Zengyou He

According to our database, Zengyou He authored at least 100 papers between 2002 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Random forest clustering for discrete sequences.

Mudi Jiang, Jiaqi Wang, Lianyu Hu, Zengyou He

Pattern Recognit. Lett., October, 2023

The statistical nature of h-index of a network node and its extensions.

Yan Liu, Mudi Jiang, Lianyu Hu, Zengyou He

J. Informetrics, August, 2023

Mining Statistically Significant Communities From Weighted Networks.

Zengyou He, Wenfang Chen, Xiaoqi Wei, Yan Liu

IEEE Trans. Knowl. Data Eng., June, 2023

On the Statistical Significance of a Community Structure.

Zengyou He, Xiaoqi Wei, Wenfang Chen, Yan Liu

IEEE Trans. Knowl. Data Eng., March, 2023

Decision Tree for Sequences.

Zengyou He, Ziyao Wu, Guangyao Xu, Yan Liu, Quan Zou

IEEE Trans. Knowl. Data Eng., 2023

Hamming Encoder: Mining Discriminative k-mers for Discrete Sequence Classification.

Junjie Dong, Mudi Jiang, Lianyu Hu, Zengyou He

CoRR, 2023

Interpretable Sequence Clustering.

Junjie Dong, Xinyi Yang, Mudi Jiang, Lianyu Hu, Zengyou He

CoRR, 2023

A testing-based approach to assess the clusterability of categorical data.

Lianyu Hu, Junjie Dong, Mudi Jiang, Yan Liu, Zengyou He

CoRR, 2023

Personalized Interpretable Classification.

Zengyou He, Yifan Tang, Lianyu Hu, Mudi Jiang, Yan Liu

CoRR, 2023

2022

Detecting Statistically Significant Communities.

Zengyou He, Hao Liang, Zheng Chen, Can Zhao, Yan Liu

IEEE Trans. Knowl. Data Eng., 2022

Significance-Based Essential Protein Discovery.

Yan Liu, Hao Liang, Quan Zou, Zengyou He

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Significance-Based Categorical Data Clustering.

Lianyu Hu, Mudi Jiang, Yan Liu, Zengyou He

CoRR, 2022

The statistical nature of h-index of a network node.

Yan Liu, Mudi Jiang, Lianyu Hu, Zengyou He

CoRR, 2022

2021

Essential Protein Recognition via Community Significance.

Yan Liu, Wenfang Chen, Zengyou He

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

A graph-traversal approach to identify influential nodes in a network.

Yan Liu, Xiaoqi Wei, Wenfang Chen, Lianyu Hu, Zengyou He

Patterns, 2021

Instance-Based Classification Through Hypothesis Testing.

Zengyou He, Chaohua Sheng, Yan Liu, Quan Zou

IEEE Access, 2021

2020

Protein Complexes Identification with Family-Wise Error Rate Control.

Zengyou He, Can Zhao, Hao Liang, Bo Xu, Quan Zou

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Computing exact P-values for community detection.

Zengyou He, Hao Liang, Zheng Chen, Can Zhao, Yan Liu

Data Min. Knowl. Discov., 2020

Reference-Based Sequence Classification.

Zengyou He, Guangyao Xu, Chaohua Sheng, Bo Xu, Quan Zou

IEEE Access, 2020

2019

Reinforce: An Ensemble Approach for Inferring PPI Network from AP-MS Data.

Bo Tian, Qiong Duan, Can Zhao, Ben Teng, Zengyou He

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

面向PCP-MS数据的PPI网络推断算法 (PPI Network Inference Algorithm for PCP-MS Data).

Zheng Chen, Bo Tian, Zengyou He

计算机科学, 2019

Mining conditional discriminative sequential patterns.

Zengyou He, Simeng Zhang, Feiyang Gu, Jun Wu

Inf. Sci., 2019

Significance-based discriminative sequential pattern mining.

Zengyou He, Simeng Zhang, Jun Wu

Expert Syst. Appl., 2019

Correlation-Based Community Detection.

Zheng Chen, Zengyou He, Hao Liang, Can Zhao, Yan Liu

CoRR, 2019

2018

On the statistical significance of protein complex.

Youfu Su, Can Zhao, Zheng Chen, Bo Tian, Zengyou He

Quant. Biol., 2018

Detecting Statistically Significant Communities.

Zengyou He, Hao Liang, Zheng Chen, Can Zhao

CoRR, 2018

Protein complexes identification based on go attributed network embedding.

Bo Xu, Kun Li, Wei Zheng, Xiaoxia Liu, Yijia Zhang, Zhehuan Zhao, Zengyou He

BMC Bioinform., 2018

PCM: A Pairwise Correlation Mining Package for Biological Network Inference.

Hao Liang, Feiyang Gu, Chaohua Sheng, Qiong Duan, Bo Tian, Jun Wu, Bo Xu, Zengyou He

Proceedings of the Intelligent Computing Theories and Application, 2018

RPML: A Learning-Based Approach for Reranking Protein-Spectrum Matches.

Qiong Duan, Hao Liang, Chaohua Sheng, Jun Wu, Bo Xu, Zengyou He

Proceedings of the Intelligent Computing Theories and Application, 2018

2017

Inferring MicroRNA-Disease Associations by Random Walk on a Heterogeneous Network with Multiple Data Sources.

Yuansheng Liu, Xiangxiang Zeng, Zengyou He, Quan Zou

IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Conditional discriminative pattern mining: Concepts and algorithms.

Zengyou He, Feiyang Gu, Can Zhao, Xiaoqing Liu, Jun Wu, Ju Wang

Inf. Sci., 2017

A two-step framework for inferring direct protein-protein interaction network from AP-MS data.

Bo Tian, Can Zhao, Feiyang Gu, Zengyou He

BMC Syst. Biol., 2017

2016

Computing exact permutation p-values for association rules.

Jun Wu, Zengyou He, Feiyang Gu, Xiaoqing Liu, Jianyu Zhou, Can Yang

Inf. Sci., 2016

Protein inference: A protein quantification perspective.

Zengyou He, Ting Huang, Xiaoqing Liu, Peijun Zhu, Ben Teng, Shengchun Deng

Comput. Biol. Chem., 2016

2015

BagReg: Protein inference through machine learning.

Can Zhao, Dao Liu, Ben Teng, Zengyou He

Comput. Biol. Chem., 2015

Network inference from AP-MS data: computational challenges and solutions.

Ben Teng, Can Zhao, Xiaoqing Liu, Zengyou He

Briefings Bioinform., 2015

Discriminative pattern mining and its applications in bioinformatics.

Xiaoqing Liu, Jun Wu, Feiyang Gu, Jie Wang, Zengyou He

Briefings Bioinform., 2015

High Dimensional Explicit Feature Biased Matrix Factorization Recommendation.

Weibin Sun, Xianchao Zhang, Wenxin Liang, Zengyou He

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2015

A Semi-Supervised Framework for Social Spammer Detection.

Zhaoxing Li, Xianchao Zhang, Hua Shen, Wenxin Liang, Zengyou He

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

2014

Improved and Promising Identificationof Human MicroRNAs by Incorporatinga High-Quality Negative Set.

Leyi Wei, Minghong Liao, Yue Gao, Rongrong Ji, Zengyou He, Quan Zou

IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Mining Conditional Phosphorylation Motifs.

Xiaoqing Liu, Jun Wu, Haipeng Gong, Shengchun Deng, Zengyou He

IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Decoy-free protein-level false discovery rate estimation.

Ben Teng, Ting Huang, Zengyou He

Bioinform., 2014

Data construction for phosphorylation site prediction.

Haipeng Gong, Xiaoqing Liu, Jun Wu, Zengyou He

Briefings Bioinform., 2014

2013

A Combinatorial Perspective of the Protein Inference Problem.

Chao Yang, Zengyou He, Weichuan Yu

IEEE ACM Trans. Comput. Biol. Bioinform., 2013

ProteinLasso: A Lasso regression approach to protein inference problem in shotgun proteomics.

Ting Huang, Haipeng Gong, Can Yang, Zengyou He

Comput. Biol. Chem., 2013

2012

Peptide Reranking with Protein-Peptide Correspondence and Precursor Peak Intensity Information.

Chao Yang, Zengyou He, Can Yang, Weichuan Yu

IEEE ACM Trans. Comput. Biol. Bioinform., 2012

On unbiased performance evaluation for protein inference

Zengyou He, Ting Huang, Peijun Zhu

CoRR, 2012

Protein Inference and Protein Quantification: Two Sides of the Same Coin

Ting Huang, Peijun Zhu, Zengyou He

CoRR, 2012

A linear programming model for protein inference problem in shotgun proteomics.

Ting Huang, Zengyou He

Bioinform., 2012

Comments on 'MMFPh: A Maximal Motif Finder for Phosphoproteomics Datasets'.

Zengyou He, Haipeng Gong

Bioinform., 2012

Protein inference: a review.

Ting Huang, Jingjing Wang, Weichuan Yu, Zengyou He

Briefings Bioinform., 2012

2011

A Partial Set Covering Model for Protein Mixture Identification Using Mass Spectrometry Data.

Zengyou He, Can Yang, Weichuan Yu

IEEE ACM Trans. Comput. Biol. Bioinform., 2011

Clustering categorical data streams.

Zengyou He, Xiaofei Xu, Shengchun Deng, Joshua Zhexue Huang

J. Comput. Methods Sci. Eng., 2011

Attribute value weighting in k-modes clustering.

Zengyou He, Xiaofei Xu, Shengchun Deng

Expert Syst. Appl., 2011

The choice of null distributions for detecting gene-gene interactions in genome-wide association studies.

Can Yang, Xiang Wan, Zengyou He, Qiang Yang, Hong Xue, Weichuan Yu

BMC Bioinform., 2011

Score regularization for peptide identification.

Zengyou He, Hongyu Zhao, Weichuan Yu

BMC Bioinform., 2011

Motif-All: discovering all phosphorylation motifs.

Zengyou He, Can Yang, Guangyu Guo, Ning Li, Weichuan Yu

BMC Bioinform., 2011

2010

G-ANMI: A mutual information based genetic clustering algorithm for categorical data.

Shengchun Deng, Zengyou He, Xiaofei Xu

Knowl. Based Syst., 2010

Optimization-Based Peptide Mass Fingerprinting for Protein Mixture Identification.

Zengyou He, Chao Yang, Can Yang, Robert Z. Qi, Jason Po-Ming Tam, Weichuan Yu

J. Comput. Biol., 2010

Efficient K-Nearest Neighbor Join Algorithms for High Dimensional Sparse Data

Jijie Wang, Lei Lin, Ting Huang, Jingjing Wang, Zengyou He

CoRR, 2010

Stable feature selection for biomarker discovery.

Zengyou He, Weichuan Yu

Comput. Biol. Chem., 2010

2009

Comparison of public peak detection algorithms for MALDI mass spectrometry data analysis.

Chao Yang, Zengyou He, Weichuan Yu

BMC Bioinform., 2009

SNPHarvester: a filtering-based approach for detecting epistatic interactions in genome-wide association studies.

Can Yang, Zengyou He, Xiang Wan, Qiang Yang, Hong Xue, Weichuan Yu

Bioinform., 2009

Improving peptide identification with single-stage mass spectrum peaks.

Zengyou He, Weichuan Yu

Bioinform., 2009

Dynamic Self-configuration of User QoS for Next Generation Network.

Guangsheng Feng, Huiqiang Wang, Bingyang Li, Zengyou He

Proceedings of the NPC 2009, 2009

2008

k-ANMI: A mutual information based clustering algorithm for categorical data.

Zengyou He, Xiaofei Xu, Shengchun Deng

Inf. Fusion, 2008

A SCOR Reference Model of the Supply Chain Management System in an Enterprise.

Danish Irfan, Xiaofei Xu, Shengchun Deng, Zengyou He

Int. Arab J. Inf. Technol., 2008

Peak bagging for peptide mass fingerprinting.

Zengyou He, Can Yang, Weichuan Yu

Bioinform., 2008

2007

On the Impact of Dissimilarity Measure in k-Modes Clustering Algorithm.

Michael K. Ng, Mark Junjie Li, Joshua Zhexue Huang, Zengyou He

IEEE Trans. Pattern Anal. Mach. Intell., 2007

K-means Clustering - A Survey.

Danish Irfan, Xiaofei Xu, Shengchun Deng, Zengyou He

Proceedings of the 2007 International Conference on Information & Knowledge Engineering, 2007

2006

Mining top-k strongly correlated item pairs without minimum correlation threshold.

Zengyou He, Xiaofei Xu, Shengchun Deng

Int. J. Knowl. Based Intell. Eng. Syst., 2006

Farthest-Point Heuristic based Initialization Methods for K-Modes Clustering

Zengyou He

CoRR, 2006

Approximation Algorithms for K-Modes Clustering

Zengyou He

CoRR, 2006

Improving categorical data clustering algorithm by weighting uncommon attribute value matches.

Zengyou He, Xiaofei Xu, Shengchun Deng

Comput. Sci. Inf. Syst., 2006

A Fast Greedy Algorithm for Outlier Mining.

Zengyou He, Shengchun Deng, Xiaofei Xu, Joshua Zhexue Huang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Approximation Algorithms for <i>K</i>-Modes Clustering.

Zengyou He, Shengchun Deng, Xiaofei Xu

Proceedings of the Computational Intelligence, 2006

2005

TCSOM: Clustering Transactions Using Self-Organizing Map.

Zengyou He, Xiaofei Xu, Shengchun Deng

Neural Process. Lett., 2005

A cluster ensemble method for clustering categorical data.

Zengyou He, Xiaofei Xu, Shengchun Deng

Inf. Fusion, 2005

Scalable algorithms for clustering large datasets with mixed type attributes.

Zengyou He, Xiaofei Xu, Shengchun Deng

Int. J. Intell. Syst., 2005

Mining action rules from scratch.

Zengyou He, Xiaofei Xu, Shengchun Deng, Ronghua Ma

Expert Syst. Appl., 2005

K-Histograms: An Efficient Clustering Algorithm for Categorical Dataset

Zengyou He, Xiaofei Xu, Shengchun Deng, Bin Dong

CoRR, 2005

Clustering Mixed Numeric and Categorical Data: A Cluster Ensemble Approach

Zengyou He, Xiaofei Xu, Shengchun Deng

CoRR, 2005

A Fast Greedy Algorithm for Outlier Mining

Zengyou He, Xiaofei Xu, Shengchun Deng

CoRR, 2005

A Unified Subspace Outlier Ensemble Framework for Outlier Detection in High Dimensional Spaces

Zengyou He, Xiaofei Xu, Shengchun Deng

CoRR, 2005

Mining Top-k Approximate Frequent Patterns

Zengyou He

CoRR, 2005

Data Mining for Actionable Knowledge: A Survey

Zengyou He, Xiaofei Xu, Shengchun Deng

CoRR, 2005

FP-outlier: Frequent pattern based outlier detection.

Zengyou He, Xiaofei Xu, Joshua Zhexue Huang, Shengchun Deng

Comput. Sci. Inf. Syst., 2005

A Unified Subspace Outlier Ensemble Framework for Outlier Detection.

Zengyou He, Shengchun Deng, Xiaofei Xu

Proceedings of the Advances in Web-Age Information Management, 2005

An Optimization Model for Outlier Detection in Categorical Data.

Zengyou He, Shengchun Deng, Xiaofei Xu

Proceedings of the Advances in Intelligent Computing, 2005

An FP-Tree Based Approach for Mining All Strongly Correlated Item Pairs.

Zengyou He, Shengchun Deng, Xiaofei Xu

Proceedings of the Computational Intelligence and Security, International Conference, 2005

Improving K-Modes Algorithm Considering Frequencies of Attribute Values in Mode.

Zengyou He, Shengchun Deng, Xiaofei Xu

Proceedings of the Computational Intelligence and Security, International Conference, 2005

2004

Mining class outliers: concepts, algorithms and applications in CRM.

Zengyou He, Xiaofei Xu, Joshua Zhexue Huang, Shengchun Deng

Expert Syst. Appl., 2004

A FP-Tree Based Approach for Mining All Strongly Correlated Pairs without Candidate Generation

Zengyou He, Xiaofei Xu, Shengchun Deng

CoRR, 2004

A Link Clustering Based Approach for Clustering Categorical Data

Zengyou He, Xiaofei Xu, Shengchun Deng

CoRR, 2004

Modeling Complex Higher Order Patterns

Zengyou He, Xiaofei Xu, Shengchun Deng

CoRR, 2004

A Frequent Pattern Discovery Method for Outlier Detection.

Zengyou He, Xiaofei Xu, Joshua Zhexue Huang, Shengchun Deng

Proceedings of the Advances in Web-Age Information Management: 5th International Conference, 2004

Mining Class Outliers: Concepts, Algorithms and Applications.

Zengyou He, Joshua Zhexue Huang, Xiaofei Xu, Shengchun Deng

Proceedings of the Advances in Web-Age Information Management: 5th International Conference, 2004

2003

Discovering cluster-based local outliers.

Zengyou He, Xiaofei Xu, Shengchun Deng

Pattern Recognit. Lett., 2003

2002

Squeezer: An Efficient Algorithm for Clustering Categorical Data.

Zengyou He, Xiaofei Xu, Shengchun Deng

J. Comput. Sci. Technol., 2002

Outlier Detection Integrating Semantic Knowledge.

Zengyou He, Shengchun Deng, Xiaofei Xu

Proceedings of the Advances in Web-Age Information Management, 2002