Outlier Detection Integrating Semantic Knowledge. - Zengyou He; Shengchun Deng; Xiaofei Xu (WAIM, 2002)

Squeezer: An Efficient Algorithm for Clustering Categorical Data. - Zengyou He; Xiaofei Xu; Shengchun Deng (J. Comput. Sci. Technol., 2002)

Discovering cluster-based local outliers. - Zengyou He; Xiaofei Xu; Shengchun Deng (Pattern Recognit. Lett., 2003)

Mining Class Outliers: Concepts, Algorithms and Applications. - Zengyou He; Joshua Zhexue Huang; Xiaofei Xu; Shengchun Deng (WAIM, 2004)

A Frequent Pattern Discovery Method for Outlier Detection. - Zengyou He; Xiaofei Xu; Joshua Zhexue Huang; Shengchun Deng (WAIM, 2004)

Modeling Complex Higher Order Patterns - 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)

A FP-Tree Based Approach for Mining All Strongly Correlated Pairs without Candidate Generation - Zengyou He; Xiaofei Xu; Shengchun Deng (CoRR, 2004)

Mining class outliers: concepts, algorithms and applications in CRM. - Zengyou He; Xiaofei Xu; Joshua Zhexue Huang; Shengchun Deng (Expert Syst. Appl., 2004)

Improving K-Modes Algorithm Considering Frequencies of Attribute Values in Mode. - Zengyou He; Shengchun Deng; Xiaofei Xu (CIS (1), 2005)

An FP-Tree Based Approach for Mining All Strongly Correlated Item Pairs. - Zengyou He; Shengchun Deng; Xiaofei Xu (CIS (1), 2005)

An Optimization Model for Outlier Detection in Categorical Data. - Zengyou He; Shengchun Deng; Xiaofei Xu (ICIC (1), 2005)

A Unified Subspace Outlier Ensemble Framework for Outlier Detection. - Zengyou He; Shengchun Deng; Xiaofei Xu (WAIM, 2005)

FP-outlier: Frequent pattern based outlier detection. - Zengyou He; Xiaofei Xu; Joshua Zhexue Huang; Shengchun Deng (Comput. Sci. Inf. Syst., 2005)

Data Mining for Actionable Knowledge: A Survey - Zengyou He; Xiaofei Xu; Shengchun Deng (CoRR, 2005)

Mining Top-k Approximate Frequent Patterns - Zengyou He (CoRR, 2005)

A Unified Subspace Outlier Ensemble Framework for Outlier Detection in High Dimensional Spaces - Zengyou He; Xiaofei Xu; Shengchun Deng (CoRR, 2005)

A Fast Greedy Algorithm for Outlier Mining - Zengyou He; Xiaofei Xu; Shengchun Deng (CoRR, 2005)

Clustering Mixed Numeric and Categorical Data: A Cluster Ensemble Approach - Zengyou He; Xiaofei Xu; Shengchun Deng (CoRR, 2005)

K-Histograms: An Efficient Clustering Algorithm for Categorical Dataset - Zengyou He; Xiaofei Xu; Shengchun Deng; Bin Dong (CoRR, 2005)

Mining action rules from scratch. - Zengyou He; Xiaofei Xu; Shengchun Deng; Ronghua Ma (Expert Syst. Appl., 2005)

Scalable algorithms for clustering large datasets with mixed type attributes. - Zengyou He; Xiaofei Xu; Shengchun Deng (Int. J. Intell. Syst., 2005)

A cluster ensemble method for clustering categorical data. - Zengyou He; Xiaofei Xu; Shengchun Deng (Inf. Fusion, 2005)

TCSOM: Clustering Transactions Using Self-Organizing Map. - Zengyou He; Xiaofei Xu; Shengchun Deng (Neural Process. Lett., 2005)

Approximation Algorithms for K-Modes Clustering. - Zengyou He; Shengchun Deng; Xiaofei Xu (ICIC (2), 2006)

A Fast Greedy Algorithm for Outlier Mining. - Zengyou He; Shengchun Deng; Xiaofei Xu; Joshua Zhexue Huang (PAKDD, 2006)

Improving categorical data clustering algorithm by weighting uncommon attribute value matches. - Zengyou He; Xiaofei Xu; Shengchun Deng (Comput. Sci. Inf. Syst., 2006)

Approximation Algorithms for K-Modes Clustering - Zengyou He (CoRR, 2006)

Farthest-Point Heuristic based Initialization Methods for K-Modes Clustering - Zengyou He (CoRR, 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)

K-means Clustering - A Survey. - Danish Irfan; Xiaofei Xu; Shengchun Deng; Zengyou He (IKE, 2007)

On the Impact of Dissimilarity Measure in k-Modes Clustering Algorithm. - Michael K. Ng 001; Mark Junjie Li; Joshua Zhexue Huang; Zengyou He (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Peak bagging for peptide mass fingerprinting. - Zengyou He; Can Yang 002; Weichuan Yu (Bioinform., 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)

k-ANMI: A mutual information based clustering algorithm for categorical data. - Zengyou He; Xiaofei Xu; Shengchun Deng (Inf. Fusion, 2008)

Dynamic Self-configuration of User QoS for Next Generation Network. - Guangsheng Feng; Huiqiang Wang; Bingyang Li; Zengyou He (NPC, 2009)

Improving peptide identification with single-stage mass spectrum peaks. - Zengyou He; Weichuan Yu (Bioinform., 2009)

SNPHarvester: a filtering-based approach for detecting epistatic interactions in genome-wide association studies. - Can Yang 002; Zengyou He; Xiang Wan; Qiang Yang 001; Hong Xue 001; Weichuan Yu (Bioinform., 2009)

Comparison of public peak detection algorithms for MALDI mass spectrometry data analysis. - Chao Yang; Zengyou He; Weichuan Yu (BMC Bioinform., 2009)

Stable feature selection for biomarker discovery. - Zengyou He; Weichuan Yu (Comput. Biol. Chem., 2010)

Efficient K-Nearest Neighbor Join Algorithms for High Dimensional Sparse Data - Jijie Wang; Lei Lin; Ting Huang; Jingjing Wang; Zengyou He (CoRR, 2010)

Optimization-Based Peptide Mass Fingerprinting for Protein Mixture Identification. - Zengyou He; Chao Yang; Can Yang 002; Robert Z. Qi; Jason Po-Ming Tam; Weichuan Yu (J. Comput. Biol., 2010)

G-ANMI: A mutual information based genetic clustering algorithm for categorical data. - Shengchun Deng; Zengyou He; Xiaofei Xu (Knowl. Based Syst., 2010)

Motif-All: discovering all phosphorylation motifs. - Zengyou He; Can Yang 002; Guangyu Guo; Ning Li; Weichuan Yu (BMC Bioinform., 2011)

Score regularization for peptide identification. - Zengyou He; Hongyu Zhao 003; Weichuan Yu (BMC Bioinform., 2011)

The choice of null distributions for detecting gene-gene interactions in genome-wide association studies. - Can Yang 002; Xiang Wan; Zengyou He; Qiang Yang 001; Hong Xue 001; Weichuan Yu (BMC Bioinform., 2011)

Attribute value weighting in k-modes clustering. - Zengyou He; Xiaofei Xu; Shengchun Deng (Expert Syst. Appl., 2011)

Clustering categorical data streams. - Zengyou He; Xiaofei Xu; Shengchun Deng; Joshua Zhexue Huang (J. Comput. Methods Sci. Eng., 2011)

A Partial Set Covering Model for Protein Mixture Identification Using Mass Spectrometry Data. - Zengyou He; Can Yang 002; Weichuan Yu (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

Protein inference: a review. - Ting Huang; Jingjing Wang; Weichuan Yu; Zengyou He (Briefings Bioinform., 2012)

Comments on 'MMFPh: A Maximal Motif Finder for Phosphoproteomics Datasets'. - Zengyou He; Haipeng Gong (Bioinform., 2012)

A linear programming model for protein inference problem in shotgun proteomics. - Ting Huang; Zengyou He (Bioinform., 2012)

Protein Inference and Protein Quantification: Two Sides of the Same Coin - Ting Huang; Peijun Zhu; Zengyou He (CoRR, 2012)

On unbiased performance evaluation for protein inference - Zengyou He; Ting Huang; Peijun Zhu (CoRR, 2012)

Peptide Reranking with Protein-Peptide Correspondence and Precursor Peak Intensity Information. - Chao Yang; Zengyou He; Can Yang 002; Weichuan Yu (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

ProteinLasso: A Lasso regression approach to protein inference problem in shotgun proteomics. - Ting Huang; Haipeng Gong; Can Yang 002; Zengyou He (Comput. Biol. Chem., 2013)

A Combinatorial Perspective of the Protein Inference Problem. - Chao Yang; Zengyou He; Weichuan Yu (IEEE ACM Trans. Comput. Biol. Bioinform., 2013)

Data construction for phosphorylation site prediction. - Haipeng Gong; Xiaoqing Liu; Jun Wu; Zengyou He (Briefings Bioinform., 2014)

Decoy-free protein-level false discovery rate estimation. - Ben Teng; Ting Huang; Zengyou He (Bioinform., 2014)

Mining Conditional Phosphorylation Motifs. - Xiaoqing Liu; Jun Wu; Haipeng Gong; Shengchun Deng; Zengyou He (IEEE ACM Trans. Comput. Biol. Bioinform., 2014)

Improved and Promising Identificationof Human MicroRNAs by Incorporatinga High-Quality Negative Set. - Leyi Wei; Minghong Liao; Yue Gao 002; Rongrong Ji; Zengyou He; Quan Zou 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2014)

A Semi-Supervised Framework for Social Spammer Detection. - Zhaoxing Li; Xianchao Zhang 001; Hua Shen 001; Wenxin Liang; Zengyou He (PAKDD (2), 2015)

High Dimensional Explicit Feature Biased Matrix Factorization Recommendation. - Weibin Sun; Xianchao Zhang 001; Wenxin Liang; Zengyou He (PAKDD Workshops, 2015)

Discriminative pattern mining and its applications in bioinformatics. - Xiaoqing Liu; Jun Wu; Feiyang Gu; Jie Wang 004; Zengyou He (Briefings Bioinform., 2015)

Network inference from AP-MS data: computational challenges and solutions. - Ben Teng; Can Zhao 007; Xiaoqing Liu; Zengyou He (Briefings Bioinform., 2015)

BagReg: Protein inference through machine learning. - Can Zhao 007; Dao Liu; Ben Teng; Zengyou He (Comput. Biol. Chem., 2015)

Protein inference: A protein quantification perspective. - Zengyou He; Ting Huang; Xiaoqing Liu; Peijun Zhu; Ben Teng; Shengchun Deng (Comput. Biol. Chem., 2016)

Computing exact permutation p-values for association rules. - Jun Wu; Zengyou He; Feiyang Gu; Xiaoqing Liu; Jianyu Zhou; Can Yang 002 (Inf. Sci., 2016)

A two-step framework for inferring direct protein-protein interaction network from AP-MS data. - Bo Tian; Can Zhao 007; Feiyang Gu; Zengyou He (BMC Syst. Biol., 2017)

Conditional discriminative pattern mining: Concepts and algorithms. - Zengyou He; Feiyang Gu; Can Zhao 007; Xiaoqing Liu; Jun Wu; Ju Wang (Inf. Sci., 2017)

Inferring MicroRNA-Disease Associations by Random Walk on a Heterogeneous Network with Multiple Data Sources. - Yuansheng Liu; Xiangxiang Zeng; Zengyou He; Quan Zou 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

RPML: A Learning-Based Approach for Reranking Protein-Spectrum Matches. - Qiong Duan; Hao Liang; Chaohua Sheng; Jun Wu; Bo Xu 009; Zengyou He (ICIC (1), 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 008; Zengyou He (ICIC (2), 2018)

Protein complexes identification based on go attributed network embedding. - Bo Xu 008; Kun Li; Wei Zheng 003; Xiaoxia Liu; Yijia Zhang 001; Zhehuan Zhao; Zengyou He (BMC Bioinform., 2018)

Detecting Statistically Significant Communities. - Zengyou He; Hao Liang; Zheng Chen; Can Zhao 007 (CoRR, 2018)

On the statistical significance of protein complex. - Youfu Su; Can Zhao 007; Zheng Chen; Bo Tian; Zengyou He (Quant. Biol., 2018)

Correlation-Based Community Detection. - Zheng Chen; Zengyou He; Hao Liang; Can Zhao 007; Yan Liu 085 (CoRR, 2019)

Significance-based discriminative sequential pattern mining. - Zengyou He; Simeng Zhang; Jun Wu (Expert Syst. Appl., 2019)

Mining conditional discriminative sequential patterns. - Zengyou He; Simeng Zhang; Feiyang Gu; Jun Wu (Inf. Sci., 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)

Reinforce: An Ensemble Approach for Inferring PPI Network from AP-MS Data. - Bo Tian; Qiong Duan; Can Zhao 007; Ben Teng; Zengyou He (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Reference-Based Sequence Classification. - Zengyou He; Guangyao Xu; Chaohua Sheng; Bo Xu 008; Quan Zou 001 (IEEE Access, 2020)

Computing exact P-values for community detection. - Zengyou He; Hao Liang; Zheng Chen; Can Zhao 007; Yan Liu 085 (Data Min. Knowl. Discov., 2020)

Protein Complexes Identification with Family-Wise Error Rate Control. - Zengyou He; Can Zhao 007; Hao Liang; Bo Xu 008; Quan Zou 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Instance-Based Classification Through Hypothesis Testing. - Zengyou He; Chaohua Sheng; Yan Liu 085; Quan Zou 001 (IEEE Access, 2021)

A graph-traversal approach to identify influential nodes in a network. - Yan Liu 085; Xiaoqi Wei; Wenfang Chen; Lianyu Hu 001; Zengyou He (Patterns, 2021)

Essential Protein Recognition via Community Significance. - Yan Liu 085; Wenfang Chen; Zengyou He (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

The statistical nature of h-index of a network node. - Yan Liu 085; Mudi Jiang; Lianyu Hu 001; Zengyou He (CoRR, 2022)

Significance-Based Categorical Data Clustering. - Lianyu Hu 001; Mudi Jiang; Yan Liu 085; Zengyou He (CoRR, 2022)

Significance-Based Essential Protein Discovery. - Yan Liu 085; Hao Liang; Quan Zou 001; Zengyou He (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Detecting Statistically Significant Communities. - Zengyou He; Hao Liang; Zheng Chen; Can Zhao 007; Yan Liu 085 (IEEE Trans. Knowl. Data Eng., 2022)

Personalized Interpretable Classification. - Zengyou He; Yifan Tang; Lianyu Hu 001; Mudi Jiang; Yan Liu 085 (CoRR, 2023)

A testing-based approach to assess the clusterability of categorical data. - Lianyu Hu 001; Junjie Dong; Mudi Jiang; Yan Liu 085; Zengyou He (CoRR, 2023)

Decision Tree for Sequences. - Zengyou He; Ziyao Wu; Guangyao Xu; Yan Liu 085; Quan Zou 001 (IEEE Trans. Knowl. Data Eng., 2023)

On the Statistical Significance of a Community Structure. - Zengyou He; Xiaoqi Wei; Wenfang Chen; Yan Liu 085 (IEEE Trans. Knowl. Data Eng., 2023)

Mining Statistically Significant Communities From Weighted Networks. - Zengyou He; Wenfang Chen; Xiaoqi Wei; Yan Liu 085 (IEEE Trans. Knowl. Data Eng., 2023)

The statistical nature of h-index of a network node and its extensions. - Yan Liu 085; Mudi Jiang; Lianyu Hu 001; Zengyou He (J. Informetrics, 2023)

Random forest clustering for discrete sequences. - Mudi Jiang; Jiaqi Wang; Lianyu Hu 001; Zengyou He (Pattern Recognit. Lett., 2023)

Partition, Predict and Assemble: Targeting Long RNA Secondary Structure Prediction. - Xiaoya Fan; Yuming Cui; Zheng Zhao; Zengyou He; Qi Zhao; Zhong Wang 001 (BIBM, 2024)

EEG-based Seizure Type Classification with Temporal-Spatial-Spectral Attention. - Xiaoya Fan; Pengzhi Xu; Wenkui Sun; Shan Yang; Qi Zhao; Chenru Hao; Zengyou He; Zheng Zhao; Zhong Wang 001 (BIBM, 2024)

KAS-former: a transformer-based model for predicting histone modifications using KAS-seq. - Lijuan Jia; Wen Wen; Zhaoxi Zhang; Jiaxin Zhong; Xiaoya Fan; Zengyou He; Ruitu Lyu; Zhong Wang 001 (BIBM, 2024)

Integrating topology and biological information to predict essential proteins via Shannon entropy. - Yan Liu 085; Zhong Wang 001; Zengyou He; Hexin Zhang; Jing Qin (BIBM, 2024)

Essential protein discovery on weighted PPI networks via statistical information fusion. - Yan Liu 085; Ye Yuan; Zhong Wang 001; Zengyou He; Hexin Zhang; Hongwei Wu; Ya-Dong Wang (BIBM, 2024)

Interpretable Clustering: A Survey. - Lianyu Hu 001; Mudi Jiang; Junjie Dong; Xinying Liu; Zengyou He (CoRR, 2024)

Random subsequence forests. - Zengyou He; Jiaqi Wang; Mudi Jiang; Lianyu Hu 001; Quan Zou 001 (Inf. Sci., 2024)

A randomized algorithm for clustering discrete sequences. - Mudi Jiang; Lianyu Hu 001; Xin Han; Yong Zhou; Zengyou He (Pattern Recognit., 2024)

Central node identification via weighted kernel density estimation. - Yan Liu 085; Xue Feng; Jun Lou; Lianyu Hu 001; Zengyou He (Data Min. Knowl. Discov., 2024)

Node Centrality Inference via Hypothesis Testing. - Zengyou He; Jun Lou; Yan Liu 085; Lianyu Hu 001; Mudi Jiang (Stat. Anal. Data Min., 2024)

Statistical significance of cluster membership for categorical data. - Lianyu Hu 001; Zerun Li; Junjie Dong; Mudi Jiang; Zengyou He (Eng. Appl. Artif. Intell., 2025)

Interpretable sequence clustering. - Junjie Dong; Xinyi Yang 006; Mudi Jiang; Lianyu Hu 001; Zengyou He (Inf. Sci., 2025)

Significance-based interpretable sequence clustering. - Zengyou He; Lianyu Hu 001; Jinfeng He; Junjie Dong; Mudi Jiang; Xinying Liu (Inf. Sci., 2025)

Conjunction subspaces test for conformal and selective classification. - Zengyou He; Zerun Li; Junjie Dong; Xinying Liu; Mudi Jiang; Lianyu Hu 001 (Inf. Sci., 2025)

Community structure testing by counting frequent common neighbor sets. - Zengyou He; Xiaolei Li; Lianyu Hu 001; Mudi Jiang; Yan Liu 085 (Inf. Sci., 2025)

Significance-based decision tree for interpretable categorical data clustering. - Lianyu Hu 001; Mudi Jiang; Xinying Liu; Zengyou He (Inf. Sci., 2025)

Interpretable categorical data clustering via hypothesis testing. - Lianyu Hu 001; Mudi Jiang; Junjie Dong; Xinying Liu; Zengyou He (Pattern Recognit., 2025)

Interpretable multi-view clustering. - Mudi Jiang; Lianyu Hu 001; Zengyou He; Zhikui Chen (Pattern Recognit., 2025)

Clustering Categorical Data via Multiple Hypothesis Testing. - Lianyu Hu 001; Mudi Jiang; Yan Liu 085; Quan Zou 001; Zengyou He (ACM Trans. Knowl. Discov. Data, 2025)

Clusterability test for categorical data. - Lianyu Hu 001; Junjie Dong; Mudi Jiang; Yan Liu 085; Zengyou He (Knowl. Inf. Syst., 2025)

Interpretable Clustering Ensemble. - Hang Lv 013; Lianyu Hu 001; Mudi Jiang; Xinying Liu; Zengyou He (CoRR, 2025)

Two-cluster test. - Xinying Liu; Lianyu Hu 001; Mudi Jiang; Simeng Zhang; Jun Lou; Zengyou He (CoRR, 2025)

Hamming encoder: mining discriminative k-mers for discrete sequence classification. - Junjie Dong; Mudi Jiang; Lianyu Hu 001; Zengyou He (Data Min. Knowl. Discov., 2025)

Adversarial Fair Multi-View Clustering. - Mudi Jiang; Jiahui Zhou; Lianyu Hu 001; Xinying Liu; Zengyou He; Zhikui Chen (CoRR, 2025)

BG2VN: benchmark graph generator for vital node recognition. - Yizhen Wang; Yan Liu 085; Zengyou He (Frontiers Comput. Sci., 2025)