict keypoints of the hand. However, this task remains challenging because of the variations in hand appearance from different viewpoints a…
View article: Enhanced Profit-Driven Optimization for Flexible Server Deployment and Service Placement in Multi-User Mobile Edge Computing Systems
Enhanced Profit-Driven Optimization for Flexible Server Deployment and Service Placement in Multi-User Mobile Edge Computing Systems Open
View article: scGAA: a general gated axial-attention model for accurate cell-type annotation of single-cell RNA-seq data
scGAA: a general gated axial-attention model for accurate cell-type annotation of single-cell RNA-seq data Open
View article: MPS: A Truth Discovery Service Scheme by Using History Data to Maximize Profit for Mobile Crowd Sensing
MPS: A Truth Discovery Service Scheme by Using History Data to Maximize Profit for Mobile Crowd Sensing Open
Mobile Crowd Sensing (MCS) has emerged as a novel paradigm in massive data collection, which leverages many individual mobile devices (called workers) to collect data. MCS platform utilizes the collected data to construct various services …
View article: Correction to: MFDAT: a stock trend prediction of the doublegraph attention network based on multisource information fusion
Correction to: MFDAT: a stock trend prediction of the doublegraph attention network based on multisource information fusion Open
View article: Pocket Convolution Mamba for Brain Tumor Segmentation
Pocket Convolution Mamba for Brain Tumor Segmentation Open
In the field of brain tumor segmentation, models based on CNNs and Transformer have received a lot of attention. However, CNNs have limitations in long-range modeling, and although Transformers can model at long distances, they have quadra…
View article: Gaitdlf: global and local fusion for skeleton-based gait recognition in the wild
Gaitdlf: global and local fusion for skeleton-based gait recognition in the wild Open
A new trend in long-range biometrics, gait recognition, is finding application in a number of different fields including video surveillance. Recently, with the increase in robustness of the pose estimator and the presence of various unpred…
View article: MF-DAT: a stock trend prediction of the double-graph attention network based on multisource information fusion
MF-DAT: a stock trend prediction of the double-graph attention network based on multisource information fusion Open
Stock forecasting research, which aims to predict the future price movement of stocks, has been the focus of investors and scholars. This is important for practical applications related to human-centric computing and information sciences. …
View article: A Quality-Aware and Obfuscation-Based Data Collection Scheme for Cyber-Physical Metaverse Systems
A Quality-Aware and Obfuscation-Based Data Collection Scheme for Cyber-Physical Metaverse Systems Open
In pursuit of an immersive virtual experience within the Cyber-Physical Metaverse Systems (CPMS), the construction of Avatars often requires a significant amount of real-world data. Mobile Crowd Sensing (MCS) has emerged as an efficient me…
View article: EdgeCI: Distributed Workload Assignment and Model Partitioning for CNN Inference on Edge Clusters
EdgeCI: Distributed Workload Assignment and Model Partitioning for CNN Inference on Edge Clusters Open
Deep learning technology has grown significantly in new application scenarios such as smart cities and driverless vehicles, but its deployment needs to consume a lot of resources. It is usually difficult to execute inference task solely on…
View article: Design and analysis of quantum machine learning: a survey
Design and analysis of quantum machine learning: a survey Open
Machine learning has demonstrated tremendous potential in solving real-world problems. However, with the exponential growth of data amount and the increase of model complexity, the processing efficiency of machine learning declines rapidly…
View article: A novel joint extraction model based on cross-attention mechanism and global pointer using context shield window
A novel joint extraction model based on cross-attention mechanism and global pointer using context shield window Open
Relational triple extraction is a critical step in knowledge graph construction. Compared to pipeline-based extraction, joint extraction is gaining more attention because it can better utilize entity and relation information without causin…
View article: DDPS: Dynamic Differential Pricing-based Edge Offloading System with Energy Harvesting Devices
DDPS: Dynamic Differential Pricing-based Edge Offloading System with Energy Harvesting Devices Open
Mobile edge computing (MEC) paves the way to alleviate the burden of energy and computation of mobile users (MUs) by offloading tasks to the network edge. To enhance the MEC server utilization by optimizing its resource allocation, a well-…
View article: Insulator defect degree detection based on multi-scale feature fusion based on transfer learning
Insulator defect degree detection based on multi-scale feature fusion based on transfer learning Open
In high-voltage transmission lines, insulators are essential for isolating electronic devices and supporting the line. Traditional detection methods face challenges when using unmanned aerial vehicles to capture insulator images due to blu…