National University of Defense Technology

IGPC: Multi-domain multimodal fake news detection via Info-Gini Weight Adaptation and Prototypical Multi-level Contrastive Learning

Multi-domain multimodal fake news detection requires models to integrate textual and visual evidence while generalizing across diverse domains. Existing methods still struggle with multi-level data imbalance, weak class geometry in data-scarce domains, and transfer to held-out ta...

16-channel ultrashort fiber laser coherent polarization beam combination with active spatio-temporal error control

Coherent beam combination (CBC) has proven to be an effective approach to overcoming the power limitations of single-channel lasers. As a representative implementation of CBC, coherent polarization beam combination (CPBC) becomes increasingly complex with increasing channel count...

Comparing LLM and Human Expert Coding in Qualitative Research: A Case Study on Emotional Intelligence

Large language models (LLMs) are increasingly used for qualitative coding, but their ability to recover human-defined construct boundaries remains unclear. Existing studies rarely distinguish thematic granularity from dimension-level semantic alignment. We compare a 12-dimension...

Real-to-Sim Generation: Synthesizing Scenario Programs from Real-World Data via Constraint Solving

The demand for synthetic training data is hindered by the sim-to-real gap, as current data-driven and LLM-based generators often produce physically implausible scenarios. To address this, we propose R2SGEN, a Real-to-Sim framework that synthesizes structured scenario programs fro...

Locally differentially private graph clustering via structure-preserving graph compression

Abstract Locally differentially private clustering is an effective approach to uncover latent structures in decentralized social graphs while preserving individual privacy. Existing solutions encode graph data using adjacency bit vectors, whose high dimensionality introduces subs...

An evolutionary framework with adaptive recovery for online reconfiguration of multi-source measurement systems

Multi-source measurement systems are expected to maintain estimation accuracy and operational robustness under abnormal disturbances. Such disturbances can alter source availability, observation quality, and synchronization conditions, causing a previously deployed configuration...

A Decoupled Global-Local Planning Framework for COLREGs-Aware Maritime Autonomous Surface Ships in Coastal Waters

Autonomous navigation of Maritime Autonomous Surface Ships (MASS) in complex coastal waters requires reliable global path generation and stable local collision avoidance. Existing planners often couple path search, path smoothing, and collision-avoidance reactions, increasing glo...

Vacuum Flash Evaporation‐Assisted Processing in Perovskite Photovoltaics

ABSTRACT Perovskite solar cells (PSCs) have emerged as a leading next‐generation photovoltaic technology owing to their high‐power conversion efficiency, low fabrication cost, and solution processability. However, the performance and scalability of PSCs are critically limited by...

Effects and dose-response relationship of core strength training on balance performance in adolescent athletes: a systematic review and meta-analysis

Core strength training (CST) is widely prescribed to improve balance performance, yet its dose-response relationship in adolescent athletes has not been quantified. We conducted a systematic review and meta-analysis of parallel-group randomized controlled trials evaluating CST ve...

Attack Chain Reconstruction Method Based on LLM Prior-Knowledge Guidance and Heterogeneous Graph Reasoning

In the face of multi-stage and cross-device complex network attacks, reconstructing the complete attack link from massive heterogeneous security logs is the core problem of security operation. In the existing methods, the traditional graph model lacks a deep understanding of the...

A Review of Space-Based GNSS Interference Monitoring Technology: Development, Methods, Architectures, and Challenges

With the widespread application of Global Navigation Satellite Systems (GNSS) in critical industries such as transportation, aviation, maritime, communications, and finance, the increasing incidence of GNSS interference has become a global threat to the security of Positioning, N...

Superior Cycling Stability of Moisture-Resistant Silica Aerogel Thermal Insulation Composites via Hydrothermal-Assisted Drying Process

Abstract Fiber-reinforced SiO2 aerogel thermal insulation composites are low density, high-temperature resistant, and exhibit low thermal conductivity, making them widely used in aerospace, petrochemical, and related fields. However, when subjected to an alternating high-temperat...

Capturing Typhoon Rapid Intensification and Abrupt Recurvature Using an IAU‐Based 4DVar Scheme

Abstract Dynamic imbalances in model initialization severely constrain the predictability of the rapid intensification (RI) and abrupt track recurvature of tropical cyclones (TCs). In this study, the effectiveness of an incremental analysis update (IAU)‐based four‐dimensional var...

Atomic Defect-Mediated Charge Trapping Enables Multimodal Plasticity in van der Waals Heterostructures for In-Sensor Neuromorphic Vision

Abstract Neuromorphic hardware that unifies sensing, memory, and learning at the device level remains challenging due to limited optoelectronic comodulation and rigid architectures. Here, we report a flexible, van der Waals (vdW)-integrated MoS2/hexagonal boron nitride (h-BN)/gra...

Tropical Cyclone Precipitation Nowcasting Based on Flow Matching Model With Numerical Wind Field Constraints

Abstract Tropical cyclones (TCs) making landfall often produce extreme precipitation with complex spatiotemporal patterns, posing major challenges to both deep learning models and numerical weather prediction (NWP) systems. This study introduces Rainflow, a conditional flow match...

KG-Seg: Medical Knowledge-Guided Target-State Learning for 3D Lesion Segmentation with Lesion-Only Annotations

In 3D segmentation with lesion-only annotations, lesion supervision defines voxel-wise foreground membership, whereas medical knowledge characterizes the relations between lesion states and relevant anatomical structures. How to integrate these two forms of information within a l...

The evolution of anti-visual perception: biomimetics, spectral physics, and artificial intelligence

Abstract The co-evolution of visual perception and anti-perception represents a biological arms race now accelerating as a technological ‘hide-and-seek’ in human society. This review synthesizes anti-visual perception as an emerging multidisciplinary paradigm spanning biological,...

TOTMSeg: A Texture-Aware Octree-Based Transformer-Mamba Framework for Large-Scale Urban Mesh Semantic Segmentation

Semantic segmentation of 3D urban meshes is a fundamental task for intelligent urban scene understanding. However, conventional methods face severe computational efficiency bottlenecks in large-scale scenarios. Meanwhile, state space models (SSMs) with inherent linear time comple...

Cross‐Basin Synergistic Effects Stall Summer Sea Ice Decline in the Chukchi Sea

Abstract Although global mean surface temperatures have risen rapidly, summer sea ice loss in the Chukchi Sea has exhibited an anomalous deceleration since the early 2000s. Using observations and numerical experiments, we show that this trend deceleration is closely linked to the...

State-of-health estimation of lithium-ion batteries using end-of-charge features with cross-domain validation

Conventional lithium-ion battery state-of-health (SOH) estimation methods often rely on complete charge–discharge cycles or are restricted to specific battery chemistries and protocols, hindering their generalization across diverse real-world scenarios. This study proposes an SOH...