Guanming Lu
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View article: Improved least squares parameter identification for the estimation of LOC
Improved least squares parameter identification for the estimation of LOC Open
View article: Mind Individual Information! Principal Graph Learning for Multimedia Recommendation
Mind Individual Information! Principal Graph Learning for Multimedia Recommendation Open
Graph Neural Network (GNN)-based methods have recently emerged as effective approaches for multimedia recommendation. Typically, these methods employ message passing on the user-item interaction graph, and model user preferences by exploit…
View article: BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation
BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation Open
Multimedia recommender systems focus on utilizing behavioral information and content information to model user preferences. Typically, it employs pre-trained feature encoders to extract content features, then fuses them with behavioral fea…
View article: Prognostic role of STMN1 expression and neoadjuvant therapy efficacy in breast cancer
Prognostic role of STMN1 expression and neoadjuvant therapy efficacy in breast cancer Open
STMN1 is the potential biomarker of NACT and prognosis for breast cancer.
View article: Research on Dynamic Fuzzy Neural Network Algorithm for LiFePO4 Battery Matching
Research on Dynamic Fuzzy Neural Network Algorithm for LiFePO4 Battery Matching Open
The feature vector based on dynamic characteristic matching method is the charging and discharging curve of the battery, and this method is used to classify the battery. The process of classifying batteries is a pattern recognition process…
View article: Efficiently Exploiting Muti-Level User Initial Intent for Session-Based Recommendation
Efficiently Exploiting Muti-Level User Initial Intent for Session-Based Recommendation Open
Session-based recommendation (SBR) aims to predict potential user interactions within an anonymous session. It utilizes learned user interests to recommend items. As research has progressed, researchers have shifted towards exploring user …
View article: Adaptive Spatiotemporal Graph Network with Cross-Stream Interaction for Micro-Gesture Recognition
Adaptive Spatiotemporal Graph Network with Cross-Stream Interaction for Micro-Gesture Recognition Open
View article: BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation
BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation Open
Multimedia recommender systems focus on utilizing behavioral information and content information to model user preferences. Typically, it employs pre-trained feature encoders to extract content features, then fuses them with behavioral fea…
View article: Improving Graph Collaborative Filtering with Directional Behavior Enhanced Contrastive Learning
Improving Graph Collaborative Filtering with Directional Behavior Enhanced Contrastive Learning Open
Graph Collaborative Filtering is a widely adopted approach for recommendation, which captures similar behavior features through Graph Neural Network (GNN). Recently, Contrastive Learning (CL) has been demonstrated as an effective method to…
View article: The Role of T Lymphocyte Subsets in Breast Cancer
The Role of T Lymphocyte Subsets in Breast Cancer Open
View article: Automatic Extraction of Geological Discontinuities of a Tunnel Surface by Integrating Multiple Features
Automatic Extraction of Geological Discontinuities of a Tunnel Surface by Integrating Multiple Features Open
View article: Unsupervised image blind super resolution via real degradation feature learning
Unsupervised image blind super resolution via real degradation feature learning Open
In recent years, many methods for image super‐resolution (SR) have relied on pairs of low‐resolution (LR) and high‐resolution (HR) images for training, where the degradation process is predefined by bicubic downsampling. While such approac…
View article: Multi-View Graph Convolutional Network for Multimedia Recommendation
Multi-View Graph Convolutional Network for Multimedia Recommendation Open
Multimedia recommendation has received much attention in recent years. It\nmodels user preferences based on both behavior information and item multimodal\ninformation. Though current GCN-based methods achieve notable success, they\nsuffer …
View article: Prior Information Based Decomposition and Reconstruction Learning for Micro-Expression Recognition
Prior Information Based Decomposition and Reconstruction Learning for Micro-Expression Recognition Open
Micro-expression recognition (MER) draws intensive research interest as micro-expressions (MEs) can infer genuine emotions. Prior information can guide the model to learn discriminative ME features effectively. However, most works focus on…
View article: LD4MRec: Simplifying and Powering Diffusion Model for Multimedia Recommendation
LD4MRec: Simplifying and Powering Diffusion Model for Multimedia Recommendation Open
Multimedia recommendation aims to predict users' future behaviors based on observed behaviors and item content information. However, the inherent noise contained in observed behaviors easily leads to suboptimal recommendation performance. …
View article: Prior Information based Decomposition and Reconstruction Learning for Micro-Expression Recognition
Prior Information based Decomposition and Reconstruction Learning for Micro-Expression Recognition Open
Micro-expression recognition (MER) draws intensive research interest as micro-expressions (MEs) can infer genuine emotions. Prior information can guide the model to learn discriminative ME features effectively. However, most works focus on…
View article: Bioinformatics combined with clinical data to analyze clinical characteristics and prognosis in patients with HER2 low expression breast cancer
Bioinformatics combined with clinical data to analyze clinical characteristics and prognosis in patients with HER2 low expression breast cancer Open
Compared with HER2 zero expression, HER2 low patients express more ER and PR, and have less short-term recurrence and metastasis, but there is no obvious difference in DFS between the two groups.
View article: Building element recognition with MTL-AINet considering view perspectives
Building element recognition with MTL-AINet considering view perspectives Open
The reconstruction and analysis of building models are crucial for the construction of smart cities. A refined building model can provide a reliable data support for data analysis and intelligent management of smart cities. The colors, tex…
View article: Building façade element extraction based on multidimensional virtual semantic feature map ensemble learning and hierarchical clustering
Building façade element extraction based on multidimensional virtual semantic feature map ensemble learning and hierarchical clustering Open
Building façade elements are an important foundation for smart cities. As buildings exhibit an array of textures and geometric forms, the process of image acquisition is easily affected, although the robustness of texture in scenes (e.g., …
View article: Geometric Graph Representation with Learnable Graph Structure and Adaptive AU Constraint for Micro-Expression Recognition
Geometric Graph Representation with Learnable Graph Structure and Adaptive AU Constraint for Micro-Expression Recognition Open
Micro-expression recognition (MER) is valuable because micro-expressions (MEs) can reveal genuine emotions. Most works take image sequences as input and cannot effectively explore ME information because subtle ME-related motions are easily…
View article: Skin Lesion Segmentation with Codec Structure Based Upper and Lower Layer Feature Fusion Mechanism
Skin Lesion Segmentation with Codec Structure Based Upper and Lower Layer Feature Fusion Mechanism Open
The U-Net architecture-based segmentation models attained remarkable performance in numerous medical image segmentation missions like skin lesion segmentation.Nevertheless, the resolution gradually decreases and the loss of spatial informa…
View article: A Multi-Scale Multi-Task Learning Model for Continuous Dimensional Emotion Recognition from Audio
A Multi-Scale Multi-Task Learning Model for Continuous Dimensional Emotion Recognition from Audio Open
Due to the advantages of many aspects of the dimensional emotion model, continuous dimensional emotion recognition from audio has attracted increasing attention in recent years. Features and dimensional emotion labels on different time sca…
View article: Patch size adaptive image inpainting
Patch size adaptive image inpainting Open
Texture synthesis technology has the advantages of repairing texture and structure at the same time.However, during the filling process, the size of the patch is fixed, and the content of the filling is not fully considered.In order to be …
View article: A comparative study on movement feature in different directions for micro-expression recognition
A comparative study on movement feature in different directions for micro-expression recognition Open
Micro-expression can reflect people's real emotions. Recognizing micro-expressions is difficult because they are small motions and have a short duration. As the research is deepening into micro-expression recognition, many effective featur…
View article: Deeply Recursive Low- and High-Frequency Fusing Networks for Single Image Super-Resolution
Deeply Recursive Low- and High-Frequency Fusing Networks for Single Image Super-Resolution Open
With the development of researches on single image super-resolution (SISR) based on convolutional neural networks (CNN), the quality of recovered images has been remarkably promoted. Since then, many deep learning-based models have been pr…
View article: Incomplete Cholesky Decomposition based Kernel Cross Modal Factor Analysis for Audiovisual Continuous Dimensional Emotion Recognition
Incomplete Cholesky Decomposition based Kernel Cross Modal Factor Analysis for Audiovisual Continuous Dimensional Emotion Recognition Open
Recently, continuous dimensional emotion recognition from audiovisual clues has attracted increasing attention in both theory and in practice.The large amount of data involved in the recognition processing decreases the efficiency of most …
View article: Exemplar-Based Image Inpainting With Multi-Resolution Information and the Graph Cut Technique
Exemplar-Based Image Inpainting With Multi-Resolution Information and the Graph Cut Technique Open
Filling holes in an image is achieved in a manner similar to peeling the onion. The order of filling affects the image inpainting results, especially concerning the content of complex images. When high-resolution images are used to extract…
View article: Facial Image Inpainting With Deep Generative Model and Patch Search Using Region Weight
Facial Image Inpainting With Deep Generative Model and Patch Search Using Region Weight Open
Facial image inpainting is a challenging task because the missing region needs to be filled by the new pixels with semantic information (e.g., noses and mouths). The traditional methods that involve searching for similar patches are mature…
View article: Research on iterative repair algorithm of Hyperchaotic image based on support vector machine
Research on iterative repair algorithm of Hyperchaotic image based on support vector machine Open
The damaged area of the hyperchaotic image is prone to lack of texture information. It needs to make image restoration design to improve the information expression ability of the image. In this paper, an iterative restoration algorithm of …
View article: Compact local Gabor directional number pattern for facial expression recognition
Compact local Gabor directional number pattern for facial expression recognition Open
This paper explores a novel method to represent face images for facial expression recognition; it is named compact local Gabor directional number pattern (CLGDNP). By convolving the face images with Gabor filters, we encode the magnitude a…