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

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

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

Agent-Oriented Metasynthetic Engineering for Decision Making. - Longbing Cao; Ruwei Dai (Int. J. Inf. Technol. Decis. Mak., 2003)

Ontology Transformation in Multiple Domains. - Longbing Cao; Dan Luo 001; Chao Luo; Li Liu 033 (Australian Conference on Artificial Intelligence, 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)

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)

Ontology Services-Based Information Integration in Mining Telecom Business Intelligence. - Longbing Cao; Chao Luo; Dan Luo 001; Li Liu 033 (PRICAI, 2004)

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

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)

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

Activity Mining: Challenges and Prospects. - Longbing Cao (ADMA, 2006)

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

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

Ontological Engineering in Data Warehousing. - Longbing Cao; Jiarui Ni; Dan Luo 001 (APWeb, 2006)

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

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

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

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

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

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)

Multi-strategy Integration for Actionable Trading Agents. - Longbing Cao (Web Intelligence/IAT Workshops, 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)

Building Agent Service Oriented Multi-Agent Systems. - Dan Luo 001; Longbing Cao; Jiarui Ni; Li Liu 033 (KES-AMSTA, 2007)

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

Mining High Impact Exceptional Behavior Patterns. - Longbing Cao; Yanchang Zhao; Fernando Figueiredo; Yuming Ou; Dan Luo 001 (PAKDD Workshops, 2007)

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

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

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)

Metasynthetic Computing for Solving Open Complex Problems. - Longbing Cao (COMPSAC, 2008)

Message from the EOCS-MCP 2008 Workshop Organizers. - Longbing Cao; Ruwei Dai; Vladimir I. Gorodetski (COMPSAC, 2008)

EOCS-MCP 2008 Workshop Organization. - Longbing Cao; Ruwei Dai; Vladimir I. Gorodetski (COMPSAC, 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)

Domain Driven Data Mining (D3M). - Longbing Cao (ICDM Workshops, 2008)

Behavior Informatics and Analytics: Let Behavior Talk. - Longbing Cao (ICDM Workshops, 2008)

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

Spatial-temporal attention analysis for home video. - Xuekan Qiu; Shuqiang Jiang; Huiying Liu; Qingming Huang; Longbing Cao (ICME, 2008)

Agent Collaboration for Multiple Trading Strategy Integration. - Longbing Cao; Dan Luo 001; Yanshan Xiao; Zhigang Zheng (KES-AMSTA, 2008)

Multi-agent System for Custom Relationship Management with SVMs Tool. - Yanshan Xiao; Bo Liu 002; Dan Luo 001; Longbing Cao (KES-AMSTA, 2008)

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

Outlier Mining on Multiple Time Series Data in Stock Market. - Chao Luo; Yanchang Zhao; Longbing Cao; Yuming Ou; Li Liu 033 (PRICAI, 2008)

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

Mining Exceptional Activity Patterns in Microstructure Data. - Yuming Ou; Longbing Cao; Chao Luo; Li Liu 033 (Web Intelligence, 2008)

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

Book Review: Computational Methods of Feature Selection. - Longbing Cao; David Taniar (IEEE Intell. Informatics Bull., 2008)

A Chinese question classification using one-vs-one method as a learning tool. - Yanshan Xiao; Bo Liu 002; Longbing Cao (Int. J. Intell. Inf. Database Syst., 2008)

An integrated investment decision-support framework analysing and synthesising multidimensional market dynamics. - Wanli Chen; Longbing Cao; Zhe Qin (Int. J. Intell. Syst. Technol. Appl., 2008)

Mining in-depth patterns in stock market. - Li Lin 010; Longbing Cao (Int. J. Intell. Syst. Technol. Appl., 2008)

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

Integrating Agent, Service and Organizational Computing. - Longbing Cao (Int. J. Softw. Eng. Knowl. Eng., 2008)

Knowledge Processing in Intelligent Systems. - Longbing Cao; Ngoc Thanh Nguyen 001 (J. Univers. Comput. Sci., 2008)

Intelligence Metasynthesis and Knowledge Processing in Intelligent Systems. - Longbing Cao; Ngoc Thanh Nguyen 001 (J. Univers. Comput. Sci., 2008)

Market Microstructure Patterns Powering Trading and Surveillance Agents. - Longbing Cao; Yuming Ou (J. Univers. 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)

Introduction to Agent Mining Interaction and Integration. - Longbing Cao (Data Mining and Multi-agent Integration, 2009)

Data Mining in Financial Markets. - Longbing Cao (ADMA, 2009)

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

Negative-GSP: An Efficient Method for Mining Negative Sequential Patterns. - Zhigang Zheng; Yanchang Zhao; Ziye Zuo; Longbing Cao (AusDM, 2009)

Editorial to the Proceedings of mobile technologies in enterprise computing systems workshop (MTECS 2009). - Tiong-Thye Goh; Siddhartha Bose; Wee Keong Ng; Longbing Cao; Vincent C. S. Lee (EDOCW, 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)

A Cost-Effective LSH Filter for Fast Pairwise Mining. - Gang Zhao; Yun Xiong; Longbing Cao; Dan Luo 001; Xuchun Su; Yangyong Zhu (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)

Expression-invariant Facial Identification. - Pohsiang Tsai; Tich Phuoc Tran; Longbing Cao (SMC, 2009)

Behavior Informatics: An Informatics Perspective for Behavior Studies. - Longbing Cao; Philip S. Yu (IEEE Intell. Informatics Bull., 2009)

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

Novel Intrusion Detection using Probabilistic Neural Network and Adaptive Boosting - Tich Phuoc Tran; Longbing Cao; Dat Tran; Cuong Duc Nguyen (CoRR, 2009)

Guest Editors' Introduction: Agents and Data Mining. - Longbing Cao; Vladimir Gorodetsky; Pericles A. Mitkas (IEEE Intell. Syst., 2009)

Agent Mining: The Synergy of Agents and Data Mining. - Longbing Cao; Vladimir Gorodetsky; Pericles A. Mitkas (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)

Developing actionable trading agents. - Longbing Cao; Tony He (Knowl. Inf. Syst., 2009)

A bi-modal face recognition framework integrating facial expression with facial appearance. - Pohsiang Tsai; Longbing Cao; Tom Hintz; Tony Jan (Pattern Recognit. Lett., 2009)

Metasynthesis: M-Space, M-Interaction, and M-Computing for Open Complex Giant Systems. - Longbing Cao; Ruwei Dai; Mengchu Zhou (IEEE Trans. Syst. Man Cybern. Part A, 2009)

Integrating Workflow into Agent-Based Distributed Data Mining Systems. - Chayapol Moemeng; Xinhua Zhu; Longbing Cao (ADMI, 2010)

Orientation distance-based discriminative feature extraction for multi-class classification. - Bo Liu 002; Yanshan Xiao; Longbing Cao; Philip S. Yu (CIKM, 2010)

K-farthest-neighbors-based concept boundary determination for support vector data description. - Yanshan Xiao; Bo Liu 002; Longbing Cao (CIKM, 2010)

Vote-Based LELC for Positive and Unlabeled Textual Data Streams. - Bo Liu 002; Yanshan Xiao; Longbing Cao; Philip S. Yu (ICDM Workshops, 2010)

Exploiting Local Data Uncertainty to Boost Global Outlier Detection. - Bo Liu 002; Jie Yin 001; Yanshan Xiao; Longbing Cao; Philip S. Yu (ICDM, 2010)

i-Analyst: An Agent-Based Distributed Data Mining Platform. - Chayapol Moemeng; Xinhua Zhu; Longbing Cao; Jiahang Chen (ICDM Workshops, 2010)

SMILE: A Similarity-Based Approach for Multiple Instance Learning. - Yanshan Xiao; Bo Liu 002; Longbing Cao; Jie Yin 001; Xindong Wu 001 (ICDM, 2010)

Less Effort, More Outcomes: Optimising Debt Recovery with Decision Trees. - Yanchang Zhao; Hans Bohlscheid; Shanshan Wu; Longbing Cao (ICDM Workshops, 2010)

Enhanced co-occurrence distances for categorical data in unsupervised learning. - Jia-Yi Feng; Mingchun Wang; Can Wang 004; Longbing Cao (ICMLC, 2010)

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

Detecting abnormal coupled sequences and sequence changes in group-based manipulative trading behaviors. - Longbing Cao; Yuming Ou; Philip S. Yu; Gang Wei (KDD, 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)

An Efficient GA-Based Algorithm for Mining Negative Sequential Patterns. - Zhigang Zheng; Yanchang Zhao; Ziye Zuo; Longbing Cao (PAKDD (1), 2010)

Time-Sensitive Feature Mining for Temporal Sequence Classification. - Yong Yang; Longbing Cao; Li Liu 033 (PRICAI, 2010)

Multi-agent system for customer relationship management with SVMs tool. - Yanshan Xiao; Bo Liu 002; Dan Luo 001; Longbing Cao; Feiqi Deng; Zhifeng Hao (Int. J. Intell. Inf. Database Syst., 2010)

In-depth behavior understanding and use: The behavior informatics approach. - Longbing Cao (Inf. Sci., 2010)

Domain-Driven Data Mining: Challenges and Prospects. - Longbing Cao (IEEE Trans. Knowl. Data Eng., 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)

Obtaining an Optimal MAS Configuration for Agent-Enhanced Mining Using Constraint Optimization. - Chayapol Moemeng; Can Wang 004; Longbing Cao (ADMI, 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)

Coupled nominal similarity in unsupervised learning. - Can Wang 004; Longbing Cao; Mingchun Wang; Jinjiu Li; Wei Wei 039; Yuming Ou (CIKM, 2011)

Soft subspace clustering with competitive agglomeration. - Lin Zhu; Longbing Cao; Jie Yang 002 (FUZZ-IEEE, 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)

One-Class-Based Uncertain Data Stream Learning. - Bo Liu 002; Yanshan Xiao; Longbing Cao; Philip S. Yu (SDM, 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)

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)

Behavior Computing - Modeling, Analysis, Mining and Decision. - Longbing Cao; Philip S. Yu (Springer, 2012)

A Theoretical Framework of the Graph Shift Algorithm. - Xuhui Fan 001; Longbing Cao (AAAI, 2012)

CCE: A Coupled Framework of Clustering Ensembles. - Zhong She; Can Wang 004; Longbing Cao (AAAI, 2012)

Trading Strategy Based Portfolio Selection for Actionable Trading Agents. - Wei Cao 012; Cheng Wang 022; Longbing Cao (ADMI, 2012)

A novel auto-parameters selection process for image segmentation. - Yunzhi Jiang; Pohsiang Tsai; Zhifeng Hao; Longbing Cao (IEEE Congress on Evolutionary Computation, 2012)

Multiobjective evolutionary algorithm-based soft subspace clustering. - Lin Zhu; Longbing Cao; Jie Yang 002 (IEEE Congress on Evolutionary Computation, 2012)

Maximum margin clustering on evolutionary data. - Xuhui Fan 001; Lin Zhu; Longbing Cao; Xia Cui 002; Yew-Soon Ong (CIKM, 2012)

Model the complex dependence structures of financial variables by using canonical vine. - Wei Wei 039; Xuhui Fan 001; Jinyan Li 001; Longbing Cao (CIKM, 2012)

Graph-based coupled behavior analysis: A case study on detecting collaborative manipulations in stock markets. - Yin Song; Longbing Cao (IJCNN, 2012)

Coupled behavior analysis for capturing coupling relationships in group-based market manipulations. - Yin Song; Longbing Cao; Xindong Wu 001; Gang Wei; Wu Ye; Wei Ding 003 (KDD, 2012)

USpan: an efficient algorithm for mining high utility sequential patterns. - Junfu Yin; Zhigang Zheng; Longbing Cao (KDD, 2012)

CD: A Coupled Discretization Algorithm. - Can Wang 004; Mingchun Wang; Zhong She; Longbing Cao (PAKDD (2), 2012)

A brief introduction to agent mining. - Longbing Cao; Gerhard Weiss 001; Philip S. Yu (Auton. Agents Multi Agent Syst., 2012)

Conservation of water molecules in protein binding interfaces. - Zhenhua Li; Ying He 001; Longbing Cao; Limsoon Wong; Jinyan Li 001 (Int. J. Bioinform. Res. Appl., 2012)

Top-10 Data Mining Case Studies. - Gabor Melli; Xindong Wu 001; Paul Beinat; Francesco Bonchi; Longbing Cao; Rong Duan; Christos Faloutsos; Rayid Ghani; Brendan Kitts; Bart Goethals; Geoffrey J. McLachlan; Jian Pei 001; et al. (Int. J. Inf. Technol. Decis. Mak., 2012)

Coupled Behavior Analysis with Applications. - Longbing Cao; Yuming Ou; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2012)

Social Security and Social Welfare Data Mining: An Overview. - Longbing Cao (IEEE Trans. Syst. Man Cybern. Part C, 2012)

Actionable knowledge discovery and delivery. - Longbing Cao (WIREs Data Mining Knowl. Discov., 2012)

Learning Heterogeneous Coupling Relationships Between Non-IID Terms. - Mu Li; Jinjiu Li; Yuming Ou; Ya Zhang 002; Dan Luo 001; Maninder Bahtia; Longbing Cao (ADMI, 2013)

An approach of hierarchical concept clustering on Medical Short Text corpus. - Wei Li 117; Dazhe Zhao; Jinzhu Yang; Longbing Cao (BMEI, 2013)

The Foundation of Fuzzy Rule Interchange in the Semantic Web. - Xing Wang 002; Ji Chen; Longbing Cao; Xiangfu Meng (Web Intelligence/IAT Workshops, 2013)

Coupled clustering ensemble: Incorporating coupling relationships both between base clusterings and objects. - Can Wang 004; Zhong She; Longbing Cao (ICDE, 2013)

Leveraging Supervised Label Dependency Propagation for Multi-label Learning. - Bin Fu; Guandong Xu; Zhihai Wang; Longbing Cao (ICDM, 2013)

Efficiently Mining Top-K High Utility Sequential Patterns. - Junfu Yin; Zhigang Zheng; Longbing Cao; Yin Song; Wei Wei 039 (ICDM, 2013)

Cross-Domain Collaborative Filtering via Bilinear Multilevel Analysis. - Liang Hu 004; Jian Cao 001; Guandong Xu; Jie Wang 006; Zhiping Gu; Longbing Cao (IJCAI, 2013)

Coupled Attribute Analysis on Numerical Data. - Can Wang 004; Zhong She; Longbing Cao (IJCAI, 2013)

Coupled market behavior based financial crisis detection. - Wei Cao 012; Longbing Cao; Yin Song (IJCNN, 2013)

Coupled term-term relation analysis for document clustering. - Xin Cheng; Duoqian Miao 001; Can Wang 004; Longbing Cao (IJCNN, 2013)

CRNN: Integrating classification rules into neural network. - Wei Li 117; Longbing Cao; Dazhe Zhao; Xia Cui 002; Jinzhu Yang (IJCNN, 2013)

Extracting discriminative features for identifying abnormal sequences in one-class mode. - Yin Song; Longbing Cao; Junfu Yin; Cheng Wang 022 (IJCNN, 2013)

Mining Frequent Patterns from Human Interactions in Meetings Using Directed Acyclic Graphs. - Anna Fariha; Chowdhury Farhan Ahmed; Carson Kai-Sang Leung; S. M. Abdullah; Longbing Cao (PAKDD (1), 2013)

Optimal Allocation of High Dimensional Assets through Canonical Vines. - Wei Wei 039; Jinyan Li 001; Longbing Cao; Jingguang Sun; Chunming Liu; Mu Li (PAKDD (1), 2013)

A Coupled Clustering Approach for Items Recommendation. - Yonghong Yu; Can Wang 004; Yang Gao 001; Longbing Cao; Xixi Chen (PAKDD (2), 2013)

Erratum: A Coupled Clustering Approach for Items Recommendation. - Yonghong Yu; Can Wang 004; Yang Gao 001; Longbing Cao; Qianqian Chen (PAKDD (2), 2013)

On Discovering the Correlated Relationship between Static and Dynamic Data in Clinical Gait Analysis. - Yin Song; Jian Zhang 002; Longbing Cao; Morgan Sangeux (ECML/PKDD (3), 2013)

Robust Textual Data Streams Mining Based on Continuous Transfer Learning. - Longbing Cao; Zhifeng Hao; Bo Liu 002; Yanshan Xiao; Philip S. Yu (SDM, 2013)

Efficient Selection of Globally Optimal Rules on Large Imbalanced Data Based on Rule Coverage Relationship Analysis. - Longbing Cao; Jinjiu Li; Can Wang 004; Philip S. Yu (SDM, 2013)

CGMF: Coupled Group-Based Matrix Factorization for Recommender System. - Fangfang Li; Guandong Xu; Longbing Cao; Xiaozhong Fan; Zhendong Niu (WISE (1), 2013)

Personalized recommendation via cross-domain triadic factorization. - Liang Hu 004; Jian Cao 001; Guandong Xu; Longbing Cao; Zhiping Gu; Can Zhu (WWW, 2013)

Copula Mixed-Membership Stochastic Blockmodel for Intra-Subgroup Correlations. - Xuhui Fan 001; Longbing Cao; Richard Yi Da Xu (CoRR, 2013)

Learning Hidden Structures with Relational Models by Adequately Involving Rich Information in A Network. - Xuhui Fan 001; Richard Yi Da Xu; Longbing Cao; Yin Song (CoRR, 2013)

Non-parametric Power-law Data Clustering. - Xuhui Fan 001; Yiling Zeng; Longbing Cao (CoRR, 2013)

Characterizing A Database of Sequential Behaviors with Latent Dirichlet Hidden Markov Models - Yin Song; Longbing Cao; Xuhui Fan 001; Wei Cao 012; Jian Zhang 002 (CoRR, 2013)

Optimal feature selection for sparse linear discriminant analysis and its applications in gene expression data. - Cheng Wang 022; Longbing Cao; Baiqi Miao (Comput. Stat. Data Anal., 2013)

TRASMIL: A local anomaly detection framework based on trajectory segmentation and multi-instance learning. - Wanqi Yang; Yang Gao 001; Longbing Cao (Comput. Vis. Image Underst., 2013)

On the convergence of some possibilistic clustering algorithms. - Jian Zhou 003; Longbing Cao; Nan Yang (Fuzzy Optim. Decis. Mak., 2013)

TCTM: an evaluation framework for architecture design on wireless sensor networks. - Dong Yu; Priyadarsi Nanda; Longbing Cao; Xiangjian He (Int. J. Sens. Networks, 2013)

Special issue on behavior computing. - Longbing Cao; Philip S. Yu; Hiroshi Motoda; Graham J. Williams (Knowl. Inf. Syst., 2013)

SVDD-based outlier detection on uncertain data. - Bo Liu 002; Yanshan Xiao; Longbing Cao; Zhifeng Hao; Feiqi Deng (Knowl. Inf. Syst., 2013)

Identity tests for high dimensional data using RMT. - Cheng Wang 022; Jing Yang; Baiqi Miao; Longbing Cao (J. Multivar. Anal., 2013)

Agent-Based Self-Adaptable Context-Aware Network Vulnerability Assessment. - Frank Jiang 001; Daoyi Dong; Longbing Cao; Michael R. Frater (IEEE Trans. Netw. Serv. Manag., 2013)

Combined mining: Analyzing object and pattern relations for discovering and constructing complex yet actionable patterns. - Longbing Cao (WIREs Data Mining Knowl. Discov., 2013)

Effective detection of sophisticated online banking fraud on extremely imbalanced data. - Wei Wei 039; Jinjiu Li; Longbing Cao; Yuming Ou; Jiahang Chen (World Wide Web, 2013)

Deep Modeling of Group Preferences for Group-Based Recommendation. - Liang Hu 004; Jian Cao 001; Guandong Xu; Longbing Cao; Zhiping Gu; Wei Cao 012 (AAAI, 2014)

A Coupled Similarity Kernel for Pairwise Support Vector Machine. - Mu Li; Jinjiu Li; Yuming Ou; Longbing Cao (ADMI, 2014)

Semantic Approximate Keyword Query Based on Keyword and Query Coupling Relationship Analysis. - Xiangfu Meng; Longbing Cao; Jingyu Shao (CIKM, 2014)

Welcome from DSAA 2014 chairs. - Philip S. Yu; Masaru Kitsuregawa; Hiroshi Motoda; Bart Goethals; Minyi Guo; Longbing Cao; George Karypis; Irwin King; Wei Wang 379 (DSAA, 2014)

Knowledge-leverage based TSK fuzzy system with improved knowledge transfer. - Zhaohong Deng; Yizhang Jiang; Longbing Cao; Shitong Wang 001 (FUZZ-IEEE, 2014)

Bayesian Heteroskedastic Choice Modeling on Non-identically Distributed Linkages. - Liang Hu 004; Wei Cao 012; Jian Cao 001; Guandong Xu; Longbing Cao; Zhiping Gu (ICDM, 2014)

Coupled fuzzy k-nearest neighbors classification of imbalanced non-IID categorical data. - Chunming Liu; Longbing Cao; Philip S. Yu (IJCNN, 2014)

A hybrid coupled k-nearest neighbor algorithm on imbalance data. - Chunming Liu; Longbing Cao; Philip S. Yu (IJCNN, 2014)

Modeling Asymmetry and Tail Dependence among Multiple Variables by Using Partial Regular Vine. - Wei Wei 039; Junfu Yin; Jinyan Li 001; Longbing Cao (SDM, 2014)

Coupled Item-Based Matrix Factorization. - Fangfang Li; Guandong Xu; Longbing Cao (WISE (1), 2014)

A K-Farthest-Neighbor-based approach for support vector data description. - Yanshan Xiao; Bo Liu 002; Zhifeng Hao; Longbing Cao (Appl. Intell., 2014)

mPadal: a joint local-and-global multi-view feature selection method for activity recognition. - Wanqi Yang; Yang Gao 001; Longbing Cao; Ming Yang 014; Yinghuan Shi (Appl. Intell., 2014)

Evolving soft subspace clustering. - Lin Zhu; Longbing Cao; Jie Yang 002; Jingsheng Lei (Appl. Soft Comput., 2014)

Non-IIDness Learning in Behavioral and Social Data. - Longbing Cao (Comput. J., 2014)

CMF: Coupled Matrix Factorization for Recommender Systems. - Fangfang Li; Guandong Xu; Longbing Cao; Xiaozhong Fan; Zhendong Niu (CoRR, 2014)

Behavior Informatics: A New Perspective. - Longbing Cao; Thorsten Joachims; Can Wang 004; Éric Gaussier; Jinjiu Li; Yuming Ou; Dan Luo 001; Reza Zafarani; Huan Liu 001; Guandong Xu; Zhiang Wu 001; Gabriella Pasi; et al. (IEEE Intell. Syst., 2014)

A novel graph-based k-means for nonlinear manifold clustering and representative selection. - Enmei Tu; Longbing Cao; Jie Yang 002; Nikola K. Kasabov (Neurocomputing, 2014)

An efficient orientation distance-based discriminative feature extraction method for multi-classification. - Bo Liu 002; Yanshan Xiao; Philip S. Yu; Zhifeng Hao; Longbing Cao (Knowl. Inf. Syst., 2014)

Non-parametric shrinkage mean estimation for quadratic loss functions with unknown covariance matrices. - Cheng Wang 022; Tiejun Tong; Longbing Cao; Baiqi Miao (J. Multivar. Anal., 2014)

An efficient color quantization based on generic roughness measure. - Xiaodong Yue; Duoqian Miao 001; Longbing Cao; Qiang Wu 001; Yufei Chen 002 (Pattern Recognit., 2014)

Multi-label learning based on iterative label propagation over graph. - Bin Fu; Zhihai Wang; Guandong Xu; Longbing Cao (Pattern Recognit. Lett., 2014)

Coupled K-Nearest Centroid Classification for Non-iid Data. - Mu Li; Jinjiu Li; Yuming Ou; Ya Zhang 002; Dan Luo 001; Maninder Bahtia; Longbing Cao (Trans. Comput. Collect. Intell., 2014)

Fast Local Histogram Specification. - Hui-Dong Liu; Ming Yang 014; Yang Gao 001; Longbing Cao (IEEE Trans. Circuits Syst. Video Technol., 2014)

A Similarity-Based Classification Framework for Multiple-Instance Learning. - Yanshan Xiao; Bo Liu 002; Zhifeng Hao; Longbing Cao (IEEE Trans. Cybern., 2014)

Uncertain One-Class Learning and Concept Summarization Learning on Uncertain Data Streams. - Bo Liu 002; Yanshan Xiao; Philip S. Yu; Longbing Cao; Yun Zhang 001; Zhifeng Hao (IEEE Trans. Knowl. Data Eng., 2014)

An Efficient Approach for Outlier Detection with Imperfect Data Labels. - Bo Liu 002; Yanshan Xiao; Philip S. Yu; Zhifeng Hao; Longbing Cao (IEEE Trans. Knowl. Data Eng., 2014)

Social Image Analysis From a Non-IID Perspective. - Zhe Xu 003; Ya Zhang 002; Longbing Cao (IEEE Trans. Multim., 2014)

T2FELA: Type-2 Fuzzy Extreme Learning Algorithm for Fast Training of Interval Type-2 TSK Fuzzy Logic System. - Zhaohong Deng; Kup-Sze Choi; Longbing Cao; Shitong Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2014)

Deep Modeling Complex Couplings within Financial Markets. - Wei Cao 012; Liang Hu 004; Longbing Cao (AAAI, 2015)

Coupled Collaborative Filtering for Context-aware Recommendation. - Xinxin Jiang; Wei Liu 007; Longbing Cao; Guodong Long (AAAI, 2015)

Actionable Combined High Utility Itemset Mining. - Jingyu Shao; Junfu Yin; Wei Liu 007; Longbing Cao (AAAI, 2015)

Multi-View Actionable Patterns for Managing Traffic Bottleneck. - Xiaodong Yue; Longbing Cao; Yufei Chen 002; Bin Xu (AAAI Workshop: AI for Transportation, 2015)

Financial crisis and global market couplings. - Wei Cao 012; Yves Demazeau; Longbing Cao; Weidong Zhu (DSAA, 2015)

Document similarity analysis via involving both explicit and implicit semantic couplings. - Qianqian Chen; Liang Hu 004; Jia Xu; Wei Liu 007; Longbing Cao (DSAA, 2015)

Mining actionable combined patterns of high utility and frequency. - Jingyu Shao; Junfu Yin; Wei Liu 007; Longbing Cao (DSAA, 2015)

Analysing User Reviews in Tourism with Topic Models. - Marco Rossetti; Fabio Stella; Longbing Cao; Markus Zanker (ENTER, 2015)

Coupling Multiple Views of Relations for Recommendation. - Bin Fu; Guandong Xu; Longbing Cao; Zhihai Wang; Zhiang Wu 001 (PAKDD (2), 2015)

Coupled Matrix Factorization Within Non-IID Context. - Fangfang Li; Guandong Xu; Longbing Cao (PAKDD (2), 2015)

A Coupled k-Nearest Neighbor Algorithm for Multi-label Classification. - Chunming Liu; Longbing Cao (PAKDD (1), 2015)

Online Video Recommendation in Sharing Community. - Xiangmin Zhou; Lei Chen 002; Yanchun Zhang; Longbing Cao; Guangyan Huang; Chen Wang 008 (SIGMOD Conference, 2015)

CSAL: Self-adaptive Labeling based Clustering Integrating Supervised Learning on Unlabeled Data. - Fangfang Li; Guandong Xu; Longbing Cao (CoRR, 2015)

Coupling Analysis Between Twitter and Call Centre. - Fangfang Li; Yanchang Zhao; Klaus Felsche; Guandong Xu; Longbing Cao (CoRR, 2015)

A new framework for mining frequent interaction patterns from meeting databases. - Anna Fariha; Chowdhury Farhan Ahmed; Carson K. Leung; Md. Samiullah 001; Suraiya Pervin; Longbing Cao (Eng. Appl. Artif. Intell., 2015)

Financial Crisis Forecasting via Coupled Market State Analysis. - Wei Cao 012; Longbing Cao (IEEE Intell. Syst., 2015)

Nonoccurring Behavior Analytics: A New Area. - Longbing Cao; Philip S. Yu; Vipin Kumar 001 (IEEE Intell. Syst., 2015)

Coupling learning of complex interactions. - Longbing Cao (Inf. Process. Manag., 2015)

Multi-view attribute reduction model for traffic bottleneck analysis. - Xiaodong Yue; Longbing Cao; Duoqian Miao 001; Yufei Chen 002; B. Xu (Knowl. Based Syst., 2015)

A convergence theorem for graph shift-type algorithms. - Xuhui Fan 001; Longbing Cao (Pattern Recognit., 2015)

Automatic multilevel thresholding for image segmentation using stratified sampling and Tabu Search. - Yunzhi Jiang; Pohsiang Tsai; Zhifeng Hao; Longbing Cao (Soft Comput., 2015)

Mining Top K Spread Sources for a Specific Topic and a Given Node. - Weiwei Liu 003; Zhi-Hong Deng 001; Longbing Cao; Xiaoran Xu; He Liu; Xiuwen Gong (IEEE Trans. Cybern., 2015)

Minimax Probability TSK Fuzzy System Classifier: A More Transparent and Highly Interpretable Classification Model. - Zhaohong Deng; Longbing Cao; Yizhang Jiang; Shitong Wang 001 (IEEE Trans. Fuzzy Syst., 2015)

Mining Partially-Ordered Sequential Rules Common to Multiple Sequences. - Philippe Fournier-Viger; Cheng-Wei Wu; Vincent S. Tseng; Longbing Cao; Roger Nkambou (IEEE Trans. Knowl. Data Eng., 2015)

Dynamic Infinite Mixed-Membership Stochastic Blockmodel. - Xuhui Fan 001; Longbing Cao; Richard Yi Da Xu (IEEE Trans. Neural Networks Learn. Syst., 2015)

Coupled Attribute Similarity Learning on Categorical Data. - Can Wang 004; Xiangjun Dong 001; Fei Zhou 001; Longbing Cao; Chi-Hung Chi (IEEE Trans. Neural Networks Learn. Syst., 2015)

MRM-Lasso: A Sparse Multiview Feature Selection Method via Low-Rank Analysis. - Wanqi Yang; Yang Gao 001; Yinghuan Shi; Longbing Cao (IEEE Trans. Neural Networks Learn. Syst., 2015)

Formalization and Verification of Group Behavior Interactions. - Can Wang 004; Longbing Cao; Chi-Hung Chi (IEEE Trans. Syst. Man Cybern. Syst., 2015)

Metasynthetic Computing and Engineering of Complex Systems - Longbing Cao (Springer, 2015)

Improving the Performance of Collaborative Filtering with Category-Specific Neighborhood. - Karnam Dileep Kumar; Krishna Reddy Polepalli; Pailla Balakrishna Reddy; Longbing Cao (ACIIDS (2), 2016)

Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature Couplings. - Guansong Pang; Longbing Cao; Ling Chen 006; Huan Liu 001 (ICDM, 2016)

Copula Mixed-Membership Stochastic Blockmodel. - Xuhui Fan 001; Richard Yi Da Xu; Longbing Cao (IJCAI, 2016)

Outlier Detection in Complex Categorical Data by Modeling the Feature Value Couplings. - Guansong Pang; Longbing Cao; Ling Chen 006 (IJCAI, 2016)

Training deep neural networks on imbalanced data sets. - Shoujin Wang; Wei Liu 007; Jia Wu 001; Longbing Cao; Qinxue Meng; Paul J. Kennedy (IJCNN, 2016)

e-NSP: Efficient negative sequential pattern mining. - Longbing Cao; Xiangjun Dong 001; Zhigang Zheng (Artif. Intell., 2016)

Conference Report on 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA'2015) [Conference Reports]. - Éric Gaussier; Longbing Cao (IEEE Comput. Intell. Mag., 2016)

Data Science: Nature and Pitfalls. - Longbing Cao (IEEE Intell. Syst., 2016)

Data science and analytics: a new era. - Longbing Cao (Int. J. Data Sci. Anal., 2016)

Permutation anonymization. - Dong Li 024; Xianmang He; Longbing Cao; Huahui Chen 001 (J. Intell. Inf. Syst., 2016)

Two-level matrix factorization for recommender systems. - Fangfang Li; Guandong Xu; Longbing Cao (Neural Comput. Appl., 2016)

Scientific Article Recommendation: Exploiting Common Author Relations and Historical Preferences. - Feng Xia 001; Haifeng Liu; Ivan Lee 001; Longbing Cao (IEEE Trans. Big Data, 2016)

Learning Informative Priors from Heterogeneous Domains to Improve Recommendation in Cold-Start User Domains. - Liang Hu 004; Longbing Cao; Jian Cao 001; Zhiping Gu; Guandong Xu; Dingyu Yang (ACM Trans. Inf. Syst., 2016)

Mining preferred navigation patterns by consolidating both selection and time preferences. - Bin Shen 001; Longbing Cao; Min Yao; Yunjun Gao (World Wide Web, 2016)

An effective contrast sequential pattern mining approach to taxpayer behavior analysis. - Zhigang Zheng; Wei Wei 039; Chunming Liu; Wei Cao 012; Longbing Cao; Maninder Bhatia (World Wide Web, 2016)

Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks. - Yinghuan Shi; Wenbin Li 006; Yang Gao 001; Longbing Cao; Dinggang Shen (AAAI, 2017)

Selective Value Coupling Learning for Detecting Outliers in High-Dimensional Categorical Data. - Guansong Pang; Hongzuo Xu; Longbing Cao; Wentao Zhao (CIKM, 2017)

Copula-Based High Dimensional Cross-Market Dependence Modeling. - Jia Xu; Wei Wei 039; Longbing Cao (DSAA, 2017)

Diversifying Personalized Recommendation with User-session Context. - Liang Hu 004; Longbing Cao; Shoujin Wang; Guandong Xu; Jian Cao 001; Zhiping Gu (IJCAI, 2017)

Embedding-based Representation of Categorical Data by Hierarchical Value Coupling Learning. - Songlei Jian; Longbing Cao; Guansong Pang; Kai Lu 001; Hang Gao (IJCAI, 2017)

Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection. - Guansong Pang; Longbing Cao; Ling Chen 006; Huan Liu 001 (IJCAI, 2017)

Behavior Informatics to Discover Behavior Insight for Active and Tailored Client Management. - Longbing Cao (KDD, 2017)

Discrete Content-aware Matrix Factorization. - Defu Lian; Rui Liu 019; Yong Ge; Kai Zheng 001; Xing Xie 001; Longbing Cao (KDD, 2017)

Perceiving the Next Choice with Comprehensive Transaction Embeddings for Online Recommendation. - Shoujin Wang; Liang Hu 004; Longbing Cao (ECML/PKDD (2), 2017)

A honey-bee-mating based algorithm for multilevel image segmentation using Bayesian theorem. - Yunzhi Jiang; Pohsiang Tsai; Wei-Chang Yeh 001; Longbing Cao (Appl. Soft Comput., 2017)

Data science: challenges and directions. - Longbing Cao (Commun. ACM, 2017)

Data Science: A Comprehensive Overview. - Longbing Cao (ACM Comput. Surv., 2017)

Classification of high-dimensional evolving data streams via a resource-efficient online ensemble. - Tingting Zhai; Yang Gao 001; Hao Wang 013; Longbing Cao (Data Min. Knowl. Discov., 2017)

Septic shock prediction for ICU patients via coupled HMM walking on sequential contrast patterns. - Shameek Ghosh; Jinyan Li 001; Longbing Cao; Kotagiri Ramamohanarao (J. Biomed. Informatics, 2017)

Top-k coupled keyword recommendation for relational keyword queries. - Xiangfu Meng; Longbing Cao; Xiaoyan Zhang 005; Jingyu Shao (Knowl. Inf. Syst., 2017)

SVM-based multi-state-mapping approach for multi-class classification. - Bo Liu 002; Yanshan Xiao; Longbing Cao (Knowl. Based Syst., 2017)

Learning Nonparametric Relational Models by Conjugately Incorporating Node Information in a Network. - Xuhui Fan 001; Richard Yi Da Xu; Longbing Cao; Yin Song (IEEE Trans. Cybern., 2017)

Improving the Quality of Recommendations for Users and Items in the Tail of Distribution. - Liang Hu 004; Longbing Cao; Jian Cao 001; Zhiping Gu; Guandong Xu; Jie Wang 006 (ACM Trans. Inf. Syst., 2017)

Enhancing online video recommendation using social user interactions. - Xiangmin Zhou; Lei Chen 002; Yanchun Zhang; Dong Qin; Longbing Cao; Guangyan Huang; Chen Wang 008 (VLDB J., 2017)

Coupled Poisson Factorization Integrated With User/Item Metadata for Modeling Popular and Sparse Ratings in Scalable Recommendation. - Trong Dinh Thac Do; Longbing Cao (AAAI, 2018)

Metric-Based Auto-Instructor for Learning Mixed Data Representation. - Songlei Jian; Liang Hu 004; Longbing Cao; Kai Lu 001 (AAAI, 2018)

Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data. - Guansong Pang; Longbing Cao; Ling Chen 006; Defu Lian; Huan Liu 001 (AAAI, 2018)

Attention-Based Transactional Context Embedding for Next-Item Recommendation. - Shoujin Wang; Liang Hu 004; Longbing Cao; Xiaoshui Huang; Defu Lian; Wei Liu 007 (AAAI, 2018)

Interactive Probabilistic Post-Mining of User-Preferred Spatial Co-Location Patterns. - Lizhen Wang 001; Xuguang Bao; Longbing Cao (ICDE, 2018)

Deep-PUMR: Deep Positive and Unlabeled Learning with Manifold Regularization. - Xingyu Chen; Fanghui Liu 001; Enmei Tu; Longbing Cao; Jie Yang 002 (ICONIP (1), 2018)

Metadata-dependent Infinite Poisson Factorization for Efficiently Modelling Sparse and Large Matrices in Recommendation. - Trong Dinh Thac Do; Longbing Cao (IJCAI, 2018)

Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents. - Liang Hu 004; Songlei Jian; Longbing Cao; Qingkui Chen (IJCAI, 2018)

CoupledCF: Learning Explicit and Implicit User-item Couplings in Recommendation for Deep Collaborative Filtering. - Quangui Zhang; Longbing Cao; Chengzhang Zhu; Zhiqiang Li; Jinguang Sun (IJCAI, 2018)

High-order Proximity Preserving Information Network Hashing. - Defu Lian; Kai Zheng 001; Vincent W. Zheng; Yong Ge; Longbing Cao; Ivor W. Tsang; Xing Xie 001 (KDD, 2018)

Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection. - Guansong Pang; Longbing Cao; Ling Chen 006; Huan Liu 001 (KDD, 2018)

Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence. - Trong Dinh Thac Do; Longbing Cao (NeurIPS, 2018)

Vine Copula-Based Asymmetry and Tail Dependence Modeling. - Jia Xu; Longbing Cao (PAKDD (1), 2018)

Coupled Collective Matrix Factorization. - Liying Zhang; Longbing Cao; Sheng Luo 006; Lei Gu; Yijin Chen; Yuanfeng Lian (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

Concept coupling learning for improving concept lattice-based document retrieval. - Shufeng Hao; Chongyang Shi 001; Zhendong Niu; Longbing Cao (Eng. Appl. Artif. Intell., 2018)

Coupled Node Similarity Learning for Community Detection in Attributed Networks. - Fanrong Meng; Xiaobin Rui; Zhixiao Wang; Yan Xing 003; Longbing Cao (Entropy, 2018)

Neural Cross-Session Filtering: Next-Item Prediction Under Intra- and Inter-Session Context. - Liang Hu 004; Qingkui Chen; Haiyan Zhao 002; Songlei Jian; Longbing Cao; Jian Cao 001 (IEEE Intell. Syst., 2018)

Introduction to the special issue on Data Science in Asia (with PAKDD'2017). - Longbing Cao; Jae-Gil Lee 001; Xuemin Lin 001 (Int. J. Data Sci. Anal., 2018)

Modeling and Forecasting the Popularity Evolution of Mobile Apps: A Multivariate Hawkes Process Approach. - Yi Ouyang 003; Bin Guo 001; Tong Guo; Longbing Cao; Zhiwen Yu 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

Generalized Hidden-Mapping Minimax Probability Machine for the training and reliability learning of several classical intelligent models. - Zhaohong Deng; Junyong Chen; Te Zhang; Longbing Cao; Shitong Wang 001 (Inf. Sci., 2018)

Effective lossless condensed representation and discovery of spatial co-location patterns. - Lizhen Wang 001; Xuguang Bao; Hongmei Chen 003; Longbing Cao (Inf. Sci., 2018)

F-NSP+: A fast negative sequential patterns mining method with self-adaptive data storage. - Xiangjun Dong 001; Yongshun Gong; Longbing Cao (Pattern Recognit., 2018)

Exploring Feature Coupling and Model Coupling for Image Source Identification. - Yonggang Huang; Longbing Cao; Jun Zhang 010; Lei Pan 002; Yuying Liu (IEEE Trans. Inf. Forensics Secur., 2018)

Coupled Clustering Ensemble by Exploring Data Interdependence. - Can Wang 004; Chi-Hung Chi; Zhong She; Longbing Cao; Bela Stantic (ACM Trans. Knowl. Discov. Data, 2018)

Unsupervised Coupled Metric Similarity for Non-IID Categorical Data. - Songlei Jian; Longbing Cao; Kai Lu 001; Hang Gao (IEEE Trans. Knowl. Data Eng., 2018)

Heterogeneous Metric Learning of Categorical Data with Hierarchical Couplings. - Chengzhang Zhu; Longbing Cao; Qiang Liu 004; Jianping Yin; Vipin Kumar 001 (IEEE Trans. Knowl. Data Eng., 2018)

GeoMF++: Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization. - Defu Lian; Kai Zheng 001; Yong Ge; Longbing Cao; Enhong Chen; Xing Xie 001 (ACM Trans. Inf. Syst., 2018)

HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation. - Liang Hu 004; Songlei Jian; Longbing Cao; Zhiping Gu; Qingkui Chen; Artak Amirbekyan (AAAI, 2019)

Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content. - Songlei Jian; Liang Hu 004; Longbing Cao; Kai Lu 001; Hang Gao (AAAI, 2019)

Multi-View Information-Theoretic Co-Clustering for Co-Occurrence Data. - Peng Xu; Zhaohong Deng; Kup-Sze Choi; Longbing Cao; Shitong Wang 001 (AAAI, 2019)

TBQ(σ): Improving Efficiency of Trace Utilization for Off-Policy Reinforcement Learning. - Longxiang Shi; Shijian Li; Longbing Cao; Long Yang 004; Gang Pan 001 (AAMAS, 2019)

Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks. - Shoujin Wang; Liang Hu 004; Yan Wang 002; Quan Z. Sheng; Mehmet A. Orgun; Longbing Cao (IJCAI, 2019)

Sequential Recommender Systems: Challenges, Progress and Prospects. - Shoujin Wang; Liang Hu 004; Yan Wang 002; Longbing Cao; Quan Z. Sheng; Mehmet A. Orgun (IJCAI, 2019)

Enhancing Mobile App User Understanding and Marketing With Heterogeneous Crowdsourced Data: A Review. - Bin Guo 001; Yi Ouyang 003; Tong Guo; Longbing Cao; Zhiwen Yu 001 (IEEE Access, 2019)

Evolving Coauthorship Modeling and Prediction via Time-Aware Paired Choice Analysis. - Liang Hu 004; Qingkui Chen; Longbing Cao; Songlei Jian; Haiyan Zhao 002; Jian Cao 001 (IEEE Access, 2019)

A Survey on Session-based Recommender Systems. - Shoujin Wang; Longbing Cao; Yan Wang 002 (CoRR, 2019)

Negative Sequence Analysis: A Review. - Wei Wang 379; Longbing Cao (ACM Comput. Surv., 2019)

Modeling positive and negative feedback for improving document retrieval. - Shufeng Hao; Chongyang Shi 001; Zhendong Niu; Longbing Cao (Expert Syst. Appl., 2019)

Data Science: Profession and Education. - Longbing Cao (IEEE Intell. Syst., 2019)

CURE: Flexible Categorical Data Representation by Hierarchical Coupling Learning. - Songlei Jian; Guansong Pang; Longbing Cao; Kai Lu 001; Hang Gao (IEEE Trans. Knowl. Data Eng., 2019)

HCBC: A Hierarchical Case-Based Classifier Integrated with Conceptual Clustering. - Qi Zhang 020; Chongyang Shi 001; Zhendong Niu; Longbing Cao (IEEE Trans. Knowl. Data Eng., 2019)

Mining Top- ${k}$ Useful Negative Sequential Patterns via Learning. - Xiangjun Dong 001; Ping Qiu; Jinhu Lü; Longbing Cao; Tiantian Xu 002 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data. - Songlei Jian; Liang Hu 004; Longbing Cao; Kai Lu 001 (AAAI, 2020)

Intention Nets: Psychology-Inspired User Choice Behavior Modeling for Next-Basket Prediction. - Shoujin Wang; Liang Hu 004; Yan Wang 002; Quan Z. Sheng; Mehmet A. Orgun; Longbing Cao (AAAI, 2020)

Mix2Vec: Unsupervised Mixed Data Representation. - Chengzhang Zhu; Qi Zhang 020; Longbing Cao; Arman Abrahamyan (DSAA, 2020)

Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket Planning. - Shoujin Wang; Liang Hu 004; Yan Wang 002; Quan Z. Sheng; Mehmet A. Orgun; Longbing Cao (IJCAI, 2020)

Maximum Entropy Reinforcement Learning with Evolution Strategies. - Longxiang Shi; Shijian Li; Qian Zheng; Longbing Cao; Long Yang 004; Gang Pan 001 (IJCNN, 2020)

IEEE DSAA-The IEEE Flagship Conference in Data Science [Society Briefs]. - Longbing Cao; Marley M. B. R. Vellasco (IEEE Comput. Intell. Mag., 2020)

Graph Learning Approaches to Recommender Systems: A Review. - Shoujin Wang; Liang Hu 004; Yan Wang 002; Xiangnan He 001; Quan Z. Sheng; Mehmet A. Orgun; Longbing Cao; Nan Wang 009; Francesco Ricci 001; Philip S. Yu (CoRR, 2020)

Jointly Modeling Intra- and Inter-transaction Dependencies with Hierarchical Attentive Transaction Embeddings for Next-item Recommendation. - Shoujin Wang; Longbing Cao; Liang Hu 004; Shlomo Berkovsky; Xiaoshui Huang; Lin Xiao 002; Wenpeng Lu (CoRR, 2020)

Non-IID Recommender Systems: A Review and Framework of Recommendation Paradigm Shifting. - Longbing Cao (CoRR, 2020)

AI in FinTech: A Research Agenda. - Longbing Cao (CoRR, 2020)

Deep Reinforcement Learning for Unknown Anomaly Detection. - Guansong Pang; Anton van den Hengel; Chunhua Shen; Longbing Cao (CoRR, 2020)

Special Issue on AI and FinTech: The Challenge Ahead. - Longbing Cao; George Yuan; Tim Leung; Wei Zhang 221 (IEEE Intell. Syst., 2020)

The Era of Intelligent Recommendation: Editorial on Intelligent Recommendation with Advanced AI and Learning. - Shoujin Wang; Gabriella Pasi; Liang Hu 004; Longbing Cao (IEEE Intell. Syst., 2020)

e-RNSP: An Efficient Method for Mining Repetition Negative Sequential Patterns. - Xiangjun Dong 001; Yongshun Gong; Longbing Cao (IEEE Trans. Cybern., 2020)

Heterogeneous Univariate Outlier Ensembles in Multidimensional Data. - Guansong Pang; Longbing Cao (ACM Trans. Knowl. Discov. Data, 2020)

Inferring Implicit Rules by Learning Explicit and Hidden Item Dependency. - Shoujin Wang; Longbing Cao (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty. - Guifeng Wang; Longbing Cao; Hongke Zhao; Qi Liu 003; Enhong Chen (AAAI, 2021)

Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data. - Qi Zhang 020; Longbing Cao; Chongyang Shi 001; Liang Hu 004 (AAAI, 2021)

Self-supervised Bilingual Syntactic Alignment for Neural Machine Translation. - Tianfu Zhang; Heyan Huang; Chong Feng 001; Longbing Cao (AAAI, 2021)

BiCMTS: Bidirectional Coupled Multivariate Learning of Irregular Time Series with Missing Values. - Qinfen Wang; Siyuan Ren; Yong Xia 001; Longbing Cao (CIKM, 2021)

Enlivening Redundant Heads in Multi-head Self-attention for Machine Translation. - Tianfu Zhang; Heyan Huang; Chong Feng 001; Longbing Cao (EMNLP (1), 2021)

Graph Learning based Recommender Systems: A Review. - Shoujin Wang; Liang Hu 004; Yan Wang 002; Xiangnan He 001; Quan Z. Sheng; Mehmet A. Orgun; Longbing Cao; Francesco Ricci 001; Philip S. Yu (IJCAI, 2021)

Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data. - Guansong Pang; Anton van den Hengel; Chunhua Shen; Longbing Cao (KDD, 2021)

Anomaly and Novelty Detection, Explanation, and Accommodation (ANDEA). - Guansong Pang; Jundong Li; Anton van den Hengel; Longbing Cao; Thomas G. Dietterich (KDD, 2021)

Deep Learning for Anomaly Detection: Challenges, Methods, and Opportunities. - Guansong Pang; Longbing Cao; Charu Aggarwal 001 (WSDM, 2021)

COVID-19 Modeling: A Review. - Longbing Cao; Qing Liu; Wenfeng Hou (CoRR, 2021)

Personalized next-best action recommendation with multi-party interaction learning for automated decision-making. - Longbing Cao; Chengzhang Zhu (CoRR, 2021)

Revealing Distributional Vulnerability of Explicit Discriminators by Implicit Generators. - Zhilin Zhao 001; Longbing Cao; Kun-Yu Lin (CoRR, 2021)

Modeling COVID-19 uncertainties evolving over time and density-dependent social reinforcement and asymptomatic infections. - Qing Liu; Longbing Cao (CoRR, 2021)

Table2Vec: Automated Universal Representation Learning to Encode All-round Data DNA for Benchmarkable and Explainable Enterprise Data Science. - Longbing Cao; Chengzhang Zhu (CoRR, 2021)

Homophily outlier detection in non-IID categorical data. - Guansong Pang; Longbing Cao; Ling Chen 006 (Data Min. Knowl. Discov., 2021)

Learning deep relevance couplings for ad-hoc document retrieval. - Shufeng Hao; Chongyang Shi 001; Longbing Cao; Zhendong Niu; Ping Guo 002 (Expert Syst. Appl., 2021)

Answer Keyword Generation for Community Question Answering by Multiaspect Gamma-Poisson Matrix Completion. - Qing Liu; Trong Dinh Thac Do; Longbing Cao (IEEE Intell. Syst., 2021)

Hierarchical Attentive Transaction Embedding With Intra- and Inter-Transaction Dependencies for Next-Item Recommendation. - Shoujin Wang; Longbing Cao; Liang Hu 004; Shlomo Berkovsky; Xiaoshui Huang; Lin Xiao 002; Wenpeng Lu (IEEE Intell. Syst., 2021)

Learning Complex Couplings and Interactions. - Can Wang 004; Fosca Giannotti; Longbing Cao (IEEE Intell. Syst., 2021)

Data science and AI in FinTech: an overview. - Longbing Cao; Qiang Yang 001; Philip S. Yu (Int. J. Data Sci. Anal., 2021)

dhCM: Dynamic and Hierarchical Event Categorization and Discovery for Social Media Stream. - Jinjin Guo; Zhiguo Gong; Longbing Cao (ACM Trans. Intell. Syst. Technol., 2021)

VM-NSP: Vertical Negative Sequential Pattern Mining with Loose Negative Element Constraints. - Wei Wang 379; Longbing Cao (ACM Trans. Inf. Syst., 2021)

Interactive Sequential Basket Recommendation by Learning Basket Couplings and Positive/Negative Feedback. - Wei Wang 379; Longbing Cao (ACM Trans. Inf. Syst., 2021)

Deep Learning for Search and Recommendation. - Wei Liu 007; Kexin Xie; Linsey Pang; James Bailey 001; Longbing Cao; Yuxi Zhang (CIKM, 2022)

Mining Contextual Item Similarity without Concept Hierarchy. - Mohammad Fahim Arefin; Chowdhury Farhan Ahmed; Redwan Ahmed Rizvee; Carson K. Leung; Longbing Cao (IMCOM, 2022)

A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing. - Qi Zhang 020; Liang Hu 004; Longbing Cao; Chongyang Shi 001; Shoujin Wang; Dora D. Liu (IJCAI, 2022)

Shallow and Deep Non-IID Learning on Complex Data. - Longbing Cao; Philip S. Yu; Zhilin Zhao 001 (KDD, 2022)

ANDEA: Anomaly and Novelty Detection, Explanation, and Accommodation. - Guansong Pang; Jundong Li; Anton van den Hengel; Longbing Cao; Thomas G. Dietterich (KDD, 2022)

Coupling Online-Offline Learning for Multi-distributional Data Streams. - Zhilin Zhao 001; Longbing Cao; Yuan-Yu Wan (CoRR, 2022)

Supervision Adaptation Balances In-Distribution Generalization and Out-of-Distribution Detection. - Zhilin Zhao 001; Longbing Cao; Kun-Yu Lin (CoRR, 2022)

Label and Distribution-discriminative Dual Representation Learning for Out-of-Distribution Detection. - Zhilin Zhao 001; Longbing Cao (CoRR, 2022)

Supervised Deep Hashing for High-dimensional and Heterogeneous Case-based Reasoning. - Qi Zhang 020; Liang Hu 004; Chongyang Shi 001; Ke Liu; Longbing Cao (CoRR, 2022)

Edge-Varying Fourier Graph Networks for Multivariate Time Series Forecasting. - Kun Yi 001; Qi Zhang 020; Liang Hu 004; Hui He; Ning An 001; Longbing Cao; Zhendong Niu (CoRR, 2022)

Tri-Attention: Explicit Context-Aware Attention Mechanism for Natural Language Processing. - Rui Yu 005; Yifeng Li 001; Wenpeng Lu; Longbing Cao (CoRR, 2022)

Deep Learning for Anomaly Detection: A Review. - Guansong Pang; Chunhua Shen; Longbing Cao; Anton van den Hengel (ACM Comput. Surv., 2022)

A Survey on Session-based Recommender Systems. - Shoujin Wang; Longbing Cao; Yan Wang 002; Quan Z. Sheng; Mehmet A. Orgun; Defu Lian (ACM Comput. Surv., 2022)

AI Science and Engineering: A New Field. - Longbing Cao (IEEE Intell. Syst., 2022)

AI Science and Engineering. - Longbing Cao (IEEE Intell. Syst., 2022)

A New Age of AI: Features and Futures. - Longbing Cao (IEEE Intell. Syst., 2022)

AI in Combating the COVID-19 Pandemic. - Longbing Cao (IEEE Intell. Syst., 2022)

Non-IID Federated Learning. - Longbing Cao (IEEE Intell. Syst., 2022)

Deep Learning Applications. - Longbing Cao (IEEE Intell. Syst., 2022)

Decentralized AI: Edge Intelligence and Smart Blockchain, Metaverse, Web3, and DeSci. - Longbing Cao (IEEE Intell. Syst., 2022)

Non-IID Learning. - Longbing Cao (IEEE Intell. Syst., 2022)

Beyond i.i.d.: Non-IID Thinking, Informatics, and Learning. - Longbing Cao (IEEE Intell. Syst., 2022)

AutoAI: Autonomous AI. - Longbing Cao (IEEE Intell. Syst., 2022)

Beyond AutoML: Mindful and Actionable AI and AutoAI With Mind and Action. - Longbing Cao (IEEE Intell. Syst., 2022)

From Features Engineering to Scenarios Engineering for Trustworthy AI: I&I, C&C, and V&V. - Xuan Li 006; Peijun Ye 001; Juanjuan Li; Zhongmin Liu; Longbing Cao; Fei-Yue Wang 001 (IEEE Intell. Syst., 2022)

CoupledMUTS: Coupled Multivariate Utility Time-Series Representation and Prediction. - Siyuan Ren; Bin Guo 001; Ke Li 045; Qianru Wang; Zhiwen Yu 001; Longbing Cao (IEEE Internet Things J., 2022)

Unsupervised Heterogeneous Coupling Learning for Categorical Representation. - Chengzhang Zhu; Longbing Cao; Jianping Yin (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

DeepExpress: Heterogeneous and Coupled Sequence Modeling for Express Delivery Prediction. - Siyuan Ren; Bin Guo 001; Longbing Cao; Ke Li 045; Jiaqi Liu 002; Zhiwen Yu 001 (ACM Trans. Intell. Syst. Technol., 2022)

Learning Multiaspect Traffic Couplings by Multirelational Graph Attention Networks for Traffic Prediction. - Jing Huang 013; Kun Luo; Longbing Cao; Yuanqiao Wen; Shuyuan Zhong (IEEE Trans. Intell. Transp. Syst., 2022)

Recurrent Coupled Topic Modeling over Sequential Documents. - Jinjin Guo; Longbing Cao; Zhiguo Gong (ACM Trans. Knowl. Discov. Data, 2022)

Neural Time-Aware Sequential Recommendation by Jointly Modeling Preference Dynamics and Explicit Feature Couplings. - Qi Zhang 020; Longbing Cao; Chongyang Shi 001; Zhendong Niu (IEEE Trans. Neural Networks Learn. Syst., 2022)

Deep Spectral Copula Mechanisms Modeling Coupled and Volatile Multivariate Time Series. - Yang Yang 034; Zhilin Zhao 001; Longbing Cao (DSAA, 2023)

An Unsupervised Hierarchical Clustering Approach to Improve Hopfield Retrieval Accuracy. - Matthew Lai; Longbing Cao; Haiyan Lu; Quang Ha; Li Li 031; Md. Jahangir Hossain 001; Paul J. Kennedy (IJCNN, 2023)

MTSNet: Deep Probabilistic Cross-multivariate Time Series Modeling with External Factors for COVID-19. - Yang Yang 034; Longbing Cao (IJCNN, 2023)

R-divergence for Estimating Model-oriented Distribution Discrepancy. - Zhilin Zhao 001; Longbing Cao (NeurIPS, 2023)

FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective. - Kun Yi 001; Qi Zhang 020; Wei Fan 010; Hui He; Liang Hu 004; Pengyang Wang; Ning An 001; Longbing Cao; Zhendong Niu (NeurIPS, 2023)

Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. - Kun Yi 001; Qi Zhang 020; Wei Fan 010; Shoujin Wang; Pengyang Wang; Hui He; Ning An 001; Defu Lian; Longbing Cao; Zhendong Niu (NeurIPS, 2023)

ClinicLens: Visual Analytics for Exploring and Optimizing the Testing Capacity of Clinics given Uncertainty. - Yu Dong; Jie Liang 004; Longbing Cao; Daniel R. Catchpoole (CoRR, 2023)

Bayesian Federated Learning: A Survey. - Longbing Cao; Hui Chen 026; Xuhui Fan 001; João Gama 001; Yew-Soon Ong; Vipin Kumar 001 (CoRR, 2023)

C2VAE: Gaussian Copula-based VAE Differing Disentangled from Coupled Representations with Contrastive Posterior. - Zhangkai Wu; Longbing Cao (CoRR, 2023)

Bayesian Personalized Federated Learning with Shared and Personalized Uncertainty Representations. - Hui Chen 026; Hengyu Liu 001; Longbing Cao; Tiancheng Zhang 001 (CoRR, 2023)

Out-of-Distribution Knowledge Distillation via Confidence Amendment. - Zhilin Zhao 001; Longbing Cao; Yixuan Zhang (CoRR, 2023)

AI in Finance: Challenges, Techniques, and Opportunities. - Longbing Cao (ACM Comput. Surv., 2023)

Dual Representation Learning for Out-of-distribution Detection. - Zhilin Zhao 001; Longbing Cao (Trans. Mach. Learn. Res., 2023)

BiT-MAC: Mortality prediction by bidirectional time and multi-feature attention coupled network on multivariate irregular time series. - Qinfen Wang; Geng Chen 001; Xuting Jin; Siyuan Ren; Gang Wang; Longbing Cao; Yong Xia 001 (Comput. Biol. Medicine, 2023)

AI and data science for smart emergency, crisis and disaster resilience. - Longbing Cao (Int. J. Data Sci. Anal., 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)

Revealing the Distributional Vulnerability of Discriminators by Implicit Generators. - Zhi-Lin Zhao 001; Longbing Cao; Kun-Yu Lin (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Modeling User Demand Evolution for Next-Basket Prediction. - Shoujin Wang; Yan Wang 002; Liang Hu 004; Xiuzhen Zhang 001; Qi Zhang 020; Quan Z. Sheng; Mehmet A. Orgun; Longbing Cao; Defu Lian (IEEE Trans. Knowl. Data Eng., 2023)

Supervision Adaptation Balancing In-Distribution Generalization and Out-of-Distribution Detection. - Zhilin Zhao 001; Longbing Cao; Kun-Yu Lin (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Global COVID-19 Research and Modeling - A Historical Record, 1 - Longbing Cao (Springer, 2024)

Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector. - An Lao; Qi Zhang 020; Chongyang Shi 001; Longbing Cao; Kun Yi 001; Liang Hu 004; Duoqian Miao 001 (AAAI, 2024)

Influence-Aware Group Recommendation for Social Media Propagation. - Chengkun He; Xiangmin Zhou; Chen Wang 008; Longbing Cao; Jie Shao 001; Zahir Tari (ICDM, 2024)

Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data. - Zhilin Zhao 001; Longbing Cao; Xuhui Fan 001; Wei-Shi Zheng 001 (NeurIPS, 2024)

Rethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series Forecasting. - Runze Yang; Longbing Cao; Jie Yang 002; Jianxun Li (NeurIPS, 2024)

Weakly Augmented Variational Autoencoder in Time Series Anomaly Detection. - Zhangkai Wu; Longbing Cao; Qi Zhang 020; Junxian Zhou; Hui Chen 026 (CoRR, 2024)

DE3-BERT: Distance-Enhanced Early Exiting for BERT based on Prototypical Networks. - Jianing He; Qi Zhang 020; Weiping Ding 001; Duoqian Miao 001; Jun Zhao; Liang Hu 004; Longbing Cao (CoRR, 2024)

Causal Learning for Trustworthy Recommender Systems: A Survey. - Jin Li 002; Shoujin Wang; Qi Zhang 020; Longbing Cao; Fang Chen 001; Xiuzhen Zhang 001; Dietmar Jannach; Charu C. Aggarwal (CoRR, 2024)

FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification. - Hui Chen 026; Hengyu Liu 001; Zhangkai Wu; Xuhui Fan 001; Longbing Cao (CoRR, 2024)

ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networks. - Zhangkai Wu; Xuhui Fan 001; Jin Li 002; Zhilin Zhao 001; Hui Chen 026; Longbing Cao (CoRR, 2024)

AI Robots and Humanoid AI: Review, Perspectives and Directions. - Longbing Cao (CoRR, 2024)

Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift. - Hui He; Qi Zhang 020; Kun Yi 001; Xiaojun Xue; Shoujin Wang; Liang Hu 004; Longbing Cao (CoRR, 2024)

Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks. - Jiaxing Miao; Liang Hu 004; Qi Zhang 020; Longbing Cao (CoRR, 2024)

Can LLMs Serve As Time Series Anomaly Detectors? - Manqing Dong; Hao Huang; Longbing Cao (CoRR, 2024)

Probing the Robustness of Vision-Language Pretrained Models: A Multimodal Adversarial Attack Approach. - Jiwei Guan; Tianyu Ding; Longbing Cao; Lei Pan 002; Chen Wang 008; Xi Zheng 001 (CoRR, 2024)

Federated Neural Nonparametric Point Processes. - Hui Chen 026; Hengyu Liu 001; Yaqiong Li; Xuhui Fan 001; Zhilin Zhao 001; Feng Zhou 011; Christopher John Quinn; Longbing Cao (CoRR, 2024)

UGotMe: An Embodied System for Affective Human-Robot Interaction. - Peizhen Li; Longbing Cao; Xiao-Ming Wu 002; Xiaohan Yu; Runze Yang (CoRR, 2024)

Marked Temporal Bayesian Flow Point Processes. - Hui Chen 026; Xuhui Fan 001; Hengyu Liu 001; Longbing Cao (CoRR, 2024)

Explicit and Implicit Pattern Relation Analysis for Discovering Actionable Negative Sequences. - Wei Wang 379; Longbing Cao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Deep Multidilation Temporal and Spatial Dependence Modeling in Stereoscopic 3-D EEG for Visual Discomfort Assessment. - Yawen Zheng; Xiaojie Zhao; Li Yao 002; Longbing Cao (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Learning Informative Representation for Fairness-Aware Multivariate Time-Series Forecasting: A Group-Based Perspective. - Hui He; Qi Zhang 020; Shoujin Wang; Kun Yi 001; Zhendong Niu; Longbing Cao (IEEE Trans. Knowl. Data Eng., 2024)

Ai4tech: X-AI enabling X-Tech with human-like, generative, decentralized, humanoid and metaverse AI. - Longbing Cao (Int. J. Data Sci. Anal., 2024)

Weighting non-IID batches for out-of-distribution detection. - Zhi-Lin Zhao 001; Longbing Cao (Mach. Learn., 2024)

Out-of-Distribution Detection by Cross-Class Vicinity Distribution of In-Distribution Data. - Zhi-Lin Zhao 001; Longbing Cao; Kun-Yu Lin (IEEE Trans. Neural Networks Learn. Syst., 2024)

Copula Variational LSTM for High-Dimensional Cross-Market Multivariate Dependence Modeling. - Jia Xu; Longbing Cao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Mixture of Online and Offline Experts for Non-Stationary Time Series. - Zhilin Zhao 001; Longbing Cao; Yuan-Yu Wan (AAAI, 2025)

Dynamic Spectral Graph Anomaly Detection. - Jianbo Zheng; Chao Yang 015; Tairui Zhang; Longbing Cao; Bin Jiang 006; Xuhui Fan 001; Xiao-Ming Wu 002; Xianxun Zhu (AAAI, 2025)

ProgDiffusion: Progressively Self-encoding Diffusion Models. - Zhangkai Wu; Xuhui Fan 001; Longbing Cao (KDD (1), 2025)

Out-of-distribution detection by regaining lost clues. - Zhilin Zhao 001; Longbing Cao; Philip S. Yu (Artif. Intell., 2025)

COVID-19 Modeling: A Review. - Longbing Cao; Qing Liu (ACM Comput. Surv., 2025)

Gray Learning From Non-IID Data With Out-of-Distribution Samples. - Zhi-Lin Zhao 001; Longbing Cao; Chang-Dong Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

TraFlow: Trajectory Distillation on Pre-Trained Rectified Flow. - Zhangkai Wu; Xuhui Fan 001; Hongyu Wu; Longbing Cao (CoRR, 2025)

eVAE: Evolutionary Variational Autoencoder. - Zhangkai Wu; Longbing Cao; Lei Qi 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization. - Hui Chen 026; Xuhui Fan 001; Zhangkai Wu; Longbing Cao (CoRR, 2025)

Distributional Drift Adaptation With Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting. - Hui He; Qi Zhang 020; Kun Yi 001; Kaize Shi; Zhendong Niu; Longbing Cao (IEEE Trans. Neural Networks Learn. Syst., 2025)

X2C: A Dataset Featuring Nuanced Facial Expressions for Realistic Humanoid Imitation. - Peizhen Li; Longbing Cao; Xiao-Ming Wu 002; Runze Yang; Xiaohan Yu (CoRR, 2025)

Kernel PCA for Out-of-Distribution Detection: Non-Linear Kernel Selections and Approximations. - Kun Fang 004; Qinghua Tao; Mingzhen He; Kexin Lv; Runze Yang; Haibo Hu; Xiaolin Huang; Jie Yang 002; Longbing Cao (CoRR, 2025)

Enhancing Text-to-Image Diffusion Transformer via Split-Text Conditioning. - Yu Zhang 133; Jialei Zhou; Xinchen Li; Qi Zhang 020; Zhongwei Wan; Tianyu Wang; Duoqian Miao 001; Changwei Wang 001; Longbing Cao (CoRR, 2025)

PatentScore: Multi-dimensional Evaluation of LLM-Generated Patent Claims. - Yongmin Yoo; Qiongkai Xu; Longbing Cao (CoRR, 2025)

PatentMind: A Multi-Aspect Reasoning Graph for Patent Similarity Evaluation. - Yongmin Yoo; Qiongkai Xu; Longbing Cao (CoRR, 2025)

Enhanced Influence-aware Group Recommendation for Online Media Propagation. - Chengkun He; Xiangmin Zhou; Chen Wang 008; Longbing Cao; Jie Shao 001; Xiaodong Li; Guang Xu; Carrie Jinqiu Hu; Zahir Tari (CoRR, 2025)

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting. - Runze Yang; Longbing Cao; Xin You; Kun Fang 004; Jianxun Li; Jie Yang 002 (CoRR, 2025)

Modeling enzyme temperature stability from sequence segment perspective. - Ziqi Zhang; Shiheng Chen; Runze Yang; Zhisheng Wei; Wei Zhang 221; Lei Wang; Zhanzhi Liu; Fengshan Zhang; Jing Wu 030; Xiaoyong Pan; Hongbin Shen; Longbing Cao; et al. (CoRR, 2025)

CliCARE: Grounding Large Language Models in Clinical Guidelines for Decision Support over Longitudinal Cancer Electronic Health Records. - Dongchen Li; Jitao Liang; Wei Li 117; Xiaoyu Wang; Longbing Cao; Kun Yu 002 (CoRR, 2025)

Trans-AI/DS: transformative, transdisciplinary and translational artificial intelligence and data science. - Longbing Cao (Int. J. Data Sci. Anal., 2025)