Junfeng Wu
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View article: GPX1 and RCN1 as New Endoplasmic Reticulum Stress-Related Biomarkers in Multiple Sclerosis Brain Tissue and Their Involvement in the APP-CD74 Pathway: An Integrated Study Combining Machine Learning and Multi-Omics
GPX1 and RCN1 as New Endoplasmic Reticulum Stress-Related Biomarkers in Multiple Sclerosis Brain Tissue and Their Involvement in the APP-CD74 Pathway: An Integrated Study Combining Machine Learning and Multi-Omics Open
This study identified 13 endoplasmic reticulum stress (ERS)-related biomarkers associated with multiple sclerosis (MS) through integrated bioinformatics analysis (including weighted gene co-expression network analysis and machine learning …
View article: Synergistic potential of bone marrow mesenchymal stem cells and miR181-a combinational therapy against multiple sclerosis
Synergistic potential of bone marrow mesenchymal stem cells and miR181-a combinational therapy against multiple sclerosis Open
View article: S <sup>2</sup> NeRF: Privacy-preserving Training Framework for NeRF
S <sup>2</sup> NeRF: Privacy-preserving Training Framework for NeRF Open
View article: BESTAnP: Bi-Step Efficient and Statistically Optimal Estimator for Acoustic-n-Point Problem
BESTAnP: Bi-Step Efficient and Statistically Optimal Estimator for Acoustic-n-Point Problem Open
We consider the acoustic-n-point (AnP) problem, which estimates the pose of a 2D forward-looking sonar (FLS) according to n 3D-2D point correspondences. We explore the nature of the measured partial spherical coordinates and reveal their i…
View article: Privacy-Preserving Algorithms in Distributed Optimization Problems
Privacy-Preserving Algorithms in Distributed Optimization Problems Open
With the rise in computational complexity and network scale, distributed optimization problems have gained increasing interest due to their robustness and scalability advantages over centralized approaches. It has been widely applied in va…
View article: Convolutional LSTM model for cine image prediction of abdominal motion
Convolutional LSTM model for cine image prediction of abdominal motion Open
Objective. In this study, we tackle the challenge of latency in magnetic resonance linear accelerator (MR-Linac) systems, which compromises target coverage accuracy in gated real-time radiotherapy. Our focus is on enhancing motion predicti…
View article: Hybrid Integration of Bagging and Decision Tree Algorithms for Landslide Susceptibility Mapping
Hybrid Integration of Bagging and Decision Tree Algorithms for Landslide Susceptibility Mapping Open
Landslides represent a significant global natural hazard, threatening human settlements and the natural environment. The primary objective of the study was to develop a landslide susceptibility modeling approach that enhances prediction ac…
View article: Dynamic Bidding Strategy in Online Advertising: A Rollout-Tracking Bid Optimization Methodology
Dynamic Bidding Strategy in Online Advertising: A Rollout-Tracking Bid Optimization Methodology Open
View article: Errors Dynamics in Affine Group Systems
Errors Dynamics in Affine Group Systems Open
Errors dynamics captures the evolution of the state errors between two distinct trajectories, that are governed by the same system rule but initiated or perturbed differently. In particular, state observer error dynamics analysis in matrix…
View article: Report two adult cases of high‐grade neuroepithelial neoplasm harbouring <scp>EP300</scp>::<scp>BCOR</scp> fusions with comprehensive molecular detection
Report two adult cases of high‐grade neuroepithelial neoplasm harbouring <span>EP300</span>::<span>BCOR</span> fusions with comprehensive molecular detection Open
Central nervous system (CNS) tumours with BCOR (BCL-6 transcriptional corepressor) internal tandem duplication (ITD) have emerged as a new molecular entity in recent years [1]. This was first reported by Sturm et al. in a study of 323 pati…
View article: Progress in diagnosis and treatment in elderly patients with tuberculosis obstructive pulmonary disease
Progress in diagnosis and treatment in elderly patients with tuberculosis obstructive pulmonary disease Open
:The obstructive pulmonary disease tuberculosis B (tuberculosis obstructive pulmonary called TOPD disease) in elderly patients with tuberculosis is a common and early prevention and treatment, the latter to irreversible persistent airflow …
View article: Exploration of inflammation-prognosis correlation and potential regulatory molecules in adamantinomatous craniopharyngioma
Exploration of inflammation-prognosis correlation and potential regulatory molecules in adamantinomatous craniopharyngioma Open
Purpose To explore the inflammation-prognosis correlation and potential regulatory molecules in adamantinomatous craniopharyngioma (ACP) Methods 61 ACP patients who received surgery by either sub-resection or total-resection were included.…
View article: Low-Complexity Distributed Detection With One-Bit Memory Under Neyman–Pearson Criterion
Low-Complexity Distributed Detection With One-Bit Memory Under Neyman–Pearson Criterion Open
We consider a multi-stage distributed detection scenario, where $n$ sensors\nand a fusion center (FC) are deployed to accomplish a binary hypothesis test.\nAt each time stage, local sensors generate binary messages, assumed to be\nspatiall…
View article: Global and Asymptotically Efficient Localization From Range Measurements
Global and Asymptotically Efficient Localization From Range Measurements Open
We consider the range-based localization problem, which involves estimating an object's position by using $m$ sensors, hoping that as the number $m$ of sensors increases, the estimate converges to the true position with the minimum varianc…
View article: Localizability with Range-Difference Measurements
Localizability with Range-Difference Measurements Open
The physical position is crucial in location-aware services or protocols based on geographic information, where localization is performed given a set of sensor measurements for acquiring the position of an object with respect to a certain …
View article: Mean-Field Transmission Power Control in Dense Networks
Mean-Field Transmission Power Control in Dense Networks Open
We consider uplink power control in wireless communication when a large\nnumber of users compete over the channel resources. The CDMA protocol, as a\nsupporting technology of 3G networks accommodating signal from different\nsources over th…
View article: Stochastic Event-Based Sensor Schedules for Remote State Estimation in Cognitive Radio Sensor Networks
Stochastic Event-Based Sensor Schedules for Remote State Estimation in Cognitive Radio Sensor Networks Open
We consider the problem of communication allocation for remote state\nestimation in a cognitive radio sensor network~(CRSN). A sensor collects\nmeasurements of a physical plant, and transmits the data to a remote estimator\nas a secondary …
View article: Mean-Field Transmission Power Control in Dense Networks, Part I - Characterization of the Equilibrium Strategy.
Mean-Field Transmission Power Control in Dense Networks, Part I - Characterization of the Equilibrium Strategy. Open
We consider uplink power control in wireless communication when massive users compete over the channel resources. The CDMA protocol, as a supporting technology of 3G networks accommodating signal from different sources over the code domain…
View article: Mean-Field Transmission Power Control in Dense Networks, Part II -- Social Welfare Evaluation
Mean-Field Transmission Power Control in Dense Networks, Part II -- Social Welfare Evaluation Open
We consider uplink power control in wireless communication when massive users compete over the channel resources. In Part I, we have formulated massive transmission power control contest in a mean-field game framework. In this part, our go…
View article: A survey of distributed optimization
A survey of distributed optimization Open
View article: Learning Quadratic Games on Networks
Learning Quadratic Games on Networks Open
Individuals, or organizations, cooperate with or compete against one another in a wide range of practical situations. Such strategic interactions are often modeled as games played on networks, where an individual's payoff depends not only …
View article: Distributed event-triggered control for global consensus of multi-agent systems with input saturation
Distributed event-triggered control for global consensus of multi-agent systems with input saturation Open
View article: Steady-state Analysis of a Neural-cognition Based Human-social Behavior Model
Steady-state Analysis of a Neural-cognition Based Human-social Behavior Model Open
We consider an extension of the Rescorla-Wagner model which bridges the gap between conditioning and learning on a neural-cognitive, individual psychological level, and the social population level. In this model, the interaction among indi…
View article: Asymptotic and finite-time almost global attitude tracking: representations free approach
Asymptotic and finite-time almost global attitude tracking: representations free approach Open
In this paper, the attitude tracking problem is considered using the rotation matrices. Due to the inherent topological restriction, it is impossible to achieve global attractivity with any continuous attitude control system on SO(3). Henc…
View article: Quantum Clique Gossiping
Quantum Clique Gossiping Open
This paper establishes a framework of quantum clique gossiping by introducing local clique operations to networks of interconnected qubits. Cliques are local structures in complex networks being complete subgraphs, which can be used to acc…
View article: A Novel Image Retrieval Method with Saliency Feature Vector
A Novel Image Retrieval Method with Saliency Feature Vector Open
In the past few years, image retrieval has been one of the research focuses in the field of computer vision.For most retrieval methods, the accuracy of the retrieval results mainly depends on the extracted feature vectors.But, the foregrou…
View article: Quantum Clique Gossiping
Quantum Clique Gossiping Open
This paper establishes a framework for the acceleration of quantum gossip algorithms by introducing local clique operations to networks of interconnected qubits. Cliques are local structures in complex networks being complete subgraphs. Ba…
View article: Asymptotic and finite-time almost global attitude tracking: representations free approach
Asymptotic and finite-time almost global attitude tracking: representations free approach Open
In this paper, the attitude tracking problem is considered using the rotation matrices. Due to the inherent topological restriction, it is impossible to achieve global attractivity with any continuous attitude control system on $SO(3)$. He…
View article: Event-triggered control for multi-agent systems with output saturation
Event-triggered control for multi-agent systems with output saturation Open
We propose distributed static and dynamic event-triggered control laws to solve the consensus problem for multiagent systems with output saturation. Under the condition that the underlying graph is undirected and connected, we show that co…
View article: On Stochastic Sensor Network Scheduling for Multiple Processes
On Stochastic Sensor Network Scheduling for Multiple Processes Open
We consider the problem of multiple sensor scheduling for remote state estimation of multiple process over a shared link. In this problem, a set of sensors monitor mutually independent dynamical systems in parallel but only one sensor can …