Yu Wang
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View article: A Short Survey on Lung Cancer Diagnosis Based on CT Imaging and Artificial Intelligence
A Short Survey on Lung Cancer Diagnosis Based on CT Imaging and Artificial Intelligence Open
Lung cancer is one of the most prevalent and lethal malignant tumors globally, characterized by high morbidity and mortality rates. Early diagnosis is crucial for enhancing treatment efficacy, reducing mortality, and improving patients’ qu…
View article: Selecting Auxiliary Data via Neural Tangent Kernels for Low-Resource Domains
Selecting Auxiliary Data via Neural Tangent Kernels for Low-Resource Domains Open
Large language models (LLMs) have achieved remarkable success across widespread tasks, yet their application in low-resource domains remains a significant challenge due to data scarcity and the high risk of overfitting. While in-domain dat…
View article: Modeling of warranty decisions based on optimal preventive replacement considering the structural correlation of multi-component parallel systems
Modeling of warranty decisions based on optimal preventive replacement considering the structural correlation of multi-component parallel systems Open
In today’s highly competitive market, after-sales warranty services have evolved into a strategic differentiator for manufacturers. Within warranty management, manufacturers aim to minimize warranty cost, while users seek maximal system av…
View article: Noise Analysis of Signal Conditioning Circuit in Dipole acoustic Tools
Noise Analysis of Signal Conditioning Circuit in Dipole acoustic Tools Open
This article aims to explore the noise issues in the signal conditioning circuit of dipole acoustic tools and their application in practical logging sites. Dipole acoustic logging technology, as an advanced geophysical detection method, us…
View article: HeteroRAG: A Heterogeneous Retrieval-Augmented Generation Framework for Medical Vision Language Tasks
HeteroRAG: A Heterogeneous Retrieval-Augmented Generation Framework for Medical Vision Language Tasks Open
Medical large vision-language Models (Med-LVLMs) have shown promise in clinical applications but suffer from factual inaccuracies and unreliable outputs, posing risks in real-world diagnostics. While retrieval-augmented generation has emer…
View article: In situ 3D characterization of impact-extruded ignition and reaction growth behavior of a ductile energetic material
In situ 3D characterization of impact-extruded ignition and reaction growth behavior of a ductile energetic material Open
View article: Forecasting Time Series with LLMs via Patch-Based Prompting and Decomposition
Forecasting Time Series with LLMs via Patch-Based Prompting and Decomposition Open
Recent advances in Large Language Models (LLMs) have demonstrated new possibilities for accurate and efficient time series analysis, but prior work often required heavy fine-tuning and/or ignored inter-series correlations. In this work, we…
View article: VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate
VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate Open
Diffusion Transformer(DiT)-based generation models have achieved remarkable success in video generation. However, their inherent computational demands pose significant efficiency challenges. In this paper, we exploit the inherent temporal …
View article: Generation of Relativistic Structured Spin-Polarized Lepton Beams
Generation of Relativistic Structured Spin-Polarized Lepton Beams Open
Relativistic structured spin-polarized (SSP) particle beams, characterized by polarization structures, are of critical importance in a wide range of applications, such as material properties investigation, imaging, and information storage.…
View article: Oriented Assembly of 2D Metal‐Pyridylporphyrinic Framework to Regulate the Redox Kinetics in Li−S Batteries
Oriented Assembly of 2D Metal‐Pyridylporphyrinic Framework to Regulate the Redox Kinetics in Li−S Batteries Open
Developing the highly efficient catalysts is a great challenge for accelerating the redox reactions in Li−S batteries. Inspired by the single‐atom catalysts and metalloproteins, it makes full use of the advantages of metal–organic framewor…
View article: Performing of Spin‐Dependent Diodes in Co‐Doped SiC Bilayer by Fully Epitaxial Magnetic Tunnel Junctions
Performing of Spin‐Dependent Diodes in Co‐Doped SiC Bilayer by Fully Epitaxial Magnetic Tunnel Junctions Open
The switching mechanisms of a spin current diode induced by an alternating electric field are investigated within fully epitaxial magnetic tunnel junctions (TJs) composed of a SiC double layer. This is achieved through precise engineering …
View article: A subset of cortical areas exhibit adult-like functional network patterns in early childhood
A subset of cortical areas exhibit adult-like functional network patterns in early childhood Open
View article: Correction: Tracking the peacocks: a gravity analysis of the Chinese migration system, 1990–2020
Correction: Tracking the peacocks: a gravity analysis of the Chinese migration system, 1990–2020 Open
View article: DLFR-VAE: Dynamic Latent Frame Rate VAE for Video Generation
DLFR-VAE: Dynamic Latent Frame Rate VAE for Video Generation Open
In this paper, we propose the Dynamic Latent Frame Rate VAE (DLFR-VAE), a training-free paradigm that can make use of adaptive temporal compression in latent space. While existing video generative models apply fixed compression rates via p…
View article: Sagittal balance of the spine - a geometric force-line model
Sagittal balance of the spine - a geometric force-line model Open
Objective To introduce a new geometric force-line model to assess the sagittal spinal-pelvic alignments and statistically analyze the main parameters of the model, offering a novel perspective for understanding the sagittal balance. Method…
View article: Towards Omni-RAG: Comprehensive Retrieval-Augmented Generation for Large Language Models in Medical Applications
Towards Omni-RAG: Comprehensive Retrieval-Augmented Generation for Large Language Models in Medical Applications Open
Large language models hold promise for addressing medical challenges, such as medical diagnosis reasoning, research knowledge acquisition, clinical decision-making, and consumer health inquiry support. However, they often generate hallucin…
View article: Innovative Expression of Canal Cultural Symbols in Cultural and Creative Design Driven by Virtual Reality Technology
Innovative Expression of Canal Cultural Symbols in Cultural and Creative Design Driven by Virtual Reality Technology Open
The use of virtual reality technology makes the visual communication expression of cultural and creative from plane to three-dimensional, so that the user’s understanding of cultural and creative design is more in-depth. In this paper, we …
View article: Data-Driven Bayesian Network for Risk Analysis of Urban Hydrogen Refueling Station Accident
Data-Driven Bayesian Network for Risk Analysis of Urban Hydrogen Refueling Station Accident Open
View article: Feature Analysis and Application of Music Works Based on Artificial Neural Network
Feature Analysis and Application of Music Works Based on Artificial Neural Network Open
At present, the classification model of Music App genres is unstable, the recognition is wrong, the recognition form is single, and the music signal features are simple, which leads to the low accuracy of classification and recognition. In…
View article: The Design and Analysis of Active–Passive Hybrid Vibration Isolation Mounts Applied in Pump
The Design and Analysis of Active–Passive Hybrid Vibration Isolation Mounts Applied in Pump Open
Pump vibrations are noticeable in a wide frequency range when the nuclear power plant is operating, particularly in the low frequencies when line‐spectrum vibrations are evident and complicated. Currently, the pump equipment uses a passive…
View article: Uncertainty analysis of detonation based on probability learning on manifold
Uncertainty analysis of detonation based on probability learning on manifold Open
Detonation test is affected by small experimental datasets due to high risk of implementation and the huge cost of sample production and measurement. The major challenges of limited data consist in constructing the probability distribution…
View article: Towards the Mitigation of Confirmation Bias in Semi-supervised Learning: a Debiased Training Perspective
Towards the Mitigation of Confirmation Bias in Semi-supervised Learning: a Debiased Training Perspective Open
Semi-supervised learning (SSL) commonly exhibits confirmation bias, where models disproportionately favor certain classes, leading to errors in predicted pseudo labels that accumulate under a self-training paradigm. Unlike supervised setti…
View article: Behavior evolution-inspired approach to walking gait reinforcement training for quadruped robots
Behavior evolution-inspired approach to walking gait reinforcement training for quadruped robots Open
Reinforcement learning method is extremely competitive in gait generation techniques for quadrupedal robot, which is mainly due to the fact that stochastic exploration in reinforcement training is beneficial to achieve an autonomous gait. …
View article: The Generalizability of Cortical Area Parcellations Across Early Childhood
The Generalizability of Cortical Area Parcellations Across Early Childhood Open
The cerebral cortex consists of distinct areas that develop through intrinsic embryonic patterning and postnatal experiences. Accurate parcellation of these areas in neuroimaging studies improves statistical power and cross-study comparabi…
View article: A Subset of Cortical Areas Exhibit Adult-like Functional Network Patterns in Early Childhood
A Subset of Cortical Areas Exhibit Adult-like Functional Network Patterns in Early Childhood Open
The human cerebral cortex contains groups of areas that support sensory, motor, cognitive, and affective functions, often categorized into functional networks. These networks show stronger internal and weaker external functional connectivi…
View article: GMS-YOLO：Improved water meter reading recognition algorithm based on YOLOv8
GMS-YOLO：Improved water meter reading recognition algorithm based on YOLOv8 Open
Owing to the disorderly arrangement of water meter pipelines and the random rotation angles of their mechanical numeral wheels, the captured images of water meters reveal issues such as tilt, blurriness, and missing characters. It is evide…
View article: Function-Level Compilation Provenance Identification with Multi-Faceted Neural Feature Distillation and Fusion
Function-Level Compilation Provenance Identification with Multi-Faceted Neural Feature Distillation and Fusion Open
In the landscape of software development, the selection of compilation tools and settings plays a pivotal role in the creation of executable binaries. This diversity, while beneficial, introduces significant challenges for reverse engineer…
View article: Research on the removal characteristics of surface error with different spatial frequency based on shear thickening polishing method
Research on the removal characteristics of surface error with different spatial frequency based on shear thickening polishing method Open
X-ray mirrors, which are essential for constructing synchrotron radiation light sources, are highly required for full-range spatial wavelength errors. This paper investigated power-law non-Newtonian fluids and pointed out that both three-b…
View article: Quantum Spin Exchange Interactions to Accelerate the Redox Kinetics in Li–S Batteries
Quantum Spin Exchange Interactions to Accelerate the Redox Kinetics in Li–S Batteries Open
View article: Autocorrelation-based Signal Reconstruction for Multi-source time series Anomaly Detection
Autocorrelation-based Signal Reconstruction for Multi-source time series Anomaly Detection Open