Yuan Yuan
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View article: Time-Regularized Bifurcation Framework for Constructing Tulip Orbits in the CRTBP
Time-Regularized Bifurcation Framework for Constructing Tulip Orbits in the CRTBP Open
Tulip orbits, a recently identified family of complex periodic solutions in the circular restricted three-body problem (CRTBP), exhibit near-neutral stability, diverse geometrical structures, and multi-directional coverage of the secondary…
View article: Hierarchical intertwined graph representation learning for skeleton-based action recognition
Hierarchical intertwined graph representation learning for skeleton-based action recognition Open
View article: Research on text information recognition and mining methods for fault records of traction power supply equipment
Research on text information recognition and mining methods for fault records of traction power supply equipment Open
The fault records of traction power supply equipment contain rich historical fault processing experience, which is of great significance to the fault handling of traction power supply equipment. However, the fault records of TPSE are unstr…
View article: Study on the Optimization of Natural Gas Station Inspection Paths Considering Station Priority
Study on the Optimization of Natural Gas Station Inspection Paths Considering Station Priority Open
As the demand for natural gas supply chain security increases, the optimization of inspection efficiency in natural gas stations is increasingly critical to ensure the safe operation of equipment. This study identifies key issues, includin…
View article: Artificial Intelligence Reshapes Creativity: A Multidimensional Evaluation
Artificial Intelligence Reshapes Creativity: A Multidimensional Evaluation Open
Artificial intelligence (AI) is reshaping creativity by challenging its long‐held status as a uniquely human faculty. This study uses bibliometric analysis to reveal AI’s evolution from a passive instrument to an active co‐creator that amp…
View article: Color image reversible data hiding based on adaptive capacity allocation and pixel value similarity distance sorting
Color image reversible data hiding based on adaptive capacity allocation and pixel value similarity distance sorting Open
Most existing reversible data hiding (RDH) algorithms for color images adopt a fixed-ratio capacity allocation approach, often resulting in allocation errors. This paper presents a reversible data hiding scheme for color images, integratin…
View article: Engineering Pichia pastoris for the efficient production of the high-value steroid intermediate 15α-OH-D-ethylgonendione
Engineering Pichia pastoris for the efficient production of the high-value steroid intermediate 15α-OH-D-ethylgonendione Open
View article: Tomato leaf disease detection method based on improved YOLOv8n
Tomato leaf disease detection method based on improved YOLOv8n Open
View article: Ethical dilemmas and the reconstruction of subjectivity in digital mourning in the age of AI: an empirical study on the acceptance intentions of bereaved family members of cancer patients
Ethical dilemmas and the reconstruction of subjectivity in digital mourning in the age of AI: an empirical study on the acceptance intentions of bereaved family members of cancer patients Open
Introduction With the rapid advancement of AI replication, virtual memorials, and affective computing technologies, digital mourning has emerged as a prevalent mode of psychological reconstruction for families coping with the loss of termi…
View article: Enhancing Vector Quantization with Distributional Matching: A Theoretical and Empirical Study
Enhancing Vector Quantization with Distributional Matching: A Theoretical and Empirical Study Open
The success of autoregressive models largely depends on the effectiveness of vector quantization, a technique that discretizes continuous features by mapping them to the nearest code vectors within a learnable codebook. Two critical issues…
View article: TIME: TabPFN-Integrated Multimodal Engine for Robust Tabular-Image Learning
TIME: TabPFN-Integrated Multimodal Engine for Robust Tabular-Image Learning Open
Tabular-image multimodal learning, which integrates structured tabular data with imaging data, holds great promise for a variety of tasks, especially in medical applications. Yet, two key challenges remain: (1) the lack of a standardized, …
View article: A Survey of Large Language Model-Powered Spatial Intelligence Across Scales: Advances in Embodied Agents, Smart Cities, and Earth Science
A Survey of Large Language Model-Powered Spatial Intelligence Across Scales: Advances in Embodied Agents, Smart Cities, and Earth Science Open
Over the past year, the development of large language models (LLMs) has brought spatial intelligence into focus, with much attention on vision-based embodied intelligence. However, spatial intelligence spans a broader range of disciplines …
View article: Semantic Segmentation on Raindrop Degraded Images Using Two-Stage Dual Teacher-Student Learning
Semantic Segmentation on Raindrop Degraded Images Using Two-Stage Dual Teacher-Student Learning Open
Existing semantic segmentation methods face challenges when processing input images degraded by raindrops on the lens or windshield. Unlike other adverse conditions such as fog and nighttime, which degrade visual quality, raindrops not onl…
View article: Enhancing Low-Rank Adaptation with Recoverability-Based Reinforcement Pruning for Object Counting
Enhancing Low-Rank Adaptation with Recoverability-Based Reinforcement Pruning for Object Counting Open
Object counting is crucial for understanding the distribution of objects in different scenarios. Recently, many object counting networks have been designed to be more complex to achieve marginal improvements, leading to excessive time spen…
View article: Central Pixel-Based Dual-Branch Network for Hyperspectral Image Classification
Central Pixel-Based Dual-Branch Network for Hyperspectral Image Classification Open
Hyperspectral image classification faces significant challenges in effectively extracting and integrating spectral-spatial features from high-dimensional data. Recent deep learning (DL) methods combining Convolutional Neural Networks (CNNs…
View article: An Imbalanced Learning-based Sampling Method for Physics-informed Neural Networks
An Imbalanced Learning-based Sampling Method for Physics-informed Neural Networks Open
This paper introduces Residual-based Smote (RSmote), an innovative local adaptive sampling technique tailored to improve the performance of Physics-Informed Neural Networks (PINNs) through imbalanced learning strategies. Traditional residu…
View article: Machine Learning Prediction of Density for Binary Mg-Containing Phases
Machine Learning Prediction of Density for Binary Mg-Containing Phases Open
View article: Hybrid Texture-Structural Learning for Hyperspectral Image Classification
Hybrid Texture-Structural Learning for Hyperspectral Image Classification Open
View article: Cross-Domain Hyperspectral Image Classification
Cross-Domain Hyperspectral Image Classification Open
View article: A Novel HPNVD Descriptor for 3D Local Surface Description
A Novel HPNVD Descriptor for 3D Local Surface Description Open
Existing methods for 3D local feature description often struggle to achieve a good balance between distinctiveness, robustness, and computational efficiency. To address this challenge, a novel 3D local feature descriptor named Histograms o…
View article: Is Large Language Model Good at Triple Set Prediction? An Empirical Study
Is Large Language Model Good at Triple Set Prediction? An Empirical Study Open
The core of the Knowledge Graph Completion (KGC) task is to predict and complete the missing relations or nodes in a KG. Common KGC tasks are mostly about inferring unknown elements with one or two elements being known in a triple. In comp…
View article: Exploring the Dual Impact of Green Bond Issuance on Corporate Financial Performance and Environmental Performance - The Case of BYD
Exploring the Dual Impact of Green Bond Issuance on Corporate Financial Performance and Environmental Performance - The Case of BYD Open
Green bonds have assumed a distinct and pivotal role in the global wave of sustainable development. As the green bond market continues to expand annually, it is imperative not to underestimate developing countries' influence. China has eme…
View article: Peri-implantation treatment with TNF-α inhibitor for endometriosis and/or adenomyosis women undergoing frozen-thawed embryo transfer: A retrospective cohort study
Peri-implantation treatment with TNF-α inhibitor for endometriosis and/or adenomyosis women undergoing frozen-thawed embryo transfer: A retrospective cohort study Open
In women with endometriosis and/or adenomyosis, peri-implantation treatment with TNF-α inhibitor increased implantation rate and clinical pregnancy rate significantly compared with control group in FET cycles. The ongoing pregnancy rate an…
View article: Understanding World or Predicting Future? A Comprehensive Survey of World Models
Understanding World or Predicting Future? A Comprehensive Survey of World Models Open
The concept of world models has garnered significant attention due to advancements in multimodal large language models such as GPT-4 and video generation models such as Sora, which are central to the pursuit of artificial general intellige…
View article: Worldwide burden of non-alcoholic fatty liver disease,1990-2021: a systematic analysis of the Global Burden of Disease Study 2021
Worldwide burden of non-alcoholic fatty liver disease,1990-2021: a systematic analysis of the Global Burden of Disease Study 2021 Open
Background & Aims: Non-alcoholic fatty liver disease (NAFLD) is the most frequent chronic liver disease globally, posing a substantial burden on global health. Therefore, it is significant to investigate its epidemiology to provide data su…
View article: Magnetic Resonance Elastography Combined With <scp>PI</scp>‐<scp>RADS</scp> v2.1 for the Identification of Clinically Significant Prostate Cancer
Magnetic Resonance Elastography Combined With <span>PI</span>‐<span>RADS</span> v2.1 for the Identification of Clinically Significant Prostate Cancer Open
Background Multiparametric MRI may cause overdiagnosis of clinically significant prostate cancer (csPCa) with the Prostate Imaging Reporting and Data System version 2.1 (PI‐RADS v2.1). Objectives To investigate the diagnostic performance o…
View article: LCGSC-YOLO: a lightweight apple leaf diseases detection method based on LCNet and GSConv module under YOLO framework
LCGSC-YOLO: a lightweight apple leaf diseases detection method based on LCNet and GSConv module under YOLO framework Open
Introduction In response to the current mainstream deep learning detection methods with a large number of learned parameters and the complexity of apple leaf disease scenarios, the paper proposes a lightweight method and names it LCGSC-YOL…
View article: Robust 3D object recognition based on improved Hough voting
Robust 3D object recognition based on improved Hough voting Open
3D object recognition is a critical task in fields such as computer vision and pattern recognition. Recently, point cloud-based 3D object recognition techniques have been widely applied in areas such as automated grasping, remote sensing, …
View article: Preparation of nano-TiO<sub>2</sub> spherical catalyst doped with nonmetallic elements for potential use in CO<sub>2</sub> reduction
Preparation of nano-TiO<sub>2</sub> spherical catalyst doped with nonmetallic elements for potential use in CO<sub>2</sub> reduction Open
P (St-HEA) microsphere was synthesized as template to prepare TiO 2 . Nano TiO 2 spheres, nitrogen doped TiO 2 (N-TiO 2 ) spheres and sulfur doped TiO 2 (S-TiO 2 ) spheres were prepared by sol-gel method with the above template. The sample…
View article: Photonic KAN: a Kolmogorov-Arnold network inspired efficient photonic neuromorphic architecture
Photonic KAN: a Kolmogorov-Arnold network inspired efficient photonic neuromorphic architecture Open
Kolmogorov-Arnold Networks (KAN) models were recently proposed and claimed to provide improved parameter scaling and interpretability compared to conventional multilayer perceptron (MLP) models. Inspired by the KAN architecture, we propose…