Shichao Zhang

Shichao Zhang, Yisheng Dong, Zhuoming Xu, 2006, 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings)(WI'06).

POP algorithm: Kernel-based imputation to treat missing values in knowledge discovery from databases

Chengqi Zhang, Xiaofeng Zhu, Shichao Zhang, 2009, Expert Syst. Appl..

A Partial-Repeatability Approach to Data Mining

Kai-Yuan Cai, Shichao Zhang, Yunfei Yin, 2005, IEEE Intell. Informatics Bull..

Unsupervised Spectral Feature Selection with Local Structure Learning

Shichao Zhang, Yonggang Li, Rongyao Hu, 2017, 2017 IEEE International Conference on Big Knowledge (ICBK).

Propagating temporal relations of intervals by matrix

Chengqi Zhang, Shichao Zhang, Chengqi Zhang, 2002, Appl. Artif. Intell..

Robust Perceptual Image Hashing Based on Ring Partition and NMF

Shichao Zhang, Zhenjun Tang, Xianquan Zhang, 2014, IEEE Transactions on Knowledge and Data Engineering.

Cost-sensitive classification with inadequate labeled data

Chengqi Zhang, Tao Wang, Shichao Zhang, 2012, Inf. Syst..

"Missing is useful": missing values in cost-sensitive decision trees

Shichao Zhang, Charles X. Ling, Shengli Sheng, 2005, IEEE Transactions on Knowledge and Data Engineering.

Multi-view multi-sparsity kernel reconstruction for multi-class image classification

Xiaofeng Zhu, Shichao Zhang, Yonghua Zhu, 2015, Neurocomputing.

Classifying Incomplete Data Using Group Difference Detection with Parimputation Approach

Shichao Zhang, Jilian Zhang, 2012, Int. J. Softw. Informatics.

Collecting Quality Data for Database Mining

Chengqi Zhang, Shichao Zhang, Chengqi Zhang, 2001, Australian Joint Conference on Artificial Intelligence.

Supervised Feature Selection by Robust Sparse Reduced-Rank Regression

Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, 2016, ADMA.

Identifying Interesting Patterns in Multidatabases

Chengqi Zhang, Jeffrey Xu Yu, Shichao Zhang, 2005, Classification and Clustering for Knowledge Discovery.

Feature Selection by Joint Graph Sparse Coding

Xindong Wu, Xiaofeng Zhu, Shichao Zhang, 2013, SDM.

A NEW SUPERVISED FEATURE SELECTION METHOD FOR PATTERN CLASSIFICATION

Xindong Wu, Shichao Zhang, Huawen Liu, 2014, Comput. Intell..

Decision tree classifiers sensitive to heterogeneous costs

Shichao Zhang, Shichao Zhang, 2012, J. Syst. Softw..

ENDL: A Logical Framework for Verifying Secure Transaction Protocols

Chengqi Zhang, Shichao Zhang, Qingfeng Chen, 2003, Knowledge and Information Systems.

A Verification Model for Electronic Transaction Protocols

Chengqi Zhang, Shichao Zhang, Qingfeng Chen, 2004, APWeb.

Sparse sample self-representation for subspace clustering

Shichao Zhang, Lifeng Yang, Ming Zong, 2016, Neural Computing and Applications.

Dealing with Inconsistent Secure Messages

Shichao Zhang, Qingfeng Chen, 2004, PRICAI.

Missing data imputation by utilizing information within incomplete instances

Xiaofeng Zhu, Shichao Zhang, Zhi Jin, 2011, J. Syst. Softw..

ON DATA STRUCTURES FOR ASSOCIATION RULE DISCOVERY

Chengqi Zhang, Shichao Zhang, Xiaowei Yan, 2007, Appl. Artif. Intell..

An efficient strategy for mining exceptions in multi-databases

Chengqi Zhang, Jeffrey Xu Yu, Shichao Zhang, 2004, Inf. Sci..

Learning Instance Correlation Functions for Multilabel Classification

Xuelong Li, Shichao Zhang, Huawen Liu, 2017, IEEE Transactions on Cybernetics.

Efficient missing data imputation for supervised learning

Xindong Wu, Shichao Zhang, Manlong Zhu, 2010, 9th IEEE International Conference on Cognitive Informatics (ICCI'10).

Cost-Sensitive Decision Trees with Multiple Cost Scales

Chengqi Zhang, Shichao Zhang, Zhenxing Qin, 2004, Australian Conference on Artificial Intelligence.

Unsupervised Hypergraph Feature Selection with Low-Rank and Self-Representation Constraints

Xiaofeng Zhu, Shichao Zhang, Yonghua Zhu, 2016, ADMA.

Decision trees with minimal costs

Qiang Yang, Shichao Zhang, Charles X. Ling, 2004, ICML.

Clustering Web Documents Based on Knowledge Granularity

Faliang Huang, Shichao Zhang, 2006, APWeb.

Optimized Parameters for Missing Data Imputation

Chengqi Zhang, Xiaofeng Zhu, Shichao Zhang, 2006, PRICAI.

ARMGA: IDENTIFYING INTERESTING ASSOCIATION RULES WITH GENETIC ALGORITHMS

Chengqi Zhang, Shichao Zhang, Xiaowei Yan, 2005, Appl. Artif. Intell..

A decremental algorithm of frequent itemset maintenance for mining updated databases

Shichao Zhang, Jilian Zhang, Zhi Jin, 2009, Expert Syst. Appl..

Post-mining: maintenance of association rules by weighting

Chengqi Zhang, Shichao Zhang, Xiaowei Yan, 2003, Inf. Syst..

MINING DEPENDENT PATTERNS IN PROBABILISTIC DATABASES

Chengqi Zhang, Jeffrey Xu Yu, Shichao Zhang, 2004, Cybern. Syst..

An norm-driven state machine model for CSCW systems

Shichao Zhang, Jiang-Ming Yang, Ning Gu, 2006, Expert Syst. Appl..

Combining kNN Imputation and Bootstrap Calibrated: Empirical Likelihood for Incomplete Data Analysis

Chengqi Zhang, Shichao Zhang, Yongsong Qin, 2010, Int. J. Data Warehous. Min..

Weighting imputation methods and their evaluation under shell-neighbor machine

Shichao Zhang, Manlong Zhu, Shichao Zhang, 2010, 9th IEEE International Conference on Cognitive Informatics (ICCI'10).

A New Multi-label Learning Algorithm Using Shelly Neighbors

Jianmin Zhao, Shichao Zhang, Huawen Liu, 2012, ADMA.

Identifying bridging rules between conceptual clusters

Xindong Wu, Chengqi Zhang, Shichao Zhang, 2006, KDD '06.

Cooperative strategy for web data mining and cleaning

Yuefeng Li, Chengqi Zhang, Shichao Zhang, 2003, Appl. Artif. Intell..

Kernel-Based Multi-Imputation for Missing Data

Chengqi Zhang, Xiaofeng Zhu, Shichao Zhang, 2006, AMT.

Low-rank unsupervised graph feature selection via feature self-representation

Xiaofeng Zhu, Shichao Zhang, Wei He, 2017, Multimedia Tools and Applications.

Memory Performance Prediction of Web Server Applications Based on Grey System Theory

Faliang Huang, Shichao Zhang, Zhi Zhong, 2012, APWeb.

Low-rank feature selection for multi-view regression

Shichao Zhang, Jilian Zhang, Yonghua Zhu, 2017, Multimedia Tools and Applications.

Verifying the Purchase Request in SET Protocol

Chengqi Zhang, Shichao Zhang, Qingfeng Chen, 2003, APWeb.

Clustering web documents using hierarchical representation with multi-granularity

Xindong Wu, Faliang Huang, Shichao Zhang, 2012, World Wide Web.

A model for compressing probabilities in belief networks

Chengqi Zhang, Shichao Zhang, 2001, Informatica.

A framework for merging inconsistent beliefs in security protocol analysis

Chengqi Zhang, Shichao Zhang, Qingfeng Chen, 2005, International Workshop on Data Engineering Issues in E-Commerce.

Discovery of Tampered Image with Robust Hashing

Shichao Zhang, Zhenjun Tang, Xianquan Zhang, 2014, ADMA.

GBKII: An Imputation Method for Missing Values

Chengqi Zhang, Xiaofeng Zhu, Shichao Zhang, 2007, PAKDD.

Identifying Approximate Itemsets of Interest in Large Databases

Geoffrey I. Webb, Chengqi Zhang, Shichao Zhang, 2004, Applied Intelligence.

Editorial: Special issue on mining low-quality data

Taghi M. Khoshgoftaar, Ian Davidson, Shichao Zhang, 2007, Knowledge and Information Systems.

Knowledge Engineering with Big Data

Xindong Wu, Qinghua Zheng, Huanhuan Chen, 2015, IEEE Intell. Syst..

An agent-based hybrid framework for database mining

Zili Zhang, Chengqi Zhang, Shichao Zhang, 2003, Appl. Artif. Intell..

Self-representation nearest neighbor search for classification

Shichao Zhang, Lianli Gao, Ming Zong, 2016, Neurocomputing.

Efficient subspace clustering based on self-representation and grouping effect

Shichao Zhang, Lifeng Yang, Debo Cheng, 2016, Neural Computing and Applications.

A Temporal Logic for Supporting Historical Databases

Shichao Zhang, Shichao Zhang, 2000, Knowledge and Information Systems.

A Database-Independent Strategy for Confidence Determination

Chengqi Zhang, Shichao Zhang, Xiaowei Yan, 2003, SEKE.

Feature selection by combining subspace learning with sparse representation

Shichao Zhang, Ming Zong, Debo Cheng, 2017, Multimedia Systems.

A Database-Independent Approach of Mining Association Rules with Genetic Algorithm

Chengqi Zhang, Shichao Zhang, Xiaowei Yan, 2003, IDEAL.

Efficient kNN Algorithm Based on Graph Sparse Reconstruction

Yue Liu, Shichao Zhang, Ming Zong, 2014, ADMA.

Information enhancement for data mining

Shichao Zhang, Shichao Zhang, 2011, WIREs Data Mining Knowl. Discov..

Robust Image Hashing With Ring Partition and Invariant Vector Distance

Shichao Zhang, Zhenjun Tang, Xianquan Zhang, 2016, IEEE Transactions on Information Forensics and Security.

Efficient kNN classification algorithm for big data

Shichao Zhang, Debo Cheng, Zhenyun Deng, 2016, Neurocomputing.

OSM: an organizational state machine model for CSCW systems

Shichao Zhang, Ning Gu, Yinjun Xu, 2005, Proceedings of the Ninth International Conference on Computer Supported Cooperative Work in Design, 2005..

Unsupervised feature selection for visual classification via feature-representation property

Xiaofeng Zhu, Shichao Zhang, Wei He, 2017, Neurocomputing.

Synthesizing High-Frequency Rules from Different Data Sources

Xindong Wu, Shichao Zhang, Xindong Wu, 2003, IEEE Trans. Knowl. Data Eng..

Mining Both Positive and Negative Association Rules

Xindong Wu, Chengqi Zhang, Shichao Zhang, 2002, ICML.

Multiple-scale cost sensitive decision tree learning

Shichao Zhang, 2018, World Wide Web.

Guest Editors' Introduction: Information Enhancement for Data Mining

Chengqi Zhang, Qiang Yang, Shichao Zhang, 2004, IEEE Intell. Syst..

Identifying Global Exceptional Patterns in Multi-database Mining

Chengqi Zhang, Shichao Zhang, Meiling Liu, 2004, IEEE Intell. Informatics Bull..

A novel kNN algorithm with data-driven k parameter computation

Shichao Zhang, Ming Zong, Debo Cheng, 2017, Pattern Recognit. Lett..

Missing Data Analysis: A Kernel-Based Multi-Imputation Approach

Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, 2009, Trans. Comput. Sci..

Missing or absent? A Question in Cost-sensitive Decision Tree

Chengqi Zhang, Shichao Zhang, Zhenxing Qin, 2006, AMT.

Mining class-bridge rules based on rough sets

Shichao Zhang, Ruili Wang, Zhi Jin, 2009, Expert Syst. Appl..

Block-Row Sparse Multiview Multilabel Learning for Image Classification

Xuelong Li, Xiaofeng Zhu, Shichao Zhang, 2016, IEEE Transactions on Cybernetics.

Association Rule Mining

Chengqi Zhang, Shichao Zhang, Chengqi Zhang, 2002, Lecture Notes in Computer Science.

Graph PCA Hashing for Similarity Search

Xuelong Li, Xiaofeng Zhu, Zongben Xu, 2017, IEEE Transactions on Multimedia.

Mining Very Large Databases Using Software Agents

Chengqi Zhang, Shichao Zhang, Xiaowei Yan, 2002, ICMLA.

Identifying Software Component Association With Genetic Algorithm

Chengqi Zhang, Shichao Zhang, Xiaowei Yan, 2004, Int. J. Softw. Eng. Knowl. Eng..

Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection

Shichao Zhang, Xuelong Li, Xiaofeng Zhu, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Graph self-representation method for unsupervised feature selection

Xiaofeng Zhu, Shichao Zhang, Jingkuan Song, 2017, Neurocomputing.

kNN Algorithm with Data-Driven k Value

Shichao Zhang, Yonghua Zhu, Ming Zong, 2014, ADMA.

Leverage triple relational structures via low-rank feature reduction for multi-output regression

Shichao Zhang, Lifeng Yang, Debo Cheng, 2017, Multimedia Tools and Applications.

A fuzzy logic based method to acquire user threshold of minimum-support for mining association rules

Chengqi Zhang, Shichao Zhang, Jingli Lu, 2004, Inf. Sci..

Efficient Attribute Reduction Based on Discernibility Matrix

Bingru Yang, Chengqi Zhang, Wei Song, 2007, RSKT.

Mining small databases by collecting knowledge

Chengqi Zhang, Shichao Zhang, 2001, Proceedings Seventh International Conference on Database Systems for Advanced Applications. DASFAA 2001.

Unsupervised Feature Selection via Local Structure Learning and Self-Representation

Shichao Zhang, Rongyao Hu, Xiaoyi Hu, 2017, 2017 IEEE International Conference on Big Knowledge (ICBK).

Fundamentals of association rules in data mining and knowledge discovery

Xindong Wu, Shichao Zhang, Xindong Wu, 2011, Wiley Interdiscip. Rev. Data Min. Knowl. Discov..

Detecting Collusion Attacks in Security Protocols

Shichao Zhang, Chengqi Zhang, Yi-Ping Phoebe Chen, 2006, APWeb.

Rule-based dependency models for security protocol analysis

Shichao Zhang, Qingfeng Chen, Yi-Ping Phoebe Chen, 2008, Integr. Comput. Aided Eng..

Computing the minimum-support for mining frequent patterns

Xindong Wu, Chengqi Zhang, Shichao Zhang, 2008, Knowledge and Information Systems.

Shell-neighbor method and its application in missing data imputation

Shichao Zhang, Shichao Zhang, 2011, Applied Intelligence.

A Probability Data Model and its Semantics

Chengqi Zhang, Shichao Zhang, 2003, J. Res. Pract. Inf. Technol..

Mining globally interesting patterns from multiple databases using kernel estimation

Xindong Wu, Shichao Zhang, Zhi Jin, 2009, Expert Syst. Appl..

Dealing with inconsistent secure messages by weighting majority

Shichao Zhang, Qingfeng Chen, Zhi Zhong, 2011, Knowl. Based Syst..

Bi-directional double auction for financial market simulation

Anikó Ekárt, Shichao Zhang, Xudong Luo, 2013, AAMAS.

GridSM: a Norm-driven State Machine Model of Grid Workflow

Shichao Zhang, Jiang-Ming Yang, Ning Gu, 2006, 2006 10th International Conference on Computer Supported Cooperative Work in Design.

CONFIDENCE METRICS FOR ASSOCIATION RULE MINING

Chengqi Zhang, Shichao Zhang, Xiaowei Yan, 2009, Appl. Artif. Intell..

Neighbor selection for multilabel classification

Xindong Wu, Shichao Zhang, Huawen Liu, 2016, Neurocomputing.

Identifying Exceptional Patterns in Multi-Databases

Chengqi Zhang, Shichao Zhang, Zhenxing Qin, 2002, FSKD.

Discovering Interesting Association Rules by Clustering

Chengqi Zhang, Yanchang Zhao, Shichao Zhang, 2004, Australian Conference on Artificial Intelligence.

Image hashing with color vector angle

Xuelong Li, Shichao Zhang, Zhenjun Tang, 2018, Neurocomputing.

Pattern Discovery in Probabilistic Databases

Chengqi Zhang, Shichao Zhang, 2001, Australian Joint Conference on Artificial Intelligence.

Overlapping Community Detection for Multimedia Social Networks

Xuelong Li, Faliang Huang, Shichao Zhang, 2017, IEEE Transactions on Multimedia.

Toward databases mining: Pre-processing collected data

Chengqi Zhang, Shichao Zhang, Xiaowei Yan, 2003, Appl. Artif. Intell..

Spectral clustering via half-quadratic optimization

Shichao Zhang, Xiaofeng Zhu, Jiangzhang Gan, 2019, World Wide Web.

Efficient mining of both positive and negative association rules

Xindong Wu, Chengqi Zhang, Shichao Zhang, 2004, TOIS.

Supervised Feature Selection Algorithm Based on Low-Rank and Manifold Learning

Shichao Zhang, Jilian Zhang, Xiaoyi Hu, 2017, ADMA.

Database classification for multi-database mining

Xindong Wu, Chengqi Zhang, Shichao Zhang, 2005, Inf. Syst..

MLSLR: Multilabel Learning via Sparse Logistic Regression

Xindong Wu, Shichao Zhang, Huawen Liu, 2014, Inf. Sci..

Sequential Pattern Learning via Kernel Alignment

Yuan Yan Tang, Ah Chung Tsoi, Shichao Zhang, 2019, 2019 Eleventh International Conference on Advanced Computational Intelligence (ICACI).

Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, 2013, ADMA.

A New Classification Algorithm Using Mutual Nearest Neighbors

Jianming Zhao, Shichao Zhang, Huawen Liu, 2010, 2010 Ninth International Conference on Grid and Cloud Computing.

Multi-Database Mining

Xindong Wu, Chengqi Zhang, Shichao Zhang, 2003, IEEE Intell. Informatics Bull..

Low-Rank Feature Reduction and Sample Selection for Multi-output Regression

Xiaofeng Zhu, Shichao Zhang, Lifeng Yang, 2016, ADMA.

Enhancing grid-density based clustering for high dimensional data

Chengqi Zhang, Yanchang Zhao, Shichao Zhang, 2011, J. Syst. Softw..

Discovering causality in large databases

Chengqi Zhang, Shichao Zhang, Chengqi Zhang, 2002, Appl. Artif. Intell..

Mixed-Norm Regression for Visual Classification

Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, 2013, ADMA.

Anytime mining for multiuser applications

Chengqi Zhang, Shichao Zhang, Chengqi Zhang, 2002, IEEE Trans. Syst. Man Cybern. Part A.

Anytime algorithm for agent-mediated merchant information gathering

Shichao Zhang, Pradeep K. Khosla, Xiao Feng Wang, 2000, AGENTS '00.

Estimating confidence intervals for structural differences between contrast groups with missing data

Chengqi Zhang, Xiaofeng Zhu, Shichao Zhang, 2009, Expert Syst. Appl..

Large scale data mining based on data partitioning

Xindong Wu, Shichao Zhang, Xindong Wu, 2001, Appl. Artif. Intell..

Secure Transaction Protocol Analysis: Models and Applications

Chengqi Zhang, Shichao Zhang, Qingfeng Chen, 2008, Lecture Notes in Computer Science.

Strategies for complex data cube queries

Shichao Zhang, Zhi Jin, Rifeng Wang, 2008, Applied Intelligence.

Missing Value Estimation for Mixed-Attribute Data Sets

Zili Zhang, Xiaofeng Zhu, Shichao Zhang, 2011, IEEE Transactions on Knowledge and Data Engineering.

Cost-sensitive semi-supervised classification using CS-EM

Li Liu, Tao Wang, Shichao Zhang, 2008, 2008 8th IEEE International Conference on Computer and Information Technology.

Perceptual Image Hashing with Histogram of Color Vector Angles

Shichao Zhang, Zhenjun Tang, Xianquan Zhang, 2012, AMT.

Handling over-fitting in test cost-sensitive decision tree learning by feature selection, smoothing and pruning

Tao Wang, Shichao Zhang, Zhi Jin, 2010, J. Syst. Softw..

Spectral clustering based on hypergraph and self-re-presentation

Qing Xie, Shichao Zhang, Wei He, 2017, Multimedia Tools and Applications.

Hypergraph Spectral Clustering via Sample Self-Representation

Shichao Zhang, Yonggang Li, De-Bo Cheng, 2016, FSDM.

A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases

Xindong Wu, Chengqi Zhang, Shichao Zhang, 2005, DaWaK.

Adaptive Hypergraph Learning for Unsupervised Feature Selection

Xiaofeng Zhu, Shichao Zhang, Yonghua Zhu, 2017, IJCAI.

Measuring the Uncertainty of Differences for Contrasting Groups

Xindong Wu, Chengqi Zhang, Xiaofeng Zhu, 2007, AAAI.

Data Hiding Method Based on Local Image Features

Shichao Zhang, Zhenjun Tang, Xianquan Zhang, 2012, AMT.

Cost-sensitive classification with respect to waiting cost

Shichao Zhang, Shichao Zhang, 2010, Knowl. Based Syst..

Adapting K-Means Algorithm for Discovering Clusters in Subspaces

Chengqi Zhang, Yanchang Zhao, Shichao Zhang, 2006, APWeb.

A Logical Framework for Knowledge Sharing in Multi-agent Systems

Chengqi Zhang, Huaiqing Wang, Kaile Su, 2001, COCOON.

Semi-parametric optimization for missing data imputation

Chengqi Zhang, Xiaofeng Zhu, Shichao Zhang, 2007, Applied Intelligence.

Distributed Frequent Closed Itemsets Mining

Kai-Yuan Cai, Shichao Zhang, Zheng Zheng, 2007, 2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System.

Cost-Sensitive Classification with k-Nearest Neighbors

Chengqi Zhang, Shichao Zhang, Zhenxing Qin, 2013, KSEM.

Estimating itemsets of interest by sampling

Chengqi Zhang, Shichao Zhang, Chengqi Zhang, 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).

Verifying the Payment Authorization in SET Protocol

Chengqi Zhang, Shichao Zhang, Qingfeng Chen, 2003, IDEAL.

Web User Browse Behavior Characteristic Analysis Based on a BC Tree

Shichao Zhang, Dingrong Yuan, 2010, AMT.

Mining Multiple Data Sources: Local Pattern Analysis

Shichao Zhang, Mohammed J. Zaki, 2006, Data Mining and Knowledge Discovery.

Detecting Differences Between Contrast Groups

Shichao Zhang, Shichao Zhang, 2008, IEEE Transactions on Information Technology in Biomedicine.

NIIA: Nonparametric Iterative Imputation Algorithm

Xiaofeng Zhu, Shichao Zhang, Zhi Jin, 2008, PRICAI.

Difference Detection Between Two Contrast Sets

Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, 2006, DaWaK.

Knowledge Discovery in Multiple Databases

Xindong Wu, Chengqi Zhang, Shichao Zhang, 2004, ICTAI.

Identifying interesting visitors through Web log classification

Shichao Zhang, Chengqi Zhang, Yuming Ou, 2005, IEEE Intelligent Systems.

Empirical likelihood confidence intervals for differences between two datasets with missing data

Shichao Zhang, Yongsong Qin, Shichao Zhang, 2008, Pattern Recognit. Lett..

Aggregation of Association Rules

Shichao Zhang, Xindong Wu, Xindong Wu, 1999 .

Association Rule Mining by Agents

Chengqi Zhang, Shichao Zhang, John K. Debenham, 2002, ICMLA.

Penalized partial least square discriminant analysis with l1 for multi-label data

Shichao Zhang, Huawen Liu, Xindong Wu, 2015, Pattern Recognit..

In-Depth Data Mining and Its Application in Stock Market

Chengqi Zhang, Shichao Zhang, 2005, ADMA.

The Optimization and Improvement of MapReduce in Web Data Mining

Shukun Liu, Shichao Zhang, Xiyuan Zhou, 2015, ICA3PP.

Mining bridging rules between conceptual clusters

Xindong Wu, Chengqi Zhang, Shichao Zhang, 2010, Applied Intelligence.

Cost-Sensitive Imputing Missing Values with Ordering

Chengqi Zhang, Xiaofeng Zhu, Shichao Zhang, 2007, AAAI.

Discovering Associations in Very Large Databases by Approximating

Chengqi Zhang, Shichao Zhang, Chengqi Zhang, 2003, Acta Cybern..

Foreword to the special issue on recent advances on pattern recognition and artificial intelligence

Jianping Yin, Shichao Zhang, Xudong Luo, 2018, Neural Computing and Applications.

Unsupervised feature selection by combining subspace learning with feature self-representation

Shichao Zhang, Yonggang Li, Rongyao Hu, 2018, Pattern Recognit. Lett..

Efficient kNN Classification With Different Numbers of Nearest Neighbors

Xiaofeng Zhu, Shichao Zhang, Ruili Wang, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Feature selection using hierarchical feature clustering

Xindong Wu, Shichao Zhang, Huawen Liu, 2011, CIKM '11.

Aggregation and maintenance for database mining

Shichao Zhang, Shichao Zhang, 1999, Intell. Data Anal..

Data Partitioning View of Mining Big Data pdf

Shichao Zhang, 2016, ArXiv.

Identifying Dependency Between Secure Messages for Protocol Analysis

Shichao Zhang, Qingfeng Chen, Yi-Ping Phoebe Chen, 2007, KSEM.

Secure Transaction Protocol Analysis

Shichao Zhang, Chengqi Zhang, Qingfeng Chen, 2009 .

Efficient Computation of Multi-feature Data Cubes

Shichao Zhang, Yanping Guo, Rifeng Wang, 2006, KSEM.

Missing Value Imputation Based on Data Clustering

Chengqi Zhang, Xiaofeng Zhu, Shichao Zhang, 2008, Trans. Comput. Sci..

Genetic algorithm-based strategy for identifying association rules without specifying actual minimum support

Chengqi Zhang, Shichao Zhang, Xiaowei Yan, 2009, Expert Syst. Appl..

Supervised feature selection algorithm via discriminative ridge regression

Shichao Zhang, Debo Cheng, Rongyao Hu, 2017, World Wide Web.

Data preparation for data mining

Chengqi Zhang, Qiang Yang, Shichao Zhang, 2003, Appl. Artif. Intell..

Encoding probability propagation in belief networks

Chengqi Zhang, Shichao Zhang, 2002, IEEE Trans. Syst. Man Cybern. Part A.

The Journal of Systems and Software

Shichao Zhang, Shichao Zhang, hichao Zhanga, 2012 .

A Recent-Biased Dimension Reduction Technique for Time Series Data

Chengqi Zhang, Yanchang Zhao, Shichao Zhang, 2005, PAKDD.

Dynamic Test-Sensitive Decision Trees with Multiple Cost Scales

Chengqi Zhang, Shichao Zhang, Zhenxing Qin, 2005, FSKD.

Mind the Trends When You Mine: Incremental Data Mining

Chengqi Zhang, Shichao Zhang, Zhenxing Qin, 2002, International Conference on Fuzzy Systems and Knowledge Discovery.

Local and Global Structure Preservation for Robust Unsupervised Spectral Feature Selection

Xiaofeng Zhu, Shichao Zhang, Yonghua Zhu, 2018, IEEE Transactions on Knowledge and Data Engineering.

Enhancing DWT for Recent-Biased Dimension Reduction of Time Series Data

Chengqi Zhang, Yanchang Zhao, Shichao Zhang, 2006, Australian Conference on Artificial Intelligence.

Robust Feature Selection on Incomplete Data

Xiaofeng Zhu, Wei Zheng, Shichao Zhang, 2018, IJCAI.

A nearest neighborhood algebra for probabilistic databases

Shichao Zhang, 2000, Intell. Data Anal..

Cost-Time Sensitive Decision Tree with Missing Values

Chengqi Zhang, Xiaofeng Zhu, Shichao Zhang, 2007, KSEM.

Is Frequency Enough for Decision Makers to Make Decisions?

Chengqi Zhang, Jeffrey Xu Yu, Shichao Zhang, 2006, PAKDD.

Robust Graph Dimensionality Reduction

Xiaofeng Zhu, Shichao Zhang, Hao Yu, 2018, IJCAI.

Mining follow-up correlation patterns from time-related databases

Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, 2007, Knowledge and Information Systems.

IMC: A Method for Interval Calculus in Matrix

Chengqi Zhang, Shichao Zhang, 2013, Knowledge and Information Systems.

Identifying frequent terms in text databases by association semantics

Chengqi Zhang, Shichao Zhang, Xiaowei Yan, 2003, Proceedings ITCC 2003. International Conference on Information Technology: Coding and Computing.

Generalized dimension-reduction framework for recent-biased time series analysis

Yanchang Zhao, Shichao Zhang, Shichao Zhang, 2006, IEEE Transactions on Knowledge and Data Engineering.

Noisy data elimination using mutual k-nearest neighbor for classification mining

Shichao Zhang, Huawen Liu, Huawen Liu, 2012, J. Syst. Softw..

A logical framework for identifying quality knowledge from different data sources

Xindong Wu, Kaile Su, Shichao Zhang, 2006, Decis. Support Syst..

PAC-GAN: An Effective Pose Augmentation Scheme for Unsupervised Cross-View Person Re-identification pdf

Shichao Zhang, Lei Zhu, Chengyuan Zhang, 2019, Neurocomputing.

Mining Dynamic databases by Weighting

Li Liu, Shichao Zhang, 2003, Acta Cybern..

Efficient Frequent Itemsets Mining by Sampling

Chengqi Zhang, Yanchang Zhao, Shichao Zhang, 2006, AMT.

Evaluation of Error-Sensitive Attributes

Shichao Zhang, William Wu, 2013, PAKDD Workshops.

Summary queries for frequent itemsets mining

Shichao Zhang, Zhi Jin, Jingli Lu, 2010, J. Syst. Softw..

Identifying Follow-Correlation Itemset-Pairs

Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, 2006, Sixth International Conference on Data Mining (ICDM'06).

KNN Classification With One-Step Computation pdf

Shichao Zhang, Jiaye Li, Shichao Zhang, 2020, IEEE Transactions on Knowledge and Data Engineering.

Challenges in KNN Classification

Shichao Zhang, Shichao Zhang, 2021, IEEE Transactions on Knowledge and Data Engineering.

Z Distance Function for KNN Classification pdf

Shichao Zhang, Jiaye Li, 2021, ArXiv.

Graph-Based Stock Recommendation by Time-Aware Relational Attention Network

Shichao Zhang, Jianliang Gao, Xiaoting Ying, 2021, ACM Trans. Knowl. Discov. Data.

M2GUDA: Multi-Metrics Graph-Based Unsupervised Domain Adaptation for Cross-Modal Hashing

Shichao Zhang, Da Cao, Lei Zhu, 2021, ICMR.

Anomaly Detection With Kernel Preserving Embedding

Shichao Zhang, Huawen Liu, Enhui Li, 2021, ACM Trans. Knowl. Discov. Data.

Editorial deep multi-source data analysis

Shichao Zhang, Yanrong Guo, Qing Xie, 2021, Pattern Recognit. Lett..

Multi-Graph Based Hierarchical Semantic Fusion for Cross-Modal Representation

Shichao Zhang, Yangding Li, Jiayu Song, 2021, 2021 IEEE International Conference on Multimedia and Expo (ICME).

A Probabilistic Data Model and Its Semantics

Chengqi Zhang, Shichao Zhang, Chengqi Zhang, 2004 .

A multi-label classification algorithm based on label-specific features

Jianmin Zhao, Shichao Zhang, Huawen Liu, 2011, Wuhan University Journal of Natural Sciences.

Optimized parameters for missing data imputation

Chengqi Zhang, Shichao Zhang, Yongsong Qin, 2006 .

Clinical patterns of obstructive sleep apnea and its comorbid conditions: a data mining approach.

Shichao Zhang, Zhenxing Qin, Chin Moi Chow, 2008, Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine.