Yuhai Zhao

发表

Mining Time-Delayed Coherent Patterns in Time Series Gene Expression Data

Guoren Wang, Linjun Yin, Keming Mao, 2006, ADMA.

Finding Global Contrast Core Subgraphs in Large-Scale Genetic Association Study

Yuan Li, Yuhai Zhao, Jing Sun, 2019, 2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS).

Maximal Subspace Coregulated Gene Clustering

Ge Yu, Bin Wang, Jeffrey Xu Yu, 2008, IEEE Transactions on Knowledge and Data Engineering.

A Novel Local Features-Based Approach for Clustering Microarray Data

Zhipeng Wang, Ying Yin, Yuhai Zhao, 2007, 2007 International Conference on Computational Intelligence and Security (CIS 2007).

A Novel Approach to Revealing Positive and Negative Co-Regulated Genes

Guangyu Xu, Ying Yin, Guoren Wang, 2007, Journal of Computer Science and Technology.

A Novel Local Features-Based Approach for Clustering Microarray Data

Ying Yin, Zhipeng Wang, Yuhai Zhao, 2007 .

Fast filtering false active subspaces for efficient high dimensional similarity processing

Ge Yu, Guoren Wang, Yuhai Zhao, 2009, Science in China Series F: Information Sciences.

Generating Peptide Sequence Tags for Peptide Identification via Tandem Mass Spectrometry

Junjie Wu, Guoren Wang, Keming Mao, 2009, 2009 Ninth IEEE International Conference on Bioinformatics and BioEngineering.

Research on Data Cube technology of Dwarf based semantic OLAP

Bin Zhang, Xizhe Zhang, Ying Yin, 2009, 2009 International Conference on Future BioMedical Information Engineering (FBIE).

Mining Positive and Negative Co-regulation Patterns from Microarray Data

Ge Yu, Ying Yin, Guoren Wang, 2006, Sixth IEEE Symposium on BioInformatics and BioEngineering (BIBE'06).

A Self-healing composite Web service model

Bin Zhang, Xizhe Zhang, Ying Yin, 2009, 2009 IEEE Asia-Pacific Services Computing Conference (APSCC).

Diversified Coverage based Tag Recommendation

Yuhai Zhao, Gang Sheng, Ying Yin, 2014 .

An Enhanced Extreme Learning Machine for Efficient Small Sample Classification

Ying Yin, Yuhai Zhao, Bin Zhang, 2016 .

ELM ∗ : distributed extreme learning machine with MapReduce

Zhiqiong Wang, Guoren Wang, Yuhai Zhao, 2013, World Wide Web.

Mining Maximal Local Conserved Gene Clusters from Microarray Data

Guangyu Xu, Ying Yin, Guoren Wang, 2006, ADMA.

Mining the Most Interesting Patterns from Multiple Phenotypes Medical Data

Bin Zhang, Ying Yin, Guoren Wang, 2006, RSCTC.

An Incremental Updating Based Fast Phenotype Structure Learning Algorithm

Ying Yin, Yuhai Zhao, Hao Cheng, 2014, ICIC.

Super-Graph Classification Based on Composite Subgraph Features and Extreme Learning Machine

Ge Yu, Yu Gu, Jia Xu, 2018, Cognitive Computation.

Improving Multi-Instance Multi-Label Learning by Extreme Learning Machine

Bin Zhang, Ying Yin, Yuhai Zhao, 2016 .

Distributed Density Peaks Clustering Revisited

Kian-Lee Tan, Yuhai Zhao, Jing Lu, 2020 .

Enhancing ELM by Markov Boundary based feature selection

Ying Yin, Song Guo, Bin Zhang, 2017, Neurocomputing.

Identifying Vital/Protect Patterns for Classification in Multiple Phenotypes Medical Data

Bin Zhang, Ying Yin, Yuhai Zhao, 2006, 2006 International Conference on Computational Intelligence and Security.

Self-Adjusting Ant Colony Optimization Based on Information Entropy for Detecting Epistatic Interactions

Yuhai Zhao, Boxin Guan, Yuhai Zhao, 2019, Genes.

Finding Novel Diagnostic Gene Patterns Based on Interesting Non-redundant Contrast Sequence Rules

Guoren Wang, Yuhai Zhao, Zhanghui Wang, 2011, 2011 IEEE 11th International Conference on Data Mining.

Identifying top-k Vital Patterns from multi-class medical data

Ying Yin, Yuhai Zhao, Guoren Wang, 2009, 2009 International Conference on Future BioMedical Information Engineering (FBIE).

An Ant Colony Optimization Based on Information Entropy for Constraint Satisfaction Problems

Yuhai Zhao, Yuan Li, Boxin Guan, 2019, Entropy.

Efficiently mining local conserved clusters from gene expression data

Botao Wang, Guoren Wang, Yuhai Zhao, 2010, Neurocomputing.

Adaptive Dynamic Composite Service Reselection Mechanism with Compensation

Xizhe Zhang, Dazhe Zhao, Ying Yin, 2012 .

DESeeker: Detecting Epistatic Interactions Using a Two-Stage Differential Evolution Algorithm

Yuhai Zhao, Yuan Li, Boxin Guan, 2019, IEEE Access.

Extreme Learning Machine for large-scale graph classification based on MapReduce

Lei Chen, Ye Yuan, Guoren Wang, 2017, Neurocomputing.

Towards Coarse and Fine-grained Multi-Graph Multi-Label Learning pdf

Chengqi Zhang, Yuhai Zhao, Zhengkui Wang, 2020, ArXiv.

EDAM: An Efficient Clique Discovery Algorithm with Frequency Transformation for Finding Motifs

Yifei Ma, Guoren Wang, Yuhai Zhao, 2005, APBC.

Finding Top-k Covering Irreducible Contrast Sequence Rules for Disease Diagnosis

Ying Yin, Yuhai Zhao, Yuan Li, 2015, Comput. Math. Methods Medicine.

An efficient projected partition algorithm based on the order among genes

Yuhai Zhao, He Pan, Zesheng Sun, 2013, 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).

Weight Based Live Migration of Virtual Machines

Kai Zhang, Guoren Wang, Yuhai Zhao, 2013, PAKDD Workshops.

Improving ELM-Based Service Quality Prediction by Concise Feature Extraction

Ying Yin, Bin Zhang, Guoren Wang, 2015 .

Detecting Statistically Significant Events in Large Heterogeneous Attribute Graphs via Densest Subgraphs

Xiaolin Fan, Guoren Wang, Yuhai Zhao, 2020, KSEM.

An Efficient and Effective Overlapping Communities Discovery Based on Agglomerative Graph

Liang Chen, He Li, Ying Yin, 2016, 2016 IEEE International Conference on Web Services (ICWS).

On extending extreme learning machine to non-redundant synergy pattern based graph classification

Xue Wang, Guoren Wang, Yuhai Zhao, 2015, Neurocomputing.

Mining coterie patterns from Instagram photo trajectories for recommending popular travel routes

Ge Yu, Guoren Wang, Yuhai Zhao, 2016, Frontiers of Computer Science.

XML document classification based on ELM

Xin Bi, Guoren Wang, Yuhai Zhao, 2011, Neurocomputing.

Multi-Graph Multi-Label Learning Based on Entropy

Yuhai Zhao, Zixuan Zhu, Yuhai Zhao, 2018, Entropy.

Efficiently Mining Time-Delayed Gene Expression Patterns

Guoren Wang, Linjun Yin, Keming Mao, 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Multi-objective evolutionary clustering for large-scale dynamic community detection

He Li, Yuhai Zhao, Xiangjun Dong, 2021, Inf. Sci..

Improving ELM-based microarray data classification by diversified sequence features selection

Ying Yin, Guoren Wang, Yuhai Zhao, 2014, Neural Computing and Applications.

An improved ant colony optimization with an automatic updating mechanism for constraint satisfaction problems

Yuhai Zhao, Yuan Li, Boxin Guan, 2021, Expert Syst. Appl..

Large-Scale Graph Classification Based on Evolutionary Computation with MapReduce

Guoren Wang, Yuhai Zhao, Zhanghui Wang, 2015, APWeb.

Detecting Disease-Associated SNP-SNP Interactions Using Progressive Screening Memetic Algorithm

Ying Yin, Yuhai Zhao, Yuan Li, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Mining Biologically Significant Co-regulation Patterns from Microarray Data

Ying Yin, Guoren Wang, Yuhai Zhao, 2006, RSKT.

Dynamic Self-Healing Mechanism for Transactional Business Process

Ying Yin, Yuhai Zhao, 2015 .

Identifying Synchronous and Asynchronous Co-regulations from Time Series Gene Expression Data

Bin Zhang, Ying Yin, Yuhai Zhao, 2007, PAKDD.

LLR: Learning learning rates by LSTM for training neural networks

Xin He, Yuhai Zhao, Cuirong Wang, 2020, Neurocomputing.

CIS: A NONPARAMETRIC CLUSTERING ALGORITHM FOR GENE EXPRESSION DATA

Ying Yin, Guoren Wang, Keming Mao, 2005 .

Unsupervised Identifying Diagnostic Genes and Specific Phenotypes from Microarray Data

Ying Yin, Guoren Wang, Yuhai Zhao, 2006, 2006 International Conference on Computational Intelligence and Security.

Mining Time-Shifting Co-regulation Patterns from Gene Expression Data

Bin Zhang, Ying Yin, Guoren Wang, 2007, APWeb/WAIM.

A differential evolution based feature combination selection algorithm for high-dimensional data

Yuhai Zhao, Boxin Guan, Ying Yin, 2021, Inf. Sci..

A Novel Web Service Quality Prediction Framework Based on F-ELM

Ying Yin, Bin Zhang, Guoren Wang, 2015 .

Learning Phenotype Structure Using Sequence Model

Jeffrey Xu Yu, Xiang Zhang, Guoren Wang, 2014, IEEE Transactions on Knowledge and Data Engineering.

Effective k-Vertex Connected Component Detection in Large-Scale Networks

Feida Zhu, Guoren Wang, Yuhai Zhao, 2017, DASFAA.

An Active Service Reselection Triggering Mechanism

Ming Li, Tiancheng Zhang, Ying Yin, 2013, APWeb.

Multi-instance Multi-label Learning by Extreme Learning Machine

Libo Qin, Yuhai Zhao, Guang Chen, 2016 .

GDC: An efficient tag recommendation algorithm

Ying Yin, Bin Zhang, Yuhai Zhao, 2015, 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).

Finding susceptible and protective interaction patterns in large-scale genetic association study

Xiaofeng Zhu, Jun Pang, Xiang Zhang, 2017, Frontiers of Computer Science.

A Multi-stage Spectral Alignment Strategy for Unrestrictive PTM Peptide Identification

Guoren Wang, Keming Mao, Yuhai Zhao, 2010, 2010 IEEE International Conference on BioInformatics and BioEngineering.