Yanjie Wei

Orcid: 0000-0002-4791-7540

According to our database1, Yanjie Wei authored at least 67 papers between 2007 and 2024.

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Bibliography

2024
Fully Flexible Molecular Alignment Enables Accurate Ligand Structure Modeling.
J. Chem. Inf. Model., 2024

Dual-View Pyramid Pooling in Deep Neural Networks for Improved Medical Image Classification and Confidence Calibration.
CoRR, 2024

A new paradigm for applying deep learning to protein-ligand interaction prediction.
Briefings Bioinform., 2024

PmmNDD: Predicting the Pathogenicity of Missense Mutations in Neurodegenerative Diseases via Ensemble Learning.
Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024

An In-Depth Assessment of Sequence Clustering Software in Bioinformatics.
Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024

CCVAN: A Conditional Molecular Generation Model based on conditional VAE and Wasserstein GAN.
Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

Missense Mutation Effect Prediction using Categorical Boosting Optimized with Sparrow Search Algorithm.
Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

Deep Learning for Autism Spectrum Disorder Identification Based on Children's Facial Images: A Multi-Feature Fusion Perspective.
Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

Meta-data Study in Autism Spectrum Disorder Classification Based on Structural MRI.
Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

The Algorithms of Predicting DNA Binding Site with Combined Feature Encoding and Optimum Decision.
Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

2023
SWsnn: A Novel Simulator for Spiking Neural Networks.
J. Comput. Biol., September, 2023

JCcirc: circRNA full-length sequence assembly through integrated junction contigs.
Briefings Bioinform., September, 2023

Application of variational graph encoders as an effective generalist algorithm in computer-aided drug design.
Nat. Mac. Intell., July, 2023

Deep Learning-Based Bioactive Therapeutic Peptide Generation and Screening.
J. Chem. Inf. Model., February, 2023

A fully differentiable ligand pose optimization framework guided by deep learning and a traditional scoring function.
Briefings Bioinform., January, 2023

RabbitFX: Efficient Framework for FASTA/Q File Parsing on Modern Multi-Core Platforms.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Guest Editors' Introduction to the Special Section on Bioinformatics Research and Applications.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Autism Spectrum Disorder Classification in Children based on Structural MRI Features Extracted using Contrastive Variational Autoencoder.
CoRR, 2023

Identification and Functional Annotation of circRNAs in Neuroblastoma Based on Bioinformatics.
Proceedings of the Bioinformatics Research and Applications - 19th International Symposium, 2023

PCPI: Prediction of circRNA and Protein Interaction Using Machine Learning Method.
Proceedings of the Bioinformatics Research and Applications - 19th International Symposium, 2023

Complex Time Series Analysis Based on Conditional Random Fields.
Proceedings of the Data Science, 2023

A Novel Deep Learning Approach Featuring Graph-Based Algorithm for Cell Segmentation and Tracking.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Automatic Generation of High-Performance Convolution Kernels on ARM CPUs for Deep Learning.
IEEE Trans. Parallel Distributed Syst., 2022

COVID19db: a comprehensive database platform to discover potential drugs and targets of COVID-19 at whole transcriptomic scale.
Nucleic Acids Res., 2022

circMine: a comprehensive database to integrate, analyze and visualize human disease-related circRNA transcriptome.
Nucleic Acids Res., 2022

nGIA: A novel Greedy Incremental Alignment based algorithm for gene sequence clustering.
Future Gener. Comput. Syst., 2022

Meta-data Study in Autism Spectrum Disorder Classification Based on Structural MRI.
CoRR, 2022

Identification of Autism spectrum disorder based on a novel feature selection method and Variational Autoencoder.
Comput. Biol. Medicine, 2022

RabbitV: fast detection of viruses and microorganisms in sequencing data on multi-core architectures.
Bioinform., 2022

Improving protein-ligand docking and screening accuracies by incorporating a scoring function correction term.
Briefings Bioinform., 2022

Generating and screening <i>de novo</i> compounds against given targets using ultrafast deep learning models as core components.
Briefings Bioinform., 2022

Simulating Spiking Neural Networks Based on SW26010pro.
Proceedings of the Bioinformatics Research and Applications - 18th International Symposium, 2022

RabbitQCPlus: More Efficient Quality Control for Sequencing Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Evaluation of residue-residue contact prediction methods: From retrospective to prospective.
PLoS Comput. Biol., 2021

RabbitQC: high-speed scalable quality control for sequencing data.
Bioinform., 2021

RabbitMash: accelerating hash-based genome analysis on modern multi-core architectures.
Bioinform., 2021

An Efficient Greedy Incremental Sequence Clustering Algorithm.
Proceedings of the Bioinformatics Research and Applications - 17th International Symposium, 2021

The Classification System and Biomarkers for Autism Spectrum Disorder: A Machine Learning Approach.
Proceedings of the Bioinformatics Research and Applications - 17th International Symposium, 2021

A novel virtual drug screening pipeline with deep-leaning as core component identifies inhibitor of pancreatic alpha-amylase.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
An Infrared Defect Sizing Method Based on Enhanced Phase Images.
Sensors, 2020

A novel virtual screening procedure identifies Pralatrexate as inhibitor of SARS-CoV-2 RdRp and it reduces viral replication in vitro.
PLoS Comput. Biol., 2020

Protein Interresidue Contact Prediction Based on Deep Learning and Massive Features from Multi-sequence Alignment.
Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2020

2019
A novel machine learning based approach for iPS progenitor cell identification.
PLoS Comput. Biol., 2019

Autoregressive-Model-Based Methods for Online Time Series Prediction with Missing Values: an Experimental Evaluation.
CoRR, 2019

Efficient Gene Assembly and Identification for Many Genome Samples.
Proceedings of the Cognitive Computing - ICCC 2019, 2019

An Auto Code Generator for Stencil on SW26010.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

Efficient Parallel Sort on AVX-512-Based Multi-Core and Many-Core Architectures.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

2018
Lock Contention Management in Multithreaded MPI.
ACM Trans. Parallel Comput., 2018

SPECTR: Scalable Parallel Short Read Error Correction on Multi-core and Many-core Architectures.
Proceedings of the 47th International Conference on Parallel Processing, 2018

Ensemble Learning Based Gender Recognition from Physiological Signals.
Proceedings of the Big Data - BigData 2018, 2018

K-mer Counting for Genomic Big Data.
Proceedings of the Big Data - BigData 2018, 2018

2017
Bloomfish: A Highly Scalable Distributed K-mer Counting Framework.
Proceedings of the 23rd IEEE International Conference on Parallel and Distributed Systems, 2017

Scalable Assembly for Massive Genomic Graphs.
Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

Any-Time Methods for Time-Series Prediction with Missing Observations.
Proceedings of the 2017 IEEE International Congress on Big Data, 2017

2016
A hybrid method for splice site prediction based on Markov model and codon information.
Int. J. Data Min. Bioinform., 2016

SWAP-Assembler 2: Optimization of De Novo Genome Assembler at Extreme Scale.
Proceedings of the 45th International Conference on Parallel Processing, 2016

2015
Personalized clinical data screening: Special issue on health informatics.
Comput. Biol. Medicine, 2015

MPI+Threads: runtime contention and remedies.
Proceedings of the 20th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2015

SWAP-Assembler 2: Scalable Genome Assembler towards Millions of Cores - Practice and Experience.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

2014
SWAP-Assembler: scalable and efficient genome assembly towards thousands of cores.
BMC Bioinform., 2014

Modeling and analysis of gene regulatory networks with a Bayesian-driven approach.
Proceedings of the 14th International Symposium on Communications and Information Technologies, 2014

2013
An Energy Efficient Clustering Scheme for Data Aggregation in Wireless Sensor Networks.
J. Comput. Sci. Technol., 2013

2012
A novel hierarchical clustering algorithm for gene sequences.
BMC Bioinform., 2012

Small World Asynchronous Parallel Model for Genome Assembly.
Proceedings of the Network and Parallel Computing, 9th IFIP International Conference, 2012

DGraph: Algorithms for Shortgun Reads Assembly Using De Bruijn Graph.
Proceedings of the Network and Parallel Computing, 9th IFIP International Conference, 2012

A New Classification Method for Human Gene Splice Site Prediction.
Proceedings of the Health Information Science - First International Conference, 2012

2007
Systematic study of the boundary composition in Poisson Boltzmann calculations.
J. Comput. Chem., 2007


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