Zhiwei Ye
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View article: BiaMix Contrastive Learning and Memory Similarity Distillation in Class‐Incremental Learning
BiaMix Contrastive Learning and Memory Similarity Distillation in Class‐Incremental Learning Open
Class‐incremental learning studies the problem of continually learning new classes from data streams. But networks suffer from catastrophic forgetting problems, forgetting past knowledge when acquiring new knowledge. Among different approa…
View article: TSMS-HRO: A Two-Stage Multi-Strategy Hybrid Rice Optimisation Algorithm for High-Dimensional Feature Selection
TSMS-HRO: A Two-Stage Multi-Strategy Hybrid Rice Optimisation Algorithm for High-Dimensional Feature Selection Open
High-dimensional feature selection remains a challenging and active topic in machine learning. Swarm intelligence and evolutionary computation have demonstrated promising results for high-dimensional feature selection, such as ant colony o…
View article: High-efficiency spatially guided learning network for lymphoblastic leukemia detection in bone marrow microscopy images
High-efficiency spatially guided learning network for lymphoblastic leukemia detection in bone marrow microscopy images Open
Leukemia is a hematologic tumor that proliferates in bone marrow and seriously affects the survival of patients. Early and accurate diagnosis is crucial for effective leukemia treatment. Traditional diagnostic methods rely on experts' subj…
View article: Semi-Supervised Nuclei Instance Segmentation with Category-Adaptive Sampling and Region-Adaptive Attention
Semi-Supervised Nuclei Instance Segmentation with Category-Adaptive Sampling and Region-Adaptive Attention Open
Cell nuclei instance segmentation plays a critical role in pathological image analysis. In recent years, fully supervised methods for cell nuclei instance segmentation have achieved significant results. However, in practical medical image …
View article: Neural substrates of attack event prediction in video games: the role of ventral posterior cingulate cortex and theory of mind network
Neural substrates of attack event prediction in video games: the role of ventral posterior cingulate cortex and theory of mind network Open
Action anticipation, the ability to observe actions and predict the intent of others, plays a crucial role in social interaction and fields such as electronic sports. However, the neural mechanisms underlying the inference of purpose from …
View article: ETQ-Matcher: Efficient Quadtree-Attention-Guided Transformer for Detector-Free Aerial–Ground Image Matching
ETQ-Matcher: Efficient Quadtree-Attention-Guided Transformer for Detector-Free Aerial–Ground Image Matching Open
UAV aerial–ground feature matching is used for remote sensing applications, such as urban mapping, disaster management, and surveillance. However, current semi-dense detectors are sparse and inadequate for comprehensively addressing proble…
View article: Dynamic niche technology based hybrid breeding optimization algorithm for multimodal feature selection
Dynamic niche technology based hybrid breeding optimization algorithm for multimodal feature selection Open
As a primary approach to address feature selection problems, evolutionary algorithms have been widely proposed to deal with the problem. Most of these methods are designed to find a single feature subset. However, the optimal feature subse…
View article: MDAPT: Multi-Modal Depth Adversarial Prompt Tuning to Enhance the Adversarial Robustness of Visual Language Models
MDAPT: Multi-Modal Depth Adversarial Prompt Tuning to Enhance the Adversarial Robustness of Visual Language Models Open
Large visual language models like Contrastive Language-Image Pre-training (CLIP), despite their excellent performance, are highly vulnerable to the influence of adversarial examples. This work investigates the accuracy and robustness of vi…
View article: Earthquake Magnitude Prediction Using Lstm Based on Strengthened Elitist Genetic Algorithm and Artificial Immune Network
Earthquake Magnitude Prediction Using Lstm Based on Strengthened Elitist Genetic Algorithm and Artificial Immune Network Open
View article: VPM-Net: Person Re-ID Network Based on Visual Prompt Technology and Multi-Instance Negative Pooling
VPM-Net: Person Re-ID Network Based on Visual Prompt Technology and Multi-Instance Negative Pooling Open
View article: MNTSCC: A VMamba-Based Nonlinear Joint Source-Channel Coding for Semantic Communications
MNTSCC: A VMamba-Based Nonlinear Joint Source-Channel Coding for Semantic Communications Open
View article: Mat-Net: Modality Aware Transformer Network for Multimodal Sentiment
Mat-Net: Modality Aware Transformer Network for Multimodal Sentiment Open
View article: Hybrid rice optimization algorithm inspired grey wolf optimizer for high-dimensional feature selection
Hybrid rice optimization algorithm inspired grey wolf optimizer for high-dimensional feature selection Open
Feature selection (FS) is a significant dimensionality reduction technique, which can effectively remove redundant features. Metaheuristic algorithms have been widely employed in FS, and have obtained satisfactory performance, among them, …
View article: A Global Image Orientation Method of the Self-Rotating Pan-Tilt-Zoom Camera for Photogrammetric Applications
A Global Image Orientation Method of the Self-Rotating Pan-Tilt-Zoom Camera for Photogrammetric Applications Open
Pan-tilt-zoom (PTZ) cameras are widely used in surveillance systems due to their wide field of view and high resolutions. However, the lack of accurate orientation information limits their full utilization in photogrammetry. Therefore, for…
View article: Underwater image enhancement based on optimally weighted histogram framework and improved Fick’s law algorithm
Underwater image enhancement based on optimally weighted histogram framework and improved Fick’s law algorithm Open
View article: Microbial Communities in and Around the Siboglinid Tubeworms from the South Yungan East Ridge Cold Seep Offshore Southwestern Taiwan at the Northern South China Sea
Microbial Communities in and Around the Siboglinid Tubeworms from the South Yungan East Ridge Cold Seep Offshore Southwestern Taiwan at the Northern South China Sea Open
To date, only a few microbial community studies of cold seeps at the South China Sea (SCS) have been reported. The cold seep dominated by tubeworms was discovered at South Yungan East Ridge (SYER) offshore southwestern Taiwan by miniROV. T…
View article: Cooperative metaheuristic algorithm for global optimization and engineering problems inspired by heterosis theory
Cooperative metaheuristic algorithm for global optimization and engineering problems inspired by heterosis theory Open
Swarm Intelligence-based metaheuristic algorithms are widely applied to global optimization and engineering design problems. However, these algorithms often suffer from two main drawbacks: susceptibility to the local optima in large search…
View article: Dynamic Spatio-Temporal Hypergraph Convolutional Network for Traffic Flow Forecasting
Dynamic Spatio-Temporal Hypergraph Convolutional Network for Traffic Flow Forecasting Open
Graph convolutional networks (GCN) are an important research method for intelligent transportation systems (ITS), but they also face the challenge of how to describe the complex spatio-temporal relationships between traffic objects (nodes)…
View article: Flexible low dielectric permittivity paper as a disposable substrate for centimeter wave patch antennas
Flexible low dielectric permittivity paper as a disposable substrate for centimeter wave patch antennas Open
View article: A novel intelligent fault diagnosis method for gearbox based on multi-dimensional attention denoising convolution
A novel intelligent fault diagnosis method for gearbox based on multi-dimensional attention denoising convolution Open
View article: Orbital angular momentum superimposed mode recognition based on multi-label image classification
Orbital angular momentum superimposed mode recognition based on multi-label image classification Open
Orbital angular momentum (OAM) multiplexing technology has great potential in high capacity optical communication. OAM superimposed mode can extend communication channels and thus enhance the capacity, and accurate recognition of multi-OAM…
View article: Dynamic Niches-Based Hybrid Breeding Optimization Algorithm for Solving Multi-Modal Optimization Problem
Dynamic Niches-Based Hybrid Breeding Optimization Algorithm for Solving Multi-Modal Optimization Problem Open
Some problems exist in classical optimization algorithms to solve multi-modal optimization problems and other complex systems. A Dynamic Niches-based Improved Hybrid Breeding Optimization (DNIHBO) algorithm is proposed to address the multi…
View article: Adversarial training collaborating hybrid convolution-transformer network for automatic identification of reactive lymphocytes in peripheral blood
Adversarial training collaborating hybrid convolution-transformer network for automatic identification of reactive lymphocytes in peripheral blood Open
Reactive lymphocytes may indicate diseases such as viral infections. Identifying these abnormal lymphocytes is crucial for disease diagnosis. Currently, reactive lymphocytes are mainly manually identified by pathological experts with micro…
View article: Hybrid rice optimization algorithm inspired grey wolf optimizer for high-dimensional feature selection
Hybrid rice optimization algorithm inspired grey wolf optimizer for high-dimensional feature selection Open
Feature selection (FS) is a significant dimensionality reduction technique, which can effectively remove redundant features. Metaheuristic algorithms have been widely employed in FS, and have obtained satisfactory performance, among them, …
View article: EC-YOLO: Improved YOLOv7 Model for PCB Electronic Component Detection
EC-YOLO: Improved YOLOv7 Model for PCB Electronic Component Detection Open
Electronic components are the main components of PCBs (printed circuit boards), so the detection and classification of ECs (electronic components) is an important aspect of recycling used PCBs. However, due to the variety and quantity of E…
View article: Fostering effective and sustainable scientific collaboration and knowledge exchange: a workshop-based approach to establish a national ecological observatory network (NEON) domain-specific user group
Fostering effective and sustainable scientific collaboration and knowledge exchange: a workshop-based approach to establish a national ecological observatory network (NEON) domain-specific user group Open
The decision to establish a network of researchers centers on identifying shared research goals. Ecologically specific regions, such as the USA’s National Ecological Observatory Network’s (NEON’s) eco-climatic domains, are ideal locations …
View article: Spectral-Spatial-Sensorial Attention Network with Controllable Factors for Hyperspectral Image Classification
Spectral-Spatial-Sensorial Attention Network with Controllable Factors for Hyperspectral Image Classification Open
Hyperspectral image (HSI) classification aims to recognize categories of objects based on spectral–spatial features and has been used in a wide range of real-world application areas. Attention mechanisms are widely used in HSI classificati…
View article: Multi-Label Feature Selection Based on Improved Ant Colony Optimization Algorithm with Dynamic Redundancy and Label Dependence
Multi-Label Feature Selection Based on Improved Ant Colony Optimization Algorithm with Dynamic Redundancy and Label Dependence Open
View article: A Streaming Data Clustering Method Based on Dual Strategies Improved DENCLUE
A Streaming Data Clustering Method Based on Dual Strategies Improved DENCLUE Open
Streaming data arrives continually and is characterized by fast, massive, dynamic evolution and instability. Different from traditional static data clustering, streaming data clustering algorithms need to consider concept drift, outlier ha…
View article: A Clone Selection Algorithm Optimized Support Vector Machine for AETA Geoacoustic Anomaly Detection
A Clone Selection Algorithm Optimized Support Vector Machine for AETA Geoacoustic Anomaly Detection Open
Anomaly in geoacoustic emission is an important earthquake precursor. Current geoacoustic anomaly detection methods are limited by their low signal-to-noise ratio, low intensity, sample imbalance, and low accuracy. Therefore, this paper pr…