Xiaochen Yuan
YOU?
Author Swipe
View article: Global Scenario Reference Datasets for Climate Change Integrated Assessment with Machine Learning
Global Scenario Reference Datasets for Climate Change Integrated Assessment with Machine Learning Open
The deepening of global climate change research and increasingly complex integrated assessment methods generate large amounts of heterogeneous data. The rapid development of artificial intelligence (AI) models, particularly large language …
View article: FaceShield: Explainable Face Anti-Spoofing with Multimodal Large Language Models
FaceShield: Explainable Face Anti-Spoofing with Multimodal Large Language Models Open
Face anti-spoofing (FAS) is crucial for protecting facial recognition systems from presentation attacks. Previous methods approached this task as a classification problem, lacking interpretability and reasoning behind the predicted results…
View article: DADM: Dual Alignment of Domain and Modality for Face Anti-spoofing
DADM: Dual Alignment of Domain and Modality for Face Anti-spoofing Open
With the availability of diverse sensor modalities (i.e., RGB, Depth, Infrared) and the success of multi-modal learning, multi-modal face anti-spoofing (FAS) has emerged as a prominent research focus. The intuition behind it is that levera…
View article: FFLKCDNet: First Fusion Large-Kernel Change Detection Network for High-Resolution Remote Sensing Images
FFLKCDNet: First Fusion Large-Kernel Change Detection Network for High-Resolution Remote Sensing Images Open
Change detection is an important technique that identifies areas of change by comparing images of the same location taken at different times, and it is widely used in urban expansion monitoring, resource exploration, land use detection, an…
View article: Adaptive Quantum Scaling Model for Histogram Distribution-based Quantum Watermarking
Adaptive Quantum Scaling Model for Histogram Distribution-based Quantum Watermarking Open
The development of quantum image representation and quantum measurement techniques has made quantum image processing research a hot topic. In this paper, a novel Adaptive Quantum Scaling Model (AQSM) is first proposed for scrambling waterm…
View article: SAM-Based Efficient Feature Integration Network for Remote Sensing Change Detection: A Case Study on Macao Sea Reclamation
SAM-Based Efficient Feature Integration Network for Remote Sensing Change Detection: A Case Study on Macao Sea Reclamation Open
Sea reclamation expands land resources along coastal areas and supports sustainable urban growth. Sea reclamation monitoring is a significant application of remote sensing change detection (RSCD). Segment anything model (SAM) supports zero…
View article: Lightweight Image Encryption Algorithm Using 4D-NDS: Compound Dynamic Diffusion and Single-Round Efficiency
Lightweight Image Encryption Algorithm Using 4D-NDS: Compound Dynamic Diffusion and Single-Round Efficiency Open
With the development of the Internet of Things (IoT) and communication technologies, multimedia information has become an essential part of communication. As a carrier with high information density and large transmission volume, image data…
View article: QLAW: An Improved Quantization-Based Local Audio Watermarking Scheme Using Inter-Frame Correlation
QLAW: An Improved Quantization-Based Local Audio Watermarking Scheme Using Inter-Frame Correlation Open
With the rapid development of the Internet, audio distribution has become more convenient with increasing copyright infringement. To address this problem, this paper proposes a quantization-based local audio watermarking scheme using inter…
View article: LCCDMamba: Visual State Space Model for Land Cover Change Detection of VHR Remote Sensing Images
LCCDMamba: Visual State Space Model for Land Cover Change Detection of VHR Remote Sensing Images Open
Land cover change detection (LCCD) is a crucial research topic for rational planning of land use and facilitation of sustainable land resource growth. However, due to the complexity of LCCD tasks, integrating global and local features and …
View article: Hybrid Dual-Input Model for Respiratory Sound Classification With Mel Spectrogram and Waveform
Hybrid Dual-Input Model for Respiratory Sound Classification With Mel Spectrogram and Waveform Open
Respiratory sounds serve as early indicators of lung diseases. The development of computer-aided classification systems has become a key enabler for timely diagnosis and treatment. The technology has improved basic services, particularly i…
View article: TDJSCC: Low Complexity and Bandwidth Efficient Deep Joint Source-Channel Coding With OFDM
TDJSCC: Low Complexity and Bandwidth Efficient Deep Joint Source-Channel Coding With OFDM Open
The practical deployment of deep joint source-channel coding (DJSCC) in edge devices faces two critical limitations. First, the prohibitive computational complexity of deep neural networks hinders efficiency. Second, existing OFDM-based sy…
View article: FEN-MRMGCN: A Frontend-Enhanced Network Based on Multi-Relational Modeling GCN for Bus Arrival Time Prediction
FEN-MRMGCN: A Frontend-Enhanced Network Based on Multi-Relational Modeling GCN for Bus Arrival Time Prediction Open
Accurate bus arrival time prediction is crucial for enhancing passenger experience and optimizing smart city transit systems. Existing methods, typically based on single-route, sparse stop data, struggle with the complex spatiotemporal int…
View article: A Model-free Biomimetics Algorithm for Deterministic Partially Observable Markov Decision Process
A Model-free Biomimetics Algorithm for Deterministic Partially Observable Markov Decision Process Open
Partially Observable Markov Decision Process (POMDP) is a mathematical framework for modeling decision-making under uncertainty, where the agent's observations are incomplete and the underlying system dynamics are probabilistic. Solving th…
View article: Pattern-based quantum text watermarking: Securing digital content with next-Gen quantum techniques
Pattern-based quantum text watermarking: Securing digital content with next-Gen quantum techniques Open
As pioneers of next-generation watermarking technologies, quantum methods offer advanced solutions for securing digital text copyright. Quantum text representation is a prerequisite for realizing quantum watermarking. Thus we propose a gen…
View article: IMAN: An Adaptive Network for Robust NPC Mortality Prediction with Missing Modalities
IMAN: An Adaptive Network for Robust NPC Mortality Prediction with Missing Modalities Open
Accurate prediction of mortality in nasopharyngeal carcinoma (NPC), a complex malignancy particularly challenging in advanced stages, is crucial for optimizing treatment strategies and improving patient outcomes. However, this predictive p…
View article: LungNeXt: A novel lightweight network utilizing enhanced mel-spectrogram for lung sound classification
LungNeXt: A novel lightweight network utilizing enhanced mel-spectrogram for lung sound classification Open
Lung auscultation is essential for early lung condition detection. Categorizing adventitious lung sounds requires expert discrimination by medical specialists. This paper details the features of LungNeXt, a novel classification model speci…
View article: A novel blockchain-watermarking mechanism utilizing interplanetary file system and fast walsh hadamard transform
A novel blockchain-watermarking mechanism utilizing interplanetary file system and fast walsh hadamard transform Open
This article proposes a new digital watermarking mechanism based on the Ethereum blockchain, Smart Contract, and Interplanetary File System (IPFS), with an enhanced Fast Walsh Hadamard Transform (FWHT) algorithm for watermark embedding and…
View article: Large kernel convolution application for land cover change detection of remote sensing images
Large kernel convolution application for land cover change detection of remote sensing images Open
In land cover change detection tasks, extracting universal features of changing targets is crucial for achieving precise detection results. A larger receptive field helps the model capture these universal features of changing targets. Alth…
View article: FastFace: Fast-converging Scheduler for Large-scale Face Recognition Training with One GPU
FastFace: Fast-converging Scheduler for Large-scale Face Recognition Training with One GPU Open
Computing power has evolved into a foundational and indispensable resource in the area of deep learning, particularly in tasks such as Face Recognition (FR) model training on large-scale datasets, where multiple GPUs are often a necessity.…
View article: Adaptive Query Prompting for Multi-Domain Landmark Detection
Adaptive Query Prompting for Multi-Domain Landmark Detection Open
Medical landmark detection is crucial in various medical imaging modalities and procedures. Although deep learning-based methods have achieve promising performance, they are mostly designed for specific anatomical regions or tasks. In this…
View article: PVALane: Prior-Guided 3D Lane Detection with View-Agnostic Feature Alignment
PVALane: Prior-Guided 3D Lane Detection with View-Agnostic Feature Alignment Open
Monocular 3D lane detection is essential for a reliable autonomous driving system and has recently been rapidly developing. Existing popular methods mainly employ a predefined 3D anchor for lane detection based on front-viewed (FV) space, …
View article: Multi-Granularity Hypergraph Enhanced Hierarchical Neural Network Framework for Visual Classification
Multi-Granularity Hypergraph Enhanced Hierarchical Neural Network Framework for Visual Classification Open
Fine-grained single-label classification tasks aim to distinguish highly similar categories but often overlook inter-category relationships. Hierarchical multi-granularity visual classification strives to categorize image labels at various…
View article: KDTM: Multi-Stage Knowledge Distillation Transfer Model for Long-Tailed DGA Detection
KDTM: Multi-Stage Knowledge Distillation Transfer Model for Long-Tailed DGA Detection Open
As the most commonly used attack strategy by Botnets, the Domain Generation Algorithm (DGA) has strong invisibility and variability. Using deep learning models to detect different families of DGA domain names can improve the network defens…
View article: BWLM: A Balanced Weight Learning Mechanism for Long-Tailed Image Recognition
BWLM: A Balanced Weight Learning Mechanism for Long-Tailed Image Recognition Open
With the growth of data in the real world, datasets often encounter the problem of long-tailed distribution of class sample sizes. In long-tailed image recognition, existing solutions usually adopt a class rebalancing strategy, such as rew…
View article: Encryption-then-embedding-based hybrid data hiding scheme for medical images
Encryption-then-embedding-based hybrid data hiding scheme for medical images Open
The smart healthcare system plays a vital role in modern healthcare, facilitating the exchange of Electronic Patient Records (EPR), and improving medical care. Nevertheless, safeguarding the inherent security and confidentiality of EPR dat…
View article: A Graph-Based Framework for Traffic Forecasting and Congestion Detection Using Online Images From Multiple Cameras
A Graph-Based Framework for Traffic Forecasting and Congestion Detection Using Online Images From Multiple Cameras Open
Many countries across the globe face the serious issue of traffic congestion. This paper presents a low-cost graph-based traffic forecasting and congestion detection framework using online images from multiple cameras. The advantage of usi…
View article: F3Net: Feature Filtering Fusing Network for Change Detection of Remote Sensing Images
F3Net: Feature Filtering Fusing Network for Change Detection of Remote Sensing Images Open
Change detection of remote sensing images is an essential method for observing changes on the Earth's surface. Deep learning can efficiently process remote sensing images. However, shallow features in remote sensing data from different tim…
View article: Virtual Practice Teaching of Civics Classes in Colleges and Universities in the Context of Big Data Technology
Virtual Practice Teaching of Civics Classes in Colleges and Universities in the Context of Big Data Technology Open
In this study, we successfully realized the interaction design of virtual Civics teaching scene through multiresolution hierarchical detail (LOD) model, and constructed an immersive teaching environment using texture mapping technology. Co…