Shan He

Orcid: 0000-0003-1694-1465

Affiliations:
  • The University of Birmingham, UK


According to our database1, Shan He authored at least 61 papers between 2005 and 2023.

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

Timeline

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Online presence:

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Bibliography

2023
Multi-Domain Active Learning: Literature Review and Comparative Study.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2023

Improving therapeutic synergy score predictions with adverse effects using multi-task heterogeneous network learning.
Briefings Bioinform., January, 2023

Network Biomarker Detection From Gene Co-Expression Network Using Gaussian Mixture Model Clustering.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Multi-Domain Learning from Insufficient Annotations.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Perturbation-Based Two-Stage Multi-Domain Active Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
MPVNN: Mutated Pathway Visible Neural Network architecture for interpretable prediction of cancer-specific survival risk.
Bioinform., November, 2022

GloDyNE: Global Topology Preserving Dynamic Network Embedding.
IEEE Trans. Knowl. Data Eng., 2022

Data-Driven Boolean Network Inference Using a Genetic Algorithm With Marker-Based Encoding.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

CURC: a CUDA-based reference-free read compressor.
Bioinform., 2022

GloDyNE: Global Topology Preserving Dynamic Network Embedding (Extended Abstract).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021
Active Module Identification From Multilayer Weighted Gene Co-Expression Networks: A Continuous Optimization Approach.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

GAPORE: Boolean network inference using a genetic algorithm with novel polynomial representation and encoding scheme.
Knowl. Based Syst., 2021

Multi-Domain Active Learning: A Comparative Study.
CoRR, 2021

Robust Dynamic Network Embedding via Ensembles.
CoRR, 2021

DTI-HeNE: a novel method for drug-target interaction prediction based on heterogeneous network embedding.
BMC Bioinform., 2021

PoLoBag: Polynomial Lasso Bagging for signed gene regulatory network inference from expression data.
Bioinform., 2021

A Network Embedding Based Approach to Drug-Target Interaction Prediction Using Additional Implicit Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
MUMI: Multitask Module Identification for Biological Networks.
IEEE Trans. Evol. Comput., 2020

RoSANE: Robust and scalable attributed network embedding for sparse networks.
Neurocomputing, 2020

ATEN: And/Or tree ensemble for inferring accurate Boolean network topology and dynamics.
Bioinform., 2020

HEAT: Hyperbolic Embedding of Attributed Networks.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

2019
DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding.
CoRR, 2019

Ensemble multi-objective evolutionary algorithm for gene regulatory network reconstruction based on fuzzy cognitive maps.
CAAI Trans. Intell. Technol., 2019

2018
Attributed Network Embedding for Incomplete Structure Information.
CoRR, 2018

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

2017
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 Syst. Biol., 2017

Active module identification in intracellular networks using a memetic algorithm with a new binary decoding scheme.
BMC Genom., 2017

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

2015
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. Syst. Sci., 2015

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

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

High-throughput DNA sequence data compression.
Briefings Bioinform., 2015

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

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

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

HAMMER: automated operation of mass frontier to construct <i>in silico</i> mass spectral fragmentation libraries.
Bioinform., 2014

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

2013
Towards energy-efficient parallel analysis of neural signals.
Clust. Comput., 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

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

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

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

2008
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

Mixing bounded Laplace and Gaussian fingerprints.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

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

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

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


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