Beijing Jiaotong University

Trust-Aware Enterprise Credit Risk Prediction via Variational Autoencoder in Supply Chain Finance

The growing complexity of transaction networks, dynamic enterprise interactions, and rising financial uncertainties in modern supply chains have made accurate credit risk assessment for small and medium-sized enterprises (SMEs) in supply chain finance (SCF) a critical priority. H...

The Impact of Patient Capital on Innovation Quantity and Quality Among SMEs

Drawing on panel data from firms listed on the SME Board and Growth Enterprise Market (GEM) between 2010 and 2024, this study examines how patient capital influences SME innovation. It considers both the quantity and quality of innovation and investigates the underlying mechanism...

Synergistic Dual‐Channel Charge Separation in Cr‐TiO 2‐x for Solar H 2 O 2 Synthesis

ABSTRACT Solar‐driven hydrogen peroxide (H 2 O 2 ) synthesis offers a sustainable alternative to the energy‐intensive anthraquinone process, yet its efficiency is fundamentally constrained by the inability to simultaneously harness photogenerated electrons and holes in a balanced...

Synergistic Dual‐Channel Charge Separation in Cr‐TiO 2‐x for Solar H 2 O 2 Synthesis

ABSTRACT Solar‐driven hydrogen peroxide (H 2 O 2 ) synthesis offers a sustainable alternative to the energy‐intensive anthraquinone process, yet its efficiency is fundamentally constrained by the inability to simultaneously harness photogenerated electrons and holes in a balanced...

On the Convergence of JPEG Multiple Compression for Digital Forensics

Convergence means that the limit of the sequence will tend to a certain value. In some forensic scenarios, if the same manipulation is repeatedly performed on an image, the resulting image sequence tends to converge. Credible forensics can be achieved by utilizing this convergenc...

A Quality-Aware Multimodal Reliability Framework for Health Assessment and Remaining Useful Life Prediction of Cold-Region Tunnels

This study proposes a quality-aware multimodal framework for health-state assessment and remaining useful life (RUL) prediction of cold-region tunnels. The framework integrates structural-response, environmental, apparent-defect, and engineering-inspectiondata, with the apparent-...

Molecular Doping Induced High‐Performance Filterless Red‐Light Organic/Perovskite Photodetectors for Quantitative Analysis of Medical Photosensitizer Materials

ABSTRACT Red‐light narrowband photodetectors play indispensable roles in the photomedical industry, particularly in applications such as fluorescence imaging, photodynamic therapy, and non‐invasive optical diagnostics. Herein, we introduce a novel device architecture (OP‐PDs) tha...

Single-frame vehicle trajectory prediction via neural ODE-based motion-state forecasting

Accurate short-horizon vehicle trajectory prediction is critical for autonomous driving and vehicle-to-everything (V2X) communication. Most existing deep learning-based prediction methods rely on fixed-length historical trajectories and multi-agent context, which may be unavailab...

Ultra-low frequency Vibration Isolation Based on a Symmetric-Converging Series Horizontal-Spring Quasi-Zero-Stiffness Mechanism

Low-frequency vibrations, especially those in the ultra-low frequency range below 1 Hz, are difficult to suppress due to their long wavelengths, slow attenuation, and strong penetration. To address this challenge, a novel quasi-zero-stiffness (QZS) isolation mechanism is proposed...

Risk Assessment of Post-Earthquake Gas Explosion Disaster Chains in High-Rise Residential Buildings: A Fuzzy Bayesian and Complex Network Approach

To address the challenges in risk prevention and control of post-earthquake gas explosions in high-rise buildings and the deficiencies of traditional methods in handling uncertainty, this paper conducts a risk evolution analysis from the perspectives of fuzzy Bayesian networks (F...

Deep learning-based wireless channel prediction with propagation feature exploitation

Deep learning based wireless channel prediction can benefit from full exploitation of propagation features, yet how to construct effective inputs for accurate channel prediction remains under-explored. This paper presents a deep learning-based approach that optimizes environmenta...

Over 20.1% Efficiency of Layer‐by‐Layer Organic Photovoltaics by Incorporating High Hole Mobility Material with Crystallinity

ABSTRACT Series of layer‐by‐layer organic photovoltaics (LOPVs) were constructed with polymer D18 as donor and small molecule L8‐BO with self‐dissociation characteristics as acceptor. The high hole mobility and good crystallinity semiconductor C8‐BTBT was deliberately incorporate...

Numerical Study on Heat-Drag Reduction for Hypersonic Vehicles via Integrated Aerospike-Jet Configuration

Hypersonic vehicles are constrained by severe aerodynamic heating and drag, which limit both their performance and operational safety. To mitigate these critical issues, this study introduces an integrated aerospike configuration incorporating opposing and lateral jets, designed...

Multi-Axle Reference and Temporal-Consistency Deep SVDD for EMU Traction Motor Bearing Anomaly Detection Using Field Vibration Data

Field vibration monitoring of EMU traction motor bearings is commonly constrained by weak or relative labels, fluctuations in operating conditions, and limited abnormal samples. Under these conditions, learning a normal boundary from a single bearing position may be unstable, and...