Xidian University

Rethinking wireless communications through formal mathematical AI reasoning

Mathematical analysis has long underpinned wireless communication theory, yet the growing complexity of next-generation systems demands increasingly sophisticated reasoning from domain experts. Recent advances in AI mathematical reasoning, from formal theorem proving to large lan...

Evolutionary resilience in open multiagent optimization: From preset trust to emergent defense

Can defensive behavior in multiagent optimization emerge through evolutionary competition rather than being pre-installed? We study this question in open, adversarial environments where agents can enter, leave, or be compromised, and where the global optimum drifts continuously a...

Pseudo-trust behavior-based consensus methodology with asymmetric costs for social network group decision-making

In intelligent decision-making systems, the coupling effect of information fuzziness with multiple constraints-including social network restrictions, pseudo-trust behavior interference, and fairness imbalance, not only amplifies the positional divergences among decision-makers bu...

Uncertainty-Aware Scenario-Adaptive Feature Ensemble Learning Framework for Runway Occupancy Time Prediction

Runway occupancy time (ROT) is a key indicator affecting runway capacity, arrival spacing control, and airport surface operational safety. ROT is jointly influenced by multi-source heterogeneous factors, including aircraft performance, speed profiles, taxi distance, runway exits,...

Code obfuscation against symbolic execution with mixed Boolean-arithmetic permutation

Code obfuscation is a fundamental technique for software protection and intellectual property defense, yet its effectiveness has been increasingly undermined by advances in symbolic execution and automated deobfuscation. Existing countermeasures based on path explosion, path dive...

Protocol for measuring above-threshold ionization spectra driven by few-cycle laser pulses in frustrated tunneling ionization regime

Above-threshold ionization (ATI) spectra in the frustrated tunneling ionization (FTI) regime demonstrate control of bound-state populations via the carrier-envelope phase (CEP). Here, we present a protocol for acquiring ATI spectra from argon gas driven by few-cycle laser pulses....

Analysis of Tonga eruption-induced disturbances in the upper thermosphere based on atmospheric drag accelerations from LEO satellites

Abstract The violent eruption of the Tonga volcano on 15 January 2022 triggered significant disturbances in the atmosphere and ionosphere. However, limited observational capabilities have persistently hindered the characterization of eruption-induced neutral density disturbances...

Defect detection in rubber pump tubing using edge fusion and adaptive learning

Rubber pump tubing governs the volumetric accuracy of peristaltic infusion pumps, so deviations in inner diameter or wall thickness can alter the delivered dose. Automated optical inspection of such tubing is constrained by two coupled factors: the samples themselves vary geometr...

In-Band RCS Reduction of Circularly Polarized Antenna Array with High Aperture Efficiency and Low Profile for Satellite and Navigation Systems

This paper proposes a circularly polarized (CP) antenna array featuring high aperture efficiency, a low in-band radar cross section (RCS), and a low profile. First, two different patch antenna elements are designed, which exhibit desirable CP performance and a 180° reflection pha...

Deep neural network-driven adaptive fusion recognition method for radar-optical heterogeneous remote sensing imagery

Abstract The fusion of radar and optical remote sensing imagery presents significant challenges due to fundamental differences in imaging mechanisms and feature representations. This paper proposes an adaptive fusion recognition framework based on deep neural networks for heterog...

Deep Learning Assisted‐Axial Resolution Improvement for Probe‐Based Confocal Laser Endomicroscopy

ABSTRACT Probe‐based confocal laser endomicroscopy (pCLE), as a powerful medical device for detecting digestive tract diseases, can directly conduct real‐time and high‐resolution histological diagnosis of gastric mucosal epithelium and subcutaneous tissues. It can achieve optical...

DNLA-AGW: A Mine Image Enhancement Algorithm Based on Local Perception and Multi-Domain Guided Fusion

To address the problems of uneven illumination distribution, missing edge details, and noise interference in underground coal mine images, a mine image enhancement algorithm based on local perception and multi-domain guided fusion is proposed. First, the algorithm constructs a dy...

The effect of ESG assurance on ESG reporting consistency: evidence from textual similarity

This study explores the impact of environmental, social, and governance (ESG) assurance on the similarity of ESG reporting among peer companies. By analysing data from paired listed firms in China, our findings reveal a significant increase in ESG similarity for those pairs that...

A tri-branch multi-view contrastive learning framework integrated with physiological information for tumor classification in dynamic optical breast imaging data

Contrastive learning has gained popularity due to its pretraining capabilities on large-scale datasets and extensive data augmentation methods. However, its application in breast tumors classification using Dynamic Optical Breast Imaging (DOBI) data—a functional imaging modality...

Characterizations of the multi-kingdom gut microbiota in elderly individuals with end-stage renal disease

End-stage renal disease (ESRD) is common in older adults and has been linked to gut dysbiosis, yet multi-kingdom alterations and cross-kingdom interactions in elderly patients remain incompletely defined. We characterized the gut bacteriome, mycobiome, and virome in elderly indiv...

Damage Mechanism of GaN HEMT and Failure Analysis of Power Amplifier Under High-Altitude Electromagnetic Pulse

With the growing complexity of electromagnetic environments, electronic systems suffer from prominent strong electromagnetic interference in practical service. As a key component implementing power amplification and transmission in communication systems, interference and damage e...

LMCAN: A Lightweight Multiscale Contextual Attention Network for Hyperspectral and Multispectral Image Fusion

Hyperspectral and multispectral image fusion requires enhancing spatial details while preserving the pixel-wise spectral fidelity of hyperspectral observations. Transformer-based approaches provide effective contextual modeling, yet hierarchical token merging may cause spectral m...

Optical phased array LiDAR chips towards polarization-resolved 4D sensing

Optical phased array (OPA)-based LiDAR technology provides high-speed, solid-state sensing for autonomous vehicles, robotics, and aerial systems. However, current OPA-based LiDAR platforms lack the ability to accurately recognize and classify materials, limiting their effectivene...

Crystal Structure Prediction and 0 K Stability Assessment of Hypothetical Re3Zr Polymorphs: Vibrational, Elastic, and Electronic Properties

Re3Zr has recently been proposed in the cubic Pm-3n structure. Its alternative atomic arrangements and thermodynamic position within the Re–Zr system have not been systematically resolved. In this work, CALYPSO particle-swarm structure searches combined with density functional th...

Taxonomy and Estimation of Multiple Breakpoints in High-Dimensional Factor Models*

This paper proposes a quasi-maximum likelihood (QML) estimator for break points in high-dimensional factor models, specifically accounting for multiple structural breaks. We begin by establishing a necessary and sufficient condition to categorize two distinct types of breaks in f...