Peng Yang
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View article: Entity class-restricted twin attention-based aggregation for geographic knowledge graph inference
Entity class-restricted twin attention-based aggregation for geographic knowledge graph inference Open
Geographic knowledge graphs (GeoKGs) describe and simulate geographic phenomena by storing geographic entities with their semantic relations, providing a foundation for many real-world tasks such as urban function identification. However, …
View article: DP-Fed6G: An adaptive differential privacy-empowered federated learning framework for 6G networks
DP-Fed6G: An adaptive differential privacy-empowered federated learning framework for 6G networks Open
View article: Redox Activity of APE1 Mediates SASP Suppression in Senescent Fibroblasts
Redox Activity of APE1 Mediates SASP Suppression in Senescent Fibroblasts Open
Cellular senescence, triggered by multiple stressors, was characterized by senescence-associated secretory phenotype (SASP) that drive age-related pathologies. Apurinic apyrimidinic endonuclease 1 (APE1), a bifunctional enzyme with redox a…
View article: Rw-Dm: Retinex and wavelet-based diffusion model for low-light image enhancement in underground coal mines
Rw-Dm: Retinex and wavelet-based diffusion model for low-light image enhancement in underground coal mines Open
The images in underground coal mines suffer from low contrast and poor visibility. While diffusion model-based approaches for low-light image enhancement have shown considerable promise, these methods are often characterized by high resour…
View article: Educational Experiences on Using Large Language Models for Software Testing Projects
Educational Experiences on Using Large Language Models for Software Testing Projects Open
View article: Adaptive Subarray Segmentation: A New Paradigm of Spatial Non-Stationary Near-Field Channel Estimation for XL-MIMO Systems
Adaptive Subarray Segmentation: A New Paradigm of Spatial Non-Stationary Near-Field Channel Estimation for XL-MIMO Systems Open
To address the complexities of spatial non-stationary (SnS) effects and spherical wave propagation in near-field channel estimation (CE) for extremely large-scale multiple-input multiple-output (XL-MIMO) systems, this paper proposes an SnS…
View article: Multi-view knowledge representation learning for personalized news recommendation
Multi-view knowledge representation learning for personalized news recommendation Open
View article: An Approach to Optimizing Semantic Consistency for Text-to-Digital Human Generation
An Approach to Optimizing Semantic Consistency for Text-to-Digital Human Generation Open
View article: Ergonomic Workload Assessment of Order Picking Operations Based on Machine Learning with sEMG Signals
Ergonomic Workload Assessment of Order Picking Operations Based on Machine Learning with sEMG Signals Open
View article: Rationale-guided Prompting for Knowledge-based Visual Question Answering
Rationale-guided Prompting for Knowledge-based Visual Question Answering Open
Recently, Large Language Models (LLMs) have been used for knowledge-based Visual Question Answering (VQA). Despite the encouraging results of previous studies, prior methods prompt LLMs to predict answers directly, neglecting intermediate …
View article: Knowledge Representation and Reuse of Ship Block Coating Based on Knowledge Graph
Knowledge Representation and Reuse of Ship Block Coating Based on Knowledge Graph Open
Ship coating, as one of the three pillar processes in the shipbuilding industry, runs through the entire process of ship construction. However, there is currently a lack of effective organization, management methods, and mechanisms for shi…
View article: Online verification and management scheme of gateway meter flow in the power system by machine learning
Online verification and management scheme of gateway meter flow in the power system by machine learning Open
Currently, the calibration of electric energy meters often involves manual meter reading, dismantling inspection, or regular sampling inspection conducted by professionals. To improve work efficiency and verification accuracy, this researc…
View article: Global and domestic economic policy uncertainties and tourism stock market: Evidence from China
Global and domestic economic policy uncertainties and tourism stock market: Evidence from China Open
This study investigates the impacts of global economic policy uncertainty (GEPU) and domestic (Chinese) economic policy uncertainty (CEPU) on the long-run volatility of the tourism stock market in China based on an improved GARCH–MIDAS–X m…
View article: Short-Term Heavy Overload Forecasting of Public Transformers Based on Combined LSTM-XGBoost Model
Short-Term Heavy Overload Forecasting of Public Transformers Based on Combined LSTM-XGBoost Model Open
In order to effectively carry out the heavy overload monitoring and maintenance of public transformers in the distribution network, ensure the reliability of the distribution network power supply, and improve customer satisfaction with ele…
View article: Rumor detection driven by graph attention capsule network on dynamic propagation structures
Rumor detection driven by graph attention capsule network on dynamic propagation structures Open
View article: A Statistical Language Model for Pre-Trained Sequence Labeling: A Case Study on Vietnamese
A Statistical Language Model for Pre-Trained Sequence Labeling: A Case Study on Vietnamese Open
By defining the computable word segmentation unit and studying its probability characteristics, we establish an unsupervised statistical language model (SLM) for a new pre-trained sequence labeling framework in this article. The proposed S…
View article: Leveraging Global and Local Topic Popularities for LDA-Based Document Clustering
Leveraging Global and Local Topic Popularities for LDA-Based Document Clustering Open
Document clustering is of high importance for many natural language technologies. A wide range of computational traditional topic models, such as LDA (Latent Dirichlet Allocation) and its variants, have made great progress. However, tradit…
View article: A convolutional neural network-based linguistic steganalysis for synonym substitution steganography
A convolutional neural network-based linguistic steganalysis for synonym substitution steganography Open
In this paper, a linguistic steganalysis method based on two-level cascaded convolutional neural networks (CNNs) is proposed to improve the system's ability to detect stego texts, which are generated via synonym substitutions. The first-le…
View article: Phishing Website Detection Based on Multidimensional Features Driven by Deep Learning
Phishing Website Detection Based on Multidimensional Features Driven by Deep Learning Open
As a crime of employing technical means to steal sensitive information of users, phishing is currently a critical threat facing the Internet, and losses due to phishing are growing steadily. Feature engineering is important in phishing web…
View article: Language Model-Driven Topic Clustering and Summarization for News Articles
Language Model-Driven Topic Clustering and Summarization for News Articles Open
Topic models have been widely utilized in Topic Detection and Tracking tasks, which aim to detect, track, and describe topics from a stream of broadcast news reports. However, most existing topic models neglect semantic or syntactic inform…
View article: An effective privacy protection mechanism in VANETs
An effective privacy protection mechanism in VANETs Open
With the development of vehicle communication technologies, vehicular ad hoc networks (VANETs) achieve communication through short distance communication technology. However, the privacy of vehicles and messages are vulnerable attacked by …
View article: Small Sugarcane Harvester Conveying Failure Analysis
Small Sugarcane Harvester Conveying Failure Analysis Open
The small sugarcane harvester is the main model that it is fitted for hilly areas, but it is vulnerable to conveying failure.To breakthrough the limitation of individual harvester`s structural improvement traditionally, Traditionally struc…
View article: A Wafer Level Vacuum Encapsulated Capacitive Accelerometer Fabricated in an Unmodified Commercial MEMS Process
A Wafer Level Vacuum Encapsulated Capacitive Accelerometer Fabricated in an Unmodified Commercial MEMS Process Open
We present the design and fabrication of a single axis low noise accelerometer in an unmodified commercial MicroElectroMechanical Systems (MEMS) process. The new microfabrication process, MEMS Integrated Design for Inertial Sensors (MIDIS)…
View article: Survey on unsupervised spoken term detection for low-resource languages
Survey on unsupervised spoken term detection for low-resource languages Open