Wei Du

Orcid: 0000-0001-9872-4821

Affiliations:
  • Jilin University, College of Computer Science and Technology, Key Laboratory of Symbolic, Computation and Knowledge, Changchun, China
  • University of Georgia, Department of Biochemistry and Molecular Biology / Institute of Bioinformatics, Athens, GA, USA


According to our database1, Wei Du authored at least 36 papers between 2007 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
HG-search: multi-stage search for heterogeneous graph neural networks.
Appl. Intell., January, 2025

2024
Improving Generalization of Neural Vehicle Routing Problem Solvers Through the Lens of Model Architecture.
CoRR, 2024

Consistency label-activated region generating network for weakly supervised medical image segmentation.
Comput. Biol. Medicine, 2024

2023
SURE: Screening unlabeled samples for reliable negative samples based on reinforcement learning.
Inf. Sci., June, 2023

PecidRL: Petition expectation correction and identification based on deep reinforcement learning.
Inf. Process. Manag., May, 2023

2022
LPInsider: a webserver for lncRNA-protein interaction extraction from the literature.
BMC Bioinform., December, 2022

2021
CyanoPATH: a knowledgebase of genome-scale functional repertoire for toxic cyanobacterial blooms.
Briefings Bioinform., July, 2021

DeepHBSP: A Deep Learning Framework for Predicting Human Blood-Secretory Proteins Using Transfer Learning.
J. Comput. Sci. Technol., 2021

Capsule-LPI: a LncRNA-protein interaction predicting tool based on a capsule network.
BMC Bioinform., 2021

HBFP: a new repository for human body fluid proteome.
Database J. Biol. Databases Curation, 2021

Deep forest ensemble learning for classification of alignments of non-coding RNA sequences based on multi-view structure representations.
Briefings Bioinform., 2021

Combining GCN and Bi-LSTM for Protein Secondary Structure Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
DEEPSMP: A deep learning model for predicting the ectodomain shedding events of membrane proteins.
J. Bioinform. Comput. Biol., 2020

CapsNet-SSP: multilane capsule network for predicting human saliva-secretory proteins.
BMC Bioinform., 2020

DeepUEP: Prediction of Urine Excretory Proteins Using Deep Learning.
IEEE Access, 2020

2019
LncFinder: an integrated platform for long non-coding RNA identification utilizing sequence intrinsic composition, structural information and physicochemical property.
Briefings Bioinform., 2019

2017
The method for breast cancer grade prediction and pathway analysis based on improved multiple kernel learning.
J. Bioinform. Comput. Biol., 2017

A feature selection method based on multiple kernel learning with expression profiles of different types.
BioData Min., 2017

Pancreatic cancer biomarker detection using recursive feature elimination based on Support Vector Machine and large margin distribution machine.
Proceedings of the 4th International Conference on Systems and Informatics, 2017

2016
PUEPro: A Computational Pipeline for Prediction of Urine Excretory Proteins.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

2015
A novel filter feature selection method for paired microarray expression data analysis.
Int. J. Data Min. Bioinform., 2015

Specific Biomarkers: Detection of Cancer Biomarkers Through High-Throughput Transcriptomics Data.
Cogn. Comput., 2015

2014
Operon prediction by Markov clustering.
Int. J. Data Min. Bioinform., 2014

Computational Prediction of Human Saliva-Secreted Proteins.
Proceedings of the Bioinformatics Research and Applications - 10th International Symposium, 2014

2013
A novel multi-stage feature selection method for microarray expression data analysis.
Int. J. Data Min. Bioinform., 2013

PMTED: a plant microRNA target expression database.
BMC Bioinform., 2013

Effective and stable feature selection method based on filter for gene signature identification in paired microarray data.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2010
Two modeling methods for near infrared spectroscopy nondestructive quantitative analysis of the protein contents in Coredyceps militaris mycelia powder.
Proceedings of the Sixth International Conference on Natural Computation, 2010

2009
Methods for labeling error detection in microarrays based on the effect of data perturbation on the regression model.
Bioinform., 2009

Immune Particle Swarm Optimization for Support Vector Regression on Forest Fire Prediction.
Proceedings of the Advances in Neural Networks, 2009

Parameters optimization of support vector regression based on immune particle swarm optimization algorithm.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

2008
The Application of Support Vector Machine to Operon Prediction.
Proceedings of the International Conference on Bio-Science and Bio-Technology, 2008

A Novel SVC Method Based on K-means.
Proceedings of the International Conference on Bio-Science and Bio-Technology, 2008

2007
A multi-approaches-guided genetic algorithm with application to operon prediction.
Artif. Intell. Medicine, 2007

Operon Prediction Using Neural Network Based on Multiple Information of Log-Likelihoods.
Proceedings of the Advances in Neural Networks, 2007

A Multi-gene-Feature-Based Genetic Algorithm for Prediction of Operon.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007


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