Xianbin Wang
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View article: A novel approach to exploring youth non-suicidal self-injury heterogeneity: individual differential psychopathology network analysis
A novel approach to exploring youth non-suicidal self-injury heterogeneity: individual differential psychopathology network analysis Open
Background Non-suicidal self-injury (NSSI) is a common behavioral problem among children and adolescents. Previous studies of NSSI have been mostly group-based and lacked specific characterization of individuals with NSSI. Methods Using co…
View article: From Agentification to Self-Evolving Agentic AI for Wireless Networks: Concepts, Approaches, and Future Research Directions
From Agentification to Self-Evolving Agentic AI for Wireless Networks: Concepts, Approaches, and Future Research Directions Open
Self-evolving agentic artificial intelligence (AI) offers a new paradigm for future wireless systems by enabling autonomous agents to continually adapt and improve without human intervention. Unlike static AI models, self-evolving agents e…
View article: Accurate Trust Evaluation for Effective Operation of Social IoT Systems via Hypergraph-Enabled Self-Supervised Contrastive Learning
Accurate Trust Evaluation for Effective Operation of Social IoT Systems via Hypergraph-Enabled Self-Supervised Contrastive Learning Open
Social Internet-of-Things (IoT) enhances collaboration between devices by endowing IoT systems with social attributes. However, calculating trust between devices based on complex and dynamic social attributes-similar to trust formation mec…
View article: Robust Resource Allocation for Pinching-Antenna Systems under Imperfect CSI
Robust Resource Allocation for Pinching-Antenna Systems under Imperfect CSI Open
Pinching-antenna technology has lately showcased its promising capability for reconfiguring wireless propagation environments, especially in high-frequency communication systems like millimeter-wave and terahertz bands. By dynamically plac…
View article: Transcranial i<scp>TBS</scp> Combined With Trans‐Spinal i<scp>TBS</scp> Targeting <scp>PDE</scp>1<scp>A</scp>/c<scp>AMP</scp>/<scp>PKA</scp> Axis Regulates Neural Regeneration After Spinal Cord Injury
Transcranial i<span>TBS</span> Combined With Trans‐Spinal i<span>TBS</span> Targeting <span>PDE</span>1<span>A</span>/c<span>AMP</span>/<span>PKA</span> Axis Regulates Neural Regeneration After Spinal Cord Injury Open
Aims To explore the impact of intermittent theta burst stimulation (iTBS) treatment at various targets on spinal cord injury (SCI), as well as the effects of dual‐target iTBS therapy on neurological functional recovery in rats with SCI and…
View article: Chain-of-Trust: A Progressive Trust Evaluation Framework Enabled by Generative AI
Chain-of-Trust: A Progressive Trust Evaluation Framework Enabled by Generative AI Open
In collaborative systems with complex tasks relying on distributed resources, trust evaluation of potential collaborators has emerged as an effective mechanism for task completion. However, due to the network dynamics and varying informati…
View article: Are metabolic abnormalities the missing link between complete blood count-derived inflammatory markers and diabetic foot? Evidence from a large population study
Are metabolic abnormalities the missing link between complete blood count-derived inflammatory markers and diabetic foot? Evidence from a large population study Open
Background Diabetic foot is a serious complication of diabetes, and inflammation plays a key role in its pathogenesis. This population-based study investigates associations between complete blood count (CBC)-derived inflammatory markers an…
View article: Characteristics of premonitory urge and tic symptom in different age groups from a network perspective
Characteristics of premonitory urge and tic symptom in different age groups from a network perspective Open
Background Tic disorders are neurodevelopmental disorders. Current research suggests that premonitory urges (PU) may be the cause and basis of tic disorders. The study used network analysis to investigate the detailed associations between …
View article: Energy-Efficient Design for Downlink Pinching-Antenna Systems with QoS Guarantee
Energy-Efficient Design for Downlink Pinching-Antenna Systems with QoS Guarantee Open
Pinching antennas have recently garnered significant attention due to their ability to dynamically reconfigure wireless propagation environments. Despite notable advancements in this area, the exploration of energy efficiency (EE) maximiza…
View article: Subtypes of tic disorders in children and adolescents: based on clinical characteristics
Subtypes of tic disorders in children and adolescents: based on clinical characteristics Open
View article: Secure Physical Layer Communications for Low-Altitude Economy Networking: A Survey
Secure Physical Layer Communications for Low-Altitude Economy Networking: A Survey Open
The Low-Altitude Economy Networking (LAENet) is emerging as a transformative paradigm that enables an integrated and sophisticated communication infrastructure to support aerial vehicles in carrying out a wide range of economic activities …
View article: A retrospective analysis of physical and mental disorders before and after tic disorders diagnosis
A retrospective analysis of physical and mental disorders before and after tic disorders diagnosis Open
Tic disorders are neurodevelopment disorders that typically begin in childhood. Few studies have explored the relationship between tic disorders and other physical and mental diseases. This study aims to identify which physical and mental …
View article: A Low-Complexity Placement Design of Pinching-Antenna Systems
A Low-Complexity Placement Design of Pinching-Antenna Systems Open
Pinching-antenna systems have recently been proposed as a new candidate for flexible-antenna systems, not only inheriting the reconfiguration capability but also offering a unique feature: establishing line-of-sight links to mitigate large…
View article: Urban green space extraction from BJ-2 remote sensing image based SegFormer semantic segmentation model
Urban green space extraction from BJ-2 remote sensing image based SegFormer semantic segmentation model Open
Accurate extraction of urban green spaces is of great significance for promoting urban planning and management, and promoting sustainable urban development. Given the characteristic spatial distribution of urban green spaces in high-resolu…
View article: Seamless Graph Task Scheduling over Dynamic Vehicular Clouds: A Hybrid Methodology for Integrating Pilot and Instantaneous Decisions
Seamless Graph Task Scheduling over Dynamic Vehicular Clouds: A Hybrid Methodology for Integrating Pilot and Instantaneous Decisions Open
Vehicular clouds (VCs) play a crucial role in the Internet-of-Vehicles (IoV) ecosystem by securing essential computing resources for a wide range of tasks. This paPertackles the intricacies of resource provisioning in dynamic VCs for compu…
View article: Intelligent Mobile AI-Generated Content Services via Interactive Prompt Engineering and Dynamic Service Provisioning
Intelligent Mobile AI-Generated Content Services via Interactive Prompt Engineering and Dynamic Service Provisioning Open
Due to massive computational demands of large generative models, AI-Generated Content (AIGC) can organize collaborative Mobile AIGC Service Providers (MASPs) at network edges to provide ubiquitous and customized content generation for reso…
View article: Towards Seamless Hierarchical Federated Learning under Intermittent Client Participation: A Stagewise Decision-Making Methodology
Towards Seamless Hierarchical Federated Learning under Intermittent Client Participation: A Stagewise Decision-Making Methodology Open
Federated Learning (FL) offers a pioneering distributed learning paradigm that enables devices/clients to build a shared global model. This global model is obtained through frequent model transmissions between clients and a central server,…
View article: Accelerating Stable Matching between Workers and Spatial-Temporal Tasks for Dynamic MCS: A Stagewise Service Trading Approach
Accelerating Stable Matching between Workers and Spatial-Temporal Tasks for Dynamic MCS: A Stagewise Service Trading Approach Open
Designing effective incentive mechanisms in mobile crowdsensing (MCS) networks is crucial for engaging distributed mobile users (workers) to contribute heterogeneous data for various applications (tasks). In this paper, we propose a novel …
View article: Clinical symptoms and functional impairment in attention deficit hyperactivity disorder (ADHD) co-morbid tic disorder (TD) patients: a cluster-based investigation
Clinical symptoms and functional impairment in attention deficit hyperactivity disorder (ADHD) co-morbid tic disorder (TD) patients: a cluster-based investigation Open
Patients with co-occurring ADHD and TD can be classified into two clusters based on age, symptoms, and functional impairment. In clinical interventions for these patients, while ADHD may require more attention, it is also crucial to identi…
View article: Generative AI for Lyapunov Optimization Theory in UAV-based Low-Altitude Economy Networking
Generative AI for Lyapunov Optimization Theory in UAV-based Low-Altitude Economy Networking Open
Lyapunov optimization theory has recently emerged as a powerful mathematical framework for solving complex stochastic optimization problems by transforming long-term objectives into a sequence of real-time short-term decisions while ensuri…
View article: HEART: Achieving Timely Multi-Model Training for Vehicle-Edge-Cloud-Integrated Hierarchical Federated Learning
HEART: Achieving Timely Multi-Model Training for Vehicle-Edge-Cloud-Integrated Hierarchical Federated Learning Open
The rapid growth of AI-enabled Internet of Vehicles (IoV) calls for efficient machine learning (ML) solutions that can handle high vehicular mobility and decentralized data. This has motivated the emergence of Hierarchical Federated Learni…
View article: Author Correction: Treadmill training improves lung function and inhibits alveolar cell apoptosis in spinal cord injured rats
Author Correction: Treadmill training improves lung function and inhibits alveolar cell apoptosis in spinal cord injured rats Open
View article: Effective Two-Stage Double Auction for Dynamic Resource Provision over Edge Networks via Discovering The Power of Overbooking
Effective Two-Stage Double Auction for Dynamic Resource Provision over Edge Networks via Discovering The Power of Overbooking Open
To facilitate responsive and cost-effective computing service delivery over edge networks, this paper investigates a novel two-stage double auction methodology via discovering an interesting idea of resource overbooking to overcome dynamic…
View article: Dynamic Authentication and Granularized Authorization with a Cross-Domain Zero Trust Architecture for Federated Learning in Large-Scale IoT Networks
Dynamic Authentication and Granularized Authorization with a Cross-Domain Zero Trust Architecture for Federated Learning in Large-Scale IoT Networks Open
With the increasing number of connected devices and complex networks involved, current domain-specific security techniques become inadequate for diverse large-scale Internet of Things (IoT) systems applications. While cross-domain authenti…
View article: Joint Secrecy Rate Achieving and Authentication Enhancement via Tag-based Encoding in Chaotic UAV Communication Environment
Joint Secrecy Rate Achieving and Authentication Enhancement via Tag-based Encoding in Chaotic UAV Communication Environment Open
Secure communication is crucial in many emerging systems enabled by unmanned aerial vehicle (UAV) communication networks. To protect legitimate communication in a chaotic UAV environment, where both eavesdropping and jamming become straigh…
View article: Knowledge Sharing-enabled Semantic Rate Maximization for Multi-cell Task-oriented Hybrid Semantic-Bit Communication Networks
Knowledge Sharing-enabled Semantic Rate Maximization for Multi-cell Task-oriented Hybrid Semantic-Bit Communication Networks Open
In task-oriented semantic communications, the transmitters are designed to deliver task-related semantic information rather than every signal bit to receivers, which alleviates the spectrum pressure by reducing network traffic loads. Effec…
View article: Collaborative Knowledge Sharing-empowered Effective Semantic Rate Maximization for Two-tier Semantic-Bit Communication Networks
Collaborative Knowledge Sharing-empowered Effective Semantic Rate Maximization for Two-tier Semantic-Bit Communication Networks Open
Effective task-oriented semantic communications relies on perfect knowledge alignment between transmitters and receivers for accurate recovery of task-related semantic information, which can be susceptible to knowledge misalignment and per…
View article: Stackelberg Game Based Performance Optimization in Digital Twin Assisted Federated Learning over NOMA Networks
Stackelberg Game Based Performance Optimization in Digital Twin Assisted Federated Learning over NOMA Networks Open
Despite the advantage of preserving data privacy, federated learning (FL) still suffers from the straggler issue due to the limited computing resources of distributed clients and the unreliable wireless communication environment. By effect…
View article: Power-Efficient Optimization for Coexisting Semantic and Bit-Based Users in NOMA Networks
Power-Efficient Optimization for Coexisting Semantic and Bit-Based Users in NOMA Networks Open
Semantic communications, which focus on transmitting the semantic meaning of data, have been proposed as a novel paradigm for achieving efficient and relevant communication. Meanwhile, non-orthogonal multiple access (NOMA) enhances spectra…
View article: Oh-Trust: Overbooking and Hybrid Trading-Empowered Resource Scheduling with Smart Reputation Update over Dynamic Edge Networks
Oh-Trust: Overbooking and Hybrid Trading-Empowered Resource Scheduling with Smart Reputation Update over Dynamic Edge Networks Open
Incentive-driven computing resource sharing is crucial for meeting the ever-growing demands of emerging mobile applications. Although conventional spot trading offers a solution, it frequently leads to excessive overhead due to the need fo…