Description and treatment of deadlocks in the Hecodes distributed expert system. - David A. Bell; Chengqi Zhang (IEEE Trans. Syst. Man Cybern., 1990)

Hecodes: a framework for heterogenous cooperative distributed expert systems - Chengqi Zhang (1990)

HECODES: A Framework for Heterogeneous Cooperative Distributed Expert Systems. - Chengqi Zhang; David A. Bell (Data Knowl. Eng., 1991)

Cooperation Under Uncertainty in Distributed Expert Systems. - Chengqi Zhang (Artif. Intell., 1992)

Heterogeneous Transformation of Uncertainties of Propositions Among Inexact Reasoning Models. - Chengqi Zhang (IEEE Trans. Knowl. Data Eng., 1994)

Definition and Application of a Comprehensive Framework for Distributed Problem Solving. - Hongxia Yang; Chengqi Zhang (DAI, 1995)

Neural Network Strategies for Solving Synthesis Problems in Non-conflilct Cases in Distributed Expert Systems. - Minjie Zhang; Chengqi Zhang (DAI, 1995)

The Consensus of Uncertainties in Distributed Expert Systems. - Minjie Zhang; Chengqi Zhang (ICMAS, 1995)

The design and implementation of a knowledge-based communication system in a framework for distributed expert systems. - Chengqi Zhang (IEEE Trans. Commun., 1995)

Application of MAS in Implementing Rational IP Routers on the Priced Internet. - Hongxia Yang; Chengqi Zhang (DAI, 1996)

Methodologies of Solution Synthesis in Distributed Expert Systems. - Minjie Zhang; Chengqi Zhang (DAI, 1996)

An Improved Critical Diagnosis Reasoning Method. - Yue Xu; Chengqi Zhang (ICTAI, 1996)

A Unified Algebraic Structure for Uncertain Reasoning. - Xudong Luo; Chengqi Zhang (PRICAI, 1996)

An Algorithm for Plan Verification in Multiple Agent Systems. - Chengqi Zhang; Yuefeng Li (Agents and Multi-Agent Systems Formalisms, Methodologies, and Applications, 1997)

Transformation between the EMYCIN Model and the Bayesian Network. - Chengqi Zhang; Xudong Luo (Agents and Multi-Agent Systems Formalisms, Methodologies, and Applications, 1997)

The Weighting Issue in Fuzzy Logic. - Xudong Luo; Chengqi Zhang; Jingqiu Cai (Informatica (Slovenia), 1997)

An efficient and practical diagnosis model. - Yue Xu; Chengqi Zhang (ICTAI, 1998)

A Neural Network Diagnosis Model without Disorder Independence Assumption. - Yue Xu; Chengqi Zhang (PRICAI, 1998)

LSLNCF: A Hybrid Uncertain Reasoning Model Based on Probability. - Xudong Luo; Chengqi Zhang (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1998)

Information-Based Cooperation in Multiple Agent Systems. - Yuefeng Li; Chengqi Zhang (Australian Joint Conference on Artificial Intelligence, 1999)

A Serving Agent for Integrating Soft Computing and Software Agents. - Zili Zhang 001; Chengqi Zhang (Australian Joint Conference on Artificial Intelligence, 1999)

A Class of Isomorphic Transformations for Integrating EMYCIN-Style and PROSPECTOR-Style Systems into a Rule-Based Multi-Agent System. - Xudong Luo; Chengqi Zhang; Ho-fung Leung (PRIMA, 1999)

Introduction to the Special Issue on Learning in Intelligent Algorithms and Systems Design. - Chengqi Zhang; Ling Guan; Zheru Chi (J. Adv. Comput. Intell. Intell. Informatics, 1999)

Isomorphic transformations of uncertainties for incorporating EMYCIN-style and PROSPECTOR-style systems into a distributed expert system. - Chengqi Zhang; Xudong Luo (J. Comput. Sci. Technol., 1999)

An Axiom Foundation for Uncertain Reasonings in Rule-Based Expert Systems: NT-Algebra. - Xudong Luo; Chengqi Zhang (Knowl. Inf. Syst., 1999)

IMC: A Method for Interval Calculus in Matrix. - Shichao Zhang 001; Chengqi Zhang (Knowl. Inf. Syst., 1999)

Proof of the Correctness of EMYCIN Sequential Propagation Under Conditional Independence Assumptions. - Xudong Luo; Chengqi Zhang (IEEE Trans. Knowl. Data Eng., 1999)

Potential Cases, Methodologies, and Strategies of Synthesis of Solutions in Distributed Expert Systems. - Minjie Zhang; Chengqi Zhang (IEEE Trans. Knowl. Data Eng., 1999)

Mobile Agents for Admitting New Students to Institutions of China. - Zili Zhang 001; Chengqi Zhang; Bin Li 086 (IS, 2000)

Result Fusion in Multi-Agent Systems Based on OWA Operator. - Zili Zhang 001; Chengqi Zhang (ACSC, 2000)

Agent-Based Risk Learning for Computing Systems. - Xiaofeng Wang; Han Kiliççöte; Pradeep K. Khosla; Chengqi Zhang (ICMAS, 2000)

Building an Ontology for Financial Investment. - Zili Zhang 001; Chengqi Zhang; Swee San Ong (IDEAL, 2000)

Perceiving Environments for Intelligent Agents. - Yuefeng Li; Chengqi Zhang (PRICAI, 2000)

An Agent-Based Soft Computing Society. - Chengqi Zhang; Zili Zhang 001; Ong Swee San (Rough Sets and Current Trends in Computing, 2000)

An information filtering model on the Web and its application in JobAgent. - Yuefeng Li; Chengqi Zhang; Jason R. Swan (Knowl. Based Syst., 2000)

Collecting Quality Data for Database Mining. - Chengqi Zhang; Shichao Zhang 001 (Australian Joint Conference on Artificial Intelligence, 2001)

Pattern Discovery in Probabilistic Databases. - Shichao Zhang 001; Chengqi Zhang (Australian Joint Conference on Artificial Intelligence, 2001)

Reasoning with Multimedia Information Using Symbolic Projection. - Zili Zhang 001; Chengqi Zhang (Australian Joint Conference on Artificial Intelligence, 2001)

Approaches to implementing decision aggregation in multi-agent systems. - Chengqi Zhang; Zili Zhang 001 (CATA, 2001)

Post-processing of multimedia information - concents, problems, and techniques. - Chengqi Zhang; Zili Zhang 001 (CATA, 2001)

A Logical Framework for Knowledge Sharing in Multi-agent Systems. - Kaile Su; Xudong Luo; Huaiqing Wang; Chengqi Zhang; Shichao Zhang 001; Qingfeng Chen (COCOON, 2001)

Mining Small Databases by Collecting Knowledge. - Shichao Zhang 001; Chengqi Zhang (DASFAA, 2001)

Estimating Itemsets of Interst by Sampling. - Shichao Zhang 001; Chengqi Zhang (FUZZ-IEEE, 2001)

Information sharing between heterogeneous uncertain reasoning models in a multi-agent environment: a case study. - Xudong Luo; Chengqi Zhang; Ho-fung Leung (Int. J. Approx. Reason., 2001)

A model for compressing probabilities in belief networks. - Shichao Zhang 001; Chengqi Zhang (Informatica (Slovenia), 2001)

Association Rule Mining, Models and Algorithms - Chengqi Zhang; Shichao Zhang 001 (Springer, 2002)

An Agent-Based Framework for Petroleum Information Services from Distributed Heterogeneous Data Resources. - Chengqi Zhang; Chunsheng Li; Zili Zhang 001 (APSEC, 2002)

An improvement to matchmaking algorithms for middle agents. - Zili Zhang 001; Chengqi Zhang (AAMAS, 2002)

An Application of Fuzzy Cluster analysis to Matchmaking in Middle Agents. - Zili Zhang 001; Chengqi Zhang (FSKD, 2002)

Identifying Exceptional Patterns in Multi-Databases. - Shichao Zhang 001; Chengqi Zhang; Xiaowei Yan; Zhenxing Qin (FSKD, 2002)

Mind the Trends When You Mine: Incremental Data Mining. - Chengqi Zhang; Shichao Zhang 001; Xiaowei Yan; Zhenxing Qin (FSKD, 2002)

Database clustering for mining multi-databases. - Chengqi Zhang; Shichao Zhang 001 (FUZZ-IEEE, 2002)

Mining Both Positive and Negative Association Rules. - Xindong Wu 001; Chengqi Zhang; Shichao Zhang 001 (ICML, 2002)

Association Rule Mining by Agents. - Xiaowei Yan; Chengqi Zhang; Shichao Zhang 001; John K. Debenham (ICMLA, 2002)

Mining Very Large Databases Using Software Agents. - Chengqi Zhang; Xiaowei Yan; Shichao Zhang 001; Paul Kennedy (ICMLA, 2002)

An Agent-Based Hybrid Intelligent System for Financial Investment Planning. - Zili Zhang 001; Chengqi Zhang (PRICAI, 2002)

Propagating Temporal Relations of Intervals by Matrix. - Shichao Zhang 001; Chengqi Zhang (Appl. Artif. Intell., 2002)

Discovering Causality in Large Databases. - Shichao Zhang 001; Chengqi Zhang (Appl. Artif. Intell., 2002)

A Hybrid Model for Sharing Information Between Fuzzy, Uncertain and Default Reasoning Models in Multi-agent Systems. - Xudong Luo; Chengqi Zhang; Nicholas R. Jennings (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2002)

Anytime mining for multiuser applications. - Shichao Zhang 001; Chengqi Zhang (IEEE Trans. Syst. Man Cybern. Part A, 2002)

Encoding probability propagation in belief networks. - Shichao Zhang 001; Chengqi Zhang (IEEE Trans. Syst. Man Cybern. Part A, 2002)

Verifying the Purchase Request in SET Protocol. - Qingfeng Chen; Chengqi Zhang; Shichao Zhang 001; Chunsheng Li (APWeb, 2003)

SCTR: An Approach to Digitizing Welllogging Graphn. - Chunsheng Li; Qingfeng Song; Mei Wang; Chengqi Zhang (Computer Graphics and Imaging, 2003)

Systematic Engineering in Designing Architecture of Telecommunications Business Intelligence System. - Longbing Cao; Dan Luo 001; Chao Luo; Chengqi Zhang (HIS, 2003)

Building Agent-Based Hybrid Intelligent Systems. - Zili Zhang 001; Chengqi Zhang (HIS, 2003)

An Approach to Digitizing and Managing Well-Logging Parameter Graphs with Agent-Based Perspective. - Chunsheng Li; Chengqi Zhang; Mei Wang; Qingfeng Song (IAT, 2003)

Verifying the Payment Authorization in SET Protocol. - Qingfeng Chen; Chengqi Zhang; Shichao Zhang 001 (IDEAL, 2003)

A Ring-Based Architectural Model for Middle Agents in Agent-Based System. - Chunsheng Li; Chengqi Zhang; Zili Zhang 001 (IDEAL, 2003)

A Database-Independent Approach of Mining Association Rules with Genetic Algorithm. - Xiaowei Yan; Chengqi Zhang; Shichao Zhang 001 (IDEAL, 2003)

Theoretical Evaluation of Ring-Based Architectural Model for Middle Agents in Agent-Based System. - Chunsheng Li; Chengqi Zhang; Longbing Cao (ISMIS, 2003)

An Agent-Based Curve-Digitizing System for Well-Logging Data Management. - Chunsheng Li; Chengqi Zhang; Mei Wang (ITCC, 2003)

Identifying Frequent Terms in Text Databases by Association Semantics. - Xiaowei Yan; Chengqi Zhang; Shichao Zhang 001 (ITCC, 2003)

Open Giant Intelligent Information Systems and Its Agent-Oriented Analysis and Design. - Longbing Cao; Chunsheng Li; Chengqi Zhang; Ruwei Dai (SEKE, 2003)

A Database-Independent Strategy for Confidence Determination. - Xiaowei Yan; Chengqi Zhang; Shichao Zhang 001 (SEKE, 2003)

Open Giant Intelligent Information Systems and Its Multiagent-Oriented System Design. - Longbing Cao; Chunsheng Li; Chengqi Zhang; Ruwei Dai (Software Engineering Research and Practice, 2003)

Cooperative Strategy for Web Data Mining and Cleaning. - Yuefeng Li; Chengqi Zhang; Shichao Zhang 001 (Appl. Artif. Intell., 2003)

Toward Databases Mining: Pre-Processing Collected Data. - Xiaowei Yan; Chengqi Zhang; Shichao Zhang 001 (Appl. Artif. Intell., 2003)

Data Preparation for Data Mining. - Shichao Zhang 001; Chengqi Zhang; Qiang Yang 001 (Appl. Artif. Intell., 2003)

Temporal Constraint Satisfaction in Matrix Method. - Chengqi Zhang; Shichao Zhang 001; Zili Zhang 001 (Appl. Artif. Intell., 2003)

An Agent-Based Hybrid Framework for Database Mining. - Zili Zhang 001; Chengqi Zhang; Shichao Zhang 001 (Appl. Artif. Intell., 2003)

A Probability Data Model and its Semantics. - Shichao Zhang 001; Chengqi Zhang (J. Res. Pract. Inf. Technol., 2003)

Discovering Associations in Very Large Databases by Approximating. - Shichao Zhang 001; Chengqi Zhang (Acta Cybern., 2003)

Identifying Approximate Itemsets of Interest in Large Databases. - Chengqi Zhang; Shichao Zhang 001; Geoffrey I. Webb (Appl. Intell., 2003)

Multi-Database Mining. - Shichao Zhang 001; Xindong Wu 001; Chengqi Zhang (IEEE Intell. Informatics Bull., 2003)

Post-mining: maintenance of association rules by weighting. - Shichao Zhang 001; Chengqi Zhang; Xiaowei Yan (Inf. Syst., 2003)

Agent-Based Hybrid Intelligent Systems: An Agent-Based Framework for Complex Problem Solving - Zili Zhang 001; Chengqi Zhang (Springer, 2004)

KBSVM: KMeans-based SVM for Business Intelligence. - Jiaqi Wang 017; Chengqi Zhang (AMCIS, 2004)

A Verification Model for Electronic Transaction Protocols. - Qingfeng Chen; Chengqi Zhang; Shichao Zhang 001 (APWeb, 2004)

Agent Services-Driven Plug-and-Play in F-TRADE. - Longbing Cao; Jiarui Ni; Jiaqi Wang 017; Chengqi Zhang (Australian Conference on Artificial Intelligence, 2004)

Cost-Sensitive Decision Trees with Multiple Cost Scales. - Zhenxing Qin; Shichao Zhang 001; Chengqi Zhang (Australian Conference on Artificial Intelligence, 2004)

Discovering Interesting Association Rules by Clustering. - Yanchang Zhao; Chengqi Zhang; Shichao Zhang 001 (Australian Conference on Artificial Intelligence, 2004)

Integrative Early Requirements Analysis for Agent-Based Systems. - Longbing Cao; Chengqi Zhang; Dan Luo 001; Wanli Chen; Neda Zamani (HIS, 2004)

Agent Services-Based Infrastructure for Online Assessment of Trading Strategies. - Longbing Cao; Jiaqi Wang 017; Li Lin 010; Chengqi Zhang (IAT, 2004)

A Platform for Dynamic Organization of Agents in Agent-Based Systems. - Chunsheng Li; Zili Zhang 001; Chengqi Zhang (IAT, 2004)

Integration of Business Intelligence Based on Three-Level Ontology Services. - Longbing Cao; Chao Luo; Dan Luo 001; Chengqi Zhang (Web Intelligence, 2004)

Clustering High-Dimensional Data with Low-Order Neighbors. - Yanchang Zhao; Chengqi Zhang; Yi-Dong Shen (Web Intelligence, 2004)

Mining Dependent Patterns In Probabilistic Databases. - Shichao Zhang 001; Chengqi Zhang; Jeffrey Xu Yu (Cybern. Syst., 2004)

Identifying Global Exceptional Patterns in Multi-database Mining. - Chengqi Zhang; Meiling Liu; Wenlong Nie; Shichao Zhang 001 (IEEE Intell. Informatics Bull., 2004)

Guest Editors' Introduction: Information Enhancement for Data Mining. - Shichao Zhang 001; Chengqi Zhang; Qiang Yang 001 (IEEE Intell. Syst., 2004)

Identifying Software Component Association With Genetic Algorithm. - Xiaowei Yan; Chengqi Zhang; Shichao Zhang 001 (Int. J. Softw. Eng. Knowl. Eng., 2004)

A fuzzy logic based method to acquire user threshold of minimum-support for mining association rules. - Shichao Zhang 001; Jingli Lu; Chengqi Zhang (Inf. Sci., 2004)

An efficient strategy for mining exceptions in multi-databases . - Shichao Zhang 001; Chengqi Zhang; Jeffrey Xu Yu (Inf. Sci., 2004)

Efficient mining of both positive and negative association rules. - Xindong Wu 001; Chengqi Zhang; Shichao Zhang 001 (ACM Trans. Inf. Syst., 2004)

Knowledge Discovery in Multiple Databases. - Shichao Zhang 001; Chengqi Zhang; Xindong Wu 001 (Springer, 2004)

In-Depth Data Mining and Its Application in Stock Market. - Chengqi Zhang; Shichao Zhang 001 (ADMA, 2005)

Agents and Data Mining: Mutual Enhancement by Integration. - Chengqi Zhang; Zili Zhang 001; Longbing Cao (AIS-ADM, 2005)

The Fish-eye Visualization of Foreign Currency Exchange Data Streams. - Li Lin 010; Longbing Cao; Chengqi Zhang (APVIS, 2005)

Any-Cost Discovery: Learning Optimal Classification Rules. - Ailing Ni; Xiaofeng Zhu 001; Chengqi Zhang (Australian Conference on Artificial Intelligence, 2005)

A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases. - Shichao Zhang 001; Xindong Wu 001; Jilian Zhang; Chengqi Zhang (DaWaK, 2005)

The Visualization of Large Database in Stock Market. - Li Lin 010; Longbing Cao; Chengqi Zhang (Databases and Applications, 2005)

A Framework for Merging Inconsistent Beliefs in Security Protocol Analysis. - Qingfeng Chen; Yi-Ping Phoebe Chen; Chengqi Zhang; Shichao Zhang 001 (DEEC, 2005)

Dynamic Test-Sensitive Decision Trees with Multiple Cost Scales. - Zhenxing Qin; Chengqi Zhang; Xuehui Xie; Shichao Zhang 001 (FSKD (1), 2005)

Genetic Algorithms for Robust Optimization in Financial Applications. - Li Lin 010; Longbing Cao; Chengqi Zhang (Computational Intelligence, 2005)

Agent Services-Orinted Architectural Design of Open Complex Agent Systems. - Longbing Cao; Chengqi Zhang; Jiarui Ni (IAT, 2005)

An Efficient Implementation of the Backtesting of Trading Strategies. - Jiarui Ni; Chengqi Zhang (ISPA, 2005)

A Recent-Biased Dimension Reduction Technique for Time Series Data. - Yanchang Zhao; Chengqi Zhang; Shichao Zhang 001 (PAKDD, 2005)

Armga: Identifying Interesting Association Rules with Genetic Algorithms. - Xiaowei Yan; Chengqi Zhang; Shichao Zhang 001 (Appl. Artif. Intell., 2005)

XEvent: An Event Notification System over Distributed Hash Table (DHT) Networks. - Ruili Wang; Weixiong Rao; Chengqi Zhang (IEEE Intell. Informatics Bull., 2005)

Association-Based Segmentation for Chinese-Crossed Query Expansion. - Chengqi Zhang; Zhenxing Qin; Xiaowei Yan (IEEE Intell. Informatics Bull., 2005)

Identifying Interesting Customers through Web Log Classification. - Jeffrey Xu Yu; Yuming Ou; Chengqi Zhang; Shichao Zhang 001 (IEEE Intell. Syst., 2005)

Support vector machines based on K-means clustering for real-time business intelligence systems. - Jiaqi Wang 017; Xindong Wu 001; Chengqi Zhang (Int. J. Bus. Intell. Data Min., 2005)

Database classification for multi-database mining. - Xindong Wu 001; Chengqi Zhang; Shichao Zhang 001 (Inf. Syst., 2005)

ENDL: A Logical Framework for Verifying Secure Transaction Protocols. - Qingfeng Chen; Chengqi Zhang; Shichao Zhang 001 (Knowl. Inf. Syst., 2005)

An improved model-based method to test circuit faults. - Xiaochun Cheng; Dantong Ouyang; Yunfei Jiang; Chengqi Zhang (Theor. Comput. Sci., 2005)

Guest Editors' Introduction: Special Section on Intelligent Data Preparation. - Chengqi Zhang; Qiang Yang 001; Bing Liu 001 (IEEE Trans. Knowl. Data Eng., 2005)

Identifying Interesting Patterns in Multidatabases. - Chengqi Zhang; Jeffrey Xu Yu; Shichao Zhang 001 (Classification and Clustering for Knowledge Discovery, 2005)

Agent Services-Oriented Architectural Design of a Framework for Artificial Stock Markets. - Jiarui Ni; Longbing Cao; Chengqi Zhang (AMT, 2006)

Missing or absent? A Question in Cost-sensitive Decision Tree. - Zhenxing Qin; Shichao Zhang 001; Chengqi Zhang (AMT, 2006)

Domain-Driven Data Mining: Methodologies and Applications. - Chengqi Zhang; Longbing Cao (AMT, 2006)

Kernel-Based Multi-Imputation for Missing Data. - Shichao Zhang 001; Yongsong Qin; Xiaofeng Zhu 001; Jilian Zhang; Chengqi Zhang (AMT, 2006)

Efficient Frequent Itemsets Mining by Sampling. - Yanchang Zhao; Chengqi Zhang; Shichao Zhang 001 (AMT, 2006)

Detecting Collusion Attacks in Security Protocols. - Qingfeng Chen; Yi-Ping Phoebe Chen; Shichao Zhang 001; Chengqi Zhang (APWeb, 2006)

Adapting K-Means Algorithm for Discovering Clusters in Subspaces. - Yanchang Zhao; Chengqi Zhang; Shichao Zhang 001; Lianwei Zhao (APWeb, 2006)

Enhancing DWT for Recent-Biased Dimension Reduction of Time Series Data. - Yanchang Zhao; Chengqi Zhang; Shichao Zhang 001 (Australian Conference on Artificial Intelligence, 2006)

Discovering Debtor Patterns of Centrelink Customers. - Yanchang Zhao; Longbing Cao; Yvonne Morrow; Yuming Ou; Jiarui Ni; Chengqi Zhang (AusDM, 2006)

A dynamic storage method for stock transaction data. - Jiarui Ni; Chengqi Zhang (Computational Intelligence, 2006)

A Human-Friendly MAS for Mining Stock Data. - Jiarui Ni; Chengqi Zhang (IAT Workshops, 2006)

Stock Data Mining through Fuzzy Genetic Algorithms. - Longbing Cao; Chao Luo; Jiarui Ni; Dan Luo 001; Chengqi Zhang (JCIS, 2006)

Identifying bridging rules between conceptual clusters. - Shichao Zhang 001; Feng Chen 001; Xindong Wu 001; Chengqi Zhang (KDD, 2006)

Domain-Driven Actionable Knowledge Discovery in the Real World. - Longbing Cao; Chengqi Zhang (PAKDD, 2006)

Is Frequency Enough for Decision Makers to Make Decisions?. - Shichao Zhang 001; Jeffrey Xu Yu; Jingli Lu; Chengqi Zhang (PAKDD, 2006)

Fuzzy Genetic Algorithms for Pairs Mining. - Longbing Cao; Dan Luo 001; Chengqi Zhang (PRICAI, 2006)

Mining Frequent Itemsets for Protein Kinase Regulation. - Qingfeng Chen; Yi-Ping Phoebe Chen; Chengqi Zhang; Lianggang Li (PRICAI, 2006)

Optimized Parameters for Missing Data Imputation. - Shichao Zhang 001; Yongsong Qin; Xiaofeng Zhu 001; Jilian Zhang; Chengqi Zhang (PRICAI, 2006)

Dynamic Focus Strategies for Electronic Trade Execution in Limit Order Markets. - Jiaqi Wang 017; Chengqi Zhang (CEC/EEE, 2006)

Intelligence Metasynthesis in Building Business Intelligence Systems. - Longbing Cao; Chengqi Zhang; Dan Luo 001; Ruwei Dai (WImBI, 2006)

A Neural Network Abductive Model. - Yue Xu; Kankana Chakrabarty; Chengqi Zhang (Aust. J. Intell. Inf. Process. Syst., 2006)

Domain-Driven Data Mining: A Practical Methodology. - Longbing Cao; Chengqi Zhang (Int. J. Data Warehous. Min., 2006)

Ontology-based integration of business intelligence. - Longbing Cao; Chengqi Zhang; Jiming Liu 001 (Web Intell. Agent Syst., 2006)

SVM-OD: SVM Method to Detect Outliers. - Jiaqi Wang 017; Chengqi Zhang; Xindong Wu 001; Hongwei Qi; Jue Wang (Foundations and Novel Approaches in Data Mining, 2006)

Measuring the Uncertainty of Differences for Contrasting Groups. - Jilian Zhang; Shichao Zhang 001; Xiaofeng Zhu 001; Xindong Wu 001; Chengqi Zhang (AAAI, 2007)

Cost-Sensitive Imputing Missing Values with Ordering. - Xiaofeng Zhu 001; Shichao Zhang 001; Jilian Zhang; Chengqi Zhang (AAAI, 2007)

Agent-Mining Interaction: An Emerging Area. - Longbing Cao; Chao Luo; Chengqi Zhang (AIS-ADM, 2007)

F-trade: an agent-mining symbiont for financial services. - Longbing Cao; Chengqi Zhang (AAMAS, 2007)

Class Association Rule Mining with Multiple Imbalanced Attributes. - Huaifeng Zhang; Yanchang Zhao; Longbing Cao; Chengqi Zhang (Australian Conference on Artificial Intelligence, 2007)

Developing Actionable Trading Strategies for Trading Agents. - Longbing Cao; Chao Luo; Chengqi Zhang (IAT, 2007)

Detecting Turning Points of Trading Price and Return Volatility for Market Surveillance Agents. - Yuming Ou; Longbing Cao; Ting Yu 008; Chengqi Zhang (Web Intelligence/IAT Workshops, 2007)

Cost-Time Sensitive Decision Tree with Missing Values. - Shichao Zhang 001; Xiaofeng Zhu 001; Jilian Zhang; Chengqi Zhang (KSEM, 2007)

Towards Business Interestingness in Actionable Knowledge Discovery. - Dan Luo 001; Longbing Cao; Chao Luo; Chengqi Zhang; Weiyuan Wang (DMBiz@PAKDD, 2007)

Evolutionary Optimization of Trading Strategies. - Jiarui Ni; Longbing Cao; Chengqi Zhang (DMBiz@PAKDD, 2007)

GBKII: An Imputation Method for Missing Values. - Chengqi Zhang; Xiaofeng Zhu 001; Jilian Zhang; Yongsong Qin; Shichao Zhang 001 (PAKDD, 2007)

Efficient Attribute Reduction Based on Discernibility Matrix. - Zhangyan Xu; Chengqi Zhang; Shichao Zhang 001; Wei Song 004; Bingru Yang (RSKT, 2007)

On Data Structures for Association Rule Discovery. - Xiaowei Yan; Shichao Zhang 001; Chengqi Zhang (Appl. Artif. Intell., 2007)

Semi-parametric optimization for missing data imputation. - Yongsong Qin; Shichao Zhang 001; Xiaofeng Zhu 001; Jilian Zhang; Chengqi Zhang (Appl. Intell., 2007)

Detecting inconsistency in biological molecular databases using ontologies. - Qingfeng Chen; Yi-Ping Phoebe Chen; Chengqi Zhang (Data Min. Knowl. Discov., 2007)

Domain-Driven, Actionable Knowledge Discovery. - Longbing Cao; Chengqi Zhang; Qiang Yang 001; David A. Bell; Michail Vlachos; Bahar Taneri; Eamonn J. Keogh; Philip S. Yu; Ning Zhong 001; Mafruz Zaman Ashrafi; David Taniar; Eugene Dubossarsky; et al. (IEEE Intell. Syst., 2007)

Knowledge actionability: satisfying technical and business interestingness. - Longbing Cao; Dan Luo 001; Chengqi Zhang (Int. J. Bus. Intell. Data Min., 2007)

The Evolution of KDD: towards Domain-Driven Data Mining. - Longbing Cao; Chengqi Zhang (Int. J. Pattern Recognit. Artif. Intell., 2007)

EDUA: An efficient algorithm for dynamic database mining. - Shichao Zhang 001; Jilian Zhang; Chengqi Zhang (Inf. Sci., 2007)

DDDM2007: Domain Driven Data Mining. - Longbing Cao; Chengqi Zhang; Yanchang Zhao; Philip S. Yu; Graham Williams (SIGKDD Explor., 2007)

Building agent-based hybrid intelligent systems: A case study. - Zili Zhang 001; Chengqi Zhang (Web Intell. Agent Syst., 2007)

Secure Transaction Protocol Analysis: Models and Applications - Qingfeng Chen; Chengqi Zhang; Shichao Zhang 001 (Springer, 2008)

Combined Pattern Mining: From Learned Rules to Actionable Knowledge. - Yanchang Zhao; Huaifeng Zhang; Longbing Cao; Chengqi Zhang; Hans Bohlscheid (Australasian Conference on Artificial Intelligence, 2008)

Exception Mining on Multiple Time Series in Stock Market. - Chao Luo; Yanchang Zhao; Longbing Cao; Yuming Ou; Chengqi Zhang (Web Intelligence/IAT Workshops, 2008)

F-TRADE 3.0: An Agent-Based Integrated Framework for Data Mining Experiments. - Peerapol Moemeng; Longbing Cao; Chengqi Zhang (Web Intelligence/IAT Workshops, 2008)

Multi-Space-Mapped SVMs for Multi-class Classification. - Bo Liu 002; Longbing Cao; Philip S. Yu; Chengqi Zhang (ICDM, 2008)

Cleansing Noisy Data Streams. - Xingquan Zhu 001; Peng Zhang 001; Xindong Wu 001; Dan He 001; Chengqi Zhang; Yong Shi 001 (ICDM, 2008)

Combined Association Rule Mining. - Huaifeng Zhang; Yanchang Zhao; Longbing Cao; Chengqi Zhang (PAKDD, 2008)

Domain-Driven Local Exceptional Pattern Mining for Detecting Stock Price Manipulation. - Yuming Ou; Longbing Cao; Chao Luo; Chengqi Zhang (PRICAI, 2008)

Efficient Mining of Event-Oriented Negative Sequential Rules. - Yanchang Zhao; Huaifeng Zhang; Longbing Cao; Chengqi Zhang; Hans Bohlscheid (Web Intelligence, 2008)

Activity Mining: from Activities to Actions. - Longbing Cao; Yanchang Zhao; Chengqi Zhang; Huaifeng Zhang (Int. J. Inf. Technol. Decis. Mak., 2008)

Editorial. - Xingquan Zhu 001; Chengqi Zhang; David L. Olson (Int. J. Softw. Informatics, 2008)

Computing the minimum-support for mining frequent patterns. - Shichao Zhang 001; Xindong Wu 001; Chengqi Zhang; Jingli Lu (Knowl. Inf. Syst., 2008)

Missing Value Imputation Based on Data Clustering. - Shichao Zhang 001; Jilian Zhang; Xiaofeng Zhu 001; Yongsong Qin; Chengqi Zhang (Trans. Comput. Sci., 2008)

Mining Impact-Targeted Activity Patterns in Imbalanced Data. - Longbing Cao; Yanchang Zhao; Chengqi Zhang (IEEE Trans. Knowl. Data Eng., 2008)

Engineering Open Complex Agent Systems: A Case Study. - Longbing Cao; Chengqi Zhang; MengChu Zhou (IEEE Trans. Syst. Man Cybern. Part C, 2008)

Intelligent Agent. - Chengqi Zhang; Zili Zhang 001 (Wiley Encyclopedia of Computer Science and Engineering, 2008)

Agent-Based Distributed Data Mining: A Survey. - Chayapol Moemeng; Vladimir Gorodetsky; Ziye Zuo; Yong Yang; Chengqi Zhang (Data Mining and Multi-agent Integration, 2009)

Ubiquitous Intelligence in Agent Mining. - Longbing Cao; Dan Luo 001; Chengqi Zhang (ADMI, 2009)

Multi-sphere Support Vector Data Description for Outliers Detection on Multi-distribution Data. - Yanshan Xiao; Bo Liu 002; Longbing Cao; Xindong Wu 001; Chengqi Zhang; Zhifeng Hao; Fengzhao Yang; Jie Cao 001 (ICDM Workshops, 2009)

Vague One-Class Learning for Data Streams. - Xingquan Zhu 001; Xindong Wu 001; Chengqi Zhang (ICDM, 2009)

Debt Detection in Social Security by Adaptive Sequence Classification. - Shanshan Wu; Yanchang Zhao; Huaifeng Zhang; Chengqi Zhang; Longbing Cao; Hans Bohlscheid (KSEM, 2009)

Mining Both Positive and Negative Impact-Oriented Sequential Rules from Transactional Data. - Yanchang Zhao; Huaifeng Zhang; Longbing Cao; Chengqi Zhang; Hans Bohlscheid (PAKDD, 2009)

Debt Detection in Social Security by Sequence Classification Using Both Positive and Negative Patterns. - Yanchang Zhao; Huaifeng Zhang; Shanshan Wu; Jian Pei 001; Longbing Cao; Chengqi Zhang; Hans Bohlscheid (ECML/PKDD (2), 2009)

Efficient approximate entity extraction with edit distance constraints. - Wei Wang 011; Chuan Xiao 001; Xuemin Lin 001; Chengqi Zhang (SIGMOD Conference, 2009)

Developing Actionable Trading Strategies for Trading Agents. - Chengqi Zhang (Web Intelligence, 2009)

Confidence Metrics for Association Rule Mining. - Xiaowei Yan; Chengqi Zhang; Shichao Zhang 001 (Appl. Artif. Intell., 2009)

Adaptive Anomaly Detection of Coupled Activity Sequences. - Yuming Ou; Longbing Cao; Chengqi Zhang (IEEE Intell. Informatics Bull., 2009)

POP algorithm: Kernel-based imputation to treat missing values in knowledge discovery from databases. - Yongsong Qin; Shichao Zhang 001; Xiaofeng Zhu 001; Jilian Zhang; Chengqi Zhang (Expert Syst. Appl., 2009)

Estimating confidence intervals for structural differences between contrast groups with missing data. - Yongsong Qin; Shichao Zhang 001; Xiaofeng Zhu 001; Jilian Zhang; Chengqi Zhang (Expert Syst. Appl., 2009)

Genetic algorithm-based strategy for identifying association rules without specifying actual minimum support. - Xiaowei Yan; Chengqi Zhang; Shichao Zhang 001 (Expert Syst. Appl., 2009)

An Agent-Based Hybrid System for Microarray Data Analysis. - Zili Zhang 001; Pengyi Yang; Xindong Wu 001; Chengqi Zhang (IEEE Intell. Syst., 2009)

Customer Activity Sequence Classification for Debt Prevention in Social Security. - Huaifeng Zhang; Yanchang Zhao; Longbing Cao; Chengqi Zhang; Hans Bohlscheid (J. Comput. Sci. Technol., 2009)

Cost Sensitive Classification in Data Mining. - Zhenxing Qin; Chengqi Zhang; Tao Wang 080; Shichao Zhang 001 (ADMA (1), 2010)

A Multiple System Performance Monitoring Model for Web Services. - Yong Yang; Dan Luo 001; Chengqi Zhang (ADMI, 2010)

An ADL-Approach to Specifying and Analyzing Centralized-Mode Architectural Connection. - Guoxin Su; Mingsheng Ying; Chengqi Zhang (ECSA, 2010)

Testing Adaptive Local Hyperplane for multi-class classification by double cross-validation. - Tao Yang 019; Vojislav Kecman; Longbing Cao; Chengqi Zhang (IJCNN, 2010)

A Novel Prototype Reduction Method for the K-Nearest Neighbor Algorithm with K >= 1. - Tao Yang 019; Longbing Cao; Chengqi Zhang (PAKDD (2), 2010)

Combining Support Vector Machines and the t-statistic for Gene Selection in DNA Microarray Data Analysis. - Tao Yang 019; Vojislav Kecman; Longbing Cao; Chengqi Zhang (PAKDD (2), 2010)

Against-Expectation Pattern Discovery: Identifying Interactions within Items with Large Relative-Contrasts in Databases. - Dingrong Yuan; Xiaofang You; Chengqi Zhang (IEEE Intell. Informatics Bull., 2010)

Combining kNN Imputation and Bootstrap Calibrated: Empirical Likelihood for Incomplete Data Analysis. - Yongsong Qin; Shichao Zhang 001; Chengqi Zhang (Int. J. Data Warehous. Min., 2010)

Flexible Frameworks for Actionable Knowledge Discovery. - Longbing Cao; Yanchang Zhao; Huaifeng Zhang; Dan Luo 001; Chengqi Zhang; Eun K. Park (IEEE Trans. Knowl. Data Eng., 2010)

Introduction to the Domain-Driven Data Mining Special Section. - Chengqi Zhang; Philip S. Yu; David A. Bell (IEEE Trans. Knowl. Data Eng., 2010)

An Empirical Study of Bagging Predictors for Different Learning Algorithms. - Guohua Liang; Xingquan Zhu 001; Chengqi Zhang (AAAI, 2011)

An Empirical Evaluation of Bagging with Different Algorithms on Imbalanced Data. - Guohua Liang; Chengqi Zhang (ADMA (1), 2011)

An Empirical Study of Bagging Predictors for Imbalanced Data with Different Levels of Class Distribution. - Guohua Liang; Xingquan Zhu 001; Chengqi Zhang (Australasian Conference on Artificial Intelligence, 2011)

Empirical Study of Bagging Predictors on Medical Data. - Guohua Liang; Chengqi Zhang (AusDM, 2011)

e-NSP: efficient negative sequential pattern mining based on identified positive patterns without database rescanning. - Xiangjun Dong 001; Zhigang Zheng; Longbing Cao; Yanchang Zhao; Chengqi Zhang; Jinjiu Li; Wei Wei 039; Yuming Ou (CIKM, 2011)

Do they belong to the same class: active learning by querying pairwise label homogeneity. - Yifan Fu; Bin Li 015; Xingquan Zhu 001; Chengqi Zhang (CIKM, 2011)

Cross-Domain Collaborative Filtering over Time. - Bin Li 015; Xingquan Zhu 001; Ruijiang Li; Chengqi Zhang; Xiangyang Xue 001; Xindong Wu 001 (IJCAI, 2011)

Similarity-Based Approach for Positive and Unlabeled Learning. - Yanshan Xiao; Bo Liu 002; Jie Yin 001; Longbing Cao; Chengqi Zhang; Zhifeng Hao (IJCAI, 2011)

Agent-Based Subspace Clustering. - Chao Luo; Yanchang Zhao; Dan Luo 001; Chengqi Zhang; Wei Cao (PAKDD (2), 2011)

Semi-supervised Variable Weighting for Clustering. - Ling Chen 006; Chengqi Zhang (SDM, 2011)

CLAP: Collaborative pattern mining for distributed information systems. - Xingquan Zhu 001; Bin Li 015; Xindong Wu 001; Dan He 001; Chengqi Zhang (Decis. Support Syst., 2011)

Margin-based ensemble classifier for protein fold recognition. - Tao Yang 019; Vojislav Kecman; Longbing Cao; Chengqi Zhang; Joshua Zhexue Huang (Expert Syst. Appl., 2011)

Enhancing grid-density based clustering for high dimensional data. - Yanchang Zhao; Jie Cao 001; Chengqi Zhang; Shichao Zhang 001 (J. Syst. Softw., 2011)

One-class learning and concept summarization for data streams. - Xingquan Zhu 001; Wei Ding 003; Philip S. Yu; Chengqi Zhang (Knowl. Inf. Syst., 2011)

Combined Mining: Discovering Informative Knowledge in Complex Data. - Longbing Cao; Huaifeng Zhang; Yanchang Zhao; Dan Luo 001; Chengqi Zhang (IEEE Trans. Syst. Man Cybern. Part B, 2011)

Active Learning from Oracle with Knowledge Blind Spot. - Meng Fang; Xingquan Zhu 001; Chengqi Zhang (AAAI, 2012)

System Modeling of a Smart-Home Healthy Lifestyle Assistant. - Xinhua Zhu; Yaxin Yu; Yuming Ou; Dan Luo 001; Chengqi Zhang; Jiahang Chen (ADMI, 2012)

A Comparative Study of Sampling Methods and Algorithms for Imbalanced Time Series Classification. - Guohua Liang; Chengqi Zhang (Australasian Conference on Artificial Intelligence, 2012)

An efficient and simple under-sampling technique for imbalanced time series classification. - Guohua Liang; Chengqi Zhang (CIKM, 2012)

TCSST: transfer classification of short & sparse text using external data. - Guodong Long; Ling Chen 006; Xingquan Zhu 001; Chengqi Zhang (CIKM, 2012)

Nested Subtree Hash Kernels for Large-Scale Graph Classification over Streams. - Bin Li 015; Xingquan Zhu 001; Lianhua Chi; Chengqi Zhang (ICDM, 2012)

Semantic Analysis of Component-aspect Dynamism for Connector-based Architecture Styles. - Guoxin Su; Mingsheng Ying; Chengqi Zhang (WICSA/ECSA, 2012)

Mining bridging rules between conceptual clusters. - Shichao Zhang 001; Feng Chen 001; Xindong Wu 001; Chengqi Zhang; Ruili Wang (Appl. Intell., 2012)

Session Communication and Integration - Guoxin Su; Mingsheng Ying; Chengqi Zhang (CoRR, 2012)

Cost-sensitive classification with inadequate labeled data. - Tao Wang 080; Zhenxing Qin; Shichao Zhang 001; Chengqi Zhang (Inf. Syst., 2012)

Probabilistic Exposure Fusion. - Mingli Song; Dacheng Tao; Chun Chen 001; Jiajun Bu; Jiebo Luo 001; Chengqi Zhang (IEEE Trans. Image Process., 2012)

Mining frequent serial episodes over uncertain sequence data. - Li Wan; Ling Chen 006; Chengqi Zhang (EDBT, 2013)

Graph stream classification using labeled and unlabeled graphs. - Shirui Pan; Xingquan Zhu 001; Chengqi Zhang; Philip S. Yu (ICDE, 2013)

Mining Dependent Frequent Serial Episodes from Uncertain Sequence Data. - Li Wan; Ling Chen 006; Chengqi Zhang (ICDM, 2013)

Multi-instance Multi-graph Dual Embedding Learning. - Jia Wu 001; Xingquan Zhu 001; Chengqi Zhang; Zhihua Cai (ICDM, 2013)

Summarizing probabilistic frequent patterns: a fast approach. - Chunyang Liu; Ling Chen 006; Chengqi Zhang (KDD, 2013)

Cost-Sensitive Classification with k-Nearest Neighbors. - Zhenxing Qin; Alan Tao Wang; Chengqi Zhang; Shichao Zhang 001 (KSEM, 2013)

Mining Probabilistic Representative Frequent Patterns From Uncertain Data. - Ling Chen 006; Chunyang Liu; Chengqi Zhang (SDM, 2013)

Active Class Discovery and Learning for Networked Data. - Meng Fang; Jie Yin 001; Chengqi Zhang; Xingquan Zhu 001 (SDM, 2013)

Learning colours from textures by sparse manifold embedding. - Jun Li 010; Wei Bian; Dacheng Tao; Chengqi Zhang (Signal Process., 2013)

Noisy but non-malicious user detection in social recommender systems. - Bin Li 015; Ling Chen 006; Xingquan Zhu 001; Chengqi Zhang (World Wide Web, 2013)

Exploring Features for Complicated Objects: Cross-View Feature Selection for Multi-Instance Learning. - Jia Wu 001; Zhibin Hong; Shirui Pan; Xingquan Zhu 001; Zhihua Cai; Chengqi Zhang (CIKM, 2014)

SNOC: Streaming Network Node Classification. - Ting Guo; Xingquan Zhu 001; Jian Pei 001; Chengqi Zhang (ICDM, 2014)

Multi-graph-view Learning for Graph Classification. - Jia Wu 001; Zhibin Hong; Shirui Pan; Xingquan Zhu 001; Zhihua Cai; Chengqi Zhang (ICDM, 2014)

Attribute weighting: How and when does it work for Bayesian Network Classification. - Jia Wu 001; Zhihua Cai; Shirui Pan; Xingquan Zhu 001; Chengqi Zhang (IJCNN, 2014)

Dual instance and attribute weighting for Naive Bayes classification. - Jia Wu 001; Shirui Pan; Zhihua Cai; Xingquan Zhu 001; Chengqi Zhang (IJCNN, 2014)

Multi-Instance Learning from Positive and Unlabeled Bags. - Jia Wu 001; Xingquan Zhu 001; Chengqi Zhang; Zhihua Cai (PAKDD (1), 2014)

Multi-Graph Learning with Positive and Unlabeled Bags. - Jia Wu 001; Zhibin Hong; Shirui Pan; Xingquan Zhu 001; Chengqi Zhang; Zhihua Cai (SDM, 2014)

Scalable big graph processing in MapReduce. - Lu Qin 001; Jeffrey Xu Yu; Lijun Chang; Hong Cheng 001; Chengqi Zhang; Xuemin Lin 001 (SIGMOD Conference, 2014)

Matching dominance: capture the semantics of dominance for multi-dimensional uncertain objects. - Ying Zhang 001; Wenjie Zhang 001; Xuemin Lin 001; Muhammad Aamir Cheema; Chengqi Zhang (SSDBM, 2014)

The effect of varying levels of class distribution on bagging for different algorithms: An empirical study. - Guohua Liang; Xingquan Zhu 001; Chengqi Zhang (Int. J. Mach. Learn. Cybern., 2014)

Active Learning without Knowing Individual Instance Labels: A Pairwise Label Homogeneity Query Approach. - Yifan Fu; Bin Li 015; Xingquan Zhu 001; Chengqi Zhang (IEEE Trans. Knowl. Data Eng., 2014)

Bag Constrained Structure Pattern Mining for Multi-Graph Classification. - Jia Wu 001; Xingquan Zhu 001; Chengqi Zhang; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2014)

SocialAnalysis: A Real-Time Query and Mining System from Social Media Data Streams. - Haishuai Wang; Peng Zhang 001; Ling Chen 006; Chengqi Zhang (ADC, 2015)

Defragging Subgraph Features for Graph Classification. - Haishuai Wang; Peng Zhang 001; Ivor W. Tsang; Ling Chen 006; Chengqi Zhang (CIKM, 2015)

Build Emotion Lexicon from Microblogs by Combining Effects of Seed Words and Emoticons in a Heterogeneous Graph. - Kaisong Song; Shi Feng 001; Wei Gao 001; Daling Wang; Ling Chen 006; Chengqi Zhang (HT, 2015)

Towards Mining Trapezoidal Data Streams. - Qin Zhang 011; Peng Zhang 001; Guodong Long; Wei Ding 003; Chengqi Zhang; Xindong Wu 001 (ICDM, 2015)

Multi-Graph-View Learning for Complicated Object Classification. - Jia Wu 001; Shirui Pan; Xingquan Zhu 001; Zhihua Cai; Chengqi Zhang (IJCAI, 2015)

Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search. - Yan Yan 006; Mingkui Tan; Ivor W. Tsang; Yi Yang 001; Chengqi Zhang; Qinfeng Shi (IJCAI, 2015)

Online diffusion source detection in social networks. - Haishuai Wang; Peng Zhang 001; Ling Chen 006; Huan Liu 001; Chengqi Zhang (IJCNN, 2015)

Locally Densest Subgraph Discovery. - Lu Qin 001; Rong-Hua Li; Lijun Chang; Chengqi Zhang (KDD, 2015)

RCP Mining: Towards the Summarization of Spatial Co-location Patterns. - Bozhong Liu; Ling Chen 006; Chunyang Liu; Chengqi Zhang; Weidong Qiu (SSTD, 2015)

Self-adaptive attribute weighting for Naive Bayes classification. - Jia Wu 001; Shirui Pan; Xingquan Zhu 001; Zhihua Cai; Peng Zhang 001; Chengqi Zhang (Expert Syst. Appl., 2015)

Finding the best not the most: regularized loss minimization subgraph selection for graph classification. - Shirui Pan; Jia Wu 001; Xingquan Zhu 001; Guodong Long; Chengqi Zhang (Pattern Recognit., 2015)

Rating Knowledge Sharing in Cross-Domain Collaborative Filtering. - Bin Li 015; Xingquan Zhu 001; Ruijiang Li; Chengqi Zhang (IEEE Trans. Cybern., 2015)

Graph Ensemble Boosting for Imbalanced Noisy Graph Stream Classification. - Shirui Pan; Jia Wu 001; Xingquan Zhu 001; Chengqi Zhang (IEEE Trans. Cybern., 2015)

Modeling Location-Based User Rating Profiles for Personalized Recommendation. - Hongzhi Yin; Bin Cui 001; Ling Chen 006; Zhiting Hu; Chengqi Zhang (ACM Trans. Knowl. Discov. Data, 2015)

TrGraph: Cross-Network Transfer Learning via Common Signature Subgraphs. - Meng Fang; Jie Yin 001; Xingquan Zhu 001; Chengqi Zhang (IEEE Trans. Knowl. Data Eng., 2015)

Dynamic Concept Composition for Zero-Example Event Detection. - Xiaojun Chang; Yi Yang 001; Guodong Long; Chengqi Zhang; Alexander G. Hauptmann (AAAI, 2016)

Mining Co-locations from Continuously Distributed Uncertain Spatial Data. - Bozhong Liu; Ling Chen 006; Chunyang Liu; Chengqi Zhang; Weidong Qiu (APWeb (1), 2016)

Global and Local Influence-based Social Recommendation. - Qinzhe Zhang; Jia Wu 001; Hong Yang 003; Weixue Lu; Guodong Long; Chengqi Zhang (CIKM, 2016)

Collective Classification via Discriminative Matrix Factorization on Sparsely Labeled Networks. - Daokun Zhang; Jie Yin 001; Xingquan Zhu 001; Chengqi Zhang (CIKM, 2016)

Canonical Consistent Weighted Sampling for Real-Value Weighted Min-Hash. - Wei Wu 011; Bin Li 015; Ling Chen 006; Chengqi Zhang (ICDM, 2016)

Inferring Latent Network from Cascade Data for Dynamic Social Recommendation. - Qin Zhang 011; Jia Wu 001; Peng Zhang 001; Guodong Long; Ivor W. Tsang; Chengqi Zhang (ICDM, 2016)

Homophily, Structure, and Content Augmented Network Representation Learning. - Daokun Zhang; Jie Yin 001; Xingquan Zhu 001; Chengqi Zhang (ICDM, 2016)

Depth-First Search Encoding of RNA Substructures. - Qingfeng Chen; Chaowang Lan; Jinyan Li 001; Baoshan Chen; Lusheng Wang 001; Chengqi Zhang (ICIC (1), 2016)

Tri-Party Deep Network Representation. - Shirui Pan; Jia Wu 001; Xingquan Zhu 001; Chengqi Zhang; Yang Wang 023 (IJCAI, 2016)

Unsupervised Feature Learning from Time Series. - Qin Zhang 011; Jia Wu 001; Hong Yang 003; Yingjie Tian 001; Chengqi Zhang (IJCAI, 2016)

Co-clustering enterprise social networks. - Ruiqi Hu; Shirui Pan; Guodong Long; Xingquan Zhu 001; Jing Jiang 002; Chengqi Zhang (IJCNN, 2016)

Cross-View Feature Hashing for Image Retrieval. - Wei Wu 011; Bin Li 015; Ling Chen 006; Chengqi Zhang (PAKDD (1), 2016)

Exploring Heterogeneous Product Networks for Discovering Collective Marketing Hyping Behavior. - Qinzhe Zhang; Qin Zhang 011; Guodong Long; Peng Zhang 001; Chengqi Zhang (PAKDD (1), 2016)

Build Emotion Lexicon from the Mood of Crowd via Topic-Assisted Joint Non-negative Matrix Factorization. - Kaisong Song; Wei Gao 001; Ling Chen 006; Shi Feng 001; Daling Wang; Chengqi Zhang (SIGIR, 2016)

PerSentiment: A Personalized Sentiment Classification System for Microblog Users. - Kaisong Song; Ling Chen 006; Wei Gao 001; Shi Feng 001; Daling Wang; Chengqi Zhang (WWW (Companion Volume), 2016)

Time-Variant Graph Classification. - Haishuai Wang; Jia Wu 001; Xingquan Zhu 001; Chengqi Zhang (CoRR, 2016)

Interval-Based Similarity for Classifying Conserved RNA Secondary Structures. - Qingfeng Chen; Yi-Ping Phoebe Chen; Chengqi Zhang (IEEE Intell. Syst., 2016)

Multi-graph-view subgraph mining for graph classification. - Jia Wu 001; Zhibin Hong; Shirui Pan; Xingquan Zhu 001; Zhihua Cai; Chengqi Zhang (Knowl. Inf. Syst., 2016)

SODE: Self-Adaptive One-Dependence Estimators for classification. - Jia Wu 001; Shirui Pan; Xingquan Zhu 001; Peng Zhang 001; Chengqi Zhang (Pattern Recognit., 2016)

Convex Sparse PCA for Unsupervised Feature Learning. - Xiaojun Chang; Feiping Nie 001; Yi Yang 001; Chengqi Zhang; Heng Huang (ACM Trans. Knowl. Discov. Data, 2016)

Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification. - Shirui Pan; Jia Wu 001; Xingquan Zhu 001; Chengqi Zhang; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2016)

Online Learning from Trapezoidal Data Streams. - Qin Zhang 011; Peng Zhang 001; Guodong Long; Wei Ding 003; Chengqi Zhang; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2016)

Compound Rank-k Projections for Bilinear Analysis. - Xiaojun Chang; Feiping Nie 001; Sen Wang 001; Yi Yang 001; Xiaofang Zhou 001; Chengqi Zhang (IEEE Trans. Neural Networks Learn. Syst., 2016)

Towards Anomalous Diffusion Sources Detection in a Large Network. - Peng Zhang 001; Jing He 004; Guodong Long; Guangyan Huang; Chengqi Zhang (ACM Trans. Internet Techn., 2016)

Protecting Location Privacy in Spatial Crowdsourcing using Encrypted Data. - Bozhong Liu; Ling Chen 006; Xingquan Zhu 001; Ying Zhang 001; Chengqi Zhang; Weidong Qiu (EDBT, 2017)

Recommendation vs Sentiment Analysis: A Text-Driven Latent Factor Model for Rating Prediction with Cold-Start Awareness. - Kaisong Song; Wei Gao 001; Shi Feng 001; Daling Wang; Kam-Fai Wong; Chengqi Zhang (IJCAI, 2017)

User Profile Preserving Social Network Embedding. - Daokun Zhang; Jie Yin 001; Xingquan Zhu 001; Chengqi Zhang (IJCAI, 2017)

Consistent Weighted Sampling Made More Practical. - Wei Wu 011; Bin Li 015; Ling Chen 006; Chengqi Zhang (WWW, 2017)

Collective Hyping Detection System for Identifying Online Spam Activities. - Qinzhe Zhang; Jia Wu 001; Peng Zhang 001; Guodong Long; Chengqi Zhang (IEEE Intell. Syst., 2017)

Boosting for graph classification with universum. - Shirui Pan; Jia Wu 001; Xingquan Zhu 001; Guodong Long; Chengqi Zhang (Knowl. Inf. Syst., 2017)

Using propensity scores to predict the kinases of unannotated phosphopeptides. - Qingfeng Chen; Yiqi Wang 008; Baoshan Chen; Chengqi Zhang; Lusheng Wang 001; Jinyan Li 001 (Knowl. Based Syst., 2017)

Exploring Consensus RNA Substructural Patterns Using Subgraph Mining. - Qingfeng Chen; Chaowang Lan; Baoshan Chen; Lusheng Wang 001; Jinyan Li 001; Chengqi Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Task Sensitive Feature Exploration and Learning for Multitask Graph Classification. - Shirui Pan; Jia Wu 001; Xingquan Zhu 001; Guodong Long; Chengqi Zhang (IEEE Trans. Cybern., 2017)

Positive and Unlabeled Multi-Graph Learning. - Jia Wu 001; Shirui Pan; Xingquan Zhu 001; Chengqi Zhang; Xindong Wu 001 (IEEE Trans. Cybern., 2017)

Combining Structured Node Content and Topology Information for Networked Graph Clustering. - Ting Guo; Jia Wu 001; Xingquan Zhu 001; Chengqi Zhang (ACM Trans. Knowl. Discov. Data, 2017)

Incremental Subgraph Feature Selection for Graph Classification. - Haishuai Wang; Peng Zhang 001; Xingquan Zhu 001; Ivor Wai-Hung Tsang; Ling Chen 006; Chengqi Zhang; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2017)

DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding. - Tao Shen 001; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Shirui Pan; Chengqi Zhang (AAAI, 2018)

Binarized attributed network embedding. - Hong Yang 003; Shirui Pan; Peng Zhang 001; Ling Chen 006; Defu Lian; Chengqi Zhang (ICDM, 2018)

SINE: Scalable Incomplete Network Embedding. - Daokun Zhang; Jie Yin 001; Xingquan Zhu 001; Chengqi Zhang (ICDM, 2018)

Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling. - Tao Shen 001; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Chengqi Zhang (ICLR (Poster), 2018)

Adversarially Regularized Graph Autoencoder for Graph Embedding. - Shirui Pan; Ruiqi Hu; Guodong Long; Jing Jiang 002; Lina Yao 001; Chengqi Zhang (IJCAI, 2018)

Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling. - Tao Shen 001; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Sen Wang 001; Chengqi Zhang (IJCAI, 2018)

Efficient Attributed Network Embedding via Recursive Randomized Hashing. - Wei Wu 011; Bin Li 015; Ling Chen 006; Chengqi Zhang (IJCAI, 2018)

Cost-sensitive Hybrid Neural Networks for Heterogeneous and Imbalanced Data. - Xinxin Jiang; Shirui Pan; Guodong Long; Jiang Chang; Jing Jiang 002; Chengqi Zhang (IJCNN, 2018)

MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding. - Daokun Zhang; Jie Yin 001; Xingquan Zhu 001; Chengqi Zhang (PAKDD (2), 2018)

Advances in Processing, Mining, and Learning Complex Data: From Foundations to Real-World Applications. - Jia Wu 001; Shirui Pan; Chuan Zhou 001; Gang Li 009; Wu He; Chengqi Zhang (Complex., 2018)

Adversarially Regularized Graph Autoencoder. - Shirui Pan; Ruiqi Hu; Guodong Long; Jing Jiang 002; Lina Yao 001; Chengqi Zhang (CoRR, 2018)

Fast Directional Self-Attention Mechanism. - Tao Shen 001; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Chengqi Zhang (CoRR, 2018)

K-Ary Tree Hashing for Fast Graph Classification. - Wei Wu 011; Bin Li 015; Ling Chen 006; Xingquan Zhu 001; Chengqi Zhang (IEEE Trans. Knowl. Data Eng., 2018)

Multi-Instance Learning with Discriminative Bag Mapping. - Jia Wu 001; Shirui Pan; Xingquan Zhu 001; Chengqi Zhang; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2018)

Dynamic Affinity Graph Construction for Spectral Clustering Using Multiple Features. - Zhihui Li 001; Feiping Nie 001; Xiaojun Chang; Yi Yang 001; Chengqi Zhang; Nicu Sebe (IEEE Trans. Neural Networks Learn. Syst., 2018)

Multiple Structure-View Learning for Graph Classification. - Jia Wu 001; Shirui Pan; Xingquan Zhu 001; Chengqi Zhang; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2018)

Dual influence embedded social recommendation. - Qinzhe Zhang; Jia Wu 001; Qin Zhang 011; Peng Zhang 001; Guodong Long; Chengqi Zhang (World Wide Web, 2018)

Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph. - Lu Liu 019; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Lina Yao 001; Chengqi Zhang (IJCAI, 2019)

Attributed Graph Clustering: A Deep Attentional Embedding Approach. - Chun Wang; Shirui Pan; Ruiqi Hu; Guodong Long; Jing Jiang 002; Chengqi Zhang (IJCAI, 2019)

Graph WaveNet for Deep Spatial-Temporal Graph Modeling. - Zonghan Wu; Shirui Pan; Guodong Long; Jing Jiang 002; Chengqi Zhang (IJCAI, 2019)

Tensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together. - Tao Shen 001; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Chengqi Zhang (NAACL-HLT (1), 2019)

Learning to Propagate for Graph Meta-Learning. - Lu Liu 019; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Chengqi Zhang (NeurIPS, 2019)

Attributed network embedding via subspace discovery. - Daokun Zhang; Jie Yin 001; Xingquan Zhu 001; Chengqi Zhang (Data Min. Knowl. Discov., 2019)

Preliminary Application of Intravoxel Incoherent Motion Diffusion-Weighted Imaging in Diagnosing Lung Cancer. - Xianwen Jin; Xianling Liu; Yuejiao Hou; Gesheng Song; Chengqi Zhang (J. Medical Imaging Health Informatics, 2019)

Salient Subsequence Learning for Time Series Clustering. - Qin Zhang 011; Jia Wu 001; Peng Zhang 001; Guodong Long; Chengqi Zhang (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Cost-Sensitive Parallel Learning Framework for Insurance Intelligence Operation. - Xinxin Jiang; Shirui Pan; Guodong Long; Fei Xiong; Jing Jiang 002; Chengqi Zhang (IEEE Trans. Ind. Electron., 2019)

Deep Learning From Noisy Image Labels With Quality Embedding. - Jiangchao Yao; Jiajie Wang; Ivor W. Tsang; Ya Zhang 002; Jun Sun 005; Chengqi Zhang; Rui Zhang (IEEE Trans. Image Process., 2019)

CFOND: Consensus Factorization for Co-Clustering Networked Data. - Ting Guo; Shirui Pan; Xingquan Zhu 001; Chengqi Zhang (IEEE Trans. Knowl. Data Eng., 2019)

Improved Consistent Weighted Sampling Revisited. - Wei Wu 011; Bin Li 015; Ling Chen 006; Chengqi Zhang; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2019)

Attribute Propagation Network for Graph Zero-Shot Learning. - Lu Liu 019; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Chengqi Zhang (AAAI, 2020)

Competitive and Cooperative Heterogeneous Deep Reinforcement Learning. - Han Zheng; Jing Jiang 002; Pengfei Wei 001; Guodong Long; Chengqi Zhang (AAMAS, 2020)

Deep Reinforcement Learning with Transformers for Text Adventure Games. - Yunqiu Xu; Ling Chen 006; Meng Fang; Yang Wang 023; Chengqi Zhang (CoG, 2020)

RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion. - Hao Huang; Guodong Long; Tao Shen 001; Jing Jiang 002; Chengqi Zhang (COLING, 2020)

Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention. - Yang Li 154; Tao Shen 001; Guodong Long; Jing Jiang 002; Tianyi Zhou 001; Chengqi Zhang (COLING, 2020)

BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes. - Xueping Peng; Guodong Long; Tao Shen 001; Sen Wang 001; Jing Jiang 002; Chengqi Zhang (ICDM, 2020)

Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering. - Tao Shen 001; Xiubo Geng; Guodong Long; Jing Jiang 002; Chengqi Zhang; Daxin Jiang (IJCAI, 2020)

Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks. - Zonghan Wu; Shirui Pan; Guodong Long; Jing Jiang 002; Xiaojun Chang; Chengqi Zhang (KDD, 2020)

Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games. - Yunqiu Xu; Meng Fang; Ling Chen 006; Yali Du 001; Joey Tianyi Zhou; Chengqi Zhang (NeurIPS, 2020)

Cooperative Heterogeneous Deep Reinforcement Learning. - Han Zheng; Pengfei Wei 001; Jing Jiang 002; Guodong Long; Qinghua Lu 001; Chengqi Zhang (NeurIPS, 2020)

Measuring Time-Sensitive and Topic-Specific Influence in Social Networks With LSTM and Self-Attention. - Cheng Zheng 004; Qin Zhang 011; Guodong Long; Chengqi Zhang; Sean D. Young; Wei Wang 010 (IEEE Access, 2020)

Towards Coarse and Fine-grained Multi-Graph Multi-Label Learning. - Yejiang Wang; Yuhai Zhao; Zhengkui Wang; Chengqi Zhang (CoRR, 2020)

Community detection in complex network based on APT method. - Qingfeng Chen; Yulu Qiao; Fang Hu 001; Yongjie Li; Kai Tan; Mingrui Zhu; Chengqi Zhang (Pattern Recognit. Lett., 2020)

Network Representation Learning: A Survey. - Daokun Zhang; Jie Yin 001; Xingquan Zhu 001; Chengqi Zhang (IEEE Trans. Big Data, 2020)

Learning Graph Embedding With Adversarial Training Methods. - Shirui Pan; Ruiqi Hu; Sai-Fu Fung; Guodong Long; Jing Jiang 002; Chengqi Zhang (IEEE Trans. Cybern., 2020)

Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis, and Case Study. - Yan Yan 006; Mingkui Tan; Ivor W. Tsang; Yi Yang 001; Qinfeng Shi; Chengqi Zhang (IEEE Trans. Knowl. Data Eng., 2020)

Time-Variant Graph Classification. - Haishuai Wang; Jia Wu 001; Xingquan Zhu 001; Yixin Chen 001; Chengqi Zhang (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Social Recommendation With Evolutionary Opinion Dynamics. - Fei Xiong; Ximeng Wang; Shirui Pan; Hong Yang 003; Haishuai Wang; Chengqi Zhang (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Federated Learning for Open Banking. - Guodong Long; Yue Tan; Jing Jiang 002; Chengqi Zhang (Federated Learning, 2020)

Semi-supervised Variational Multi-view Anomaly Detection. - Shaoshen Wang; Ling Chen 006; Farookh Khadeer Hussain; Chengqi Zhang (APWeb/WAIM (1), 2021)

Influence Between Music Based on Big Data Analysis. - Hongxin Wu; Chengqi Zhang (CIS, 2021)

Generalization in Text-based Games via Hierarchical Reinforcement Learning. - Yunqiu Xu; Meng Fang; Ling Chen 006; Yali Du 001; Chengqi Zhang (EMNLP (Findings), 2021)

Isometric Propagation Network for Generalized Zero-shot Learning. - Lu Liu 019; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Xuanyi Dong; Chengqi Zhang (ICLR, 2021)

Cross-aligned and Gumbel-refactored Autoencoders for Multi-view Anomaly Detection. - Shaoshen Wang; Yanbin Liu; Ling Chen 006; Chengqi Zhang (ICTAI, 2021)

Multi-graph Multi-label Learning with Dual-granularity Labeling. - Yuhai Zhao; Yejiang Wang; Zhengkui Wang; Chengqi Zhang (KDD, 2021)

MIMO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning. - Xueping Peng; Guodong Long; Tao Shen 001; Sen Wang 001; Zhendong Niu; Chengqi Zhang (CoRR, 2021)

Federated Learning for Open Banking. - Guodong Long; Yue Tan; Jing Jiang 002; Chengqi Zhang (CoRR, 2021)

Editorial: deep learning for 5G IoT systems. - Xiaochun Cheng; Chengqi Zhang; Yi Qian 001; Moayad Aloqaily; Yang Xiao 001 (Int. J. Mach. Learn. Cybern., 2021)

Search Efficient Binary Network Embedding. - Daokun Zhang; Jie Yin 001; Xingquan Zhu 001; Chengqi Zhang (ACM Trans. Knowl. Discov. Data, 2021)

A Comprehensive Survey on Graph Neural Networks. - Zonghan Wu; Shirui Pan; Fengwen Chen; Guodong Long; Chengqi Zhang; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2021)

FedProto: Federated Prototype Learning across Heterogeneous Clients. - Yue Tan; Guodong Long; Lu Liu 019; Tianyi Zhou 001; Qinghua Lu 001; Jing Jiang 002; Chengqi Zhang (AAAI, 2022)

Perceiving the World: Question-guided Reinforcement Learning for Text-based Games. - Yunqiu Xu; Meng Fang; Ling Chen 006; Yali Du 001; Joey Tianyi Zhou; Chengqi Zhang (ACL (1), 2022)

Robust Clustered Federated Learning with Bootstrap Median-of-Means. - Ming Xie; Jie Ma; Guodong Long; Chengqi Zhang (APWeb/WAIM (1), 2022)

EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning. - Shuang Ao; Tianyi Zhou 001; Jing Jiang 002; Guodong Long; Xuan Song 001; Chengqi Zhang (ICML, 2022)

Diminishing Empirical Risk Minimization for Unsupervised Anomaly Detection. - Shaoshen Wang; Yanbin Liu; Ling Chen 006; Chengqi Zhang (IJCNN, 2022)

On the Convergence of Clustered Federated Learning. - Jie Ma; Guodong Long; Tianyi Zhou 001; Jing Jiang 002; Chengqi Zhang (CoRR, 2022)

Deep neighbor-aware embedding for node clustering in attributed graphs. - Chun Wang; Shirui Pan; Celina Ping Yu; Ruiqi Hu; Guodong Long; Chengqi Zhang (Pattern Recognit., 2022)

The Role of Soil Salinization in Shaping the Spatio-Temporal Patterns of Soil Organic Carbon Stock. - Wenli Zhang; Wei Zhang; Yubing Liu; Jutao Zhang; Linshan Yang; Zengru Wang; Zhongchao Mao; Shi Qi; Chengqi Zhang; Zhenliang Yin (Remote. Sens., 2022)

Reinforcement Learning With Multiple Relational Attention for Solving Vehicle Routing Problems. - Yunqiu Xu; Meng Fang; Ling Chen 006; Gangyan Xu; Yali Du 001; Chengqi Zhang (IEEE Trans. Cybern., 2022)

Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy. - Lu Liu 019; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Chengqi Zhang (IEEE Trans. Knowl. Data Eng., 2022)

A Review for Weighted MinHash Algorithms. - Wei Wu 011; Bin Li 015; Ling Chen 006; Junbin Gao; Chengqi Zhang (IEEE Trans. Knowl. Data Eng., 2022)

Extracting Local Reasoning Chains of Deep Neural Networks. - Haiyan Zhao; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Chengqi Zhang (Trans. Mach. Learn. Res., 2022)

Federated Learning on Non-IID Graphs via Structural Knowledge Sharing. - Yue Tan; Yixin Liu 001; Guodong Long; Jing Jiang 002; Qinghua Lu 001; Chengqi Zhang (AAAI, 2023)

Improving the Robustness of Summarization Systems with Dual Augmentation. - Xiuying Chen; Guodong Long; Chongyang Tao; Mingzhe Li 001; Xin Gao 001; Chengqi Zhang; Xiangliang Zhang 001 (ACL (1), 2023)

Mask- and Contrast-Enhanced Spatio-Temporal Learning for Urban Flow Prediction. - Xu Zhang 039; Yongshun Gong; Xinxin Zhang 004; Xiaoming Wu; Chengqi Zhang; Xiangjun Dong 001 (CIKM, 2023)

A Review for Weighted MinHash Algorithms (Extended abstract). - Wei Wu 011; Bin Li 015; Ling Chen 006; Junbin Gao; Chengqi Zhang (ICDE, 2023)

Does Continual Learning Equally Forget All Parameters? - Haiyan Zhao; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Chengqi Zhang (ICML, 2023)

Dual Personalization on Federated Recommendation. - Chunxu Zhang; Guodong Long; Tianyi Zhou 001; Peng Yan 002; Zijian Zhang 009; Chengqi Zhang; Bo Yang 002 (IJCAI, 2023)

Structured Federated Learning through Clustered Additive Modeling. - Jie Ma; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Chengqi Zhang (NeurIPS, 2023)

RiskContra: A Contrastive Approach to Forecast Traffic Risks with Multi-Kernel Networks. - Changlu Chen; Yanbin Liu; Ling Chen 006; Chengqi Zhang (PAKDD (4), 2023)

Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks. - Haiyan Zhao; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Chengqi Zhang (ECML/PKDD (2), 2023)

Causal Reinforcement Learning: A Survey. - Zhihong Deng 001; Jing Jiang 002; Guodong Long; Chengqi Zhang (CoRR, 2023)

Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey. - Shengchao Chen; Guodong Long; Jing Jiang 002; Dikai Liu; Chengqi Zhang (CoRR, 2023)

Causal Reinforcement Learning: A Survey. - Zhihong Deng; Jing Jiang 002; Guodong Long; Chengqi Zhang (Trans. Mach. Learn. Res., 2023)

Shared dynamics learning for large-scale traveling salesman problem. - Yunqiu Xu; Meng Fang; Ling Chen 006; Yali Du 001; Gangyan Xu; Chengqi Zhang (Adv. Eng. Informatics, 2023)

An Efficient Method for Modeling Nonoccurring Behaviors by Negative Sequential Patterns With Loose Constraints. - Ping Qiu; Yongshun Gong; Yuhai Zhao; Longbing Cao; Chengqi Zhang; Xiangjun Dong 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Beyond Low-Pass Filtering: Graph Convolutional Networks With Automatic Filtering. - Zonghan Wu; Shirui Pan; Guodong Long; Jing Jiang 002; Chengqi Zhang (IEEE Trans. Knowl. Data Eng., 2023)

Improved Understanding of Trade-Offs and Synergies in Ecosystem Services via Fine Land-Use Classification and Multi-Scale Analysis in the Arid Region of Northwest China. - Yingqing Su; Qi Feng; Wei Liu; Meng Zhu; Honghua Xia; Xiaohong Ma; Wenju Cheng; Jutao Zhang; Chengqi Zhang; Linshan Yang; Xinwei Yin (Remote. Sens., 2023)

Bidirectional Spatial-Temporal Adaptive Transformer for Urban Traffic Flow Forecasting. - Changlu Chen; Yanbin Liu; Ling Chen 006; Chengqi Zhang (IEEE Trans. Neural Networks Learn. Syst., 2023)

Spatio-temporal fusion and contrastive learning for urban flow prediction. - Xu Zhang 039; Yongshun Gong; Chengqi Zhang; Xiaoming Wu; Ying Guo; Wenpeng Lu; Long Zhao 002; Xiangjun Dong 001 (Knowl. Based Syst., 2023)

Federated Prompt Learning for Weather Foundation Models on Devices. - Shengchao Chen; Guodong Long; Tao Shen 001; Jing Jiang 002; Chengqi Zhang (IJCAI, 2024)

What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning. - Zhihong Deng; Jing Jiang 002; Guodong Long; Chengqi Zhang (IJCAI, 2024)

Seeing Text in the Dark: Algorithm and Benchmark. - Chengpei Xu; Hao Fu 004; Long Ma 002; Wenjing Jia; Chengqi Zhang; Feng Xia 001; Xiaoyu Ai; Binghao Li; Wenjie Zhang 001 (ACM Multimedia, 2024)

ARC: A Generalist Graph Anomaly Detector with In-Context Learning. - Yixin Liu 001; Shiyuan Li; Yu Zheng 013; Qingfeng Chen; Chengqi Zhang; Shirui Pan (NeurIPS, 2024)

Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models. - Shengchao Chen; Guodong Long; Jing Jiang 002; Chengqi Zhang (NeurIPS, 2024)

Mind the Gap Between Prototypes and Images in Cross-domain Finetuning. - Hongduan Tian; Feng Liu 003; Zhanke Zhou; Tongliang Liu; Chengqi Zhang; Bo Han 003 (NeurIPS, 2024)

Multivariate Traffic Demand Prediction via 2D Spectral Learning and Global Spatial Optimization. - Changlu Chen; Yanbin Liu; Ling Chen 006; Chengqi Zhang (ECML/PKDD (2), 2024)

Test-Time Training for Spatial-Temporal Forecasting. - Changlu Chen; Yanbin Liu; Ling Chen 006; Chengqi Zhang (SDM, 2024)

On-Device Recommender Systems: A Comprehensive Survey. - Hongzhi Yin; Liang Qu; Tong Chen 005; Wei Yuan 003; Ruiqi Zheng; Jing Long; Xin Xia 013; Yuhui Shi 001; Chengqi Zhang (CoRR, 2024)

Algorithmic Fairness: A Tolerance Perspective. - Renqiang Luo; Tao Tang 007; Feng Xia 001; Jiaying Liu 001; Chengpei Xu; Leo Yu Zhang; Wei Xiang; Chengqi Zhang (CoRR, 2024)

Gradient Transformation: Towards Efficient and Model-Agnostic Unlearning for Dynamic Graph Neural Networks. - He Zhang 012; Bang Wu; Xiangwen Yang; Xingliang Yuan; Chengqi Zhang; Shirui Pan (CoRR, 2024)

Multi-Level Additive Modeling for Structured Non-IID Federated Learning. - Shutong Chen; Tianyi Zhou 001; Guodong Long; Jie Ma; Jing Jiang 002; Chengqi Zhang (CoRR, 2024)

Graph Stochastic Neural Process for Inductive Few-shot Knowledge Graph Completion. - Zicheng Zhao; Linhao Luo; Shirui Pan; Chengqi Zhang; Chen Gong 002 (CoRR, 2024)

Influence-oriented Personalized Federated Learning. - Yue Tan; Guodong Long; Jing Jiang 002; Chengqi Zhang (CoRR, 2024)

WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents. - Siyu Zhou; Tianyi Zhou 001; Yijun Yang; Guodong Long; Deheng Ye; Jing Jiang 002; Chengqi Zhang (CoRR, 2024)

Personalized Item Representations in Federated Multimodal Recommendation. - Zhiwei Li 007; Guodong Long; Jing Jiang 002; Chengqi Zhang (CoRR, 2024)

Towards Next-Generation LLM-based Recommender Systems: A Survey and Beyond. - Qi Wang 078; Jindong Li 002; Shiqi Wang 006; Qianli Xing 002; Runliang Niu; He Kong; Rui Li 049; Guodong Long; Yi Chang 001; Chengqi Zhang (CoRR, 2024)

Mining actionable repetitive positive and negative sequential patterns. - Chuanhou Sun; Xiaoqiang Ren; Xiangjun Dong 001; Ping Qiu; Xiaoming Wu; Long Zhao 002; Ying Guo; Yongshun Gong; Chengqi Zhang (Knowl. Based Syst., 2024)

Robust Multi-Graph Multi-Label Learning With Dual-Granularity Labeling. - Yejiang Wang; Yuhai Zhao; Zhengkui Wang; Chengqi Zhang; Xingwei Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Transductive Reward Inference on Graph. - Bohao Qu; Xiaofeng Cao 002; Qing Guo 005; Yi Chang 001; Ivor W. Tsang; Chengqi Zhang (IEEE Trans. Knowl. Data Eng., 2024)

Federated Foundation Models on Heterogeneous Time Series. - Shengchao Chen; Guodong Long; Jing Jiang 002; Chengqi Zhang (AAAI, 2025)

Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach. - Zhiwei Li 007; Guodong Long; Tianyi Zhou 001; Jing Jiang 002; Chengqi Zhang (AAAI, 2025)

Biologically Plausible Brain Graph Transformer. - Ciyuan Peng; Yuelong Huang; Qichao Dong; Shuo Yu 001; Feng Xia 001; Chengqi Zhang; Yaochu Jin (ICLR, 2025)

TK-RNSP: Efficient Top-K Repetitive Negative Sequential Pattern mining. - Dun Lan; Chuanhou Sun; Xiangjun Dong 001; Ping Qiu; Yongshun Gong; Xinwang Liu 002; Philippe Fournier-Viger; Chengqi Zhang (Inf. Process. Manag., 2025)

Enhancing urban flow prediction via mutual reinforcement with multi-scale regional information. - Xu Zhang 039; Mengxin Cao; Yongshun Gong; Xiaoming Wu; Xiangjun Dong 001; Ying Guo; Long Zhao 002; Chengqi Zhang (Neural Networks, 2025)

Federated Generalized Novel Category Discovery with Prompts Tuning. - Lei Shen; Nan Pu; Zhun Zhong; Mingming Gong; Dianhai Yu; Chengqi Zhang; Bo Han 003 (Trans. Mach. Learn. Res., 2025)

FedMerge: Federated Personalization via Model Merging. - Shutong Chen; Tianyi Zhou 001; Guodong Long; Jing Jiang 002; Chengqi Zhang (CoRR, 2025)

WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents. - Siyu Zhou; Tianyi Zhou 001; Yijun Yang; Guodong Long; Deheng Ye; Jing Jiang 002; Chengqi Zhang (CoRR, 2025)

Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning. - Puning Yang; Qizhou Wang; Zhuo Huang; Tongliang Liu; Chengqi Zhang; Bo Han 003 (CoRR, 2025)

Federated Low-Rank Adaptation for Foundation Models: A Survey. - Yiyuan Yang; Guodong Long; Qinghua Lu 001; Liming Zhu 001; Jing Jiang 002; Chengqi Zhang (CoRR, 2025)

Learn to Preserve Personality: Federated Foundation Models in Recommendations. - Zhiwei Li 007; Guodong Long; Chunxu Zhang; Honglei Zhang; Jing Jiang 002; Chengqi Zhang (CoRR, 2025)

Robust Dynamic Material Handling via Adaptive Constrained Evolutionary Reinforcement Learning. - Chengpeng Hu; Ziming Wang; Bo Yuan 006; Jialin Liu 001; Chengqi Zhang; Xin Yao 001 (CoRR, 2025)

Assemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation. - Shiyuan Li; Yixin Liu 001; Qingsong Wen; Chengqi Zhang; Shirui Pan (CoRR, 2025)

Adaptive Traffic Forecasting on Daily Basis: A Spatio-Temporal Context Learning Approach. - Xiaoyu Li; Yitian Zhang; Guodong Long; Yupeng Hu; Wenpeng Lu; Meng Chen 003; Chengqi Zhang; Yongshun Gong (IEEE Trans. Knowl. Data Eng., 2025)

STDA: Spatio-Temporal Deviation Alignment Learning for Cross-City Fine-Grained Urban Flow Inference. - Min Yang 006; Xiaoyu Li; Bin Xu; Xiushan Nie; Muming Zhao; Chengqi Zhang; Yu Zheng 004; Yongshun Gong (IEEE Trans. Knowl. Data Eng., 2025)