A Prototype of Multi-Objective Group Decision Support System with a Group AggregationMethod base. - Jie Lu 001; Mohammed Quaddus (ACIS, 2001)

Choosing LSI Dimensions by Document Linear Association Analysis. - Chenggen Shi; Jie Lu 001 (IKE, 2003)

Formulation of fuzzy linear programming problems as four-objective constrained optimization problems. - Guangquan Zhang 001; Yonghong Wu; M. Remias; Jie Lu 001 (Appl. Math. Comput., 2003)

A Model for Evaluating E-Commerce Based on Cost/Benefit and Customer Satisfaction. - Jie Lu 001 (Inf. Syst. Frontiers, 2003)

A Text Mining Model by Using Weighting Technology. - Chenggen Shi; Jie Lu 001 (AMCIS, 2004)

A Decision Support System for Multiple Objective Linear Programming with Fuzzy Parameters. - Fengjie Wu; Jie Lu 001; Guangquan Zhang 001 (EEE, 2004)

A recommender system by two-level collaborative filtering. - Xuetao Guo; Jie Lu 001; Guangquan Zhang 001 (IASTED Conf. on Software Engineering and Applications, 2004)

Development, Distribution and Evaluation of Online Tourism Services in China. - Jie Lu 001; Zi Lu (Electron. Commer. Res., 2004)

Negotiating Multi-Issue e-Market Auction through Fuzzy Attitudes. - Madhu Lata Goyal; Jie Lu 001; Guangquan Zhang 001 (CIMCA/IAWTIC, 2005)

A decision support system prototype for fuzzy multiple objective optimization. - Fengjie Wu; Jie Lu 001; Guangquan Zhang 001 (EUSFLAT Conf., 2005)

Multi-follower linear bilevel programming: model and Kuhn-Tucker approach. - Jie Lu 001; Chenggen Shi; Guangquan Zhang 001; Da Ruan 001 (IADIS AC, 2005)

A Fuzzy Relational Approach to Event Recommendation. - Chris Cornelis; Xuetao Guo; Jie Lu 001; Guanquang Zhang (IICAI, 2005)

Development and Implementation on a Fuzzy Multiple Objective Decision Support System. - Fengjie Wu; Jie Lu 001; Guangquan Zhang 001 (KES (1), 2005)

An extended Kuhn-Tucker approach for linear bilevel multifollower programming with partial shared variables among followers. - Chenggen Shi; Jie Lu 001; Guangquan Zhang 001; Hong Zhou 005 (SMC, 2005)

Recommending Trade Exhibitions by Integrating Semantic Information with Collaborative Filtering. - Xuetao Guo; Jie Lu 001 (Web Intelligence, 2005)

A Semantic Classification Approach for Online Product Reviews. - Chao Wang 048; Jie Lu 001; Guangquan Zhang 001 (Web Intelligence, 2005)

An extended Kuhn-Tucker approach for linear bilevel programming. - Chenggen Shi; Jie Lu 001; Guangquan Zhang 001 (Appl. Math. Comput., 2005)

An extended Kth-best approach for linear bilevel programming. - Chenggen Shi; Jie Lu 001; Guangquan Zhang 001 (Appl. Math. Comput., 2005)

On the definition of linear bilevel programming solution. - Chenggen Shi; Guangquan Zhang 001; Jie Lu 001 (Appl. Math. Comput., 2005)

Web-based Multi-Criteria Group Decision Support System with Linguistic Term Processing Function. - Jie Lu 001; Guangquan Zhang 001; Fengjie Wu (IEEE Intell. Informatics Bull., 2005)

The Definition of Optimal Solution and an Extended Kuhn-Tucker Approach for Fuzzy Linear Bilevel Programming. - Guangquan Zhang 001; Jie Lu 001 (IEEE Intell. Informatics Bull., 2005)

The K th-Best Approach for Linear Bilevel Multi-follower Programming. - Chenggen Shi; Guangquan Zhang 001; Jie Lu 001 (J. Glob. Optim., 2005)

Personalized Multi-Stage Decision Support in Reverse Logistics Management. - Jie Lu 001; Guangquan Zhang 001 (Intelligent Data Mining, 2005)

Rule sets based bilevel decision model. - Zheng Zheng 001; Guangquan Zhang 001; Qing He 003; Jie Lu 001; Zhongzhi Shi (ACSC, 2006)

Customer Online Shopping Behaviours Analysis Using Bayesian Networks. - Zi Lu; Jie Lu 001; Chenggang Bai; Guangquan Zhang 001 (Australian Conference on Artificial Intelligence, 2006)

A Novel Fuzzy Attitude Based Bidding Strategy for Multi-attribute Auction. - Madhu Lata Goyal; Jie Lu 001; Guangquan Zhang 001 (IAT Workshops, 2006)

A Fast Data Preprocessing Procedure for Support Vector Regression. - Zhifeng Hao; Wen Wen; Xiaowei Yang 003; Jie Lu 001; Guangquan Zhang 001 (IDEAL, 2006)

Integration of Ontology Data through Learning Instance Matching. - Chao Wang 048; Jie Lu 001; Guangquan Zhang 001 (Web Intelligence, 2006)

An extended branch and bound algorithm for linear bilevel programming. - Chenggen Shi; Jie Lu 001; Guangquan Zhang 001; Hong Zhou 005 (Appl. Math. Comput., 2006)

A new approximate algorithm for solving multiple objective linear programming problems with fuzzy parameters. - Fengjie Wu; Jie Lu 001; Guangquan Zhang 001 (Appl. Math. Comput., 2006)

On bilevel multi-follower decision making: General framework and solutions. - Jie Lu 001; Chenggen Shi; Guangquan Zhang 001 (Inf. Sci., 2006)

A Two-level Information Filtering Model in Generating Warning Information. - Jun Ma 002; Jie Lu 001; Guangquan Zhang 001 (MCDM, 2007)

Skew-Tree Based Multistage Fuzzy Controller for Nonlinear Systems. - Abbas Khosravi; Jie Lu 001; Xianyi Zeng; Roohollah Barzamini (EUSFLAT Conf. (2), 2007)

The Development of A Fuzzy Multi-Objective Group Decision Support System. - Fengjie Wu; Jie Lu 001; Guangquan Zhang 001; Da Ruan 001 (FUZZ-IEEE, 2007)

Models and Algorithm for Fuzzy Multi-objective Multi-follower Linear Bilevel Programming. - Guangquan Zhang 001; Jie Lu 001; Tharam S. Dillon (FUZZ-IEEE, 2007)

Enriching Executives' Situation Awareness and Mental Models - A Conceptual ESS Framework. - Li Niu 001; Jie Lu 001; Guangquan Zhang 001 (ICEIS (2), 2007)

A Constrained Clustering Approach to Duplicate Detection Among Relational Data. - Chao Wang 048; Jie Lu 001; Guangquan Zhang 001 (PAKDD, 2007)

Generation and Matching of Ontology Data for the Semantic Web in a Peer-to-Peer Framework. - Chao Wang 048; Jie Lu 001; Guangquan Zhang 001 (APWeb/WAIM, 2007)

An Exploratory Cognitive Business Intelligence System. - Li Niu 001; Jie Lu 001; Eng Chew; Guangquan Zhang 001 (Web Intelligence, 2007)

Creating and Managing Ontology Data on the Web: A Semantic Wiki Approach. - Chao Wang 048; Jie Lu 001; Guangquan Zhang 001; Xianyi Zeng (WISE, 2007)

The Kth-best approach for linear bilevel multifollower programming with partial shared variables among followers. - Chenggen Shi; Hong Zhou 005; Jie Lu 001; Guangquan Zhang 001; Zhongwei Zhang (Appl. Math. Comput., 2007)

Mining key information of web pages: A method and its application. - Chao Wang 048; Jie Lu 001; Guangquan Zhang 001 (Expert Syst. Appl., 2007)

Intelligent e-government services with personalized recommendation techniques. - Xuetao Guo; Jie Lu 001 (Int. J. Intell. Syst., 2007)

Editorial: A special issue on e-service intelligence. - Jie Lu 001; Da Ruan 001; Guangquan Zhang 001; Hans-Jürgen Zimmermann (Int. J. Intell. Syst., 2007)

An Extended Branch and Bound Algorithm for bilevel Multi-Follower Decision Making in a Referential-Uncooperative Situation. - Jie Lu 001; Chenggen Shi; Guangquan Zhang 001; Da Ruan 001 (Int. J. Inf. Technol. Decis. Mak., 2007)

One-and-only item recommendation with fuzzy logic techniques. - Chris Cornelis; Jie Lu 001; Xuetao Guo; Guanquang Zhang (Inf. Sci., 2007)

Model and approach of fuzzy bilevel decision making for logistics planning problem. - Guangquan Zhang 001; Jie Lu 001 (J. Enterp. Inf. Manag., 2007)

Model and extended Kuhn-Tucker approach for bilevel multi-follower decision making in a referential-uncooperative situation. - Jie Lu 001; Chenggen Shi; Guangquan Zhang 001; Tharam S. Dillon (J. Glob. Optim., 2007)

On a generalized fuzzy goal optimization for solving fuzzy multi-objective linear programming problems. - Jie Lu 001; Fengjie Wu; Guangquan Zhang 001 (J. Intell. Fuzzy Syst., 2007)

Intelligent knowledge engineering systems. - Jie Lu 001; Da Ruan 001 (Knowl. Based Syst., 2007)

Decentralized multi-objective bilevel decision making with fuzzy demands. - Guangquan Zhang 001; Jie Lu 001; Tharam S. Dillon (Knowl. Based Syst., 2007)

An alpha-Fuzzy Goal Approximate Algorithm for Solving Fuzzy Multiple Objective Linear Programming Problems. - Jie Lu 001; Da Ruan 001; Fengjie Wu; Guangquan Zhang 001 (Soft Comput., 2007)

E-Service Cost Benefit Evaluation and Analysis. - Jie Lu 001; Chenggang Bai; Guangquan Zhang 001 (E-Service Intelligence, 2007)

E-Service Intelligence: An Introduction. - Jie Lu 001; Da Ruan 001; Guangquan Zhang 001 (E-Service Intelligence, 2007)

Multi-Objective Group Decision Making - Methods, Software and Applications with Fuzzy Set Techniques(With CD-ROM) - Jie Lu 001; Guangquan Zhang 001; Da Ruan 001; Fengjie Wu (WorldScientific, 2007)

A Fuzzy Decision Support System for Garment New Product Development. - Jie Lu 001; Yijun Zhu; Xianyi Zeng; Ludovic Koehl; Jun Ma 002; Guangquan Zhang 001 (Australasian Conference on Artificial Intelligence, 2008)

A particle swarm optimization based algorithm for fuzzy bilevel decision making. - Ya Gao 001; Guangquan Zhang 001; Jie Lu 001 (FUZZ-IEEE, 2008)

A fuzzy multi-criteria group decision support system for nonwoven based cosmetic product development evaluation. - Jie Lu 001; Xiaoguang Deng; Philippe Vroman; Xianyi Zeng; Jun Ma 002; Guangquan Zhang 001 (FUZZ-IEEE, 2008)

An ontology data matching method for web information integration. - Chao Wang 048; Jie Lu 001; Guangquan Zhang 001 (iiWAS, 2008)

m-Government: A framework of mobile-based emergency response systems. - Khaled Amailef; Jie Lu 001 (ISKE, 2008)

Semantic Web for E-Government Service Delivery Integration. - Farzad Sanati; Jie Lu 001 (ITNG, 2008)

A Particle Swarm Optimization Based Algorithm for Fuzzy Bilevel Decision Making with Objective-Shared Followers. - Ya Gao 001; Guangquan Zhang 001; Jie Lu 001 (SEAL, 2008)

Support vector machine-based multi-source multi-attribute information integration for situation assessment. - Jie Lu 001; Xiaowei Yang 003; Guangquan Zhang 001 (Expert Syst. Appl., 2008)

Team Situation Awareness using Web-Based Fuzzy Group Decision Support Systems. - Jie Lu 001; Guangquan Zhang 001; Fengjie Wu (Int. J. Comput. Intell. Syst., 2008)

An Extended Kth-Best Approach For Referential-Uncooperative Bilevel Multi-Follower Decision Making. - Guangquan Zhang 001; Chenggen Shi; Jie Lu 001 (Int. J. Comput. Intell. Syst., 2008)

A lambda-Cut Approximate Algorithm for Goal-Based bilevel Risk Management Systems. - Ya Gao 001; Guangquan Zhang 001; Jie Lu 001; Tharam S. Dillon; Xianyi Zeng (Int. J. Inf. Technol. Decis. Mak., 2008)

Fuzzy bilevel Programming: Multi-Objective and Multi-Follower with Shared Variables. - Guangquan Zhang 001; Jie Lu 001; Ya Gao 001 (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2008)

An algorithm for fuzzy multi-objective multi-follower partial cooperative bilevel programming. - Guangquan Zhang 001; Jie Lu 001; Ya Gao 001 (J. Intell. Fuzzy Syst., 2008)

Decision Making in Multi-Issue e-Market Auction Using Fuzzy Techniques and Negotiable Attitudes. - Madhu Lata Goyal; Jie Lu 001; Guang Zhang (J. Theor. Appl. Electron. Commer. Res., 2008)

Fuzzy Multi-objective Bilevel Decision Making by an Approximation Kth-Best Approach. - Jie Lu 001; Guangquan Zhang 001; Tharam S. Dillon (J. Multiple Valued Log. Soft Comput., 2008)

Intelligent multi-criteria fuzzy group decision-making for situation assessments. - Jie Lu 001; Guangquan Zhang 001; Da Ruan 001 (Soft Comput., 2008)

An Approximation Kuhn-Tucker Approach for Fuzzy Linear Bilevel Decision Making. - Guangquan Zhang 001; Jie Lu 001; Tharam S. Dillon (Intelligent Decision Making: An AI-Based Approach, 2008)

Fuzzy Set Techniques in E-Service Applications. - Jie Lu 001; Da Ruan 001; Guangquan Zhang 001 (Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, 2008)

Impute Missing Assessments by Opinion Clustering in Multi-Criteria Group Decision Making Problems. - Jun Ma 002; Guangquan Zhang 001; Jie Lu 001; Da Ruan 001 (IFSA/EUSFLAT Conf., 2009)

A Fuzzy Bi-level Pricing Model and a PSO Based Algorithm in Supply Chains. - Ya Gao 001; Guangquan Zhang 001; Jie Lu 001; Hui-Ming Wee (ICONIP (2), 2009)

Maintaining Footprint-Based Retrieval for Case Deletion. - Ning Lu 007; Jie Lu 001; Guangquan Zhang 001 (ICONIP (2), 2009)

A framework for delivering personalized e-government services from a citizen-centric approach. - Malak Al-hassan; Haiyan Lu; Jie Lu 001 (iiWAS, 2009)

An Integrated Knowledge Adaption Framework for Case-Based Reasoning Systems. - Ning Lu 007; Jie Lu 001; Guangquan Zhang 001 (KES (2), 2009)

A Fuzzy Bilevel Model and a PSO-Based Algorithm for Day-Ahead Electricity Market Strategy Making. - Guangquan Zhang 001; Guoli Zhang; Ya Gao 001; Jie Lu 001 (KES (2), 2009)

A Decision Making Model for Vendor-Buyer Inventory Systems. - Hui-Ming Wee; Jie Lu 001; Guangquan Zhang 001; Huai-En Chiao; Ya Gao 001 (RSFDGrC, 2009)

A particle swarm optimization based algorithm for fuzzy bilevel decision making with constraints-shared followers. - Ya Gao 001; Guangquan Zhang 001; Jie Lu 001 (SAC, 2009)

A Bilevel Optimization Model and a PSO-based Algorithm in Day-ahead Electricity Markets. - Guangquan Zhang 001; Jie Lu 001; Ya Gao 001; Guoli Zhang (SMC, 2009)

A Hybrid Knowledge-based Prediction Method for Avian Influenza Early Warning. - Guangquan Zhang 001; Jie Zhang 024; Jie Lu 001 (SMC, 2009)

Cost-benefit factor analysis in e-services using bayesian networks. - Jie Lu 001; Chenggang Bai; Guangquan Zhang 001 (Expert Syst. Appl., 2009)

Information inconsistencies detection using a rule-map technique. - Jun Ma 002; Jie Lu 001; Guangquan Zhang 001 (Expert Syst. Appl., 2009)

Rule sets based bilevel decision model and algorithm. - Zheng Zheng 001; Jie Lu 001; Guangquan Zhang 001; Qing He 003 (Expert Syst. Appl., 2009)

A linguistic multi-criteria group decision support system for fabric hand evaluation. - Jie Lu 001; Yijun Zhu; Xianyi Zeng; Ludovic Koehl; Jun Ma 002; Guangquan Zhang 001 (Fuzzy Optim. Decis. Mak., 2009)

Operation properties and delta-equalities of complex fuzzy sets. - Guangquan Zhang 001; Tharam S. Dillon; Kai-Yuan Cai; Jun Ma 002; Jie Lu 001 (Int. J. Approx. Reason., 2009)

A Fuzzy Multi-Objective bilevel Decision Support System. - Ya Gao 001; Guangquan Zhang 001; Jie Lu 001 (Int. J. Inf. Technol. Decis. Mak., 2009)

Web ontology data matching for integration: method and framework. - Chao Wang 048; Jie Lu 001; Guangquan Zhang 001 (Int. J. Web Inf. Syst., 2009)

A linguistic intelligent user guide for method selection in multi-objective decision support systems. - Guangquan Zhang 001; Jie Lu 001 (Inf. Sci., 2009)

Cognition-Driven Decision Support for Business Intelligence: Models, Techniques, Systems and Applications - Li Niu 001; Jie Lu 001; Guangquan Zhang 001 (Springer, 2009)

Delta-equalities of Complex Fuzzy Relations. - Guangquan Zhang 001; Tharam S. Dillon; Kai-Yuan Cai; Jun Ma 002; Jie Lu 001 (AINA, 2010)

Trust-Based Decision Making in Dynamic Environments. - Will Tao; Jie Lu 001 (GrC, 2010)

A Hybrid Approach for Fault Tree Analysis Combining Probabilistic Method with Fuzzy Numbers. - Julwan Hendry Purba; Jie Lu 001; Da Ruan 001; Guangquan Zhang 001 (ICAISC (1), 2010)

Detecting Change via Competence Model. - Ning Lu 007; Guangquan Zhang 001; Jie Lu 001 (ICCBR, 2010)

Ontology-style Web usage model for semantic Web applications. - Thi Thanh Sang Nguyen; Haiyan Lu; Jie Lu 001 (ISDA, 2010)

A fuzzy matching based recommendation approach for mobile products/services. - Dianshuang Wu; Jie Lu 001; Guangquan Zhang 001; Hua Lin (ISDA, 2010)

Fault diagnosis of transformer using association rule mining and knowledge base. - Tiefeng Zhang; Jie Lu 001; Guangquan Zhang 001; Qian Ding (ISDA, 2010)

Adaptive inference-based learning and rule generation algorithms in Fuzzy Neural Network for failure prediction. - Vahid Behbood; Jie Lu 001; Guangquan Zhang 001 (ISKE, 2010)

A hybrid recommendation approach for hierarchical items. - Dianshuang Wu; Jie Lu 001; Guangquan Zhang 001 (ISKE, 2010)

A Framework of Hybrid Recommendation System for Government-to-Business Personalized E-Services. - Qusai Shambour; Jie Lu 001 (ITNG, 2010)

A Knowledge-based Efficiency Assessment System for Distribution Network using Data Envelopment Analysis. - Tiefeng Zhang; Lisong Liang; Jie Lu 001; Hua Lin; Guangquan Zhang 001 (RCIS, 2010)

Lifeevent ontology oriented e-government service integration. - Farzad Sanati; Jie Lu 001 (SOCA, 2010)

A Framework for Delivering Personalized e-Government Tourism Services. - Malak Al-hassan; Helen Lu; Jie Lu 001 (WEBIST (2), 2010)

Personalized e-Government Services: Tourism Recommender System Framework. - Malak Al-hassan; Haiyan Lu; Jie Lu 001 (WEBIST (Selected Papers), 2010)

Collaborative management of web ontology data with flexible access control. - Jie Lu 001; Chao Wang 048; Guangquan Zhang 001; Jun Ma 002 (Expert Syst. Appl., 2010)

Power Distribution System Planning Evaluation by a Fuzzy Multi-Criteria Group Decision Support System. - Tiefeng Zhang; Guangquan Zhang 001; Jun Ma 002; Jie Lu 001 (Int. J. Comput. Intell. Syst., 2010)

BizSeeker: A hybrid semantic recommendation system for personalized government-to-business e-services. - Jie Lu 001; Qusai Shambour; Yisi Xu; Qing Lin; Guangquan Zhang 001 (Internet Res., 2010)

Model, solution concept, and Kth-best algorithm for linear trilevel programming. - Guangquan Zhang 001; Jie Lu 001; Javier Montero; Yi Zeng (Inf. Sci., 2010)

Fuzzy bilevel programming with multiple objectives and cooperative multiple followers. - Guangquan Zhang 001; Jie Lu 001 (J. Glob. Optim., 2010)

Multi-criteria Group Decision Support with Linguistic Variables in Long-term Scenarios for Belgian Energy Policy. - Da Ruan 001; Jie Lu 001; Erik Laes; Guangquan Zhang 001; Jun Ma 002; Gaston Meskens (J. Univers. Comput. Sci., 2010)

A special issue on Intelligent Decision Support and Warning Systems. - Jie Lu 001; Da Ruan 001; Guangquan Zhang 001 (Knowl. Based Syst., 2010)

Decider: A fuzzy multi-criteria group decision support system. - Jun Ma 002; Jie Lu 001; Guangquan Zhang 001 (Knowl. Based Syst., 2010)

A state-based knowledge representation approach for information logical inconsistency detection in warning systems. - Jun Ma 002; Guangquan Zhang 001; Jie Lu 001 (Knowl. Based Syst., 2010)

A special issue on decision intelligence with soft computing. - Jie Lu 001; Guangquan Zhang 001 (Soft Comput., 2010)

Team situation awareness measure using semantic utility functions for supporting dynamic decision-making. - Jun Ma 002; Jie Lu 001; Guangquan Zhang 001 (Soft Comput., 2010)

Adaptive pruning algorithm for least squares support vector machine classifier. - Xiaowei Yang 003; Jie Lu 001; Guangquan Zhang 001 (Soft Comput., 2010)

A bm Lambda -Cut and Goal-Programming-Based Algorithm for Fuzzy-Linear Multiple-Objective Bilevel Optimization. - Ya Gao 001; Guangquan Zhang 001; Jun Ma 002; Jie Lu 001 (IEEE Trans. Fuzzy Syst., 2010)

Pricing Analysis in Online Auctions Using Clustering and Regression Tree Approach. - Preetinder Kaur; Madhu Lata Goyal; Jie Lu 001 (ADMI, 2011)

Data mining driven agents for predicting online auction's end price. - Preetinder Kaur; Madhu Lata Goyal; Jie Lu 001 (CIDM, 2011)

Intelligent financial warning model using Fuzzy Neural Network and case-based reasoning. - Vahid Behbood; Jie Lu 001 (CIFEr, 2011)

Combining one class classification models for avian influenza outbreaks. - Jie Zhang 024; Jie Lu 001; Guangquan Zhang 001 (MCDM, 2011)

Integrating Multi-Criteria Collaborative Filtering and Trust filtering for personalized Recommender Systems. - Qusai Shambour; Jie Lu 001 (MCDM, 2011)

An Innovative Self-Adaptive Configuration Optimization System in Cloud Computing. - Jing Jiang 002; Jie Lu 001; Guangquan Zhang 001 (DASC, 2011)

Government-to-Business Personalized e-Services Using Semantic-Enhanced Recommender System. - Qusai Shambour; Jie Lu 001 (EGOVIS, 2011)

Long term bank failure prediction using Fuzzy Refinement-based Transductive Transfer learning. - Vahid Behbood; Jie Lu 001; Guangquan Zhang 001 (FUZZ-IEEE, 2011)

Modelling Heterogeneity among Experts in Multi-criteria Group Decision Making Problems. - Ignacio J. Pérez; Sergio Alonso; Francisco Javier Cabrerizo; Jie Lu 001; Enrique Herrera-Viedma (MDAI, 2011)

Scaling-Up Item-Based Collaborative Filtering Recommendation Algorithm Based on Hadoop. - Jing Jiang 002; Jie Lu 001; Guangquan Zhang 001; Guodong Long (SERVICES, 2011)

A Hybrid Multi-criteria Semantic-Enhanced Collaborative Filtering Approach for Personalized Recommendations. - Qusai Shambour; Jie Lu 001 (Web Intelligence, 2011)

An Algorithm for Solving Rule Sets-Based Bilevel Decision Problems. - Guangquan Zhang 001; Zheng Zheng 001; Jie Lu 001; Qing He 003 (Comput. Intell., 2011)

A knowledge-based multi-role decision support system for ore blending cost optimization of blast furnaces. - Ruijun Zhang; Jie Lu 001; Guangquan Zhang 001 (Eur. J. Oper. Res., 2011)

Similarity measure models and algorithms for hierarchical cases. - Dianshuang Wu; Jie Lu 001; Guangquan Zhang 001 (Expert Syst. Appl., 2011)

A Seasonal Auto-Regressive Model Based Support Vector Regression Prediction Method for H5N1 avian Influenza Animal Events. - Jie Zhang 024; Jie Lu 001; Guangquan Zhang 001 (Int. J. Comput. Intell. Appl., 2011)

Joint Sub-Classifiers One Class Classification Model for avian Influenza Outbreak Detection. - Jie Zhang 024; Jie Lu 001; Guangquan Zhang 001 (Int. J. Comput. Intell. Appl., 2011)

A hybrid trust-enhanced collaborative filtering recommendation approach for personalized government-to-business e-services. - Qusai Shambour; Jie Lu 001 (Int. J. Intell. Syst., 2011)

A mobile-based emergency response system for intelligent m-government services. - Khaled Amailef; Jie Lu 001 (J. Enterp. Inf. Manag., 2011)

Particle swarm optimization for bi-level pricing problems in supply chains. - Ya Gao 001; Guangquan Zhang 001; Jie Lu 001; Hui-Ming Wee (J. Glob. Optim., 2011)

Guest editorial: a special issue on optimization techniques for business intelligence systems. - Jie Lu 001; Guangquan Zhang 001 (J. Glob. Optim., 2011)

An information presentation method based on tree-like super entity component. - Ruijun Zhang; Jie Lu 001; Guangquan Zhang 001 (J. Syst. Softw., 2011)

A Hybrid Knowledge-based Risk Prediction Method Using Fuzzy Logic and CBR for Avian Influenza Early Warning. - Jie Zhang 024; Jie Lu 001; Guangquan Zhang 001 (J. Multiple Valued Log. Soft Comput., 2011)

A Kernel Fuzzy c-Means Clustering-Based Fuzzy Support Vector Machine Algorithm for Classification Problems With Outliers or Noises. - Xiaowei Yang 003; Guangquan Zhang 001; Jie Lu 001; Jun Ma 002 (IEEE Trans. Fuzzy Syst., 2011)

Theme-Based Comprehensive Evaluation in New Product Development Using Fuzzy Hierarchical Criteria Group Decision-Making Method. - Jie Lu 001; Jun Ma 002; Guangquan Zhang 001; Yijun Zhu; Xianyi Zeng; Ludovic Koehl (IEEE Trans. Ind. Electron., 2011)

Competitive Strategic Bidding Optimization in Electricity Markets Using Bilevel Programming and Swarm Technique. - Guangquan Zhang 001; Guoli Zhang; Ya Gao 001; Jie Lu 001 (IEEE Trans. Ind. Electron., 2011)

A Fuzzy Hierarchical Multiple Criteria Group Decision Support System - Decider - and Its Applications. - Jun Ma 002; Guangquan Zhang 001; Jie Lu 001 (Consensual Processes, 2011)

A Similarity Measure on Tree Structured Business Data. - Dianshuang Wu; Guangquan Zhang 001; Jie Lu 001; Wolfgang A. Halang (ACIS, 2012)

A Proficient and Dynamic Bidding Agent for Online Auctions. - Preetinder Kaur; Madhu Lata Goyal; Jie Lu 001 (ADMI, 2012)

A fuzzy dual expert system for managing situation awareness in a safety supervisory system. - Mohsen Naderpour; Jie Lu 001 (FUZZ-IEEE, 2012)

Determining Pattern Similarity in a Medical Recommender System. - Maytiyanin Komkhao; Jie Lu 001; Lichen Zhang (ICDKE, 2012)

Price Forecasting Using Dynamic Assessment of Market Conditions and Agent's Bidding Behavior. - Preetinder Kaur; Madhu Lata Goyal; Jie Lu 001 (ICONIP (1), 2012)

Semantic De-biased Associations (SDA) Model to Improve Ill-Structured Decision Support. - Tasneem Memon; Jie Lu 001; Farookh Khadeer Hussain (ICONIP (2), 2012)

An Extended Version of the Fuzzy Multicriteria Group Decision-Making Method in Evaluation Processes. - Macarena Espinilla; Jie Lu 001; Jun Ma 002; Luis Martínez-López 001 (IPMU (1), 2012)

A Fuzzy Group Decision Support System for Projects Evaluation. - Fahimeh Ramezani 001; Jie Lu 001 (IPMU (1), 2012)

Personalised Recommender Systems for E-Business Intelligence with Soft Computing. - Jie Lu 001 (QLSC, 2012)

A trust-semantic fusion-based recommendation approach for e-business applications. - Qusai Shambour; Jie Lu 001 (Decis. Support Syst., 2012)

An Area defuzzification Technique to Assess nuclear Event Reliability Data from Failure Possibilities. - Julwan Hendry Purba; Jie Lu 001; Guangquan Zhang 001; Da Ruan 001 (Int. J. Comput. Intell. Appl., 2012)

Investigation of sequential pattern mining techniques for web recommendation. - Thi Thanh Sang Nguyen; Haiyan Lu; Tich Phuoc Tran; Jie Lu 001 (Int. J. Inf. Decis. Sci., 2012)

A Method for Multiple Periodic Factor Prediction Problems Using Complex Fuzzy Sets. - Jun Ma 002; Guangquan Zhang 001; Jie Lu 001 (IEEE Trans. Fuzzy Syst., 2012)

Multifollower Trilevel Decision Making Models and System. - Jie Lu 001; Guangquan Zhang 001; Javier Montero; Luis Garmendia (IEEE Trans. Ind. Informatics, 2012)

A New Approach for Choosing the Most Appropriate Fuzzy Ranking Algorithm for Solving MADM Problems. - Fahimeh Ramezani 001; Jie Lu 001 (Autonomous Systems: Developments and Trends, 2012)

In Memoriam EUSFLAT Board Member Da Ruan: Obituary. - Etienne E. Kerre; Luis Martínez-López 001; Jie Lu 001; Javier Montero (A Tribute to Prof. Dr. Da Ruan, 2013)

A Glimpse of the Flood of Emails after the Sad News Was Spread. - Jie Lu 001; Etienne E. Kerre (A Tribute to Prof. Dr. Da Ruan, 2013)

Chinese Memorial Plaque and Memoriam Book. - Jie Lu 001; Etienne E. Kerre (A Tribute to Prof. Dr. Da Ruan, 2013)

Obituary: In Memoriam Prof. Dr. Da Ruan. - Jie Lu 001; Etienne E. Kerre (A Tribute to Prof. Dr. Da Ruan, 2013)

Obituary in SCK Website: In Memoriam Da Ruan: http://www.sckcen.be/fr/Nouvelles/In-Memoriam-Da-Ruan. - Jie Lu 001; Etienne E. Kerre (A Tribute to Prof. Dr. Da Ruan, 2013)

Education. - Jie Lu 001; Etienne E. Kerre (A Tribute to Prof. Dr. Da Ruan, 2013)

Scientific Career. - Jie Lu 001; Etienne E. Kerre (A Tribute to Prof. Dr. Da Ruan, 2013)

Research Achievements. - Jie Lu 001; Etienne E. Kerre (A Tribute to Prof. Dr. Da Ruan, 2013)

Publications. - Jie Lu 001; Etienne E. Kerre (A Tribute to Prof. Dr. Da Ruan, 2013)

Guest Editor in Special Issues of Journals. - Jie Lu 001; Etienne E. Kerre (A Tribute to Prof. Dr. Da Ruan, 2013)

Keynotes, Tutorials and Panels in Conferences. - Jie Lu 001; Etienne E. Kerre (A Tribute to Prof. Dr. Da Ruan, 2013)

In the Days since Da Passed Away: Our Best Adjunct Professor and Best Friend. - Jie Lu 001; Guangquan Zhang 001; Jun Ma 002; Fengjie Wu; Chao Wang 048; Jack Zhang; Julwan Hendry Purba (A Tribute to Prof. Dr. Da Ruan, 2013)

Optimal Cloud Resource Auto-Scaling for Web Applications. - Jing Jiang 002; Jie Lu 001; Guangquan Zhang 001; Guodong Long (CCGRID, 2013)

Mining Websites Preferences on Web Events in Big Data Environment. - Junyu Xuan; Xiangfeng Luo; Jie Lu 001 (CSE, 2013)

A fuzzy tri-level decision making algorithm and its application in supply chain. - Zhen Zhang 002; Guangquan Zhang 001; Jie Lu 001; Chonghui Guo (EUSFLAT Conf., 2013)

Text categorization by fuzzy domain adaptation. - Vahid Behbood; Jie Lu 001; Guangquan Zhang 001 (FUZZ-IEEE, 2013)

A fuzzy dynamic bayesian network-based situation assessment approach. - Mohsen Naderpour; Jie Lu 001; Guangquan Zhang 001 (FUZZ-IEEE, 2013)

An Enhanced Mental Model Elicitation Technique to Improve Mental Model Accuracy. - Tasneem Memon; Jie Lu 001; Farookh Khadeer Hussain (ICONIP (1), 2013)

Task Scheduling Optimization in Cloud Computing Applying Multi-Objective Particle Swarm Optimization. - Fahimeh Ramezani 001; Jie Lu 001; Farookh Khadeer Hussain (ICSOC, 2013)

A hybrid model for migrating customer segmentation with missing attributes. - Jun Ma 002; H. Lin; Jie Lu 001; Guangquan Zhang 001 (IFSA/NAFIPS, 2013)

An online fuzzy Decision Support System for Resource Management in cloud environments. - Fahimeh Ramezani 001; Jie Lu 001; Farookh Khadeer Hussain (IFSA/NAFIPS, 2013)

A fuzzy tree similarity based recommendation approach for telecom products. - Dianshuang Wu; Guangquan Zhang 001; Jie Lu 001 (IFSA/NAFIPS, 2013)

Subject-Oriented Semantic Knowledge Warehouse (SSKW) to Support Cognitive DSS. - Tasneem Memon; Jie Lu 001; Farookh Khadeer Hussain; Rajan Rauniyar (OTM Conferences, 2013)

A Hybrid Bayesian Network for Safety of Chemical Plants. - Mohsen Naderpour; Jie Lu 001 (PACIS, 2013)

A Time-Series-Based Technology Intelligence Framework by Trend Prediction Functionality. - Hongshu Chen; Guangquan Zhang 001; Jie Lu 001 (SMC, 2013)

A Fuzzy Tree Similarity Measure and Its Application in Telecom Product Recommendation. - Dianshuang Wu; Guangquan Zhang 001; Jie Lu 001 (SMC, 2013)

A Web-Based Personalized Business Partner Recommendation System using Fuzzy Semantic Techniques. - Jie Lu 001; Qusai Shambour; Yisi Xu; Qing Lin; Guangquan Zhang 001 (Comput. Intell., 2013)

Ontology-supported case-based reasoning approach for intelligent m-Government emergency response services. - Khaled Amailef; Jie Lu 001 (Decis. Support Syst., 2013)

Fuzzy bridged Refinement Domain Adaptation: Long-Term Bank Failure Prediction. - Vahid Behbood; Jie Lu 001; Guangquan Zhang 001 (Int. J. Comput. Intell. Appl., 2013)

Incremental collaborative filtering based on Mahalanobis distance and fuzzy membership for recommender systems. - Maytiyanin Komkhao; Jie Lu 001; Zhong Li 001; Wolfgang A. Halang (Int. J. Gen. Syst., 2013)

FACETS: A cognitive business intelligence system. - Li Niu 001; Jie Lu 001; Guangquan Zhang 001; Dianshuang Wu (Inf. Syst., 2013)

A hybrid fuzzy-based personalized recommender system for telecom products/services. - Zui Zhang; Hua Lin; Kun Liu; Dianshuang Wu; Guangquan Zhang 001; Jie Lu 001 (Inf. Sci., 2013)

A Situation Retrieval Model for Cognitive Decision Support in Digital Business Ecosystems. - Jie Lu 001; Li Niu 001; Guangquan Zhang 001 (IEEE Trans. Ind. Electron., 2013)

An extended bilevel programming model and its kth-best algorithm for dynamic decision making in emergency situations. - Hong Zhou 005; Jie Lu 001; Guangquan Zhang 001 (MCDM, 2014)

A recurrent meta-cognitive-based Scaffolding classifier from data streams. - Mahardhika Pratama; Jie Lu 001; Sreenatha G. Anavatti; José Antonio Iglesias 001 (EALS, 2014)

A price prediction model for online auctions using fuzzy reasoning techniques. - Preetinder Kaur; Madhu Lata Goyal; Jie Lu 001 (FUZZ-IEEE, 2014)

A fuzzy tree matching-based personalised e-learning recommender system. - Dianshuang Wu; Guangquan Zhang 001; Jie Lu 001 (FUZZ-IEEE, 2014)

A novel evaluation approach for power distribution system planning based on linear programming model and ELECTRE III. - Tiefeng Zhang; Guangquan Zhang 001; Jie Lu 001; Jianwei Gu (FUZZ-IEEE, 2014)

Model and Algorithm for Multi-follower Tri-level Hierarchical Decision-Making. - Jialin Han; Guangquan Zhang 001; Jie Lu 001; Yaoguang Hu; Shuyuan Ma (ICONIP (3), 2014)

Concept Drift Detection Based on Anomaly Analysis. - Anjin Liu; Guangquan Zhang 001; Jie Lu 001 (ICONIP (1), 2014)

Extension of similarity measures in VSM: From orthogonal coordinate system to affine coordinate system. - Junyu Xuan; Jie Lu 001; Guangquan Zhang 001; Xiangfeng Luo (IJCNN, 2014)

Paired Structures in Logical and Semiotic Models of Natural Language. - Juan Tinguaro Rodríguez; Camilo Andrés Franco de los Ríos; Javier Montero; Jie Lu 001 (IPMU (2), 2014)

Concept drift detection via competence models. - Ning Lu 007; Guangquan Zhang 001; Jie Lu 001 (Artif. Intell., 2014)

A bi-Level Decision Model for Customer Churn Analysis. - Ya Gao 001; Guangquan Zhang 001; Jie Lu 001; Jun Ma 002 (Comput. Intell., 2014)

A three-level-similarity measuring method of participant opinions in multiple-criteria group decision supports. - Jun Ma 002; Jie Lu 001; Guangquan Zhang 001 (Decis. Support Syst., 2014)

An intelligent situation awareness support system for safety-critical environments. - Mohsen Naderpour; Jie Lu 001; Guangquan Zhang 001 (Decis. Support Syst., 2014)

A fuzzy reliability assessment of basic events of fault trees through qualitative data processing. - Julwan Hendry Purba; Jie Lu 001; Guangquan Zhang 001; Witold Pedrycz (Fuzzy Sets Syst., 2014)

Knowledge-based life event model for e-government service integration with illustrative examples. - Abdullah Alqahtani 002; Haiyan Lu; Jie Lu 001 (Intell. Decis. Technol., 2014)

An Intelligent System by fuzzy reliability Algorithm in Fault Tree Analysis for nuclear Power plant Probabilistic Safety Assessment. - Julwan Hendry Purba; Jie Lu 001; Guangquan Zhang 001 (Int. J. Comput. Intell. Appl., 2014)

Task-Based System Load Balancing in Cloud Computing Using Particle Swarm Optimization. - Fahimeh Ramezani 001; Jie Lu 001; Farookh Khadeer Hussain (Int. J. Parallel Program., 2014)

An intelligent group decision-support system and its application for project performance evaluation. - Fahimeh Ramezani 001; Jie Lu 001 (J. Enterp. Inf. Manag., 2014)

A Situation Analysis Decision Support System Based on Dynamic Object Oriented Bayesian Networks. - Mohsen Naderpour; Jie Lu 001 (J. Softw., 2014)

Fuzzy Refinement Domain Adaptation for Long Term Prediction in Banking Ecosystem. - Vahid Behbood; Jie Lu 001; Guangquan Zhang 001 (IEEE Trans. Ind. Informatics, 2014)

A Customer Churn Prediction Model in Telecom Industry Using Boosting. - Ning Lu 007; Hua Lin; Jie Lu 001; Guangquan Zhang 001 (IEEE Trans. Ind. Informatics, 2014)

Web-Page Recommendation Based on Web Usage and Domain Knowledge. - Thi Thanh Sang Nguyen; Haiyan Lu; Jie Lu 001 (IEEE Trans. Knowl. Data Eng., 2014)

Personalised Property Investment Risk Analysis Model in the Real Estate Industry. - Nur Atiqah Rochin Demong; Jie Lu 001; Farookh Khadeer Hussain (Human-Centric Decision-Making Models for Social Sciences, 2014)

Human-Centric Cognitive Decision Support System for Ill-Structured Problems. - Tasneem Memon; Jie Lu 001; Farookh Khadeer Hussain (Human-Centric Decision-Making Models for Social Sciences, 2014)

Feature Spaces-based Transfer Learning. - Hua Zuo; Guangquan Zhang 001; Vahid Behbood; Jie Lu 001 (IFSA-EUSFLAT, 2015)

A fuzzy approach for measuring development of topics in patents using Latent Dirichlet Allocation. - Hongshu Chen; Guangquan Zhang 001; Jie Lu 001; Donghua Zhu 001 (FUZZ-IEEE, 2015)

A fuzzy content matching-based e-Commerce recommendation approach. - Mingsong Mao; Jie Lu 001; Guangquan Zhang 001; Jinlong Zhang (FUZZ-IEEE, 2015)

An incremental interval Type-2 neural fuzzy Classifier. - Mahardhika Pratama; Jie Lu 001; Guangquan Zhang 001 (FUZZ-IEEE, 2015)

Handling uncertainty in cloud resource management using fuzzy Bayesian networks. - Fahimeh Ramezani 001; Mohsen Naderpour; Jie Lu 001 (FUZZ-IEEE, 2015)

Infinite Author Topic Model Based on Mixed Gamma-Negative Binomial Process. - Junyu Xuan; Jie Lu 001; Guangquan Zhang 001; Richard Yi Da Xu; Xiangfeng Luo (ICDM, 2015)

SEIR Immune Strategy for Instance Weighted Naive Bayes Classification. - Shan Xue 001; Jie Lu 001; Guangquan Zhang 001; Li Xiong 002 (ICONIP (1), 2015)

A Compromise-Based Particle Swarm Optimization Algorithm for Solving Bi-Level Programming Problems with Fuzzy Parameters. - Jialin Han; Yaoguang Hu; Guangquan Zhang 001; Jie Lu 001 (ISKE, 2015)

Heterogeneous Feature Space Based Task Selection Machine for Unsupervised Transfer Learning. - Shan Xue 001; Jie Lu 001; Guangquan Zhang 001; Li Xiong 002 (ISKE, 2015)

A Framework of Hybrid Recommender System for Personalized Clinical Prescription. - Qian Zhang 023; Guangquan Zhang 001; Jie Lu 001; Dianshuang Wu (ISKE, 2015)

Transfer Learning in Hierarchical Feature Spaces. - Hua Zuo; Guangquan Zhang 001; Vahid Behbood; Jie Lu 001; Xianli Meng (ISKE, 2015)

A Novel Meta-Cognitive Extreme Learning Machine to Learning from Data Streams. - Mahardhika Pratama; Jie Lu 001; Guangquan Zhang 001 (SMC, 2015)

A new solution algorithm for solving rule-sets based bilevel decision problems. - Jie Lu 001; Zheng Zheng 001; Guangquan Zhang 001; Qing He 003; Zhongzhi Shi (Concurr. Comput. Pract. Exp., 2015)

Nonnegative Multi-level Network Factorization for Latent Factor Analysis. - Junyu Xuan; Jie Lu 001; Xiangfeng Luo; Guangquan Zhang 001 (CoRR, 2015)

Nonparametric Relational Topic Models through Dependent Gamma Processes. - Junyu Xuan; Jie Lu 001; Guangquan Zhang 001; Richard Yi Da Xu; Xiangfeng Luo (CoRR, 2015)

A semantic enhanced hybrid recommendation approach: A case study of e-Government tourism service recommendation system. - Malak Al-hassan; Haiyan Lu; Jie Lu 001 (Decis. Support Syst., 2015)

Recommender system application developments: A survey. - Jie Lu 001; Dianshuang Wu; Mingsong Mao; Wei Wang 198; Guangquan Zhang 001 (Decis. Support Syst., 2015)

Preface: Intelligent Techniques for Data Science. - Tianrui Li 001; Jie Lu 001; Luis Martínez-López 001 (Int. J. Intell. Syst., 2015)

Collaborative Filtering with Entropy-Driven User Similarity in Recommender Systems. - Wei Wang 198; Guangquan Zhang 001; Jie Lu 001 (Int. J. Intell. Syst., 2015)

Tri-level decision-making with multiple followers: Model, algorithm and case study. - Jialin Han; Jie Lu 001; Yaoguang Hu; Guangquan Zhang 001 (Inf. Sci., 2015)

An effective recommender system by unifying user and item trust information for B2B applications. - Qusai Shambour; Jie Lu 001 (J. Comput. Syst. Sci., 2015)

Sensitivity Level-Based Citizen Personal Information Model for Privacy Protection. - Abdullah Alqahtani 002; Haiyan Lu; Jie Lu 001 (J. Softw., 2015)

Transfer learning using computational intelligence: A survey. - Jie Lu 001; Vahid Behbood; Peng Hao; Hua Zuo; Shan Xue 001; Guangquan Zhang 001 (Knowl. Based Syst., 2015)

A patent time series processing component for technology intelligence by trend identification functionality. - Hongshu Chen; Guangquan Zhang 001; Donghua Zhu 001; Jie Lu 001 (Neural Comput. Appl., 2015)

An abnormal situation modeling method to assist operators in safety-critical systems. - Mohsen Naderpour; Jie Lu 001; Guangquan Zhang 001 (Reliab. Eng. Syst. Saf., 2015)

Topic Model for Graph Mining. - Junyu Xuan; Jie Lu 001; Guangquan Zhang 001; Xiangfeng Luo (IEEE Trans. Cybern., 2015)

Multistep Fuzzy Bridged Refinement Domain Adaptation Algorithm and Its Application to Bank Failure Prediction. - Vahid Behbood; Jie Lu 001; Guangquan Zhang 001; Witold Pedrycz (IEEE Trans. Fuzzy Syst., 2015)

Guest Editorial Web-Based Intelligent Support Systems - Preface to the Special Section. - Witold Pedrycz; Jie Lu 001 (IEEE Trans. Fuzzy Syst., 2015)

Recurrent Classifier Based on an Incremental Metacognitive-Based Scaffolding Algorithm. - Mahardhika Pratama; Sreenatha G. Anavatti; Jie Lu 001 (IEEE Trans. Fuzzy Syst., 2015)

A Fuzzy Tree Matching-Based Personalized E-Learning Recommender System. - Dianshuang Wu; Jie Lu 001; Guangquan Zhang 001 (IEEE Trans. Fuzzy Syst., 2015)

A Fuzzy Preference Tree-Based Recommender System for Personalized Business-to-Business E-Services. - Dianshuang Wu; Guangquan Zhang 001; Jie Lu 001 (IEEE Trans. Fuzzy Syst., 2015)

Evolutionary algorithm-based multi-objective task scheduling optimization model in cloud environments. - Fahimeh Ramezani 001; Jie Lu 001; Javid Taheri; Farookh Khadeer Hussain (World Wide Web, 2015)

Multi-Level Decision Making - Models, Methods and Applications - Guangquan Zhang 001; Jie Lu 001; Ya Gao 001 (Springer, 2015)

An Online Competence-Based Concept Drift Detection Algorithm. - Anjin Liu; Guangquan Zhang 001; Jie Lu 001; Ning Lu 007; Chin-Teng Lin (Australasian Conference on Artificial Intelligence, 2016)

Enhancing cross domain recommendation with domain dependent tags. - Peng Hao; Guangquan Zhang 001; Jie Lu 001 (FUZZ-IEEE, 2016)

Driving fatigue prediction with pre-event electroencephalography (EEG) via a recurrent fuzzy neural network. - Yu-Ting Liu; Shang-Lin Wu; Kuang-Pen Chou; Yang-Yin Lin; Jie Lu 001; Guangquan Zhang 001; Wen-Chieh Lin; Chin-Teng Lin (FUZZ-IEEE, 2016)

A multi-objective optimization model for virtual machine mapping in cloud data centres. - Fahimeh Ramezani 001; Mohsen Naderpour; Jie Lu 001 (FUZZ-IEEE, 2016)

A motor imagery based brain-computer interface system via swarm-optimized fuzzy integral and its application. - Shang-Lin Wu; Yu-Ting Liu; Kuang-Pen Chou; Yang-Yin Lin; Jie Lu 001; Guangquan Zhang 001; Chun-Hsiang Chuang; Wen-Chieh Lin; Chin-Teng Lin (FUZZ-IEEE, 2016)

A fast load pattern extraction approach based on dimension reduction and sampling. - Tiefeng Zhang; Mingdi Gu; Guangquan Zhang 001; Jie Lu 001 (FUZZ-IEEE, 2016)

Fuzzy user-interest drift detection based recommender systems. - Qian Zhang 023; Dianshuang Wu; Guangquan Zhang 001; Jie Lu 001 (FUZZ-IEEE, 2016)

Concept drift detection based on equal density estimation. - Feng Gu; Guangquan Zhang 001; Jie Lu 001; Chin-Teng Lin (IJCNN, 2016)

Multi-instance graphical transfer clustering for traffic data learning. - Shan Xue 001; Jie Lu 001; Jia Wu 001; Guangquan Zhang 001; Li Xiong 002 (IJCNN, 2016)

A concept drift-tolerant case-base editing technique. - Ning Lu 007; Jie Lu 001; Guangquan Zhang 001; Ramón López de Mántaras (Artif. Intell., 2016)

Member contribution-based group recommender system. - Wei Wang 198; Guangquan Zhang 001; Jie Lu 001 (Decis. Support Syst., 2016)

Fuzzy Bi-level Decision-Making Techniques: A Survey. - Guangquan Zhang 001; Jialin Han; Jie Lu 001 (Int. J. Comput. Intell. Syst., 2016)

A Humble Tribute to 50 Years of Fuzzy Sets. - Luis Martínez-López 001; Jie Lu 001 (Int. J. Comput. Intell. Syst., 2016)

An incremental meta-cognitive-based scaffolding fuzzy neural network. - Mahardhika Pratama; Jie Lu 001; Sreenatha G. Anavatti; Edwin Lughofer; Chee Peng Lim (Neurocomputing, 2016)

Scaffolding type-2 classifier for incremental learning under concept drifts. - Mahardhika Pratama; Jie Lu 001; Edwin Lughofer; Guangquan Zhang 001; Sreenatha G. Anavatti (Neurocomputing, 2016)

A solution to bi/tri-level programming problems using particle swarm optimization. - Jialin Han; Guangquan Zhang 001; Yaoguang Hu; Jie Lu 001 (Inf. Sci., 2016)

Multilevel decision-making: A survey. - Jie Lu 001; Jialin Han; Yaoguang Hu; Guangquan Zhang 001 (Inf. Sci., 2016)

Pessimistic bilevel optimization model for risk-averse production-distribution planning. - Yue Zheng; Guangquan Zhang 001; Jialin Han; Jie Lu 001 (Inf. Sci., 2016)

A hybrid similarity measure method for patent portfolio analysis. - Yi Zhang 095; Lining Shang; Lu Huang 003; Alan L. Porter; Guangquan Zhang 001; Jie Lu 001; Donghua Zhu 001 (J. Informetrics, 2016)

A safety-critical decision support system evaluation using situation awareness and workload measures. - Mohsen Naderpour; Jie Lu 001; Guangquan Zhang 001 (Reliab. Eng. Syst. Saf., 2016)

Evolving Type-2 Fuzzy Classifier. - Mahardhika Pratama; Jie Lu 001; Guangquan Zhang 001 (IEEE Trans. Fuzzy Syst., 2016)

Measuring the Semantic Uncertainty of News Events for Evolution Potential Estimation. - Xiangfeng Luo; Junyu Xuan; Jie Lu 001; Guangquan Zhang 001 (ACM Trans. Inf. Syst., 2016)

Uncertainty Analysis for the Keyword System of Web Events. - Junyu Xuan; Xiangfeng Luo; Guangquan Zhang 001; Jie Lu 001; Zheng Xu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2016)

Generating a Risk Profile for Car Insurance Policyholders: a Deep Learning Conceptual Model. - Mohammad Siami; Mohsen Naderpour; Jie Lu 001 (ACIS, 2017)

Enhanced word embedding similarity measures using fuzzy rules for query expansion. - Qian Liu 012; Heyan Huang; Jie Lu 001; Yang Gao 016; Guangquan Zhang 001 (FUZZ-IEEE, 2017)

Heterogeneous unsupervised domain adaptation based on fuzzy feature fusion. - Feng Liu 003; Guangquan Zhang 001; Jie Lu 001 (FUZZ-IEEE, 2017)

Fuzzy time windowing for gradual concept drift adaptation. - Anjin Liu; Guangquan Zhang 001; Jie Lu 001 (FUZZ-IEEE, 2017)

A fuzzy kernel c-means clustering model for handling concept drift in regression. - Yiliao Song; Guangquan Zhang 001; Jie Lu 001; Haiyan Lu (FUZZ-IEEE, 2017)

Detecting overlapping protein complexes in dynamic protein-protein interaction networks by developing a fuzzy clustering algorithm. - Ruiping Yin; Kan Li 001; Guangquan Zhang 001; Jie Lu 001 (FUZZ-IEEE, 2017)

Fuzzy rule-based transfer learning for label space adaptation. - Hua Zuo; Guangquan Zhang 001; Jie Lu 001; Witold Pedrycz (FUZZ-IEEE, 2017)

Regional Concept Drift Detection and Density Synchronized Drift Adaptation. - Anjin Liu; Yiliao Song; Guangquan Zhang 001; Jie Lu 001 (IJCAI, 2017)

A randomized neural network for data streams. - Mahardhika Pratama; Plamen P. Angelov; Jie Lu 001; Edwin Lughofer; Manjeevan Seera; Chee Peng Lim (IJCNN, 2017)

An output-based knowledge transfer approach and its application in bladder cancer prediction. - Guanjin Wang; Guangquan Zhang 001; Kup-Sze Choi; Kin-Man Lam 001; Jie Lu 001 (IJCNN, 2017)

First-order causal process for causal modelling with instantaneous and cross-temporal relations. - Fujin Zhu; Guangquan Zhang 001; Jie Lu 001; Donghua Zhu 001 (IJCNN, 2017)

Concept drift region identification via competence-based discrepancy distribution estimation. - Fan Dong; Jie Lu 001; Kan Li 001; Guangquan Zhang 001 (ISKE, 2017)

Tri-level multi-follower decision-making in a partial-cooperative situation. - Jialin Han; Shuping Wan; Jie Lu 001; Guangquan Zhang 001 (ISKE, 2017)

Applying dynamic Bayesian tree in property sales price estimation. - Mehrdad Ziaee Nejad; Jie Lu 001; Vahid Behbood (ISKE, 2017)

Fast concept drift detection using singular vector decomposition. - Dan Shang; Guangquan Zhang 001; Jie Lu 001 (ISKE, 2017)

Learning a fuzzy decision tree from uncertain data. - Hang Yu 006; Jie Lu 001; Guangquan Zhang 001 (ISKE, 2017)

Mixed Similarity Diffusion for Recommendation on Bipartite Networks. - Ximeng Wang; Yun Liu 001; Guangquan Zhang 001; Yi Zhang 095; Hongshu Chen; Jie Lu 001 (IEEE Access, 2017)

A Multi-Objective Load Balancing System for Cloud Environments. - Fahimeh Ramezani 001; Jie Lu 001; Javid Taheri; Albert Y. Zomaya (Comput. J., 2017)

Heterogeneous Unsupervised Cross-domain Transfer Learning. - Feng Liu 003; Guangquan Zhang 001; Haiyan Lu; Jie Lu 001 (CoRR, 2017)

Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization. - Junyu Xuan; Jie Lu 001; Guangquan Zhang 001; Richard Yi Da Xu (CoRR, 2017)

A cross-domain recommender system with consistent information transfer. - Qian Zhang 023; Dianshuang Wu; Jie Lu 001; Feng Liu 003; Guangquan Zhang 001 (Decis. Support Syst., 2017)

Tri-level decision-making for decentralized vendor-managed inventory. - Jialin Han; Jie Lu 001; Guangquan Zhang 001 (Inf. Sci., 2017)

Explicitly and implicitly exploiting the hierarchical structure for mining website interests on news events. - Junyu Xuan; Xiangfeng Luo; Jie Lu 001; Guangquan Zhang 001 (Inf. Sci., 2017)

Scientific evolutionary pathways: Identifying and visualizing relationships for scientific topics. - Yi Zhang 095; Guangquan Zhang 001; Donghua Zhu 001; Jie Lu 001 (J. Assoc. Inf. Sci. Technol., 2017)

Detecting and predicting the topic change of Knowledge-based Systems: A topic-based bibliometric analysis from 1991 to 2016. - Yi Zhang 095; Hongshu Chen; Jie Lu 001; Guangquan Zhang 001 (Knowl. Based Syst., 2017)

A Bayesian nonparametric model for multi-label learning. - Junyu Xuan; Jie Lu 001; Guangquan Zhang 001; Richard Yi Da Xu; Xiangfeng Luo (Mach. Learn., 2017)

Requirement-oriented core technological components' identification based on SAO analysis. - Chao Yang 013; Donghua Zhu 001; Xuefeng Wang 001; Yi Zhang 095; Guangquan Zhang 001; Jie Lu 001 (Scientometrics, 2017)

An entropy-based indicator system for measuring the potential of patents in technological innovation: rejecting moderation. - Yi Zhang 095; Yue Qian; Ying Huang 002; Ying Guo 005; Guangquan Zhang 001; Jie Lu 001 (Scientometrics, 2017)

Multirelational Social Recommendations via Multigraph Ranking. - Mingsong Mao; Jie Lu 001; Guangquan Zhang 001; Jinlong Zhang (IEEE Trans. Cybern., 2017)

A Comparison of Bidding Strategies for Online Auctions Using Fuzzy Reasoning and Negotiation Decision Functions. - Preetinder Kaur; Madhu Lata Goyal; Jie Lu 001 (IEEE Trans. Fuzzy Syst., 2017)

Guest Editorial Special Section on Fuzzy Systems in Data Science. - Jie Lu 001; Francisco Herrera; Guangquan Zhang 001 (IEEE Trans. Fuzzy Syst., 2017)

An Incremental Learning of Concept Drifts Using Evolving Type-2 Recurrent Fuzzy Neural Networks. - Mahardhika Pratama; Jie Lu 001; Edwin Lughofer; Guangquan Zhang 001; Meng Joo Er (IEEE Trans. Fuzzy Syst., 2017)

Fuzzy Regression Transfer Learning in Takagi-Sugeno Fuzzy Models. - Hua Zuo; Guangquan Zhang 001; Witold Pedrycz; Vahid Behbood; Jie Lu 001 (IEEE Trans. Fuzzy Syst., 2017)

Bayesian Nonparametric Relational Topic Model through Dependent Gamma Processes. - Junyu Xuan; Jie Lu 001; Guangquan Zhang 001; Richard Yi Da Xu; Xiangfeng Luo (IEEE Trans. Knowl. Data Eng., 2017)

Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence. - Qian Liu 012; Heyan Huang; Guangquan Zhang 001; Yang Gao 016; Junyu Xuan; Jie Lu 001 (AAAI, 2018)

Predicting the dynamics of scientific activities: A diffusion-based network analytic methodology. - Yi Zhang 095; Ximeng Wang; Guangquan Zhang 001; Jie Lu 001 (ASIST, 2018)

Distributed Model Predictive Control of Linear Systems with Coupled Constraints Based on Collective Neurodynamic Optimization. - Zheng Yan 001; Jie Lu 001; Guangquan Zhang 001 (Australasian Conference on Artificial Intelligence, 2018)

Counterfactual Inference with Hidden Confounders Using Implicit Generative Models. - Fujin Zhu; Adi Lin; Guangquan Zhang 001; Jie Lu 001 (Australasian Conference on Artificial Intelligence, 2018)

Unconstrained fuzzy feature fusion for heterogeneous unsupervised domain adaptation. - Feng Liu 003; Guangquan Zhang 001; Jie Lu 001 (FUZZ-IEEE, 2018)

A Self-adaptive Fuzzy Network for Prediction in Non-stationary Environments. - Yiliao Song; Guangquan Zhang 001; Haiyan Lu; Jie Lu 001 (FUZZ-IEEE, 2018)

A Dual Neural Network Based On Confidence Intervals For Fuzzy Random Regression Problems. - Hang Yu 006; Jie Lu 001; Guangquan Zhang 001; Dianshuang Wu (FUZZ-IEEE, 2018)

Deep Multi-task Learning for Air Quality Prediction. - Bin Wang 045; Zheng Yan 001; Jie Lu 001; Guangquan Zhang 001; Tianrui Li 001 (ICONIP (5), 2018)

Cross-domain Recommendation with Probabilistic Knowledge Transfer. - Qian Zhang 023; Dianshuang Wu; Jie Lu 001; Guangquan Zhang 001 (ICONIP (3), 2018)

Fuzzy Domain Adaptation Using Unlabeled Target Data. - Hua Zuo; Guangquan Zhang 001; Jie Lu 001 (ICONIP (3), 2018)

Explore Uncertainty in Residual Networks for Crowds Flow Prediction. - Bin Wang 045; Zheng Yan 001; Jie Lu 001; Guangquan Zhang 001; Tianrui Li 001 (IJCNN, 2018)

A Framework of Transferring Structures Across Large-scale Information Networks. - Shan Xue 001; Jie Lu 001; Guangquan Zhang 001; Li Xiong 002 (IJCNN, 2018)

An Incremental Dual nu-Support Vector Regression Algorithm. - Hang Yu 006; Jie Lu 001; Guangquan Zhang 001 (PAKDD (2), 2018)

Cross-domain Recommendation with Consistent Knowledge Transfer by Subspace Alignment. - Qian Zhang 023; Jie Lu 001; Dianshuang Wu; Guangquan Zhang 001 (WISE (2), 2018)

Deep Uncertainty Learning: A Machine Learning Approach for Weather Forecasting. - Bin Wang 045; Zheng Yan 001; Huaishao Luo; Tianrui Li 001; Jie Lu 001; Guangquan Zhang 001 (CoRR, 2018)

Active Fuzzy Weighting Ensemble for Dealing with Concept Drift. - Fan Dong; Jie Lu 001; Guangquan Zhang 001; Kan Li 001 (Int. J. Comput. Intell. Syst., 2018)

Bayesian Deep Reinforcement Learning via Deep Kernel Learning. - Junyu Xuan; Jie Lu 001; Zheng Yan 001; Guangquan Zhang 001 (Int. J. Comput. Intell. Syst., 2018)

A reducibility method for the weak linear bilevel programming problems and a case study in principal-agent. - Yue Zheng; Guangquan Zhang 001; Zhen Zhang 002; Jie Lu 001 (Inf. Sci., 2018)

Does deep learning help topic extraction? A kernel k-means clustering method with word embedding. - Yi Zhang 095; Jie Lu 001; Feng Liu 003; Qian Liu 012; Alan L. Porter; Hongshu Chen; Guangquan Zhang 001 (J. Informetrics, 2018)

Fuzzy competence model drift detection for data-driven decision support systems. - Fan Dong; Guangquan Zhang 001; Jie Lu 001; Kan Li 001 (Knowl. Based Syst., 2018)

Decision Support Systems with Uncertainties in Big Data Environments. - Xianyi Zeng; Jie Lu 001 (Knowl. Based Syst., 2018)

Accumulating regional density dissimilarity for concept drift detection in data streams. - Anjin Liu; Jie Lu 001; Feng Liu 003; Guangquan Zhang 001 (Pattern Recognit., 2018)

Structural property-aware multilayer network embedding for latent factor analysis. - Jie Lu 001; Junyu Xuan; Guangquan Zhang 001; Xiangfeng Luo (Pattern Recognit., 2018)

Unsupervised Heterogeneous Domain Adaptation via Shared Fuzzy Equivalence Relations. - Feng Liu 003; Jie Lu 001; Guangquan Zhang 001 (IEEE Trans. Fuzzy Syst., 2018)

Two-Stage Fuzzy Multiple Kernel Learning Based on Hilbert-Schmidt Independence Criterion. - Tinghua Wang; Jie Lu 001; Guangquan Zhang 001 (IEEE Trans. Fuzzy Syst., 2018)

Granular Fuzzy Regression Domain Adaptation in Takagi-Sugeno Fuzzy Models. - Hua Zuo; Guangquan Zhang 001; Witold Pedrycz; Vahid Behbood; Jie Lu 001 (IEEE Trans. Fuzzy Syst., 2018)

Doubly Nonparametric Sparse Nonnegative Matrix Factorization Based on Dependent Indian Buffet Processes. - Junyu Xuan; Jie Lu 001; Guangquan Zhang 001; Richard Yi Da Xu; Xiangfeng Luo (IEEE Trans. Neural Networks Learn. Syst., 2018)

Opinion Dynamics-Based Group Recommender Systems. - Jorge Castro; Jie Lu 001; Guangquan Zhang 001; Yucheng Dong; Luis Martínez-López 001 (IEEE Trans. Syst. Man Cybern. Syst., 2018)

ATL: Autonomous Knowledge Transfer from Many Streaming Processes. - Mahardhika Pratama; Marcus de Carvalho; Renchunzi Xie; Edwin Lughofer; Jie Lu 001 (CIKM, 2019)

A Novel Fuzzy Neural Network for Unsupervised Domain Adaptation in Heterogeneous Scenarios. - Feng Liu 003; Guangquan Zhang 001; Jie Lu 001 (FUZZ-IEEE, 2019)

A Choquet Fuzzy Integral Vertical Bagging Classifier for Mobile Telematics Data Analysis. - Mohammad Siami; Mohsen Naderpour; Jie Lu 001 (FUZZ-IEEE, 2019)

A Noise-tolerant Fuzzy c-Means based Drift Adaptation Method for Data Stream Regression. - Yiliao Song; Guangquan Zhang 001; Haiyan Lu; Jie Lu 001 (FUZZ-IEEE, 2019)

Domain Selection of Transfer Learning in Fuzzy Prediction Models. - Hua Zuo; Guangquan Zhang 001; Witold Pedrycz; Jie Lu 001 (FUZZ-IEEE, 2019)

One-Stage Deep Instrumental Variable Method for Causal Inference from Observational Data. - Adi Lin; Jie Lu 001; Junyu Xuan; Fujin Zhu; Guangquan Zhang 001 (ICDM, 2019)

Fuzzy Transfer Learning in Heterogeneous Space Using Takagi-Sugeno Fuzzy Models. - Hua Zuo; Guangquan Zhang 001; Jie Lu 001 (IFSA/NAFIPS, 2019)

Knowledge graph-based entity importance learning for multi-stream regression on Australian fuel price forecasting. - Dennis Chow; Anjin Liu; Guangquan Zhang 001; Jie Lu 001 (IJCNN, 2019)

Unsupervised Domain Adaptation with Sphere Retracting Transformation. - Zhen Fang 001; Jie Lu 001; Feng Liu 003; Guangquan Zhang 001 (IJCNN, 2019)

RsyGAN: Generative Adversarial Network for Recommender Systems. - Ruiping Yin; Kan Li 001; Jie Lu 001; Guangquan Zhang 001 (IJCNN, 2019)

A Hybrid Incremental Regression Neural Network for Uncertain Data Streams. - Hang Yu 006; Jie Lu 001; Jialu Xu; Guangquan Zhang 001 (IJCNN, 2019)

Cross-domain Recommendation with Semantic Correlation in Tagging Systems. - Qian Zhang 023; Peng Hao; Jie Lu 001; Guangquan Zhang 001 (IJCNN, 2019)

A Framework for a Large-Scale B2B Recommender System. - Azadeh Ghafari Nia; Jie Lu 001; Qian Zhang 023; Mario Ribeiro (ISKE, 2019)

Drift Adaptation via Joint Distribution Alignment. - Bin Zhang; Jie Lu 001; Guangquan Zhang 001 (ISKE, 2019)

A Recommender System for Cold-start Items: A Case Study in the Real Estate Industry. - Qian Zhang 023; Di Zhang; Jie Lu 001; Guangquan Zhang 001; Wei Qu; Mark Cohen (ISKE, 2019)

FreshGraph: A Spam-Aware Recommender System for Cold Start Problem. - Di Zhang; Qian Zhang 023; Guanquan Zhang; Jie Lu 001 (ISKE, 2019)

Characterizing the Potential of Being Emerging Generic Technologies: A Bi-Layer Network Analytics-based Prediction Method. - Yi Zhang 095; Yihe Zhu; Lu Huang 003; Guangquan Zhang 001; Jie Lu 001 (ISSI, 2019)

Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting. - Bin Wang 045; Jie Lu 001; Zheng Yan 001; Huaishao Luo; Tianrui Li 001; Yu Zheng 004; Guangquan Zhang 001 (KDD, 2019)

Enhancing Fashion Recommendation with Visual Compatibility Relationship. - Ruiping Yin; Kan Li 001; Jie Lu 001; Guangquan Zhang 001 (WWW, 2019)

Cooperative hierarchical Dirichlet processes: Superposition vs. maximization. - Junyu Xuan; Jie Lu 001; Guangquan Zhang 001 (Artif. Intell., 2019)

Butterfly: A Panacea for All Difficulties in Wildly Unsupervised Domain Adaptation. - Feng Liu 003; Jie Lu 001; Bo Han 003; Gang Niu 001; Guangquan Zhang 001; Masashi Sugiyama (CoRR, 2019)

A Survey on Bayesian Nonparametric Learning. - Junyu Xuan; Jie Lu 001; Guangquan Zhang 001 (ACM Comput. Surv., 2019)

TruGRC: Trust-Aware Group Recommendation with Virtual Coordinators. - Ximeng Wang; Yun Liu 001; Jie Lu 001; Fei Xiong; Guangquan Zhang 001 (Future Gener. Comput. Syst., 2019)

Multiobjective e-commerce recommendations based on hypergraph ranking. - Mingsong Mao; Jie Lu 001; Jialin Han; Guangquan Zhang 001 (Inf. Sci., 2019)

A deeper graph neural network for recommender systems. - Ruiping Yin; Kan Li 001; Guangquan Zhang 001; Jie Lu 001 (Knowl. Based Syst., 2019)

Cross-domain network representations. - Shan Xue 001; Jie Lu 001; Guangquan Zhang 001 (Pattern Recognit., 2019)

Regularizing Knowledge Transfer in Recommendation With Tag-Inferred Correlation. - Peng Hao; Guangquan Zhang 001; Luis Martínez-López 001; Jie Lu 001 (IEEE Trans. Cybern., 2019)

Guest Editorial: Special Issue on New Advances in Deep-Transfer Learning. - Zhaohong Deng; Jie Lu 001; Dongrui Wu; Kup-Sze Choi; Shiliang Sun; Yusuke Nojima (IEEE Trans. Emerg. Top. Comput. Intell., 2019)

Data-Driven Decision-Making (D3M): Framework, Methodology, and Directions. - Jie Lu 001; Zheng Yan 001; Jialin Han; Guangquan Zhang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2019)

Fuzzy Transfer Learning Using an Infinite Gaussian Mixture Model and Active Learning. - Hua Zuo; Jie Lu 001; Guangquan Zhang 001; Feng Liu 003 (IEEE Trans. Fuzzy Syst., 2019)

Fuzzy Rule-Based Domain Adaptation in Homogeneous and Heterogeneous Spaces. - Hua Zuo; Jie Lu 001; Guangquan Zhang 001; Witold Pedrycz (IEEE Trans. Fuzzy Syst., 2019)

Learning under Concept Drift: A Review. - Jie Lu 001; Anjin Liu; Fan Dong; Feng Gu; João Gama 001; Guangquan Zhang 001 (IEEE Trans. Knowl. Data Eng., 2019)

A Cross-Domain Recommender System With Kernel-Induced Knowledge Transfer for Overlapping Entities. - Qian Zhang 023; Jie Lu 001; Dianshuang Wu; Guangquan Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Deep Additive Least Squares Support Vector Machines for Classification With Model Transfer. - Guanjin Wang; Guangquan Zhang 001; Kup-Sze Choi; Jie Lu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2019)

Hierarchy Visualization for Group Recommender Systems. - Wei Wang 198; Guangquan Zhang 001; Jie Lu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2019)

Recommender Systems - Advanced Developments - Jie Lu 001; Qian Zhang 023; Guangquan Zhang 001 (Recommender Systems, 2020)

An Elastic Gradient Boosting Decision Tree for Concept Drift Learning. - Kun Wang 050; Anjin Liu; Jie Lu 001; Guangquan Zhang 001; Li Xiong 002 (Australasian Conference on Artificial Intelligence, 2020)

Real-Time Decision Making for Train Carriage Load Prediction via Multi-stream Learning. - Hang Yu 006; Anjin Liu; Bin Wang 045; Ruimin Li; Guangquan Zhang 001; Jie Lu 001 (Australasian Conference on Artificial Intelligence, 2020)

A Novel Non-parametric Two-Sample Test on Imprecise Observations. - Feng Liu 003; Guangquan Zhang 001; Jie Lu 001 (FUZZ-IEEE, 2020)

A Fuzzy Drift Correlation Matrix for Multiple Data Stream Regression. - Yiliao Song; Guangquan Zhang 001; Haiyan Lu; Jie Lu 001 (FUZZ-IEEE, 2020)

Learning Deep Kernels for Non-Parametric Two-Sample Tests. - Feng Liu 003; Wenkai Xu; Jie Lu 001; Guangquan Zhang 001; Arthur Gretton; Danica J. Sutherland (ICML, 2020)

Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation. - Yiyang Zhang; Feng Liu 003; Zhen Fang 001; Bo Yuan 003; Guangquan Zhang 001; Jie Lu 001 (IJCAI, 2020)

Cross-Domain Recommendation with Multiple Sources. - Qian Zhang 023; Jie Lu 001; Guangquan Zhang 001 (IJCNN, 2020)

Multi-Source Domain Adaptation with Distribution Fusion and Relationship Extraction. - Keqiuyin Li; Jie Lu 001; Hua Zuo; Guangquan Zhang 001 (IJCNN, 2020)

Fast Switch Naïve Bayes to Avoid Redundant Update for Concept Drift Learning. - Anjin Liu; Guangquan Zhang 001; Kun Wang 050; Jie Lu 001 (IJCNN, 2020)

Multiple-source Domain Adaptation in Rule-based Neural Network. - Hua Zuo; Jie Lu 001; Guangquan Zhang 001 (IJCNN, 2020)

Diverse Instances-Weighting Ensemble based on Region Drift Disagreement for Concept Drift Adaptation. - Anjin Liu; Jie Lu 001; Guangquan Zhang 001 (CoRR, 2020)

Concept Drift Detection: Dealing with MissingValues via Fuzzy Distance Estimations. - Anjin Liu; Jie Lu 001; Guangquan Zhang 001 (CoRR, 2020)

Framework of Computational Intelligence-Enhanced Knowledge Base Construction: Methodology and A Case of Gene-Related Cardiovascular Disease. - Yi Zhang 095; Mengjia Wu; Hua Lin; Steven Tipper; Mark Grosser; Guangquan Zhang 001; Jie Lu 001 (Int. J. Comput. Intell. Syst., 2020)

DeepPIPE: A distribution-free uncertainty quantification approach for time series forecasting. - Bin Wang 045; Tianrui Li 001; Zheng Yan 001; Guangquan Zhang 001; Jie Lu 001 (Neurocomputing, 2020)

Output based transfer learning with least squares support vector machine and its application in bladder cancer prognosis. - Guanjin Wang; Guangquan Zhang 001; Kup-Sze Choi; Kin-Man Lam 001; Jie Lu 001 (Neurocomputing, 2020)

A Pareto-smoothing method for causal inference using generalized Pareto distribution. - Fujin Zhu; Jie Lu 001; Adi Lin; Guangquan Zhang 001 (Neurocomputing, 2020)

Least squares support vector machines with fast leave-one-out AUC optimization on imbalanced prostate cancer data. - Guanjin Wang; Jeremy Yuen-Chun Teoh; Jie Lu 001; Kup-Sze Choi (Int. J. Mach. Learn. Cybern., 2020)

A Transfer-Based Additive LS-SVM Classifier for Handling Missing Data. - Guanjin Wang; Jie Lu 001; Kup-Sze Choi; Guangquan Zhang 001 (IEEE Trans. Cybern., 2020)

Fuzzy Multiple-Source Transfer Learning. - Jie Lu 001; Hua Zuo; Guangquan Zhang 001 (IEEE Trans. Fuzzy Syst., 2020)

Fuzzy Clustering-Based Adaptive Regression for Drifting Data Streams. - Yiliao Song; Jie Lu 001; Haiyan Lu; Guangquan Zhang 001 (IEEE Trans. Fuzzy Syst., 2020)

A Causal Dirichlet Mixture Model for Causal Inference from Observational Data. - Adi Lin; Jie Lu 001; Junyu Xuan; Fujin Zhu; Guangquan Zhang 001 (ACM Trans. Intell. Syst. Technol., 2020)

Heterogeneous Domain Adaptation: An Unsupervised Approach. - Feng Liu 003; Guangquan Zhang 001; Jie Lu 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Online Topology Learning by a Gaussian Membership-Based Self-Organizing Incremental Neural Network. - Hang Yu 006; Jie Lu 001; Guangquan Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Web event evolution trend prediction based on its computational social context. - Junyu Xuan; Xiangfeng Luo; Jie Lu 001; Guangquan Zhang 001 (World Wide Web, 2020)

How Does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches? - Zhong Li 001; Zhen Fang 001; Feng Liu 003; Jie Lu 001; Bo Yuan 003; Guangquan Zhang 001 (AAAI, 2021)

Multi-Source Domain Adaptation with Fuzzy-Rule based Deep Neural Networks. - Keqiuyin Li; Jie Lu 001; Hua Zuo; Guangquan Zhang 001 (FUZZ-IEEE, 2021)

Learning from Imprecise Observations: An Estimation Error Bound based on Fuzzy Random Variables. - Guangzhi Ma; Feng Liu 003; Guangquan Zhang 001; Jie Lu 001 (FUZZ-IEEE, 2021)

Learning Bounds for Open-Set Learning. - Zhen Fang 001; Jie Lu 001; Anjin Liu; Feng Liu 003; Guangquan Zhang 001 (ICML, 2021)

An Efficient Bayesian Neural Network for Multiple Data Streams. - Ming Zhou; Yiliao Song; Guangquan Zhang 001; Bin Zhang; Jie Lu 001 (IJCNN, 2021)

Negative Samples-enhanced Graph Convolutional Neural Networks. - Wei Duan 003; Junyu Xuan; Jie Lu 001 (ISKE, 2021)

Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data. - Feng Liu 003; Wenkai Xu; Jie Lu 001; Danica J. Sutherland (NeurIPS, 2021)

Pivot-based Candidate Retrieval for Cross-lingual Entity Linking. - Qian Liu 012; Xiubo Geng; Jie Lu 001; Daxin Jiang (WWW, 2021)

PAC-Bayes Bounds for Meta-learning with Data-Dependent Prior. - Tianyu Liu; Jie Lu 001; Zheng Yan 001; Guangquan Zhang 001 (CoRR, 2021)

Automatic Learning to Detect Concept Drift. - Hang Yu 006; Tianyu Liu; Jie Lu 001; Guangquan Zhang 001 (CoRR, 2021)

Deep Bayesian Estimation for Dynamic Treatment Regimes with a Long Follow-up Time. - Adi Lin; Jie Lu 001; Junyu Xuan; Fujin Zhu; Guangquan Zhang 001 (CoRR, 2021)

Bayesian Transfer Learning: An Overview of Probabilistic Graphical Models for Transfer Learning. - Junyu Xuan; Jie Lu 001; Guangquan Zhang 001 (CoRR, 2021)

A cross-domain recommender system through information transfer for medical diagnosis. - Wenjun Chang; Qian Zhang 023; Chao Fu; Weiyong Liu; Guangquan Zhang 001; Jie Lu 001 (Decis. Support Syst., 2021)

Profiling COVID-19 Genetic Research: A Data-Driven Study Utilizing Intelligent Bibliometrics. - Mengjia Wu; Yi Zhang 095; Mark Grosser; Steven Tipper; Deon Venter; Hua Lin; Jie Lu 001 (Frontiers Res. Metrics Anal., 2021)

An Adaptive Personalized Property Investment Risk Analysis Method Based on Data-Driven Approach. - Nur Atiqah Rochin Demong; Jie Lu 001; Farookh Khadeer Hussain (Int. J. Inf. Technol. Decis. Mak., 2021)

Statistical generalization performance guarantee for meta-learning with data dependent prior. - Tianyu Liu; Jie Lu 001; Zheng Yan 001; Guangquan Zhang 001 (Neurocomputing, 2021)

Domain-specific meta-embedding with latent semantic structures. - Qian Liu 012; Jie Lu 001; Guangquan Zhang 001; Tao Shen 001; Zhihan Zhang 001; Heyan Huang (Inf. Sci., 2021)

Multi-source transfer regression via source-target pairwise segment. - Kai Yang; Jie Lu 001; Wanggen Wan; Guangquan Zhang 001 (Inf. Sci., 2021)

Bi-layer network analytics: A methodology for characterizing emerging general-purpose technologies. - Yi Zhang 095; Mengjia Wu; Wen Miao; Lu Huang 003; Jie Lu 001 (J. Informetrics, 2021)

Ethics and privacy of artificial intelligence: Understandings from bibliometrics. - Yi Zhang 095; Mengjia Wu; George Yijun Tian; Guangquan Zhang 001; Jie Lu 001 (Knowl. Based Syst., 2021)

Concept Drift Detection via Equal Intensity k-Means Space Partitioning. - Anjin Liu; Jie Lu 001; Guangquan Zhang 001 (IEEE Trans. Cybern., 2021)

A Fuzzy Word Similarity Measure for Selecting Top-$k$ Similar Words in Query Expansion. - Qian Liu 012; Heyan Huang; Junyu Xuan; Guangquan Zhang 001; Yang Gao 016; Jie Lu 001 (IEEE Trans. Fuzzy Syst., 2021)

Concept Drift Detection: Dealing With Missing Values via Fuzzy Distance Estimations. - Anjin Liu; Jie Lu 001; Guangquan Zhang 001 (IEEE Trans. Fuzzy Syst., 2021)

Multisource Heterogeneous Unsupervised Domain Adaptation via Fuzzy Relation Neural Networks. - Feng Liu 003; Guangquan Zhang 001; Jie Lu 001 (IEEE Trans. Fuzzy Syst., 2021)

Bayesian Nonparametric Unsupervised Concept Drift Detection for Data Stream Mining. - Junyu Xuan; Jie Lu 001; Guangquan Zhang 001 (ACM Trans. Intell. Syst. Technol., 2021)

A Mobile Telematics Pattern Recognition Framework for Driving Behavior Extraction. - Mohammad Siami; Mohsen Naderpour; Jie Lu 001 (IEEE Trans. Intell. Transp. Syst., 2021)

Open Set Domain Adaptation: Theoretical Bound and Algorithm. - Zhen Fang 001; Jie Lu 001; Feng Liu 003; Junyu Xuan; Guangquan Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Diverse Instance-Weighting Ensemble Based on Region Drift Disagreement for Concept Drift Adaptation. - Anjin Liu; Jie Lu 001; Guangquan Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

AUC-Based Extreme Learning Machines for Supervised and Semi-Supervised Imbalanced Classification. - Guanjin Wang; Kok Wai Wong; Jie Lu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples. - Wei Duan 003; Junyu Xuan; Maoying Qiao; Jie Lu 001 (AAAI, 2022)

An Empirical Study of Fuzzy Decision Tree for Gradient Boosting Ensemble. - Zhaoqing Liu; Anjin Liu; Guangquan Zhang 001; Jie Lu 001 (AI, 2022)

Source-Free Multi-Domain Adaptation with Generally Auxiliary Model Training. - Keqiuyin Li; Jie Lu 001; Hua Zuo; Guangquan Zhang 001 (IJCNN, 2022)

Machine Learning for Decision Support in Complex Environments. - Jie Lu 001 (IoTBDS, 2022)

Is Out-of-Distribution Detection Learnable? - Zhen Fang 001; Yixuan Li 001; Jie Lu 001; Jiahua Dong 001; Bo Han 003; Feng Liu 003 (NeurIPS, 2022)

Stepping beyond your comfort zone: Diffusion-based network analytics for knowledge trajectory recommendation. - Yi Zhang 095; Mengjia Wu; Jie Lu 001 (CoRR, 2022)

Multi-class Classification with Fuzzy-feature Observations: Theory and Algorithms. - Guangzhi Ma; Jie Lu 001; Feng Liu 003; Zhen Fang 001; Guangquan Zhang 001 (CoRR, 2022)

Streaming PAC-Bayes Gaussian process regression with a performance guarantee for online decision making. - Tianyu Liu; Jie Lu 001; Zheng Yan 001; Guangquan Zhang 001 (CoRR, 2022)

Elastic gradient boosting decision tree with adaptive iterations for concept drift adaptation. - Kun Wang 050; Jie Lu 001; Anjin Liu; Yiliao Song; Li Xiong 002; Guangquan Zhang 001 (Neurocomputing, 2022)

A quantile fusion methodology for deep forecasting. - Bin Wang 045; Jie Lu 001; Tianrui Li 001; Zheng Yan 001; Guangquan Zhang 001 (Neurocomputing, 2022)

Learn-to-adapt: Concept drift adaptation for hybrid multiple streams. - En Yu; Yiliao Song; Guangquan Zhang 001; Jie Lu 001 (Neurocomputing, 2022)

Transfer learning based on sparse Gaussian process for regression. - Kai Yang; Jie Lu 001; Wanggen Wan; Guangquan Zhang 001; Li Hou (Inf. Sci., 2022)

Meta-ADD: A meta-learning based pre-trained model for concept drift active detection. - Hang Yu 006; Qingyong Zhang; Tianyu Liu; Jie Lu 001; Yimin Wen; Guangquan Zhang 001 (Inf. Sci., 2022)

Deep Metallogenic prediction model construction of the Xiongcun no. II orebody based on the DNN algorithm. - Di Zhang; Zhongli Zhou; Suyue Han; Hao Gong; Tianyi Zou; Jie Lu 001 (Multim. Tools Appl., 2022)

A Drift Region-Based Data Sample Filtering Method. - Fan Dong; Jie Lu 001; Yiliao Song; Feng Liu 003; Guangquan Zhang 001 (IEEE Trans. Cybern., 2022)

Deep Cross-Output Knowledge Transfer Using Stacked-Structure Least-Squares Support Vector Machines. - Guanjin Wang; Kup-Sze Choi; Jeremy Yuen-Chun Teoh; Jie Lu 001 (IEEE Trans. Cybern., 2022)

A Deep-Ensemble-Level-Based Interpretable Takagi-Sugeno-Kang Fuzzy Classifier for Imbalanced Data. - Guanjin Wang; Ta Zhou; Kup-Sze Choi; Jie Lu 001 (IEEE Trans. Cybern., 2022)

Continuous Support Vector Regression for Nonstationary Streaming Data. - Hang Yu 006; Jie Lu 001; Guangquan Zhang 001 (IEEE Trans. Cybern., 2022)

Fuzzy Multioutput Transfer Learning for Regression. - Xiaoya Che; Hua Zuo; Jie Lu 001; Degang Chen 002 (IEEE Trans. Fuzzy Syst., 2022)

Topology Learning-Based Fuzzy Random Neural Networks for Streaming Data Regression. - Hang Yu 006; Jie Lu 001; Guangquan Zhang 001 (IEEE Trans. Fuzzy Syst., 2022)

Real-Time Prediction System of Train Carriage Load Based on Multi-Stream Fuzzy Learning. - Hang Yu 006; Jie Lu 001; Anjin Liu; Bin Wang 045; Ruimin Li; Guangquan Zhang 001 (IEEE Trans. Intell. Transp. Syst., 2022)

An Online Robust Support Vector Regression for Data Streams. - Hang Yu 006; Jie Lu 001; Guangquan Zhang 001 (IEEE Trans. Knowl. Data Eng., 2022)

Multi-Source Contribution Learning for Domain Adaptation. - Keqiuyin Li; Jie Lu 001; Hua Zuo; Guangquan Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

A Segment-Based Drift Adaptation Method for Data Streams. - Yiliao Song; Jie Lu 001; Anjin Liu; Haiyan Lu; Guangquan Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Learning From a Complementary-Label Source Domain: Theory and Algorithms. - Yiyang Zhang; Feng Liu 003; Zhen Fang 001; Bo Yuan 003; Guangquan Zhang 001; Jie Lu 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

MORStreaming: A Multioutput Regression System for Streaming Data. - Hang Yu 006; Jie Lu 001; Guangquan Zhang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

An Augmented Learning Approach for Multiple Data Streams Under Concept Drift. - Kun Wang 050; Jie Lu 001; Anjin Liu; Guangquan Zhang 001 (AI (1), 2023)

Multiple Teacher Model for Continual Test-Time Domain Adaptation. - Ran Wang 016; Hua Zuo; Zhen Fang 001; Jie Lu 001 (AI (1), 2023)

Sequence Unlearning for Sequential Recommender Systems. - Shanshan Ye; Jie Lu 001 (AI (1), 2023)

Attention-Bridging TS Fuzzy Rules for Universal Multi-Domain Adaptation Without Source Data. - Keqiuyin Li; Jie Lu 001; Hua Zuo; Guangquan Zhang 001 (FUZZ, 2023)

Interval-Valued Observations-Based Multi-Source Domain Adaptation Using Fuzzy Neural Networks. - Guangzhi Ma; Jie Lu 001; Guangquan Zhang 001 (FUZZ, 2023)

BiblioEngine: An AI-Empowered Platform for Disease Genetic Knowledge Mining. - Mengjia Wu; Yi Zhang 095; Hua Lin; Mark Grosser; Guangquan Zhang 001; Jie Lu 001 (HIS, 2023)

Multi-model Transfer Learning and Genotypic Analysis for Seizure Type Classification. - Yue Yang; Kairui Guo; Zhen Fang 001; Hua Lin; Mark Grosser; Jie Lu 001 (HIS, 2023)

Meta OOD Learning For Continuously Adaptive OOD Detection. - Xinheng Wu; Jie Lu 001; Zhen Fang 001; Guangquan Zhang 001 (ICCV, 2023)

One-step Domain Adaptation Approach with Partial Label. - Guohang Zeng; Zhen Fang 001; Guangquan Zhang 001; Jie Lu 001 (IJCNN, 2023)

Domain Adaptation for Image Segmentation with Category-Guide Classifier. - Keqiuyin Li; Jie Lu 001; Hua Zuo; Guangquan Zhang 001 (ISKE, 2023)

Deep Neural Network-Empowered Polygenic Disease Prediction on Cardiovascular Diseases. - Zelia Soo; Hua Lin; Yue Yang; Mark Grosser; Yi Zhang 095; Jie Lu 001 (ISKE, 2023)

meta-GRS: A Graph Neural Network for Cross-Domain Recommender System via Meta-Learning. - Pham Minh Thu Do; Qian Zhang 023; Guangquan Zhang 001; Jie Lu 001 (KES, 2023)

Multi-Source Domain Adaptation with Incomplete Source Label Spaces. - Keqiuyin Li; Jie Lu 001; Hua Zuo; Guangquan Zhang 001 (KES, 2023)

TCR-M: A Topic Change Recognition-based Method for Data Stream Learning. - Kun Wang 050; Jie Lu 001; Anjin Liu; Guangquan Zhang 001 (KES, 2023)

Improving proximal policy optimization with alpha divergence. - Haotian Xu; Zheng Yan 001; Junyu Xuan; Guangquan Zhang 001; Jie Lu 001 (Neurocomputing, 2023)

Semi-Supervised Heterogeneous Domain Adaptation: Theory and Algorithms. - Zhen Fang 001; Jie Lu 001; Feng Liu 003; Guangquan Zhang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Detecting group concept drift from multiple data streams. - Hang Yu 006; Weixu Liu; Jie Lu 001; Yimin Wen; Xiangfeng Luo; Guangquan Zhang 001 (Pattern Recognit., 2023)

Direct Learning With Multi-Task Neural Networks for Treatment Effect Estimation. - Fujin Zhu; Jie Lu 001; Adi Lin; Junyu Xuan; Guangquan Zhang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Evolving Gradient Boost: A Pruning Scheme Based on Loss Improvement Ratio for Learning Under Concept Drift. - Kun Wang 050; Jie Lu 001; Anjin Liu; Guangquan Zhang 001; Li Xiong 002 (IEEE Trans. Cybern., 2023)

A Deep Dual Adversarial Network for Cross-Domain Recommendation. - Qian Zhang 023; Wenhui Liao; Guangquan Zhang 001; Bo Yuan 003; Jie Lu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Dynamic Classifier Alignment for Unsupervised Multi-Source Domain Adaptation. - Keqiuyin Li; Jie Lu 001; Hua Zuo; Guangquan Zhang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Concept Drift Detection Delay Index. - Anjin Liu; Jie Lu 001; Yiliao Song; Junyu Xuan; Guangquan Zhang 001 (IEEE Trans. Knowl. Data Eng., 2023)

MGRC: An End-to-End Multigranularity Reading Comprehension Model for Question Answering. - Qian Liu 012; Xiubo Geng; Heyan Huang; Tao Qin 001; Jie Lu 001; Daxin Jiang (IEEE Trans. Neural Networks Learn. Syst., 2023)

Stepping beyond your comfort zone: Diffusion-based network analytics for knowledge trajectory recommendation. - Yi Zhang 095; Mengjia Wu; Guangquan Zhang 001; Jie Lu 001 (J. Assoc. Inf. Sci. Technol., 2023)

Learning Data Streams With Changing Distributions and Temporal Dependency. - Yiliao Song; Jie Lu 001; Haiyan Lu; Guangquan Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation. - Zhong Li 001; Zhen Fang 001; Feng Liu 003; Bo Yuan 003; Guangquan Zhang 001; Jie Lu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

A new approach for landslide susceptibility assessments based on KDE-MDBN: A case study from mountainous regions impacted by the Wenchuan earthquake, China. - Suyue Han; Bin Liu; Xinyue Fan; Tingting Feng; JingJing Yang; Zhongli Zhou; Hao Gong; Jie Lu 001 (Environ. Model. Softw., 2023)

Guest Editorial: Special Issue on Stream Learning. - Jie Lu 001; João Gama 001; Xin Yao 001; Leandro L. Minku (IEEE Trans. Neural Networks Learn. Syst., 2023)

Artificial intelligence-driven biomedical genomics. - Kairui Guo; Mengjia Wu; Zelia Soo; Yue Yang; Yi Zhang 095; Qian Zhang 023; Hua Lin; Mark Grosser; Deon Venter; Guangquan Zhang 001; Jie Lu 001 (Knowl. Based Syst., 2023)

Heterogeneous Multidomain Recommender System Through Adversarial Learning. - Wenhui Liao; Qian Zhang 023; Bo Yuan 003; Guangquan Zhang 001; Jie Lu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Source-Free Multidomain Adaptation With Fuzzy Rule-Based Deep Neural Networks. - Keqiuyin Li; Jie Lu 001; Hua Zuo; Guangquan Zhang 001 (IEEE Trans. Fuzzy Syst., 2023)

Multi-Stream Concept Drift Self-Adaptation Using Graph Neural Network. - Ming Zhou; Jie Lu 001; Yiliao Song; Guangquan Zhang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Online Boosting Adaptive Learning under Concept Drift for Multistream Classification. - En Yu; Jie Lu 001; Bin Zhang; Guangquan Zhang 001 (AAAI, 2024)

LSTM Autoencoder-Based Deep Neural Networks for Barley Genotype-to-Phenotype Prediction. - Guanjin Wang; Junyu Xuan; Penghao Wang; Chengdao Li; Jie Lu 001 (AI (1), 2024)

Geno-GCN: A Genome-specific Graph Convolutional Network for Diabetes Prediction. - Kairui Guo; Hua Lin; Mark Grosser; Guangquan Zhang 001; Jie Lu 001 (EMBC, 2024)

Enhancing Vision-Language Models Incorporating TSK Fuzzy System for Domain Adaptation. - Kuo Shi; Jie Lu 001; Zhen Fang 001; Guangquan Zhang 001 (FUZZ, 2024)

A Deep Transfer Learning Approach for Predicting Diabetes Complications Using Genomic Data. - Zelia Soo; Kairui Guo; Mengjia Wu; Coco Huang; Hua Lin; Mark Grosser; Yi Zhang 095; Jie Lu 001 (HIS, 2024)

Knowledge Distillation with Auxiliary Variable. - Bo Peng; Zhen Fang 001; Guangquan Zhang 001; Jie Lu 001 (ICML, 2024)

Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning. - Wei Duan 003; Jie Lu 001; Junyu Xuan (IJCAI, 2024)

A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points. - Zihe Liu; Jie Lu 001; Guangquan Zhang 001; Junyu Xuan (IJCAI, 2024)

CLIP-Enhanced Unsupervised Domain Adaptation with Consistency Regularization. - Kuo Shi; Jie Lu 001; Zhen Fang 001; Guangquan Zhang 001 (IJCNN, 2024)

Prompt-Based Memory Bank for Continual Test-Time Domain Adaptation in Vision-Language Models. - Ran Wang 016; Hua Zuo; Zhen Fang 001; Jie Lu 001 (IJCNN, 2024)

Towards Robustness Prompt Tuning with Fully Test-Time Adaptation for CLIP's Zero-Shot Generalization. - Ran Wang 016; Hua Zuo; Zhen Fang 001; Jie Lu 001 (ACM Multimedia, 2024)

Learning to Shape In-distribution Feature Space for Out-of-distribution Detection. - Yonggang Zhang 003; Jie Lu 001; Bo Peng; Zhen Fang 001; Yiu-ming Cheung (NeurIPS, 2024)

Functional Wasserstein Bridge Inference for Bayesian Deep Learning. - Mengjing Wu; Junyu Xuan; Jie Lu 001 (UAI, 2024)

Functional Wasserstein Variational Policy Optimization. - Junyu Xuan; Mengjing Wu; Zihe Liu; Jie Lu 001 (UAI, 2024)

Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning. - Wei Duan 003; Jie Lu 001; Junyu Xuan (CoRR, 2024)

Adapting Multi-modal Large Language Model to Concept Drift in the Long-tailed Open World. - Xiaoyu Yang; Jie Lu 001; En Yu (CoRR, 2024)

A Neighbor-Searching Discrepancy-based Drift Detection Scheme for Learning Evolving Data. - Feng Gu; Jie Lu 001; Zhen Fang 001; Kun Wang 050; Guangquan Zhang 001 (CoRR, 2024)

Multi-source domain adaptation handling inaccurate label spaces. - Keqiuyin Li; Jie Lu 001; Hua Zuo; Guangquan Zhang 001 (Neurocomputing, 2024)

Semi-supervised heterogeneous domain adaptation for few-sample credit risk classification. - Zhaoqing Liu; Guangquan Zhang 001; Jie Lu 001 (Neurocomputing, 2024)

A self-adaptive ensemble for user interest drift learning. - Kun Wang 050; Li Xiong 002; Anjin Liu; Guangquan Zhang 001; Jie Lu 001 (Neurocomputing, 2024)

Trust region policy optimization via entropy regularization for Kullback-Leibler divergence constraint. - Haotian Xu; Junyu Xuan; Guangquan Zhang 001; Jie Lu 001 (Neurocomputing, 2024)

On the Learnability of Out-of-distribution Detection. - Zhen Fang 001; Yixuan Li 001; Feng Liu 003; Bo Han 003; Jie Lu 001 (J. Mach. Learn. Res., 2024)

Layer-diverse Negative Sampling for Graph Neural Networks. - Wei Duan 003; Jie Lu 001; Yu Guang Wang 001; Junyu Xuan (Trans. Mach. Learn. Res., 2024)

Source-Free Unsupervised Domain Adaptation: Current research and future directions. - Ningyuan Zhang; Jie Lu 001; Keqiuyin Li; Zhen Fang 001; Guangquan Zhang 001 (Neurocomputing, 2024)

Robust Gaussian Process Regression With Input Uncertainty: A PAC-Bayes Perspective. - Tianyu Liu; Jie Lu 001; Zheng Yan 001; Guangquan Zhang 001 (IEEE Trans. Cybern., 2024)

Multiclass Classification With Fuzzy-Feature Observations: Theory and Algorithms. - Guangzhi Ma; Jie Lu 001; Feng Liu 003; Zhen Fang 001; Guangquan Zhang 001 (IEEE Trans. Cybern., 2024)

An Extremely Simple Algorithm for Source Domain Reconstruction. - Zhen Fang 001; Jie Lu 001; Guangquan Zhang 001 (IEEE Trans. Cybern., 2024)

A Hierarchical Attention Network for Cross-Domain Group Recommendation. - Ruxia Liang; Qian Zhang 023; Jianqiang Wang 001; Jie Lu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multidomain Adaptation With Sample and Source Distillation. - Keqiuyin Li; Jie Lu 001; Hua Zuo; Guangquan Zhang 001 (IEEE Trans. Cybern., 2024)

Domain Adaptation With Interval-Valued Observations: Theory and Algorithms. - Guangzhi Ma; Jie Lu 001; Feng Liu 003; Zhen Fang 001; Guangquan Zhang 001 (IEEE Trans. Fuzzy Syst., 2024)

Multisource Domain Adaptation With Interval-Valued Target Data via Fuzzy Neural Networks. - Guangzhi Ma; Jie Lu 001; Guangquan Zhang 001 (IEEE Trans. Fuzzy Syst., 2024)

Fuzzy Machine Learning: A Comprehensive Framework and Systematic Review. - Jie Lu 001; Guangzhi Ma; Guangquan Zhang 001 (IEEE Trans. Fuzzy Syst., 2024)

Unsupervised Domain Adaptation Enhanced by Fuzzy Prompt Learning. - Kuo Shi; Jie Lu 001; Zhen Fang 001; Guangquan Zhang 001 (IEEE Trans. Fuzzy Syst., 2024)

AMT-CDR: A Deep Adversarial Multi-Channel Transfer Network for Cross-Domain Recommendation. - Kezhi Lu; Qian Zhang 023; Danny Hughes 001; Guangquan Zhang 001; Jie Lu 001 (ACM Trans. Intell. Syst. Technol., 2024)

Risk Assessment Through Big Data: An Autonomous Fuzzy Decision Support System. - Mohammad Siami; Mohsen Naderpour; Fahimeh Ramezani 001; Jie Lu 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Deep Reinforcement Learning in Nonstationary Environments With Unknown Change Points. - Zihe Liu; Jie Lu 001; Junyu Xuan; Guangquan Zhang 001 (IEEE Trans. Cybern., 2024)

TS-DM: A Time Segmentation-Based Data Stream Learning Method for Concept Drift Adaptation. - Kun Wang 050; Jie Lu 001; Anjin Liu; Guangquan Zhang 001 (IEEE Trans. Cybern., 2024)

Fuzzy Shared Representation Learning for Multistream Classification. - En Yu; Jie Lu 001; Guangquan Zhang 001 (IEEE Trans. Fuzzy Syst., 2024)

Dynamic Graph Regularization for Multi-Stream Concept Drift Self-Adaptation. - Ming Zhou; Jie Lu 001; Pengqian Lu; Guangquan Zhang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Disentangling Stochastic PDE Dynamics for Unsupervised Video Prediction. - Xinheng Wu; Jie Lu 001; Zheng Yan 001; Guangquan Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Federated Fuzzy Transfer Learning With Domain and Category Shifts. - Keqiuyin Li; Jie Lu 001; Hua Zuo; Guangquan Zhang 001 (IEEE Trans. Fuzzy Syst., 2024)

Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams. - Hang Yu 006; Jinpeng Li; Jie Lu 001; Yiliao Song; Shaorong Xie; Guangquan Zhang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Graph Convolutional Neural Networks With Diverse Negative Samples via Decomposed Determinant Point Processes. - Wei Duan 003; Junyu Xuan; Maoying Qiao; Jie Lu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Early Concept Drift Detection via Prediction Uncertainty. - Pengqian Lu; Jie Lu 001; Anjin Liu; Guangquan Zhang 001 (AAAI, 2025)

Functional Stochastic Gradient MCMC for Bayesian Neural Networks. - Mengjing Wu; Junyu Xuan; Jie Lu 001 (AISTATS, 2025)

Bridging the Gap between Variational Inference and Stochastic Gradient MCMC in Function Space. - Mengjing Wu; Junyu Xuan; Jie Lu 001 (ICLR, 2025)

Adapting Multi-modal Large Language Model to Concept Drift From Pre-training Onwards. - Xiaoyu Yang; Jie Lu 001; En Yu (ICLR, 2025)

Release the Powers of Prompt Tuning: Cross-Modality Prompt Transfer. - Ningyuan Zhang; Jie Lu 001; Keqiuyin Li; Zhen Fang 001; Guangquan Zhang 001 (ICLR, 2025)

Distributional Prototype Learning for Out-of-distribution Detection. - Bo Peng; Jie Lu 001; Yonggang Zhang 003; Guangquan Zhang 001; Zhen Fang 001 (KDD (1), 2025)

AI for Women's Health: Framework and Focus Areas. - Jie Lu 001; Angela Dawson; Kairui Guo; Deborah Fox; Fahimeh Ramezani 001; Susan Morton; Kathleen Baird; Zelia Soo; Kezhi Lu; Guodong Long; Debra Anderson (WWW (Companion Volume), 2025)

Towards Safe Machine Unlearning: A Paradigm that Mitigates Performance Degradation. - Shanshan Ye; Jie Lu 001; Guangquan Zhang 001 (WWW, 2025)

MetaGeno: a chromosome-wise multi-task genomic framework for ischaemic stroke risk prediction. - Yue Yang; Kairui Guo; Yonggang Zhang 003; Zhen Fang 001; Hua Lin; Mark Grosser; Deon Venter; Weihai Lu; Mengjia Wu; Dennis Cordato; Guangquan Zhang 001; Jie Lu 001 (Briefings Bioinform., 2025)

Novelty-aware concept drift detection for neural networks. - Dan Shang; Guangquan Zhang 001; Jie Lu 001 (Neurocomputing, 2025)

Concept drift detection based on radial distance. - Dan Shang; Guangquan Zhang 001; Jie Lu 001 (Neurocomputing, 2025)

RoSiLC-RS:A Robust Similar Legal Case Recommender System Empowered by Large Language Model and Step-Back Prompting. - Guohang Zeng; George Yijun Tian; Guangquan Zhang 001; Jie Lu 001 (Neurocomputing, 2025)

Out-of-distribution detection with non-semantic exploration. - Zhen Fang 001; Jie Lu 001; Guangquan Zhang 001 (Inf. Sci., 2025)

HetGCoT-Rec: Heterogeneous Graph-Enhanced Chain-of-Thought LLM Reasoning for Journal Recommendation. - Runsong Jia; Mengjia Wu; Ying Ding 001; Jie Lu 001; Yi Zhang 095 (CoRR, 2025)

Causal-Informed Contrastive Learning: Towards Bias-Resilient Pre-training under Concept Drift. - Xiaoyu Yang; Jie Lu 001; En Yu (CoRR, 2025)

CA-GNN: A Competence-Aware Graph Neural Network for Semi-Supervised Learning on Streaming Data. - Hang Yu 006; Jiahao Wen; Yiping Sun; Xiao Wei 002; Jie Lu 001 (IEEE Trans. Cybern., 2025)

Robust Recommender Systems with Rating Flip Noise. - Shanshan Ye; Jie Lu 001 (ACM Trans. Intell. Syst. Technol., 2025)

Global-Local Decomposition of Contextual Representations in Meta-Reinforcement Learning. - Nelson Ma; Junyu Xuan; Guangquan Zhang 001; Jie Lu 001 (IEEE Trans. Cybern., 2025)

Integrated Image-Text Augmentation for Few-Shot Learning in Vision-Language Models. - Ran Wang 016; Hua Zuo; Zhen Fang 001; Jie Lu 001 (ACM Trans. Intell. Syst. Technol., 2025)

Learning Latent and Changing Dynamics in Real Non-Stationary Environments. - Zihe Liu; Jie Lu 001; Junyu Xuan; Guangquan Zhang 001 (IEEE Trans. Knowl. Data Eng., 2025)

Learning Robust Spectral Dynamics for Temporal Domain Generalization. - En Yu; Jie Lu 001; Xiaoyu Yang; Guangquan Zhang 001; Zhen Fang 001 (CoRR, 2025)

Walking the Tightrope: Disentangling Beneficial and Detrimental Drifts in Non-Stationary Custom-Tuning. - Xiaoyu Yang; Jie Lu 001; En Yu (CoRR, 2025)

Multiview Classification Through Learning From Interval-Valued Data. - Guangzhi Ma; Jie Lu 001; Zhen Fang 001; Feng Liu 003; Guangquan Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Generalized Incremental Learning under Concept Drift across Evolving Data Streams. - En Yu; Jie Lu 001; Guangquan Zhang 001 (CoRR, 2025)

Fuzzy Domain Adaptation From Heterogeneous Source Teacher Models. - Keqiuyin Li; Jie Lu 001; Hua Zuo; Guangquan Zhang 001 (IEEE Trans. Fuzzy Syst., 2025)

Sharpness-Aware Cross-Domain Recommendation to Cold-Start Users. - Guohang Zeng; Qian Zhang 023; Guangquan Zhang 001; Jie Lu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2025)

MiraGe: Multimodal Discriminative Representation Learning for Generalizable AI-Generated Image Detection. - Kuo Shi; Jie Lu 001; Shanshan Ye; Guangquan Zhang 001; Zhen Fang 001 (CoRR, 2025)

Drift-aware Collaborative Assistance Mixture of Experts for Heterogeneous Multistream Learning. - En Yu; Jie Lu 001; Kun Wang 050; Xiaoyu Yang; Guangquan Zhang 001 (CoRR, 2025)

Responsible AI: Portraits With Intelligent Bibliometrics. - Yi Zhang 095; Mengjia Wu; Guangquan Zhang 001; Jie Lu 001 (IEEE Trans. Artif. Intell., 2025)

Continuous Graph Learning-Based Self-Adaptation for Multi-Stream Concept Drift. - Ming Zhou; Jie Lu 001 (IEEE Trans. Cybern., 2025)

Fuzzy Rule-Based Test-Time Adaptation for Class Imbalance in Dynamic Scenarios. - Ran Wang 016; Hua Zuo; Jie Lu 001 (IEEE Trans. Fuzzy Syst., 2025)

A Federated Graph Neural Network with Differential Privacy for Cross-domain Recommender Systems. - Pham Minh Thu Do; Jie Lu 001; Qian Zhang 023; Guangquan Zhang 001 (ACM Trans. Intell. Syst. Technol., 2025)

Inferring Latent Temporal Sparse Coordination Graph for Multiagent Reinforcement Learning. - Wei Duan 003; Jie Lu 001; Junyu Xuan (IEEE Trans. Neural Networks Learn. Syst., 2025)

Twin Trust Region Policy Optimization. - Haotian Xu; Junyu Xuan; Guangquan Zhang 001; Jie Lu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Tracking Correlations Between Multiple Data Streams Through Evolutionary Regressor Chains. - Bin Zhang; Jie Lu 001; Anjin Liu; Xin Yao 001; Guangquan Zhang 001 (IEEE Trans. Cybern., 2025)

Enhancing outdoor vision: Binocular desnowing with dual-stream temporal transformer. - En Yu; Jie Lu 001; Kaihao Zhang; Guangquan Zhang 001 (Pattern Recognit., 2026)