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ORCIDShan He 0001
Person information
- affiliation: The University of Birmingham, UK
Other persons with the same name
- Shan He — disambiguation page
- Shan He 0002 — Thomson Corporate Research
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2020 – today
- 2024
[j37]Xiang Liu
, Yan Wang, Shan Liu, Zhicheng Ji, Shan He:
MIFuGP: Boolean network inference from multivariate time series using fuzzy genetic programming. Inf. Sci. 680: 121129 (2024)- [j36]Sadettin Y. Ugurlu, David W. McDonald, Huangshu Lei, Alan M. Jones, Shu Li, Henry H. Y. Tong, Mark S. Butler, Shan He:
Cobdock: an accurate and practical machine learning-based consensus blind docking method. J. Cheminformatics 16(1): 5 (2024) - [j35]Sadettin Y. Ugurlu, David W. McDonald, Shan He:
MEF-AlloSite: an accurate and robust Multimodel Ensemble Feature selection for the Allosteric Site identification model. J. Cheminformatics 16(1): 116 (2024) - 2023
- [j34]Yang Yue, Yongxuan Liu, Luoying Hao, Huangshu Lei, Shan He:
Improving therapeutic synergy score predictions with adverse effects using multi-task heterogeneous network learning. Briefings Bioinform. 24(1) (2023) - [j33]Han Zhang, Zexuan Zhu, Hui Li, Shan He:
Network Biomarker Detection From Gene Co-Expression Network Using Gaussian Mixture Model Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3523-3534 (2023) - [j32]Rui He, Shengcai Liu, Shan He, Ke Tang:
Multi-Domain Active Learning: Literature Review and Comparative Study. IEEE Trans. Emerg. Top. Comput. Intell. 7(3): 791-804 (2023) - [c24]Rui He, Zeyu Dai, Shan He, Ke Tang:
Perturbation-Based Two-Stage Multi-Domain Active Learning. CIKM 2023: 3933-3937 - [c23]Rui He, Shengcai Liu, Jiahao Wu, Shan He, Ke Tang:
Multi-Domain Learning from Insufficient Annotations. ECAI 2023: 1028-1035 - [i9]Rui He, Shengcai Liu, Jiahao Wu, Shan He, Ke Tang:
Multi-Domain Learning From Insufficient Annotations. CoRR abs/2305.02757 (2023) - [i8]Rui He, Zeyu Dai, Shan He, Ke Tang:
Perturbation-Based Two-Stage Multi-Domain Active Learning. CoRR abs/2306.10700 (2023) - 2022
- [j31]Shaohui Xie, Xiaotian He, Shan He, Zexuan Zhu:
CURC: a CUDA-based reference-free read compressor. Bioinform. 38(12): 3294-3296 (2022) - [j30]Gourab Ghosh Roy, Nicholas Geard, Karin Verspoor, Shan He:
MPVNN: Mutated Pathway Visible Neural Network architecture for interpretable prediction of cancer-specific survival risk. Bioinform. 38(22): 5026-5032 (2022) - [j29]Xiang Liu, Ning Shi, Yan Wang, Zhicheng Ji, Shan He:
Data-Driven Boolean Network Inference Using a Genetic Algorithm With Marker-Based Encoding. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1558-1569 (2022) - [j28]Chengbin Hou, Han Zhang, Shan He, Ke Tang:
GloDyNE: Global Topology Preserving Dynamic Network Embedding. IEEE Trans. Knowl. Data Eng. 34(10): 4826-4837 (2022) - [c22]Chengbin Hou, Han Zhang, Shan He, Ke Tang:
GloDyNE: Global Topology Preserving Dynamic Network Embedding (Extended Abstract). ICDE 2022: 1545-1546 - [i7]Gourab Ghosh Roy, Nicholas Geard, Karin Verspoor, Shan He:
MPVNN: Mutated Pathway Visible Neural Network Architecture for Interpretable Prediction of Cancer-specific Survival Risk. CoRR abs/2202.00882 (2022) - 2021
- [j27]Gourab Ghosh Roy, Nicholas Geard, Karin Verspoor, Shan He:
PoLoBag: Polynomial Lasso Bagging for signed gene regulatory network inference from expression data. Bioinform. 36(21): 5187-5193 (2021) - [j26]Yang Yue, Shan He:
DTI-HeNE: a novel method for drug-target interaction prediction based on heterogeneous network embedding. BMC Bioinform. 22(1): 418 (2021) - [j25]Xiang Liu, Yan Wang, Ning Shi, Zhicheng Ji, Shan He:
GAPORE: Boolean network inference using a genetic algorithm with novel polynomial representation and encoding scheme. Knowl. Based Syst. 228: 107277 (2021) - [j24]Dong Li, Zhisong Pan, Guyu Hu, Graham Anderson, Shan He:
Active Module Identification From Multilayer Weighted Gene Co-Expression Networks: A Continuous Optimization Approach. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2239-2248 (2021) - [c21]Han Zhang, Chengbin Hou, David W. McDonald, Shan He:
A Network Embedding Based Approach to Drug-Target Interaction Prediction Using Additional Implicit Networks. ICANN (1) 2021: 491-503 - [i6]Chengbin Hou, Guoji Fu, Peng Yang, Shan He, Ke Tang:
Robust Dynamic Network Embedding via Ensembles. CoRR abs/2105.14557 (2021) - [i5]Rui He, Shan He, Ke Tang:
Multi-Domain Active Learning: A Comparative Study. CoRR abs/2106.13516 (2021) - 2020
- [j23]Ning Shi, Zexuan Zhu, Ke Tang, David Parker, Shan He:
ATEN: And/Or tree ensemble for inferring accurate Boolean network topology and dynamics. Bioinform. 36(2): 578-585 (2020) - [j22]Chengbin Hou, Shan He, Ke Tang:
RoSANE: Robust and scalable attributed network embedding for sparse networks. Neurocomputing 409: 231-243 (2020) - [j21]Weiqi Chen, Zexuan Zhu, Shan He:
MUMI: Multitask Module Identification for Biological Networks. IEEE Trans. Evol. Comput. 24(4): 765-776 (2020) - [c20]David W. McDonald, Shan He:
HEAT: Hyperbolic Embedding of Attributed Networks. IDEAL (1) 2020: 28-40 - [i4]Chengbin Hou, Han Zhang, Shan He, Ke Tang:
GloDyNE: Global Topology Preserving Dynamic Network Embedding. CoRR abs/2008.01935 (2020)
2010 – 2019
- 2019
- [j20]Jing Liu, Yaxiong Chi, Zongdong Liu, Shan He:
Ensemble multi-objective evolutionary algorithm for gene regulatory network reconstruction based on fuzzy cognitive maps. CAAI Trans. Intell. Technol. 4(1): 24-36 (2019) - [i3]David W. McDonald, Shan He:
HEAT: Hyperbolic Embedding of Attributed Networks. CoRR abs/1903.03036 (2019) - [i2]Chengbin Hou, Han Zhang, Ke Tang, Shan He:
DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding. CoRR abs/1907.11968 (2019) - 2018
- [j19]Rui Guo, Yan-Ran Li, Shan He, Le Ou-Yang, Yiwen Sun, Zexuan Zhu:
RepLong: de novo repeat identification using long read sequencing data. Bioinform. 34(7): 1099-1107 (2018) - [i1]Chengbin Hou, Shan He, Ke Tang:
Attributed Network Embedding for Incomplete Structure Information. CoRR abs/1811.11728 (2018) - 2017
- [j18]Dong Li, Zhisong Pan, Guyu Hu, Zexuan Zhu, Shan He:
Active module identification in intracellular networks using a memetic algorithm with a new binary decoding scheme. BMC Genom. 18(S2) (2017) - [j17]Weiqi Chen, Jing Liu, Shan He:
Prior knowledge guided active modules identification: an integrated multi-objective approach. BMC Syst. Biol. 11(S-2): 8:1-8:12 (2017) - [j16]Handing Wang, Shan He, Xin Yao:
Nadir point estimation for many-objective optimization problems based on emphasized critical regions. Soft Comput. 21(9): 2283-2295 (2017) - 2016
- [j15]Zexuan Zhu, Jun Xiao, Shan He, Zhen Ji, Yiwen Sun:
A multi-objective memetic algorithm based on locality-sensitive hashing for one-to-many-to-one dynamic pickup-and-delivery problem. Inf. Sci. 329: 73-89 (2016) - [j14]Shan He, Guanbo Jia, Zexuan Zhu, Dan A. Tennant, Qiang Huang, Ke Tang, Jing Liu, Mirco Musolesi, John K. Heath, Xin Yao:
Cooperative Co-Evolutionary Module Identification With Application to Cancer Disease Module Discovery. IEEE Trans. Evol. Comput. 20(6): 874-891 (2016) - [c19]Jiarui Zhou, Zhen Ji, Zexuan Zhu, Shan He:
Metabolomics biomarker discovery using multimodal memetic algorithm and multivariate mutual information based feature selection. CEC 2016: 3193-3199 - 2015
- [j13]Zexuan Zhu, Yongpeng Zhang, Zhen Ji, Shan He, Xiao Yang:
High-throughput DNA sequence data compression. Briefings Bioinform. 16(1): 1-15 (2015) - [j12]James Bradbury, Grégory Genta-Jouve, James William Allwood, Warwick B. Dunn, Royston Goodacre, Joshua D. Knowles, Shan He, Mark R. Viant:
MUSCLE: automated multi-objective evolutionary optimization of targeted LC-MS/MS analysis. Bioinform. 31(6): 975-977 (2015) - [j11]Yongpeng Zhang, Linsen Li, Yanli Yang, Xiao Yang, Shan He, Zexuan Zhu:
Light-weight reference-based compression of FASTQ data. BMC Bioinform. 16: 188:1-188:8 (2015) - [j10]Handing Wang, Licheng Jiao, Ronghua Shang, Shan He, Fang Liu:
A Memetic Optimization Strategy Based on Dimension Reduction in Decision Space. Evol. Comput. 23(1): 69-100 (2015) - [j9]Zexuan Zhu, Fangxiao Wang, Shan He, Yiwen Sun:
Global path planning of mobile robots using a memetic algorithm. Int. J. Syst. Sci. 46(11): 1982-1993 (2015) - [j8]Shan He, Huanhuan Chen, Zexuan Zhu, Douglas G. Ward, Helen J. Cooper, Mark R. Viant, John K. Heath, Xin Yao:
Robust twin boosting for feature selection from high-dimensional omics data with label noise. Inf. Sci. 291: 1-18 (2015) - [j7]Zexuan Zhu, Sen Jia, Shan He, Yiwen Sun, Zhen Ji, LinLin Shen:
Three-dimensional Gabor feature extraction for hyperspectral imagery classification using a memetic framework. Inf. Sci. 298: 274-287 (2015) - [c18]Guanbo Jia, Shan He, Zexuan Zhu, Jing Liu, Ke Tang:
A Multimodal Optimization and Surprise Based Consensus Community Detection Algorithm. GECCO (Companion) 2015: 1407-1408 - 2014
- [j6]Jiarui Zhou, Ralf J. M. Weber, James William Allwood, Robert Mistrik, Zexuan Zhu, Zhen Ji, Siping Chen, Warwick B. Dunn, Shan He, Mark R. Viant:
HAMMER: automated operation of mass frontier to construct in silico mass spectral fragmentation libraries. Bioinform. 30(4): 581-583 (2014) - [j5]Jiarui Zhou, Zhen Ji, Zexuan Zhu, Shan He:
Compression of next-generation sequencing quality scores using memetic algorithm. BMC Bioinform. 15(S-15): S10 (2014) - [j4]Lin Li, Xin Yao, Rustam Stolkin, Maoguo Gong, Shan He:
An Evolutionary Multiobjective Approach to Sparse Reconstruction. IEEE Trans. Evol. Comput. 18(6): 827-845 (2014) - [c17]Mengshi Li, Tianyao Ji, Peter Wu, Shan He, Qing-Hua Wu:
Protein folding estimation using Paired-Bacteria Optimizer. IEEE Congress on Evolutionary Computation 2014: 2027-2032 - 2013
- [j3]Dan Chen, Dongchuan Lu, Mingwei Tian, Shan He, Shuaiting Wang, Jian Tian, Chang Cai, Xiaoli Li:
Towards energy-efficient parallel analysis of neural signals. Clust. Comput. 16(1): 39-53 (2013) - [c16]Junshan Yang, Zexuan Zhu, Shan He, Zhen Ji:
Minimal-redundancy-maximal-relevance feature selection using different relevance measures for omics data classification. CIBCB 2013: 246-251 - [c15]Yiwen Sun, Zexuan Zhu, Shan He, Zhen Ji:
A coevolving memetic algorithm for simultaneous partitional clustering and feature weighting. Memetic Computing 2013: 9-15 - 2012
- [j2]Ralf J. M. Weber, Eva Li, Jonathan Bruty, Shan He, Mark R. Viant:
MaConDa: a publicly accessible mass spectrometry contaminants database. Bioinform. 28(21): 2856-2857 (2012) - [c14]Zhen Ji, Tao Tian, Shan He, Zexuan Zhu:
A memory binary particle swarm optimization. IEEE Congress on Evolutionary Computation 2012: 1-5 - [c13]Ling Lin, Zhen Ji, Shan He, Zexuan Zhu:
A crown jewel defense strategy based particle swarm optimization. IEEE Congress on Evolutionary Computation 2012: 1-6 - [c12]Wenmin Liu, Zhen Ji, Shan He, Zexuan Zhu:
Survival analysis of gene expression data using PSO based radial basis function networks. IEEE Congress on Evolutionary Computation 2012: 1-5 - [c11]Zexuan Zhu, Wenmin Liu, Shan He, Zhen Ji:
Memetic clustering based on particle swarm optimizer and K-means. IEEE Congress on Evolutionary Computation 2012: 1-6 - [c10]Thomas White, Shan He:
An Empirical Comparison of Several Recent Multi-objective Evolutionary Algorithms. AIAI (1) 2012: 48-57 - [c9]Guanbo Jia, Zixing Cai, Mirco Musolesi, Yong Wang, Dan A. Tennant, Ralf J. M. Weber, John K. Heath, Shan He:
Community Detection in Social and Biological Networks Using Differential Evolution. LION 2012: 71-85 - [c8]Qiang Huang, Thomas White, Guanbo Jia, Mirco Musolesi, Nil Turan, Ke Tang, Shan He, John K. Heath, Xin Yao:
Community Detection Using Cooperative Co-evolutionary Differential Evolution. PPSN (2) 2012: 235-244 - [c7]Zexuan Zhu, LinLin Shen, Yiwen Sun, Shan He, Zhen Ji:
Memetic Three-Dimensional Gabor Feature Extraction for Hyperspectral Imagery Classification. ICSI (1) 2012: 479-488
2000 – 2009
- 2009
- [j1]Shan He, Q. Henry Wu, Jon R. Saunders:
Group Search Optimizer: An Optimization Algorithm Inspired by Animal Searching Behavior. IEEE Trans. Evol. Comput. 13(5): 973-990 (2009) - [c6]Shan He, Huanhuan Chen, Xiaoli Li, Xin Yao:
Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning. ICANN (2) 2009: 185-194 - 2008
- [c5]Shan He, Darko Kirovski:
Mixing bounded Laplace and Gaussian fingerprints. ACSCC 2008: 1378-1385 - [c4]Shan He, Xiaoli Li:
Application of a group search optimization based Artificial Neural Network to machine condition monitoring. ETFA 2008: 1260-1266 - 2007
- [c3]Shan He, Xiaoli Li:
Profiling of High-Throughput Mass Spectrometry Data for Ovarian Cancer Detection. IDEAL 2007: 860-869 - 2006
- [c2]Shan He, Q. H. Wu, Jon R. Saunders:
A Group Search Optimizer for Neural Network Training. ICCSA (3) 2006: 934-943 - 2005
- [c1]Wenhu Tang, Shan He, Emmanuel Prempain, Q. H. Wu, J. Fitch:
A particle swarm optimiser with passive congregation approach to thermal modelling for power transformers. Congress on Evolutionary Computation 2005: 2745-2751
Coauthor Index
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