Zengyou He

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 40

Top Venues

CoRR

IEEE ACM Trans. Comput. Biol. Bioinform.

IEEE Trans. Knowl. Data Eng.

Inf. Sci.

Publications

Mudi Jiang, Lianyu Hu, Zengyou He, Zhikui Chen
Interpretable Multi-View Clustering. CoRR (2024)
Yan Liu, Xue Feng, Jun Lou, Lianyu Hu, Zengyou He
Central node identification via weighted kernel density estimation. Data Min. Knowl. Discov. 38 (3) (2024)
Zengyou He, Jiaqi Wang, Mudi Jiang, Lianyu Hu, Quan Zou
Random subsequence forests. Inf. Sci. 667 (2024)
Mudi Jiang, Lianyu Hu, Xin Han, Yong Zhou, Zengyou He
A randomized algorithm for clustering discrete sequences. Pattern Recognit. 151 (2024)
Mudi Jiang, Jiaqi Wang, Lianyu Hu, Zengyou He
Random forest clustering for discrete sequences. Pattern Recognit. Lett. 174 (2023)
Zengyou He, Yifan Tang, Lianyu Hu, Mudi Jiang, Yan Liu
Personalized Interpretable Classification. CoRR (2023)
Yan Liu, Mudi Jiang, Lianyu Hu, Zengyou He
The statistical nature of h-index of a network node and its extensions. J. Informetrics 17 (3) (2023)
Zengyou He, Xiaoqi Wei, Wenfang Chen, Yan Liu
On the Statistical Significance of a Community Structure. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Zengyou He, Wenfang Chen, Xiaoqi Wei, Yan Liu
Mining Statistically Significant Communities From Weighted Networks. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Lianyu Hu, Junjie Dong, Mudi Jiang, Yan Liu, Zengyou He
A testing-based approach to assess the clusterability of categorical data. CoRR (2023)
Junjie Dong, Mudi Jiang, Lianyu Hu, Zengyou He
Hamming Encoder: Mining Discriminative k-mers for Discrete Sequence Classification. CoRR (2023)
Zengyou He, Ziyao Wu, Guangyao Xu, Yan Liu, Quan Zou
Decision Tree for Sequences. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Junjie Dong, Xinyi Yang, Mudi Jiang, Lianyu Hu, Zengyou He
Interpretable Sequence Clustering. CoRR (2023)
Yan Liu, Hao Liang, Quan Zou, Zengyou He
Significance-Based Essential Protein Discovery. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (1) (2022)
Yan Liu, Mudi Jiang, Lianyu Hu, Zengyou He
The statistical nature of h-index of a network node. CoRR (2022)
Lianyu Hu, Mudi Jiang, Yan Liu, Zengyou He
Significance-Based Categorical Data Clustering. CoRR (2022)
Zengyou He, Hao Liang, Zheng Chen, Can Zhao, Yan Liu
Detecting Statistically Significant Communities. IEEE Trans. Knowl. Data Eng. 34 (6) (2022)
Yan Liu, Xiaoqi Wei, Wenfang Chen, Lianyu Hu, Zengyou He
A graph-traversal approach to identify influential nodes in a network. Patterns 2 (9) (2021)
Zengyou He, Chaohua Sheng, Yan Liu, Quan Zou
Instance-Based Classification Through Hypothesis Testing. IEEE Access 9 (2021)
Yan Liu, Wenfang Chen, Zengyou He
Essential Protein Recognition via Community Significance. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Zengyou He, Can Zhao, Hao Liang, Bo Xu, Quan Zou
Protein Complexes Identification with Family-Wise Error Rate Control. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (6) (2020)
Zengyou He, Guangyao Xu, Chaohua Sheng, Bo Xu, Quan Zou
Reference-Based Sequence Classification. IEEE Access 8 (2020)
Zengyou He, Hao Liang, Zheng Chen, Can Zhao, Yan Liu
Computing exact P-values for community detection. Data Min. Knowl. Discov. 34 (3) (2020)
Zengyou He, Simeng Zhang, Feiyang Gu, Jun Wu
Mining conditional discriminative sequential patterns. Inf. Sci. 478 (2019)
Bo Tian, Qiong Duan, Can Zhao, Ben Teng, Zengyou He
Reinforce: An Ensemble Approach for Inferring PPI Network from AP-MS Data. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (2) (2019)
Zengyou He, Chaohua Sheng, Yan Liu, Quan Zou
Instance-Based Classification through Hypothesis Testing. CoRR (2019)
Zengyou He, Guangyao Xu, Chaohua Sheng, Bo Xu, Quan Zou
Reference-Based Sequence Classification. CoRR (2019)
Zheng Chen, Bo Tian, Zengyou He
面向PCP-MS数据的PPI网络推断算法 (PPI Network Inference Algorithm for PCP-MS Data). 计算机科学 46 (12) (2019)
Zengyou He, Simeng Zhang, Jun Wu
Significance-based discriminative sequential pattern mining. Expert Syst. Appl. 122 (2019)
Zheng Chen, Zengyou He, Hao Liang, Can Zhao, Yan Liu
Correlation-Based Community Detection. CoRR (2019)
Qiong Duan, Hao Liang, Chaohua Sheng, Jun Wu, Bo Xu, Zengyou He
RPML: A Learning-Based Approach for Reranking Protein-Spectrum Matches. ICIC (1) (2018)
Hao Liang, Feiyang Gu, Chaohua Sheng, Qiong Duan, Bo Tian, Jun Wu, Bo Xu, Zengyou He
PCM: A Pairwise Correlation Mining Package for Biological Network Inference. ICIC (2) (2018)
Bo Xu, Kun Li, Wei Zheng, Xiaoxia Liu, Yijia Zhang, Zhehuan Zhao, Zengyou He
Protein complexes identification based on go attributed network embedding. BMC Bioinform. 19 (1) (2018)
Youfu Su, Can Zhao, Zheng Chen, Bo Tian, Zengyou He
On the statistical significance of protein complex. Quant. Biol. 6 (4) (2018)
Zengyou He, Hao Liang, Zheng Chen, Can Zhao
Detecting Statistically Significant Communities. CoRR (2018)
Bo Tian, Can Zhao, Feiyang Gu, Zengyou He
A two-step framework for inferring direct protein-protein interaction network from AP-MS data. BMC Syst. Biol. 11 (S-4) (2017)
Zengyou He, Feiyang Gu, Can Zhao, Xiaoqing Liu, Jun Wu, Ju Wang
Conditional discriminative pattern mining: Concepts and algorithms. Inf. Sci. 375 (2017)
Yuansheng Liu, Xiangxiang Zeng, Zengyou He, Quan Zou
Inferring MicroRNA-Disease Associations by Random Walk on a Heterogeneous Network with Multiple Data Sources. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (4) (2017)
Zengyou He, Ting Huang, Xiaoqing Liu, Peijun Zhu, Ben Teng, Shengchun Deng
Protein inference: A protein quantification perspective. Comput. Biol. Chem. 63 (2016)
Jun Wu, Zengyou He, Feiyang Gu, Xiaoqing Liu, Jianyu Zhou, Can Yang
Computing exact permutation p-values for association rules. Inf. Sci. (2016)
Xiaoqing Liu, Jun Wu, Feiyang Gu, Jie Wang, Zengyou He
Discriminative pattern mining and its applications in bioinformatics. Briefings Bioinform. 16 (5) (2015)
Zhaoxing Li, Xianchao Zhang, Hua Shen, Wenxin Liang, Zengyou He
A Semi-Supervised Framework for Social Spammer Detection. PAKDD (2) (2015)
Can Zhao, Dao Liu, Ben Teng, Zengyou He
BagReg: Protein inference through machine learning. Comput. Biol. Chem. 57 (2015)
Ben Teng, Can Zhao, Xiaoqing Liu, Zengyou He
Network inference from AP-MS data: computational challenges and solutions. Briefings Bioinform. 16 (4) (2015)
Weibin Sun, Xianchao Zhang, Wenxin Liang, Zengyou He
High Dimensional Explicit Feature Biased Matrix Factorization Recommendation. PAKDD Workshops (2015)
Leyi Wei, Minghong Liao, Yue Gao, Rongrong Ji, Zengyou He, Quan Zou
Improved and Promising Identificationof Human MicroRNAs by Incorporatinga High-Quality Negative Set. IEEE ACM Trans. Comput. Biol. Bioinform. 11 (1) (2014)
Ben Teng, Ting Huang, Zengyou He
Decoy-free protein-level false discovery rate estimation. Bioinform. 30 (5) (2014)
Haipeng Gong, Xiaoqing Liu, Jun Wu, Zengyou He
Data construction for phosphorylation site prediction. Briefings Bioinform. 15 (5) (2014)
Xiaoqing Liu, Jun Wu, Haipeng Gong, Shengchun Deng, Zengyou He
Mining Conditional Phosphorylation Motifs. IEEE ACM Trans. Comput. Biol. Bioinform. 11 (5) (2014)
Chao Yang, Zengyou He, Weichuan Yu
A Combinatorial Perspective of the Protein Inference Problem. IEEE ACM Trans. Comput. Biol. Bioinform. 10 (6) (2013)
Ting Huang, Haipeng Gong, Can Yang, Zengyou He
ProteinLasso: A Lasso regression approach to protein inference problem in shotgun proteomics. Comput. Biol. Chem. 43 (2013)
Zengyou He, Haipeng Gong
Comments on 'MMFPh: A Maximal Motif Finder for Phosphoproteomics Datasets'. Bioinform. 28 (16) (2012)
Chao Yang, Zengyou He, Can Yang, Weichuan Yu
Peptide Reranking with Protein-Peptide Correspondence and Precursor Peak Intensity Information. IEEE ACM Trans. Comput. Biol. Bioinform. 9 (4) (2012)
Ting Huang, Peijun Zhu, Zengyou He
Protein Inference and Protein Quantification: Two Sides of the Same Coin CoRR (2012)
Ting Huang, Jingjing Wang, Weichuan Yu, Zengyou He
Protein inference: a review. Briefings Bioinform. 13 (5) (2012)
Zengyou He, Ting Huang, Peijun Zhu
On unbiased performance evaluation for protein inference CoRR (2012)
Ting Huang, Zengyou He
A linear programming model for protein inference problem in shotgun proteomics. Bioinform. 28 (22) (2012)
Zengyou He, Hongyu Zhao, Weichuan Yu
Score regularization for peptide identification. BMC Bioinform. 12 (S-1) (2011)
Zengyou He, Xiaofei Xu, Shengchun Deng, Joshua Zhexue Huang
Clustering categorical data streams. J. Comput. Methods Sci. Eng. 11 (4) (2011)
Zengyou He, Can Yang, Guangyu Guo, Ning Li, Weichuan Yu
Motif-All: discovering all phosphorylation motifs. BMC Bioinform. 12 (S-1) (2011)
Zengyou He, Xiaofei Xu, Shengchun Deng
Attribute value weighting in k-modes clustering. Expert Syst. Appl. 38 (12) (2011)
Can Yang, Xiang Wan, Zengyou He, Qiang Yang, Hong Xue, Weichuan Yu
The choice of null distributions for detecting gene-gene interactions in genome-wide association studies. BMC Bioinform. 12 (S-1) (2011)
Zengyou He, Can Yang, Weichuan Yu
A Partial Set Covering Model for Protein Mixture Identification Using Mass Spectrometry Data. IEEE ACM Trans. Comput. Biol. Bioinform. 8 (2) (2011)
Zengyou He, Weichuan Yu
Stable Feature Selection for Biomarker Discovery CoRR (2010)
Shengchun Deng, Zengyou He, Xiaofei Xu
G-ANMI: A mutual information based genetic clustering algorithm for categorical data. Knowl. Based Syst. 23 (2) (2010)
Zengyou He, Weichuan Yu
Stable feature selection for biomarker discovery. Comput. Biol. Chem. 34 (4) (2010)
Jijie Wang, Lei Lin, Ting Huang, Jingjing Wang, Zengyou He
Efficient K-Nearest Neighbor Join Algorithms for High Dimensional Sparse Data CoRR (2010)
Zengyou He, Chao Yang, Can Yang, Robert Z. Qi, Jason Po-Ming Tam, Weichuan Yu
Optimization-Based Peptide Mass Fingerprinting for Protein Mixture Identification. J. Comput. Biol. 17 (3) (2010)
Chao Yang, Zengyou He, Weichuan Yu
Comparison of public peak detection algorithms for MALDI mass spectrometry data analysis. BMC Bioinform. 10 (2009)
Guangsheng Feng, Huiqiang Wang, Bingyang Li, Zengyou He
Dynamic Self-configuration of User QoS for Next Generation Network. NPC (2009)
Zengyou He, Weichuan Yu
Improving peptide identification with single-stage mass spectrum peaks. Bioinform. 25 (22) (2009)
Zengyou He, Chao Yang, Can Yang, Robert Z. Qi, Jason Po-Ming Tam, Weichuan Yu
Optimization-Based Peptide Mass Fingerprinting for Protein Mixture Identification. RECOMB (2009)
Can Yang, Zengyou He, Xiang Wan, Qiang Yang, Hong Xue, Weichuan Yu
SNPHarvester: a filtering-based approach for detecting epistatic interactions in genome-wide association studies. Bioinform. 25 (4) (2009)
Zengyou He, Xiaofei Xu, Shengchun Deng
k-ANMI: A mutual information based clustering algorithm for categorical data. Inf. Fusion 9 (2) (2008)
Zengyou He, Can Yang, Weichuan Yu
Peak bagging for peptide mass fingerprinting. Bioinform. 24 (10) (2008)
Danish Irfan, Xiaofei Xu, Shengchun Deng, Zengyou He
A SCOR Reference Model of the Supply Chain Management System in an Enterprise. Int. Arab J. Inf. Technol. 5 (3) (2008)
Danish Irfan, Xiaofei Xu, Shengchun Deng, Zengyou He
K-means Clustering - A Survey. IKE (2007)
Zengyou He, Xiaofei Xu, Shengchun Deng
Attribute Value Weighting in K-Modes Clustering CoRR (2007)
Michael K. Ng, Mark Junjie Li, Joshua Zhexue Huang, Zengyou He
On the Impact of Dissimilarity Measure in k-Modes Clustering Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 29 (3) (2007)
Zengyou He
Farthest-Point Heuristic based Initialization Methods for K-Modes Clustering CoRR (2006)
Zengyou He, Xiaofei Xu, Shengchun Deng
Improving categorical data clustering algorithm by weighting uncommon attribute value matches. Comput. Sci. Inf. Syst. 3 (1) (2006)
Zengyou He, Xiaofei Xu, Shengchun Deng
Mining top-k strongly correlated item pairs without minimum correlation threshold. Int. J. Knowl. Based Intell. Eng. Syst. 10 (2) (2006)
Zengyou He, Shengchun Deng, Xiaofei Xu
-Modes Clustering. ICIC (2) (2006)
Zengyou He
Approximation Algorithms for K-Modes Clustering CoRR (2006)
Zengyou He, Shengchun Deng, Xiaofei Xu, Joshua Zhexue Huang
A Fast Greedy Algorithm for Outlier Mining. PAKDD (2006)
Zengyou He, Xiaofei Xu, Shengchun Deng
TCSOM: Clustering Transactions Using Self-Organizing Map. Neural Process. Lett. 22 (3) (2005)
Zengyou He, Xiaofei Xu, Shengchun Deng
Clustering Mixed Numeric and Categorical Data: A Cluster Ensemble Approach CoRR (2005)
Zengyou He, Xiaofei Xu, Shengchun Deng
Scalable algorithms for clustering large datasets with mixed type attributes. Int. J. Intell. Syst. 20 (10) (2005)
Zengyou He, Xiaofei Xu, Shengchun Deng, Ronghua Ma
Mining action rules from scratch. Expert Syst. Appl. 29 (3) (2005)
Zengyou He, Xiaofei Xu, Shengchun Deng
An Optimization Model for Outlier Detection in Categorical Data CoRR (2005)
Zengyou He, Xiaofei Xu, Shengchun Deng, Bin Dong
K-Histograms: An Efficient Clustering Algorithm for Categorical Dataset CoRR (2005)
Zengyou He, Xiaofei Xu, Shengchun Deng
Data Mining for Actionable Knowledge: A Survey CoRR (2005)
Zengyou He, Xiaofei Xu, Shengchun Deng
A Unified Subspace Outlier Ensemble Framework for Outlier Detection in High Dimensional Spaces CoRR (2005)
Zengyou He, Shengchun Deng, Xiaofei Xu
A Unified Subspace Outlier Ensemble Framework for Outlier Detection. WAIM (2005)
Zengyou He, Shengchun Deng, Xiaofei Xu
An Optimization Model for Outlier Detection in Categorical Data. ICIC (1) (2005)
Zengyou He, Shengchun Deng, Xiaofei Xu
An FP-Tree Based Approach for Mining All Strongly Correlated Item Pairs. CIS (1) (2005)
Zengyou He
Mining Top-k Approximate Frequent Patterns CoRR (2005)
Zengyou He, Xiaofei Xu, Shengchun Deng
K-ANMI: A Mutual Information Based Clustering Algorithm for Categorical Data CoRR (2005)
Zengyou He, Shengchun Deng, Xiaofei Xu
Improving K-Modes Algorithm Considering Frequencies of Attribute Values in Mode. CIS (1) (2005)
Zengyou He, Xiaofei Xu, Shengchun Deng
A cluster ensemble method for clustering categorical data. Inf. Fusion 6 (2) (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zengyou He