Maozu Guo
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View article: Detection in Road Crack Images Based on Sparse Convolution
Detection in Road Crack Images Based on Sparse Convolution Open
Ensuring the structural integrity of road infrastructure is vital for transportation safety and long-term sustainability. This study presents a lightweight and accurate pavement crack detection framework named SpcNet, which integrates a Sp…
View article: Remaining useful life prediction of lithium batteries based on multiscale feature extraction and multiscale feature aggregation
Remaining useful life prediction of lithium batteries based on multiscale feature extraction and multiscale feature aggregation Open
View article: An improved mural image restoration method based on diffusion model
An improved mural image restoration method based on diffusion model Open
View article: Characteristics of carbon emission point sources and industry analysis in the Guangdong-Hong Kong-Macau Greater Bay Area
Characteristics of carbon emission point sources and industry analysis in the Guangdong-Hong Kong-Macau Greater Bay Area Open
View article: TRAPT: a multi-stage fused deep learning framework for predicting transcriptional regulators based on large-scale epigenomic data
TRAPT: a multi-stage fused deep learning framework for predicting transcriptional regulators based on large-scale epigenomic data Open
It is challenging to identify regulatory transcriptional regulators (TRs), which control gene expression via regulatory elements and epigenomic signals, in context-specific studies on the onset and progression of diseases. The use of large…
View article: sc2GWAS: a comprehensive platform linking single cell and GWAS traits of human
sc2GWAS: a comprehensive platform linking single cell and GWAS traits of human Open
Identifying cell populations associated with risk variants is essential for uncovering cell-specific mechanisms that drive disease development and progression. Integrating genome-wide association studies (GWAS) with single-cell RNA sequenc…
View article: Equivariant score-based generative diffusion framework for 3D molecules
Equivariant score-based generative diffusion framework for 3D molecules Open
View article: TRAPT: A multi-stage fused deep learning framework for transcriptional regulators prediction via integrating large-scale epigenomic data
TRAPT: A multi-stage fused deep learning framework for transcriptional regulators prediction via integrating large-scale epigenomic data Open
It is a challenging task to identify functional transcriptional regulators, which control expression of gene sets via regulatory elements and epigenomic signals, involving context-specific studies such as development and diseases. Integrat…
View article: GEFormerDTA: drug target affinity prediction based on transformer graph for early fusion
GEFormerDTA: drug target affinity prediction based on transformer graph for early fusion Open
Predicting the interaction affinity between drugs and target proteins is crucial for rapid and accurate drug discovery and repositioning. Therefore, more accurate prediction of DTA has become a key area of research in the field of drug dis…
View article: GWASTool: A web pipeline for detecting SNP-phenotype associations
GWASTool: A web pipeline for detecting SNP-phenotype associations Open
View article: A Recommendation Approach Based on Heterogeneous Network and Dynamic Knowledge Graph
A Recommendation Approach Based on Heterogeneous Network and Dynamic Knowledge Graph Open
Besides data sparsity and cold start, recommender systems often face the problems of selection bias and exposure bias. These problems influence the accuracy of recommendations and easily lead to overrecommendations. This paper proposes a r…
View article: Graph Convolutional Networks Embedding Textual Structure Information for Relation Extraction
Graph Convolutional Networks Embedding Textual Structure Information for Relation Extraction Open
View article: Joint Biomedical Entity and Relation Extraction Based on Multi-Granularity Convolutional Tokens Pairs of Labeling
Joint Biomedical Entity and Relation Extraction Based on Multi-Granularity Convolutional Tokens Pairs of Labeling Open
View article: A Multi-Feature and Dual-Attribute Interaction Aggregation Model for Predicting Drug-Target Interactions
A Multi-Feature and Dual-Attribute Interaction Aggregation Model for Predicting Drug-Target Interactions Open
Discovering potential drug-target interactions is crucial for advancing pharmacology. In recent years, the development of large-scale DTI datasets has propelled advancements in DTI prediction computational methods. Various deep learning ap…
View article: Bayesian Neural Network-Based Equipment Operational Trend Prediction Method Using Channel Attention Mechanism
Bayesian Neural Network-Based Equipment Operational Trend Prediction Method Using Channel Attention Mechanism Open
This paper proposes a Bayesian neural network method for predicting equipment operational trends based on a channel attention mechanism. Traditional time series prediction methods have limitations in handling complex data and nonlinear rel…
View article: HetFCM: functional co-module discovery by heterogeneous network co-clustering
HetFCM: functional co-module discovery by heterogeneous network co-clustering Open
Functional molecular module (i.e., gene–miRNA co-modules and gene–miRNA–lncRNA triple-layer modules) analysis can dissect complex regulations underlying etiology or phenotypes. However, current module detection methods lack an appropriate …
View article: KnockTF 2.0: a comprehensive gene expression profile database with knockdown/knockout of transcription (co-)factors in multiple species
KnockTF 2.0: a comprehensive gene expression profile database with knockdown/knockout of transcription (co-)factors in multiple species Open
Transcription factors (TFs), transcription co-factors (TcoFs) and their target genes perform essential functions in diseases and biological processes. KnockTF 2.0 (http://www.licpathway.net/KnockTF/index.html) aims to provide comprehensive…
View article: Sentence Bag Graph Formulation for Biomedical Distant Supervision Relation Extraction
Sentence Bag Graph Formulation for Biomedical Distant Supervision Relation Extraction Open
We introduce a novel graph-based framework for alleviating key challenges in distantly-supervised relation extraction and demonstrate its effectiveness in the challenging and important domain of biomedical data. Specifically, we propose a …
View article: A Biomedical Relation Extraction Method Based on Graph Convolutional Network with Dependency Information Fusion
A Biomedical Relation Extraction Method Based on Graph Convolutional Network with Dependency Information Fusion Open
Biomedical texts are relatively obscure in describing relations between specialized entities, and the automatic extraction of drug–drug or drug–disease relations from massive biomedical texts presents a challenge faced by many researchers.…
View article: Reinforcement Causal Structure Learning on Order Graph
Reinforcement Causal Structure Learning on Order Graph Open
Learning directed acyclic graph (DAG) that describes the causality of observed data is a very challenging but important task. Due to the limited quantity and quality of observed data, and non-identifiability of causal graph, it is almost i…
View article: A Deep Learning Model with Signal Decomposition and Informer Network for Equipment Vibration Trend Prediction
A Deep Learning Model with Signal Decomposition and Informer Network for Equipment Vibration Trend Prediction Open
Accurate equipment operation trend prediction plays an important role in ensuring the safe operation of equipment and reducing maintenance costs. Therefore, monitoring the equipment vibration and predicting the time series of the vibration…
View article: A gene regulatory network inference model based on pseudo-siamese network
A gene regulatory network inference model based on pseudo-siamese network Open
Motivation Gene regulatory networks (GRNs) arise from the intricate interactions between transcription factors (TFs) and their target genes during the growth and development of organisms. The inference of GRNs can unveil the underlying gen…
View article: Joint Biomedical Entity and Relation Extraction Based on Feature Filter Table Labeling
Joint Biomedical Entity and Relation Extraction Based on Feature Filter Table Labeling Open
Joint biomedical entity and relation extraction is essential in biomedical text mining. It automatically identifies entities and uncovers the relation between them from biomedical texts. However, due to the relatively complex semantics of …
View article: Reinforcement Causal Structure Learning on Order Graph
Reinforcement Causal Structure Learning on Order Graph Open
Learning directed acyclic graph (DAG) that describes the causality of observed data is a very challenging but important task. Due to the limited quantity and quality of observed data, and non-identifiability of causal graph, it is almost i…
View article: A Cross‐Domain Ontology Semantic Representation Based on NCBI‐BlueBERT Embedding
A Cross‐Domain Ontology Semantic Representation Based on NCBI‐BlueBERT Embedding Open
A common but critical task in biological ontologies data analysis is to compare the difference between ontologies. There have been numerous ontology-based semantic-similarity measures proposed in specific ontology domain, but it still rema…
View article: Pan-Cancer Methylated Dysregulation of Long Non-coding RNAs Reveals Epigenetic Biomarkers
Pan-Cancer Methylated Dysregulation of Long Non-coding RNAs Reveals Epigenetic Biomarkers Open
Different cancer types not only have common characteristics but also have their own characteristics respectively. The mechanism of these specific and common characteristics is still unclear. Pan-cancer analysis can help understand the simi…
View article: i6mA-Vote: Cross-Species Identification of DNA N6-Methyladenine Sites in Plant Genomes Based on Ensemble Learning With Voting
i6mA-Vote: Cross-Species Identification of DNA N6-Methyladenine Sites in Plant Genomes Based on Ensemble Learning With Voting Open
DNA N6-Methyladenine (6mA) is a common epigenetic modification, which plays some significant roles in the growth and development of plants. It is crucial to identify 6mA sites for elucidating the functions of 6mA. In this article, a novel …
View article: MetaMIML: Meta Multi-Instance Multi-Label Learning
MetaMIML: Meta Multi-Instance Multi-Label Learning Open
Multi-Instance Multi-Label learning (MIML) models complex objects (bags), each of which is associated with a set of interrelated labels and composed with a set of instances. Current MIML solutions still focus on a single-type of objects an…
View article: Ensemble learning-based hierarchical retrieval of similar cases for site planning
Ensemble learning-based hierarchical retrieval of similar cases for site planning Open
Site planning not only involves the arrangement of a large number of elements but also considers the complexity of urban systems; hence, the design process involves large workloads and is time consuming. Retrieving similar existing cases h…
View article: Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs Open
Label noise and long-tailed distributions are two major challenges in distantly supervised relation extraction. Recent studies have shown great progress on denoising, but paid little attention to the problem of long-tailed relations. In th…