Junshi Xia
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View article: Determinants of Customer Experience and Satisfaction Among Users of Digital E-Hailing Service
Determinants of Customer Experience and Satisfaction Among Users of Digital E-Hailing Service Open
E-hailing has become an increasingly popular mode of transportation in Southeast Asia, with GrabCar being one of the leading platforms offering convenient and affordable mobility solutions. This study aims to investigate the factors influe…
View article: Bright: a globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response
Bright: a globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response Open
Disaster events occur around the world and cause significant damage to human life and property. Earth observation (EO) data enables rapid and comprehensive building damage assessment, an essential capability crucial in the aftermath of a d…
View article: Taste Beyond the Trend: How Service Quality Drives Customer Loyalty in Malaysia’s Fast-Service F&B Sector
Taste Beyond the Trend: How Service Quality Drives Customer Loyalty in Malaysia’s Fast-Service F&B Sector Open
This study investigates the impact of service quality dimensions on customer satisfaction and loyalty in Malaysia’s fast-service food and beverage (F&B) sector, focusing on Mixue outlets. Guided by the SERVQUAL framework, the research aims…
View article: Multimodal Regression for Enzyme Turnover Rates Prediction
Multimodal Regression for Enzyme Turnover Rates Prediction Open
The enzyme turnover rate is a fundamental parameter in enzyme kinetics, reflecting the catalytic efficiency of enzymes. However, enzyme turnover rates remain scarce across most organisms due to the high cost and complexity of experimental …
View article: Dynamic Control of Momentum-Polarization Photoluminescence States with Liquid-Crystal-tuned Nanocavities
Dynamic Control of Momentum-Polarization Photoluminescence States with Liquid-Crystal-tuned Nanocavities Open
Dynamic control of light, and in particular beam steering, is pivotal in various optical applications, including telecommunications, LiDAR, and biomedical imaging. Traditional approaches achieve this by interfacing a tunable modulating dev…
View article: DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response
DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response Open
Large vision-language models (VLMs) have made great achievements in Earth vision. However, complex disaster scenes with diverse disaster types, geographic regions, and satellite sensors have posed new challenges for VLM applications. To fi…
View article: DynamicVL: Benchmarking Multimodal Large Language Models for Dynamic City Understanding
DynamicVL: Benchmarking Multimodal Large Language Models for Dynamic City Understanding Open
Multimodal large language models (MLLMs) have demonstrated remarkable capabilities in visual understanding, but their application to long-term Earth observation analysis remains limited, primarily focusing on single-temporal or bi-temporal…
View article: Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-Thought
Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-Thought Open
As Large Language Models (LLMs) rapidly advance, we introduce Hunyuan-TurboS, a novel large hybrid Transformer-Mamba Mixture of Experts (MoE) model. It synergistically combines Mamba's long-sequence processing efficiency with Transformer's…
View article: A dataset of gZiBeads images for dzi beads recognition
A dataset of gZiBeads images for dzi beads recognition Open
View article: SARLANG-1M: A Benchmark for Vision-Language Modeling in SAR Image Understanding
SARLANG-1M: A Benchmark for Vision-Language Modeling in SAR Image Understanding Open
Synthetic Aperture Radar (SAR) is a crucial remote sensing technology, enabling all-weather, day-and-night observation with strong surface penetration for precise and continuous environmental monitoring and analysis. However, SAR image int…
View article: Computed tomography ring artifact correction method with super-pixel segmentation and adaptive relative total variation
Computed tomography ring artifact correction method with super-pixel segmentation and adaptive relative total variation Open
This study not only tackles a significant challenge in medical imaging but also paves the way for new applications of PCCT in precision medicine. The code is publicly available for reproducibility, Github: https://github.com/XiaoNa-gdmu/Ri…
View article: Learning Generalizable Features for Tibial Plateau Fracture Segmentation Using Masked Autoencoder and Limited Annotations
Learning Generalizable Features for Tibial Plateau Fracture Segmentation Using Masked Autoencoder and Limited Annotations Open
Accurate automated segmentation of tibial plateau fractures (TPF) from computed tomography (CT) requires large amounts of annotated data to train deep learning models, but obtaining such annotations presents unique challenges. The process …
View article: OpenEarthMap-SAR: A Benchmark Synthetic Aperture Radar Dataset for Global High-Resolution Land Cover Mapping
OpenEarthMap-SAR: A Benchmark Synthetic Aperture Radar Dataset for Global High-Resolution Land Cover Mapping Open
High-resolution land cover mapping plays a crucial role in addressing a wide range of global challenges, including urban planning, environmental monitoring, disaster response, and sustainable development. However, creating accurate, large-…
View article: BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response
BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response Open
Overview BRIGHT is the first open-access, globally distributed, event-diverse multimodal dataset specifically curated to support AI-based disaster response. It covers five types of natural disasters and two types of man-made disasters acro…
View article: Innovation at the Crossroads: How Geographic Knowledge Composition and Stakeholder Ties Shape Firm Innovation Performance
Innovation at the Crossroads: How Geographic Knowledge Composition and Stakeholder Ties Shape Firm Innovation Performance Open
View article: Prevalence and Risk Factors of Adolescent Abnormal Spinal Curvature in Megacity of China: An Artificial Intelligence-Assisted Screening Approach
Prevalence and Risk Factors of Adolescent Abnormal Spinal Curvature in Megacity of China: An Artificial Intelligence-Assisted Screening Approach Open
View article: Constructing an Extensible Building Damage Dataset via Semi-supervised Fine-Tuning across 12 Natural Disasters
Constructing an Extensible Building Damage Dataset via Semi-supervised Fine-Tuning across 12 Natural Disasters Open
Post-disaster building damage assessment (BDA) is vital for emergency response. Deep learning (DL) models are increasingly being applied to achieve quick and automatic BDA on disaster remote sensing imagery, and their performance largely r…
View article: Bridging the Divide: How Dual-Background Leaders Unlock Returnee Innovation in Politically Connected Chinese Firms
Bridging the Divide: How Dual-Background Leaders Unlock Returnee Innovation in Politically Connected Chinese Firms Open
View article: An improved Budyko framework model incorporating water-carbon relationship for estimating evapotranspiration under climate and vegetation changes
An improved Budyko framework model incorporating water-carbon relationship for estimating evapotranspiration under climate and vegetation changes Open
Water-carbon relationships have been widely recognized in previous studies but rarely included in the Budyko framework. This study improves the Budyko-Fu model by considering the relationship of the underlying surface parameter with vegeta…
View article: Alignment of polarization volume gratings using semi-circular arc patterns via nanofabrication technology
Alignment of polarization volume gratings using semi-circular arc patterns via nanofabrication technology Open
Polarization volume gratings have the potential for future applications such as AR due to their high single-order diffraction efficiency and large angular and wavelength response range. However, the preparation method of photo alignment, w…
View article: The Big 4 audit dilemma: Board characteristics, audit quality, and sustainability disclosure in Malaysian companies
The Big 4 audit dilemma: Board characteristics, audit quality, and sustainability disclosure in Malaysian companies Open
Our study investigates the relationship between firm profitability, board characteristics, and the quality of sustainability disclosures, while examining the moderating effects of financial leverage and external audit assurance. A key focu…
View article: FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning
FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning Open
Molecular relational learning (MRL) is crucial for understanding the interaction behaviors between molecular pairs, a critical aspect of drug discovery and development. However, the large feasible model space of MRL poses significant chall…
View article: Generalized Few-Shot Semantic Segmentation in Remote Sensing: Challenge and Benchmark
Generalized Few-Shot Semantic Segmentation in Remote Sensing: Challenge and Benchmark Open
Learning with limited labelled data is a challenging problem in various applications, including remote sensing. Few-shot semantic segmentation is one approach that can encourage deep learning models to learn from few labelled examples for …
View article: SynRS3D: A Synthetic Dataset for Global 3D Semantic Understanding from Monocular Remote Sensing Imagery
SynRS3D: A Synthetic Dataset for Global 3D Semantic Understanding from Monocular Remote Sensing Imagery Open
Global semantic 3D understanding from single-view high-resolution remote sensing (RS) imagery is crucial for Earth Observation (EO). However, this task faces significant challenges due to the high costs of annotations and data collection, …
View article: Unsupervised Domain Adaptation Architecture Search with Self-Training for Land Cover Mapping
Unsupervised Domain Adaptation Architecture Search with Self-Training for Land Cover Mapping Open
Unsupervised domain adaptation (UDA) is a challenging open problem in land cover mapping. Previous studies show encouraging progress in addressing cross-domain distribution shifts on remote sensing benchmarks for land cover mapping. The ex…
View article: Deciphering pollution loads in the Middle-Lower Yangtze River by coupling water quality models with machine learning
Deciphering pollution loads in the Middle-Lower Yangtze River by coupling water quality models with machine learning Open
Pollution control and environmental protection of the Yangtze River have received major attention in China. However, modeling the river’s pollution load remains challenging due to limited monitoring and unclear spatiotemporal distrib…
View article: Quantifying Diurnal Differences and Interactions of Dominant Factors Influencing Land Surface Temperature in Typical Urban Functional Zones from 2d/3d Urban Morphology and Socio-Economic Perspectives
Quantifying Diurnal Differences and Interactions of Dominant Factors Influencing Land Surface Temperature in Typical Urban Functional Zones from 2d/3d Urban Morphology and Socio-Economic Perspectives Open
View article: Generating National Very High-Resolution Land Cover Product of France Without Any Labels: A Comparative Study
Generating National Very High-Resolution Land Cover Product of France Without Any Labels: A Comparative Study Open
View article: Intra- and Inter-Annual Spatiotemporal Variations and Climatic Driving Factors of Surface Water Area in the Irtysh River Basin During 1985-2022
Intra- and Inter-Annual Spatiotemporal Variations and Climatic Driving Factors of Surface Water Area in the Irtysh River Basin During 1985-2022 Open
View article: Intra- and Inter-Annual Spatiotemporal Variations and Climatic Driving Factors of Surface Water Area in the Irtysh River Basin During 1985-2022
Intra- and Inter-Annual Spatiotemporal Variations and Climatic Driving Factors of Surface Water Area in the Irtysh River Basin During 1985-2022 Open