Shan He

According to our database1, Shan He authored at least 35 papers between 2005 and 2018.

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



In proceedings 
PhD thesis 





RepLong: de novo repeat identification using long read sequencing data.
Bioinformatics, 2018

Nadir point estimation for many-objective optimization problems based on emphasized critical regions.
Soft Comput., 2017

Prior knowledge guided active modules identification: an integrated multi-objective approach.
BMC Systems Biology, 2017

Cooperative Co-Evolutionary Module Identification With Application to Cancer Disease Module Discovery.
IEEE Trans. Evolutionary Computation, 2016

A multi-objective memetic algorithm based on locality-sensitive hashing for one-to-many-to-one dynamic pickup-and-delivery problem.
Inf. Sci., 2016

Metabolomics biomarker discovery using multimodal memetic algorithm and multivariate mutual information based feature selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Three-dimensional Gabor feature extraction for hyperspectral imagery classification using a memetic framework.
Inf. Sci., 2015

Robust twin boosting for feature selection from high-dimensional omics data with label noise.
Inf. Sci., 2015

Global path planning of mobile robots using a memetic algorithm.
Int. J. Systems Science, 2015

Light-weight reference-based compression of FASTQ data.
BMC Bioinformatics, 2015

MUSCLE: automated multi-objective evolutionary optimization of targeted LC-MS/MS analysis.
Bioinformatics, 2015

High-throughput DNA sequence data compression.
Briefings in Bioinformatics, 2015

A Multimodal Optimization and Surprise Based Consensus Community Detection Algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

An Evolutionary Multiobjective Approach to Sparse Reconstruction.
IEEE Trans. Evolutionary Computation, 2014

Compression of next-generation sequencing quality scores using memetic algorithm.
BMC Bioinformatics, 2014

HAMMER: automated operation of mass frontier to construct in silico mass spectral fragmentation libraries.
Bioinformatics, 2014

Protein folding estimation using Paired-Bacteria Optimizer.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Towards energy-efficient parallel analysis of neural signals.
Cluster Computing, 2013

A coevolving memetic algorithm for simultaneous partitional clustering and feature weighting.
Proceedings of the 2013 IEEE Workshop on Memetic Computing, 2013

Minimal-redundancy-maximal-relevance feature selection using different relevance measures for omics data classification.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2013

MaConDa: a publicly accessible mass spectrometry contaminants database.
Bioinformatics, 2012

Memetic Three-Dimensional Gabor Feature Extraction for Hyperspectral Imagery Classification.
Proceedings of the Advances in Swarm Intelligence - Third International Conference, 2012

Community Detection Using Cooperative Co-evolutionary Differential Evolution.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Community Detection in Social and Biological Networks Using Differential Evolution.
Proceedings of the Learning and Intelligent Optimization - 6th International Conference, 2012

An Empirical Comparison of Several Recent Multi-objective Evolutionary Algorithms.
Proceedings of the Artificial Intelligence Applications and Innovations, 2012

Memetic clustering based on particle swarm optimizer and K-means.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Survival analysis of gene expression data using PSO based radial basis function networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

A crown jewel defense strategy based particle swarm optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

A memory binary particle swarm optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Group Search Optimizer: An Optimization Algorithm Inspired by Animal Searching Behavior.
IEEE Trans. Evolutionary Computation, 2009

Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning.
Proceedings of the Artificial Neural Networks, 2009

Application of a group search optimization based Artificial Neural Network to machine condition monitoring.
Proceedings of 13th IEEE International Conference on Emerging Technologies and Factory Automation, 2008

Profiling of High-Throughput Mass Spectrometry Data for Ovarian Cancer Detection.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

A Group Search Optimizer for Neural Network Training.
Proceedings of the Computational Science and Its Applications, 2006

A particle swarm optimiser with passive congregation approach to thermal modelling for power transformers.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005