Zengyou He - RankMe

142 papers B 2C 1Misc 1Journal 120Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Clustering Validation via Sample Pair Co-Cluster Testing. IEEE Trans. Knowl. Data Eng. Xinying Liu, Lianyu Hu, Mudi Jiang, Zengyou He
2026	J	`jnl`	Clustering With Multiview Explanations. IEEE Trans. Knowl. Data Eng. Jingwen Chen, Lianyu Hu, Xinying Liu, Mudi Jiang, Simeng Zhang, Jun Lou, Zengyou He
2026	J	`jnl`	Interpretable Clustering: A Survey. ACM Comput. Surv. Lianyu Hu, Mudi Jiang, Junjie Dong, Xinying Liu, Zengyou He
2026	J	`jnl`	Interpretable Sequence Classification via Decision Set. IEEE Trans. Knowl. Data Eng. Pengju Li, Junjie Dong, Mudi Jiang, Xinying Liu, Lianyu Hu, Zengyou He
2026	J	`jnl`	Personalized interpretable classification. Knowl. Inf. Syst. Zengyou He, Pengju Li, Yifan Tang, Lianyu Hu, Mudi Jiang, Yan Liu
2025	J	`jnl`	Adversarial Fair Multi-View Clustering. CoRR Mudi Jiang, Jiahui Zhou, Lianyu Hu, Xinying Liu, Zengyou He, Zhikui Chen
2025	J	`jnl`	BG Frontiers Comput. Sci. Yizhen Wang, Yan Liu, Zengyou He
2025	J	`jnl`	Clusterability test for categorical data. Knowl. Inf. Syst. Lianyu Hu, Junjie Dong, Mudi Jiang, Yan Liu, Zengyou He
2025	J	`jnl`	Clustering Categorical Data via Multiple Hypothesis Testing. ACM Trans. Knowl. Discov. Data Lianyu Hu, Mudi Jiang, Yan Liu, Quan Zou, Zengyou He
2025	J	`jnl`	Community structure testing by counting frequent common neighbor sets. Inf. Sci. Zengyou He, Xiaolei Li, Lianyu Hu, Mudi Jiang, Yan Liu
2025	J	`jnl`	Conjunction subspaces test for conformal and selective classification. Inf. Sci. Zengyou He, Zerun Li, Junjie Dong, Xinying Liu, Mudi Jiang, Lianyu Hu
2025	J	`jnl`	Hamming encoder: mining discriminative k-mers for discrete sequence classification. Data Min. Knowl. Discov. Junjie Dong, Mudi Jiang, Lianyu Hu, Zengyou He
2025	J	`jnl`	Interpretable Clustering Ensemble. CoRR Hang Lv, Lianyu Hu, Mudi Jiang, Xinying Liu, Zengyou He
2025	J	`jnl`	Interpretable Fair Clustering. CoRR Mudi Jiang, Jiahui Zhou, Xinying Liu, Zengyou He, Zhikui Chen
2025	J	`jnl`	Interpretable categorical data clustering via hypothesis testing. Pattern Recognit. Lianyu Hu, Mudi Jiang, Junjie Dong, Xinying Liu, Zengyou He
2025	J	`jnl`	Interpretable multi-view clustering. Pattern Recognit. Mudi Jiang, Lianyu Hu, Zengyou He, Zhikui Chen
2025	J	`jnl`	Interpretable sequence clustering. Inf. Sci. Junjie Dong, Xinyi Yang, Mudi Jiang, Lianyu Hu, Zengyou He
2025	—	`conf`	MambaHM: High-Resolution Histone Modification Prediction from ATAC-seq and DNA Sequence. BIBM Zhaoxi Zhang, Lijuan Jia, Zhixiang Xu, Zengyou He, Zhong Wang, Xiaoya Fan
2025	J	`jnl`	Significance-based decision tree for interpretable categorical data clustering. Inf. Sci. Lianyu Hu, Mudi Jiang, Xinying Liu, Zengyou He
2025	J	`jnl`	Significance-based interpretable sequence clustering. Inf. Sci. Zengyou He, Lianyu Hu, Jinfeng He, Junjie Dong, Mudi Jiang, Xinying Liu
2025	J	`jnl`	Statistical significance of cluster membership for categorical data. Eng. Appl. Artif. Intell. Lianyu Hu, Zerun Li, Junjie Dong, Mudi Jiang, Zengyou He
2025	J	`jnl`	Two-cluster test. CoRR Xinying Liu, Lianyu Hu, Mudi Jiang, Simeng Zhang, Jun Lou, Zengyou He
2024	J	`jnl`	A randomized algorithm for clustering discrete sequences. Pattern Recognit. Mudi Jiang, Lianyu Hu, Xin Han, Yong Zhou, Zengyou He
2024	J	`jnl`	Central node identification via weighted kernel density estimation. Data Min. Knowl. Discov. Yan Liu, Xue Feng, Jun Lou, Lianyu Hu, Zengyou He
2024	J	`jnl`	Conjunction Subspaces Test for Conformal and Selective Classification. CoRR Zengyou He, Zerun Li, Junjie Dong, Xinying Liu, Mudi Jiang, Lianyu Hu
2024	—	`conf`	EEG-based Seizure Type Classification with Temporal-Spatial-Spectral Attention. BIBM Xiaoya Fan, Pengzhi Xu, Wenkui Sun, Shan Yang, Qi Zhao, Chenru Hao, Zengyou He, Zheng Zhao, Zhong Wang
2024	—	`conf`	Essential protein discovery on weighted PPI networks via statistical information fusion. BIBM Yan Liu, Ye Yuan, Zhong Wang, Zengyou He, Hexin Zhang, Hongwei Wu, Ya-Dong Wang
2024	—	`conf`	Integrating topology and biological information to predict essential proteins via Shannon entropy. BIBM Yan Liu, Zhong Wang, Zengyou He, Hexin Zhang, Jing Qin
2024	J	`jnl`	Interpretable Clustering: A Survey. CoRR Lianyu Hu, Mudi Jiang, Junjie Dong, Xinying Liu, Zengyou He
2024	J	`jnl`	Interpretable Multi-View Clustering. CoRR Mudi Jiang, Lianyu Hu, Zengyou He, Zhikui Chen
2024	—	`conf`	KAS-former: a transformer-based model for predicting histone modifications using KAS-seq. BIBM Lijuan Jia, Wen Wen, Zhaoxi Zhang, Jiaxin Zhong, Xiaoya Fan, Zengyou He, Ruitu Lyu, Zhong Wang
2024	J	`jnl`	Node Centrality Inference via Hypothesis Testing. Stat. Anal. Data Min. Zengyou He, Jun Lou, Yan Liu, Lianyu Hu, Mudi Jiang
2024	—	`conf`	Partition, Predict and Assemble: Targeting Long RNA Secondary Structure Prediction. BIBM Xiaoya Fan, Yuming Cui, Zheng Zhao, Zengyou He, Qi Zhao, Zhong Wang
2024	J	`jnl`	Random subsequence forests. Inf. Sci. Zengyou He, Jiaqi Wang, Mudi Jiang, Lianyu Hu, Quan Zou
2023	J	`jnl`	A testing-based approach to assess the clusterability of categorical data. CoRR Lianyu Hu, Junjie Dong, Mudi Jiang, Yan Liu, Zengyou He
2023	J	`jnl`	Decision Tree for Sequences. IEEE Trans. Knowl. Data Eng. Zengyou He, Ziyao Wu, Guangyao Xu, Yan Liu, Quan Zou
2023	J	`jnl`	Hamming Encoder: Mining Discriminative k-mers for Discrete Sequence Classification. CoRR Junjie Dong, Mudi Jiang, Lianyu Hu, Zengyou He
2023	J	`jnl`	Interpretable Sequence Clustering. CoRR Junjie Dong, Xinyi Yang, Mudi Jiang, Lianyu Hu, Zengyou He
2023	J	`jnl`	Mining Statistically Significant Communities From Weighted Networks. IEEE Trans. Knowl. Data Eng. Zengyou He, Wenfang Chen, Xiaoqi Wei, Yan Liu
2023	J	`jnl`	On the Statistical Significance of a Community Structure. IEEE Trans. Knowl. Data Eng. Zengyou He, Xiaoqi Wei, Wenfang Chen, Yan Liu
2023	J	`jnl`	Personalized Interpretable Classification. CoRR Zengyou He, Yifan Tang, Lianyu Hu, Mudi Jiang, Yan Liu
2023	J	`jnl`	Random forest clustering for discrete sequences. Pattern Recognit. Lett. Mudi Jiang, Jiaqi Wang, Lianyu Hu, Zengyou He
2023	J	`jnl`	The statistical nature of h-index of a network node and its extensions. J. Informetrics Yan Liu, Mudi Jiang, Lianyu Hu, Zengyou He
2022	J	`jnl`	Detecting Statistically Significant Communities. IEEE Trans. Knowl. Data Eng. Zengyou He, Hao Liang, Zheng Chen, Can Zhao, Yan Liu
2022	J	`jnl`	Significance-Based Categorical Data Clustering. CoRR Lianyu Hu, Mudi Jiang, Yan Liu, Zengyou He
2022	J	`jnl`	Significance-Based Essential Protein Discovery. IEEE ACM Trans. Comput. Biol. Bioinform. Yan Liu, Hao Liang, Quan Zou, Zengyou He
2022	J	`jnl`	The statistical nature of h-index of a network node. CoRR Yan Liu, Mudi Jiang, Lianyu Hu, Zengyou He
2021	J	`jnl`	A graph-traversal approach to identify influential nodes in a network. Patterns Yan Liu, Xiaoqi Wei, Wenfang Chen, Lianyu Hu, Zengyou He
2021	J	`jnl`	Essential Protein Recognition via Community Significance. IEEE ACM Trans. Comput. Biol. Bioinform. Yan Liu, Wenfang Chen, Zengyou He
2021	J	`jnl`	Instance-Based Classification Through Hypothesis Testing. IEEE Access Zengyou He, Chaohua Sheng, Yan Liu, Quan Zou
2020	J	`jnl`	Computing exact P-values for community detection. Data Min. Knowl. Discov. Zengyou He, Hao Liang, Zheng Chen, Can Zhao, Yan Liu
2020	J	`jnl`	Protein Complexes Identification with Family-Wise Error Rate Control. IEEE ACM Trans. Comput. Biol. Bioinform. Zengyou He, Can Zhao, Hao Liang, Bo Xu, Quan Zou
2020	J	`jnl`	Reference-Based Sequence Classification. IEEE Access Zengyou He, Guangyao Xu, Chaohua Sheng, Bo Xu, Quan Zou
2019	J	`jnl`	Correlation-Based Community Detection. CoRR Zheng Chen, Zengyou He, Hao Liang, Can Zhao, Yan Liu
2019	J	`jnl`	Instance-Based Classification through Hypothesis Testing. CoRR Zengyou He, Chaohua Sheng, Yan Liu, Quan Zou
2019	J	`jnl`	Mining conditional discriminative sequential patterns. Inf. Sci. Zengyou He, Simeng Zhang, Feiyang Gu, Jun Wu
2019	J	`jnl`	Reference-Based Sequence Classification. CoRR Zengyou He, Guangyao Xu, Chaohua Sheng, Bo Xu, Quan Zou
2019	J	`jnl`	Reinforce: An Ensemble Approach for Inferring PPI Network from AP-MS Data. IEEE ACM Trans. Comput. Biol. Bioinform. Bo Tian, Qiong Duan, Can Zhao, Ben Teng, Zengyou He
2019	J	`jnl`	Significance-based discriminative sequential pattern mining. Expert Syst. Appl. Zengyou He, Simeng Zhang, Jun Wu
2019	J	`jnl`	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 Zheng Chen, Bo Tian, Zengyou He
2018	J	`jnl`	Detecting Statistically Significant Communities. CoRR Zengyou He, Hao Liang, Zheng Chen, Can Zhao
2018	J	`jnl`	On the statistical significance of protein complex. Quant. Biol. Youfu Su, Can Zhao, Zheng Chen, Bo Tian, Zengyou He
2018	—	`conf`	PCM: A Pairwise Correlation Mining Package for Biological Network Inference. ICIC (2) Hao Liang, Feiyang Gu, Chaohua Sheng, Qiong Duan, Bo Tian, Jun Wu, Bo Xu, Zengyou He
2018	J	`jnl`	Protein complexes identification based on go attributed network embedding. BMC Bioinform. Bo Xu, Kun Li, Wei Zheng, Xiaoxia Liu, Yijia Zhang, Zhehuan Zhao, Zengyou He
2018	—	`conf`	RPML: A Learning-Based Approach for Reranking Protein-Spectrum Matches. ICIC (1) Qiong Duan, Hao Liang, Chaohua Sheng, Jun Wu, Bo Xu, Zengyou He
2017	J	`jnl`	A two-step framework for inferring direct protein-protein interaction network from AP-MS data. BMC Syst. Biol. Bo Tian, Can Zhao, Feiyang Gu, Zengyou He
2017	J	`jnl`	Conditional discriminative pattern mining: Concepts and algorithms. Inf. Sci. Zengyou He, Feiyang Gu, Can Zhao, Xiaoqing Liu, Jun Wu, Ju Wang
2017	J	`jnl`	Inferring MicroRNA-Disease Associations by Random Walk on a Heterogeneous Network with Multiple Data Sources. IEEE ACM Trans. Comput. Biol. Bioinform. Yuansheng Liu, Xiangxiang Zeng, Zengyou He, Quan Zou
2016	J	`jnl`	Computing exact permutation p-values for association rules. Inf. Sci. Jun Wu, Zengyou He, Feiyang Gu, Xiaoqing Liu, Jianyu Zhou, Can Yang
2016	J	`jnl`	Protein inference: A protein quantification perspective. Comput. Biol. Chem. Zengyou He, Ting Huang, Xiaoqing Liu, Peijun Zhu, Ben Teng, Shengchun Deng
2015	—	`conf`	A Semi-Supervised Framework for Social Spammer Detection. PAKDD (2) Zhaoxing Li, Xianchao Zhang, Hua Shen, Wenxin Liang, Zengyou He
2015	J	`jnl`	BagReg: Protein inference through machine learning. Comput. Biol. Chem. Can Zhao, Dao Liu, Ben Teng, Zengyou He
2015	J	`jnl`	Discriminative pattern mining and its applications in bioinformatics. Briefings Bioinform. Xiaoqing Liu, Jun Wu, Feiyang Gu, Jie Wang, Zengyou He
2015	—	`conf`	High Dimensional Explicit Feature Biased Matrix Factorization Recommendation. PAKDD Workshops Weibin Sun, Xianchao Zhang, Wenxin Liang, Zengyou He
2015	J	`jnl`	Network inference from AP-MS data: computational challenges and solutions. Briefings Bioinform. Ben Teng, Can Zhao, Xiaoqing Liu, Zengyou He
2014	J	`jnl`	Data construction for phosphorylation site prediction. Briefings Bioinform. Haipeng Gong, Xiaoqing Liu, Jun Wu, Zengyou He
2014	J	`jnl`	Decoy-free protein-level false discovery rate estimation. Bioinform. Ben Teng, Ting Huang, Zengyou He
2014	J	`jnl`	Improved and Promising Identificationof Human MicroRNAs by Incorporatinga High-Quality Negative Set. IEEE ACM Trans. Comput. Biol. Bioinform. Leyi Wei, Minghong Liao, Yue Gao, Rongrong Ji, Zengyou He, Quan Zou
2014	J	`jnl`	Mining Conditional Phosphorylation Motifs. IEEE ACM Trans. Comput. Biol. Bioinform. Xiaoqing Liu, Jun Wu, Haipeng Gong, Shengchun Deng, Zengyou He
2013	J	`jnl`	A Combinatorial Perspective of the Protein Inference Problem. IEEE ACM Trans. Comput. Biol. Bioinform. Chao Yang, Zengyou He, Weichuan Yu
2013	J	`jnl`	ProteinLasso: A Lasso regression approach to protein inference problem in shotgun proteomics. Comput. Biol. Chem. Ting Huang, Haipeng Gong, Can Yang, Zengyou He
2012	J	`jnl`	A linear programming model for protein inference problem in shotgun proteomics. Bioinform. Ting Huang, Zengyou He
2012	J	`jnl`	Comments on 'MMFPh: A Maximal Motif Finder for Phosphoproteomics Datasets'. Bioinform. Zengyou He, Haipeng Gong
2012	J	`jnl`	On unbiased performance evaluation for protein inference CoRR Zengyou He, Ting Huang, Peijun Zhu
2012	J	`jnl`	Peptide Reranking with Protein-Peptide Correspondence and Precursor Peak Intensity Information. IEEE ACM Trans. Comput. Biol. Bioinform. Chao Yang, Zengyou He, Can Yang, Weichuan Yu
2012	J	`jnl`	Protein Inference and Protein Quantification: Two Sides of the Same Coin CoRR Ting Huang, Peijun Zhu, Zengyou He
2012	J	`jnl`	Protein inference: a review. Briefings Bioinform. Ting Huang, Jingjing Wang, Weichuan Yu, Zengyou He
2011	J	`jnl`	A Partial Set Covering Model for Protein Mixture Identification Using Mass Spectrometry Data. IEEE ACM Trans. Comput. Biol. Bioinform. Zengyou He, Can Yang, Weichuan Yu
2011	J	`jnl`	Attribute value weighting in k-modes clustering. Expert Syst. Appl. Zengyou He, Xiaofei Xu, Shengchun Deng
2011	J	`jnl`	Clustering categorical data streams. J. Comput. Methods Sci. Eng. Zengyou He, Xiaofei Xu, Shengchun Deng, Joshua Zhexue Huang
2011	J	`jnl`	Motif-All: discovering all phosphorylation motifs. BMC Bioinform. Zengyou He, Can Yang, Guangyu Guo, Ning Li, Weichuan Yu
2011	J	`jnl`	Score regularization for peptide identification. BMC Bioinform. Zengyou He, Hongyu Zhao, Weichuan Yu
2011	J	`jnl`	The choice of null distributions for detecting gene-gene interactions in genome-wide association studies. BMC Bioinform. Can Yang, Xiang Wan, Zengyou He, Qiang Yang, Hong Xue, Weichuan Yu
2010	J	`jnl`	Efficient K-Nearest Neighbor Join Algorithms for High Dimensional Sparse Data CoRR Jijie Wang, Lei Lin, Ting Huang, Jingjing Wang, Zengyou He
2010	J	`jnl`	G-ANMI: A mutual information based genetic clustering algorithm for categorical data. Knowl. Based Syst. Shengchun Deng, Zengyou He, Xiaofei Xu
2010	J	`jnl`	Optimization-Based Peptide Mass Fingerprinting for Protein Mixture Identification. J. Comput. Biol. Zengyou He, Chao Yang, Can Yang, Robert Z. Qi, Jason Po-Ming Tam, Weichuan Yu
2010	J	`jnl`	Stable Feature Selection for Biomarker Discovery CoRR Zengyou He, Weichuan Yu
2010	J	`jnl`	Stable feature selection for biomarker discovery. Comput. Biol. Chem. Zengyou He, Weichuan Yu
2009	J	`jnl`	Comparison of public peak detection algorithms for MALDI mass spectrometry data analysis. BMC Bioinform. Chao Yang, Zengyou He, Weichuan Yu
2009	C	`conf`	Dynamic Self-configuration of User QoS for Next Generation Network. NPC Guangsheng Feng, Huiqiang Wang, Bingyang Li, Zengyou He
2009	J	`jnl`	Improving peptide identification with single-stage mass spectrum peaks. Bioinform. Zengyou He, Weichuan Yu
2009	B	`conf`	Optimization-Based Peptide Mass Fingerprinting for Protein Mixture Identification. RECOMB Zengyou He, Chao Yang, Can Yang, Robert Z. Qi, Jason Po-Ming Tam, Weichuan Yu
2009	J	`jnl`	SNPHarvester: a filtering-based approach for detecting epistatic interactions in genome-wide association studies. Bioinform. Can Yang, Zengyou He, Xiang Wan, Qiang Yang, Hong Xue, Weichuan Yu
2008	J	`jnl`	A SCOR Reference Model of the Supply Chain Management System in an Enterprise. Int. Arab J. Inf. Technol. Danish Irfan, Xiaofei Xu, Shengchun Deng, Zengyou He
2008	J	`jnl`	Peak bagging for peptide mass fingerprinting. Bioinform. Zengyou He, Can Yang, Weichuan Yu
2008	J	`jnl`	k-ANMI: A mutual information based clustering algorithm for categorical data. Inf. Fusion Zengyou He, Xiaofei Xu, Shengchun Deng
2007	J	`jnl`	Attribute Value Weighting in K-Modes Clustering CoRR Zengyou He, Xiaofei Xu, Shengchun Deng
2007	Misc	`conf`	K-means Clustering - A Survey. IKE Danish Irfan, Xiaofei Xu, Shengchun Deng, Zengyou He
2007	J	`jnl`	On the Impact of Dissimilarity Measure in k-Modes Clustering Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. Michael K. Ng, Mark Junjie Li, Joshua Zhexue Huang, Zengyou He
2006	B	`conf`	A Fast Greedy Algorithm for Outlier Mining. PAKDD Zengyou He, Shengchun Deng, Xiaofei Xu, Joshua Zhexue Huang
2006	—	`conf`	Approximation Algorithms for ICIC (2) Zengyou He, Shengchun Deng, Xiaofei Xu
2006	J	`jnl`	Approximation Algorithms for K-Modes Clustering CoRR Zengyou He
2006	J	`jnl`	Farthest-Point Heuristic based Initialization Methods for K-Modes Clustering CoRR Zengyou He
2006	J	`jnl`	Improving categorical data clustering algorithm by weighting uncommon attribute value matches. Comput. Sci. Inf. Syst. Zengyou He, Xiaofei Xu, Shengchun Deng
2006	J	`jnl`	Mining top-k strongly correlated item pairs without minimum correlation threshold. Int. J. Knowl. Based Intell. Eng. Syst. Zengyou He, Xiaofei Xu, Shengchun Deng
2005	J	`jnl`	A Fast Greedy Algorithm for Outlier Mining CoRR Zengyou He, Xiaofei Xu, Shengchun Deng
2005	J	`jnl`	A Unified Subspace Outlier Ensemble Framework for Outlier Detection in High Dimensional Spaces CoRR Zengyou He, Xiaofei Xu, Shengchun Deng
2005	—	`conf`	A Unified Subspace Outlier Ensemble Framework for Outlier Detection. WAIM Zengyou He, Shengchun Deng, Xiaofei Xu
2005	J	`jnl`	A cluster ensemble method for clustering categorical data. Inf. Fusion Zengyou He, Xiaofei Xu, Shengchun Deng
2005	—	`conf`	An FP-Tree Based Approach for Mining All Strongly Correlated Item Pairs. CIS (1) Zengyou He, Shengchun Deng, Xiaofei Xu
2005	J	`jnl`	An Optimization Model for Outlier Detection in Categorical Data CoRR Zengyou He, Xiaofei Xu, Shengchun Deng
2005	—	`conf`	An Optimization Model for Outlier Detection in Categorical Data. ICIC (1) Zengyou He, Shengchun Deng, Xiaofei Xu
2005	J	`jnl`	Clustering Mixed Numeric and Categorical Data: A Cluster Ensemble Approach CoRR Zengyou He, Xiaofei Xu, Shengchun Deng
2005	J	`jnl`	Data Mining for Actionable Knowledge: A Survey CoRR Zengyou He, Xiaofei Xu, Shengchun Deng
2005	J	`jnl`	FP-outlier: Frequent pattern based outlier detection. Comput. Sci. Inf. Syst. Zengyou He, Xiaofei Xu, Joshua Zhexue Huang, Shengchun Deng
2005	—	`conf`	Improving K-Modes Algorithm Considering Frequencies of Attribute Values in Mode. CIS (1) Zengyou He, Shengchun Deng, Xiaofei Xu
2005	J	`jnl`	K-ANMI: A Mutual Information Based Clustering Algorithm for Categorical Data CoRR Zengyou He, Xiaofei Xu, Shengchun Deng
2005	J	`jnl`	K-Histograms: An Efficient Clustering Algorithm for Categorical Dataset CoRR Zengyou He, Xiaofei Xu, Shengchun Deng, Bin Dong
2005	J	`jnl`	Mining Top-k Approximate Frequent Patterns CoRR Zengyou He
2005	J	`jnl`	Mining action rules from scratch. Expert Syst. Appl. Zengyou He, Xiaofei Xu, Shengchun Deng, Ronghua Ma
2005	J	`jnl`	Scalable algorithms for clustering large datasets with mixed type attributes. Int. J. Intell. Syst. Zengyou He, Xiaofei Xu, Shengchun Deng
2005	J	`jnl`	TCSOM: Clustering Transactions Using Self-Organizing Map. Neural Process. Lett. Zengyou He, Xiaofei Xu, Shengchun Deng
2004	J	`jnl`	A FP-Tree Based Approach for Mining All Strongly Correlated Pairs without Candidate Generation CoRR Zengyou He, Xiaofei Xu, Shengchun Deng
2004	—	`conf`	A Frequent Pattern Discovery Method for Outlier Detection. WAIM Zengyou He, Xiaofei Xu, Joshua Zhexue Huang, Shengchun Deng
2004	J	`jnl`	A Link Clustering Based Approach for Clustering Categorical Data CoRR Zengyou He, Xiaofei Xu, Shengchun Deng
2004	J	`jnl`	Clustering Categorical Data Streams CoRR Zengyou He, Xiaofei Xu, Shengchun Deng, Joshua Zhexue Huang
2004	—	`conf`	Mining Class Outliers: Concepts, Algorithms and Applications. WAIM Zengyou He, Joshua Zhexue Huang, Xiaofei Xu, Shengchun Deng
2004	J	`jnl`	Mining class outliers: concepts, algorithms and applications in CRM. Expert Syst. Appl. Zengyou He, Xiaofei Xu, Joshua Zhexue Huang, Shengchun Deng
2004	J	`jnl`	Modeling Complex Higher Order Patterns CoRR Zengyou He, Xiaofei Xu, Shengchun Deng
2003	J	`jnl`	Discovering cluster-based local outliers. Pattern Recognit. Lett. Zengyou He, Xiaofei Xu, Shengchun Deng
2002	—	`conf`	Outlier Detection Integrating Semantic Knowledge. WAIM Zengyou He, Shengchun Deng, Xiaofei Xu
2002	J	`jnl`	Squeezer: An Efficient Algorithm for Clustering Categorical Data. J. Comput. Sci. Technol. Zengyou He, Xiaofei Xu, Shengchun Deng