Survey and Review Papers

Longbing Cao, Hui Chen, Xuhui Fan, Joao Gama, Yew-Soon Ong, Vipin Kumar: Bayesian Federated Learning: A Survey, IJCAI 2023, 1-10, 2023. BibTeX

Longbing Cao and Qing Liu: COVID-19 Modeling: A Review, ACM Computing Survey, 2024, A full version at arXiv, 1-102, 2021. BibTeX

Longbing Cao. AI in Finance: Challenges, Techniques and Opportunities, ACM Computing Surveys, 55(3):64, 1–38, 2022. BibTeX

Longbing Cao. AI in Finance: A Review, SSRN, 1-35, 2020. BibTeX

Longbing Cao, Qiang Yang, Philip S. Yu: Data science and AI in FinTech: An overview. Int. J. Data Sci. Anal. 12(2): 81-99, 2021. BibTeX

Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu: Graph Learning based Recommender Systems: A Review. IJCAI 2021: 4644-4652. BibTeX

Shoujin Wang, Longbing Cao, Yan Wang, Quan Z. Sheng, Mehmet Orgun, Defu Lian. A Survey on Session-based Recommender Systems, ACM Computing Surveys, 54(7): 154:1-154:38, 2022. BibTeX

Guansong Pang, Chunhua Shen, Longbing Cao and Anton Van Den Hengel. Deep Learning for Anomaly Detection: A Review. ACM Computing Surveys, 54(2), 38: 1-38, 2021. BibTeX

Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Michael Sheng and Mehmet Orgun. Sequential Recommender Systems: Challenges, Progress and Prospects, IJCAI2019. BibTeX

Wei Wang and Longbing Cao. Negative Sequence Analysis: A Review and the Supplementary, ACM Computing Surveys, 52(2): 32:1-32:39 (2019). BibTeX

Longbing Cao. Data Science: A Comprehensive Overview. ACM Computing Surveys, 50(3), 43:1-42, 2017. BibTeX

Opinion Papers on Artificial Intelligence

Longbing Cao. AI4Tech: X-AI Enabling X-Tech with Human-like, Generative, Decentralized, Humanoid and Metaverse AI, 1-20, DOI:10.1007/s41060-024-00615-9, International Journal of Data Science and Analytics, 2024.

Longbing Cao. AI Robots and Humanoid AI: Review, Perspectives and Directions, 1-37, 19 March, 2024.

Longbing Cao. Trans-AI/DS: transformative, transdisciplinary and translational artificial intelligence and data science. Int. J. Data Sci. Anal., 15(2): 119-132, 2023. BibTeX

Longbing Cao. AI and data science for smart emergency, crisis and disaster resilience. Int. J. Data Sci. Anal., 15(3): 231–246, 2023. BibTeX

Longbing Cao. Beyond AutoML: Mindful and Actionable AI and AutoAI With Mind and Action. IEEE Intell. Syst. 37(5): pp. 6-18, 2022. BibTeX

Longbing Cao. Beyond i.i.d.: Non-IID Thinking, Informatics, and Learning. IEEE Intell. Syst. 37(4): pp. 5-17, (2022). BibTeX

Longbing Cao. Decentralized AI: Edge Intelligence and Smart Blockchain, Metaverse, Web3, and DeSci. IEEE Intell. Syst. 37(3): pp. 6-19, (2022). BibTeX

Longbing Cao. AI in Combating the COVID-19 Pandemic. IEEE Intell. Syst. 37(2): pp. 3-13, (2022). BibTeX

Longbing Cao. AI Science and Engineering: A New Field. IEEE Intell. Syst. 37(1): 3-13 (2022). BibTeX

Longbing Cao. A New Age of AI: Features and Futures. IEEE Intell. Syst. 37(1): 25-37 (2022). BibTeX

Opinion Papers on Data Science

Longbing Cao. Data Science: Profession and Education. IEEE Intelligent Systems, 34(5): 35-44, 2019. BibTeX

Longbing Cao. Data Science: Challenges and Directions. Communications of the ACM, Vol. 60(8): 59-68, 2017. BibTeX

Longbing Cao. Data Science: Nature and Pitfalls. IEEE Intelligent Systems, 31(5): 66-75, 2016. BibTeX

Longbing Cao. Data Science and Analytics: A New Era. International Journal of Data Science and Analytics, 1(1): 1-2, 2016. BibTeX

Opinion Papers on Non-IID Learning, Interaction and Coupling Learning

Can Wang, Fosca Giannotti, Longbing Cao. Learning Complex Couplings and Interactions. IEEE Intell. Syst. 36(1): 3-5, 2021. BibTeX

Longbing Cao. Non-IID Recommender Systems: A Review and Framework of Recommendation Paradigm Shifting. Engineering, 2: 212-224, 2016. BibTeX

Longbing Cao. Coupling Learning of Complex Interactions, Journal of Information Processing and Management, 51(2): 167-186 (2015). BibTeX

Longbing Cao. Non-IIDness Learning in Behavioral and Social Data, The Computer Journal, 57(9): 1358-1370 (2014). BibTeX

Opinion Papers on Behavior Informatics and Behavior Computing

Longbing Cao. Health and Medical Behavior Informatics (in Biomedical Information Technology, 2nd Edition, David Dagan Feng (Ed.)), 735-761, Elsevier, 2020. BibTeX

Longbing Cao. Behavior Informatics to Discover Behavior Insight for Active and Tailored Client Management. KDD2017, 2017. BibTeX

Longbing Cao, Philip S. Yu, Vipin Kumar. Nonoccurring Behavior Analytics: A New Area. IEEE Intelligent Systems 30(6): 4-11 (2015). BibTeX

Longbing Cao, et al. Behavior Informatics: A New Perspective. IEEE Intelligent Systems (Trends and Controversies), 29(4): 62-80, 2014. BibTeX

Longbing Cao and Thorsten Joachims. Behavior Computing, IEEE Intelligent Systems, 29(4): 62-66, 2014.

Longbing Cao, In-depth Behavior Understanding and Use: the Behavior Informatics Approach, Information Science, 180(17); 3067-3085, 2010. BibTeX

Longbing Cao, Behavior Informatics and Analytics: Let Behavior Talk, DDDM2008 joint with ICDM2008, 87 – 96. BibTeX

Longbing Cao, Yanchang Zhao, Chengqi Zhang, Huaifeng Zhang. Activity Mining: from Activities to Actions, International Journal of Information Technology & Decision Making, 7(2): 259-273, 2008 BibTeX

Longbing Cao.Activity mining: challenges and prospects. ADMA2006, LNAI4093, 582-593. BibTeX

Opinion Papers on Domain-driven Data Mining, Actionable Knowledge Discovery

Longbing Cao. Combined Mining: Analyzing Object and Pattern Relations for Discovering and Constructing Complex but Actionable Patterns, WIREs Data Mining and Knowledge Discovery, 3(2): 140-155, 2013. BibTeX

Longbing Cao. Actionable Knowledge Discovery and Delivery, WIREs Data Mining and Knowledge Discovery, 2(2): 149-163, 2012. BibTeX

Longbing Cao. Domain-driven data mining: challenges and prospects, IEEE Trans. on Knowledge and Data Engineering, 22(6): 755-769, 2010. BibTeX

Longbing Cao et al. Domain-Driven, Actionable Knowledge Discovery, IEEE Intelligent Systems, 22 (4):78-89, 2007. BibTeX

Longbing Cao, D Luo, C. Zhang. Knowledge Actionability: Satisfying Technical and Business Interestingness, International Journal of Business Intelligence and Data Mining (IJBIDM), 2(4): 496-514, 2007. BibTeX

Longbing Cao, Chengqi Zhang. The evolution of KDD: Towards domain-driven data mining. International Journal of Pattern Recognition and Artificial Intelligence, 21(4): 677-692, 2007. BibTeX

Longbing Cao, Chengqi Zhang. Domain-driven actionable knowledge discovery in the real world, PAKDD2006, LNAI 3918, 821 – 830. BibTeX

Opinion Papers on Agent Mining

Longbing Cao, Gerhard Weiss, Philip S Yu. A Brief Introduction to Agent Mining. Journal of Autonomous Agents and Multi-Agent Systems, 25:419-424, 2012. BibTeX

Longbing Cao. Introduction to Agent Mining Interaction and Integration, In: Cao L. (eds) Data Mining and Multi-agent Integration, 3-36, Springer, 2009. BibTeX

Longbing Cao, Dan Luo, Chengqi Zhang. Ubiquitous Intelligence in Agent Mining. ADMI 2009: 23-35. BibTeX

Longbing Cao, Vladimir Gorodetsky, Pericles A. Mitkas. Agent Mining: The Synergy of Agents and Data Mining, IEEE Intelligent Systems, vol. 24, no. 3, 64-72, May/June 2009. BibTeX

Opinion Papers on Metasynthetic Computing, Intelligence Metasynthesis

Longbing Cao, Ruwei Dai, Mengchu Zhou. Metasynthesis: M-Space, M-Interaction and M-Computing for Open Complex Giant Systems, IEEE Trans. On Systems, Man, and Cybernetics–Part A, 39(5): 1007 – 1021, 2009. BibTeX

Longbing Cao. Metasynthetic Computing for Solving Open Complex Problems, IEEE International Workshop on Engineering Open Complex Systems: Metasynthesis of Computing Paradigms, joint with COMPSAC 2008. BibTeX

Longbing Cao, Chengqi Zhang, Ruwei Dai. Intelligence Metasynthesis in Building Business Intelligence Systems, Web Intelligence Meets Brain Informatics, LNCS4845, 454-470, 2007. BibTeX

 

COVID-19 Modeling

Hu Cao and Longbing Cao. Differentiating behavioral impact with or without vaccination certification under mass vaccination and non-pharmaceutical interventions on mitigating COVID-19. Scientific Reports, 14, 707 (2024). https://doi.org/10.1038/s41598-023-50421-9.

Longbing Cao and Wenfeng Hou. How Have Global Scientists Responded to Tackling COVID-19? Full technical report, pp. 1-125, University of Technology Sydney, 2022. Access the report at medRxiv and its associated COVID-19 global scientist response dataset and results at Kaggle, BibTeX

Longbing Cao. AI in Combating the COVID-19 Pandemic. IEEE Intell. Syst. 37(2): pp. 3-13, (2022). BibTeX

Longbing Cao and Qing Liu. COVID-19 Modeling: A Review, 1-102, 2021. arXiv, BibTeX

Longbing Cao, Qing Liu. How control and relaxation interventions and virus mutations influence the resurgence of COVID-19? 1-29, 2021. medRxiv

Qing Liu and Longbing Cao, Modeling COVID-19 uncertainties evolving over time and density-dependent social reinforcement and asymptomatic infections, Sci Rep, 12(1):5891, 1-14, 2022, PubMed, BibTeX

 

Non-IID Learning (Learning Non-IIDness, Learning from Non-i.i.d. Data), Interaction Learning, Coupling Learning

♦ Download the KDD2017/CIKM2014/PAKDD2014 tutorial slides on Non-IID Learning, Learning from Non-IID Data, this slide has been updated in Aug 2017.

♦ Download the AAAI2018/PAKDD2018 tutorial slides on Non-IID Recommender Systems, this slide has been updated in May 2018.

Zhilin Zhao, Longbing Cao. Weighting non-IID batches for out-of-distribution detection. Machine Learning (2024). https://doi.org/10.1007/s10994-024-06605-z.

Zhilin Zhao, Longbing Cao, Kun-Yu Lin, Out-of-Distribution Detection by Cross-Class Vicinity Distribution of In-Distribution Data, IEEE Trans Neural Netw Learn Syst, 2023.

Zhilin Zhao, Longbing Cao, and Kun-Yu Lin. Supervision Adaptation Balancing In-distribution Generalization and Out-of-distribution Detection, IEEE Transaction on Pattern Recognition and Machine Intelligence, 2023.

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

Zhilin Zhao and Longbing Cao: Dual Representation Learning for Out-of-distribution Detection, Transactions on Machine Learning Research, 1-21, 2023.

Zhilin Zhao, Longbing Cao and Kun-Yu Lin: Out-of-Distribution Detection by Cross-Class Vicinity Distribution of In-Distribution Data, IEEE Trans Neural Netw Learn Syst., 1-11, 2023.

Zhilin Zhao, Longbing Cao and Kun-Yu Lin: Revealing the Distributional Vulnerability of Discriminators by Implicit Generators, IEEE Transaction on Pattern Recognition and Machine Intelligence, 1-13, 2022. BibTeX

Shufeng Hao, Chongyang Shi, Longbing Cao, Zhendong Niu, Ping Guo: Learning deep relevance couplings for ad-hoc document retrieval. Expert Syst. Appl. 183: 115335, 2021. BibTeX

Shameek Ghosh, Jinyan Li, Longbing Cao, Kotagiri Ramamohanarao. Septic shock prediction for ICU patients via coupled HMM walking on sequential contrast patterns. Journal of Biomedical Informatics 66: 19-31 (2017). BibTeX

Xiangfu Meng, Longbing Cao, Xiaoyan Zhang, Jingyu Shao. Top-k coupled keyword recommendation for relational keyword queries. Knowl. Inf. Syst. 50(3): 883-916 (2017). BibTeX

Guansong Pang, Longbing Cao and Ling Chen. Homophily outlier detection in non-IID categorical data, Data Min. Knowl. Discov. 35(4): 1163-1224, 2021. BibTeX

Chengzhang Zhu, Longbing Cao and Jianpin Yin. Unsupervised Heterogeneous Coupling Learning for Categorical Representation. IEEE Transaction on Pattern Recognition and Machine Intelligence, 44(1): 533-549, 2022. BibTeX

Longbing Cao and Philip Yu. Non-IID Recommendation Theories and Systems. IEEE Intelligent Systems, 31(2), 81-84, 2016. BibTeX

Trong Dinh Thac Do and Longbing Cao. Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence, NIPS2018. BibTeX

Yonggang Huang, Yuying Liu, Longbing Cao, Jun Zhang, I Pan. Exploring Feature Coupling and Model Coupling for Image Source Identification, IEEE Transactions on Information Forensics & Security, 13(12): 3108 – 3121, 2018. BibTeX

Trong Dinh Thac Do and Longbing Cao. Metadata-dependent Infinite Poisson Factorization for Efficiently Modelling Sparse and Large Matrices in Recommendation, IJCAI2018. BibTeX

Quangui Zhang, Longbing Cao, Chengzhang Zhu, Zhiqiang Li and Jinguang Sun. CoupledCF: Learning Explicit and Implicit User-item Couplings in Recommendation for Deep Collaborative Filtering, IJCAI2018 BibTeX

Songlei Jian, Guansong Pang, Longbing Cao, Kai Lu and Hang Gao. CURE: Flexible Categorical Data Representation by Hierarchical Coupling Learning. IEEE Transactions on Knowledge and Data Engineering, 31(5): 853-866, 2019. BibTeX

Chengzhang Zhu, Longbing Cao, Qiang Liu, Jianpin Yin and Vipin Kumar. Heterogeneous Metric Learning of Categorical Data with Hierarchical Couplings. IEEE Transactions on Knowledge and Data Engineering, DOI: 10.1109/TKDE.2018.2791525, 2018. BibTeX

Songlei Jian, Longbing Cao, Kai Lu, Hang Gao. Unsupervised Coupled Metric Similarity for Non-IID Categorical Data. IEEE Transactions on Knowledge and Data Engineering, 30(9): 1810 – 1823, 2018. BibTeX

Shufeng Hao, Chongyang Shi, Zhendong Niu, Longbing Cao. Concept Coupling Learning for Improving Concept Lattice-based Document Retrieval. Engineering Applications of Artificial Intelligence, Volume 69, 65-75, 2018. BibTeX

Shoujin Wang, Longbing Cao. Inferring Implicit Rules by Learning Explicit and Hidden Item Dependency. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 50(3): 935-946, 2020. BibTeX

Songlei Jian, Liang Hu, Longbing Cao, and Kai Lu. Metric-based Auto-Instructor for Learning Mixed Data Representation. AAAI2018. BibTeX

Trong Dinh Thac Do, Longbing Cao. Coupled Poisson Factorization Integrated with User/Item Metadata for Modeling Popular and Sparse Ratings in Scalable Recommendation. AAAI2018. BibTeX

Guansong Pang, Longbing Cao, Ling Chen, Defu Lian and Huan Liu. Sparse Modeling-based Sequential Ensemble Learning for Effective Outlier Detection in High-dimensional Numeric Data. AAAI2018. BibTeX

Guansong Pang, Hongzuo Xu, Longbing Cao and Wentao Zhao. Selective Value Coupling Learning for Detecting Outliers in High-Dimensional Categorical Data. CIKM2017. BibTeX

Guansong Pang, Longbing Cao, Ling Cheny and Huan Liu. Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection. IJCAI2017. BibTeX

Songlei Jian, Longbing Cao, Guansong Pang, Kai Lu, Hang Gao. Embedding-based Representation of Categorical Data by Hierarchical Value Coupling Learning. IJCAI2017. BibTeX

Yinghuan Shi, Wenbin Li, Yang Gao, Longbing Cao, Dinggang Shen. Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks. AAAI2017. BibTeX

Xuhui Fan; Richard Yi Da Xu; Longbing Cao, Yin Song. Learning Nonparametric Relational Models by Conjugately Incorporating Node Information in a Network, IEEE Transactions on Cybernetics, 47(3): 589 – 599, 2016. BibTeX

Guansong Pang, Longbing Cao, Ling Chen. Outlier Detection in Complex Categorical Data by Modelling the Feature Value Couplings. IJCAI2016: 1902-1908. BibTeX

Guansong Pang, Longbing Cao, Ling Chen, Huan Liu. Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature Couplings. ICDM2016. BibTeX

Xuhui Fan, Richard Xu, Longbing Cao. Copula Mixed-Membership Stochastic Blockmodel. IJCAI2016. BibTeX

Qianqian Chen, Liang Hu, Jia Xu, Wei Liu, Longbing Cao. Document similarity analysis via involving both explicit and implicit semantic couplings. DSAA’2015: 1-10, Research Track. BibTeX

Fan, Xuhui; Longbing Cao, Xu, Richard Yi Da. Dynamic Infinite Mixed-Membership Stochastic Blockmodel, IEEE Transactions on Neural Networks and Learning Systems, 26(9): 2072-2085 (2015). BibTeX

Wei Cao, Liang Hu, Longbing Cao. Deep Modeling Complex Couplings within Financial Markets, AAAI2015, 2518-2524. BibTeX

Chunming Liu, Longbing Cao. A Coupled k-Nearest Neighbor Algorithm for Multi-label Classification, PAKDD2015, 176-187. BibTeX

Fangfang Li, Guandong Xu, Longbing Cao. Coupled Matrix Factorization within Non-IID Context, PAKDD2015, 707-719. BibTeX

Xiangfu Meng, Longbing Cao and Jingyu Shao. Semantic Approximate Keyword Query Based on Keyword and Query Coupling Relationship Analysis. CIKM 2014: 529-538. BibTeX

Zhe Xu, Ya Zhang, Longbing Cao. Social Image Analysis from a Non-IID Perspective, IEEE Transactions on Multimedia, 16(7): 1986-1998 (2014). BibTeX

Chunming Liu, Longbing Cao, Philip S Yu. A Hybrid Coupled k-Nearest Neighbor Algorithm on Imbalance Data, IJCNN 2014. BibTeX

Chunming Liu, Longbing Cao, Philip S Yu. Coupled Fuzzy k-Nearest Neighbors Classification of Imbalanced Non-IID Categorical Data, IJCNN 2014. BibTeX

Can Wang, Dong, Xiangjun; Zhou, Fei; Longbing Cao, Chi, Chi-Hung. Coupled Attribute Similarity Learning on Categorical Data (extension of the CIKM2011 paper), IEEE Transactions on Neural Networks and Learning Systems, 26(4): 781-797 (2015). BibTeX

Fangfang Li, Guandong Xu, Longbing Cao, Zhendong Niu. Coupled Group-based Matrix Factorization for Recommender System, WISE 2013. BibTeX

Can Wang, Zhong She, Longbing Cao. Coupled Attribute Analysis on Numerical Data, IJCAI 2013. BibTeX

Can Wang, Zhong She, Longbing Cao. Coupled Clustering Ensemble: Incorporating Coupling Relationships Both between Base Clusterings and Objects, ICDE2013. BibTeX

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

Xin Cheng, Duoqian Miao, Can Wang, Longbing Cao. Coupled Term-Term Relation Analysis for Document Clustering, IJCNN2013. BibTeX

Wei Cao, Longbing Cao, Yin Song. Coupled Market Behavior Based Financial Crisis Detection, IJCNN2013. BibTeX

Yonghong Yu, Can Wang, Yang Gao, Longbing Cao, Jingguang Sun.A Coupled Clustering Approach for Items Recommendation, PAKDD 2013. BibTeX

Yin Song, Longbing Cao, et al. Coupled Behavior Analysis for Capturing Coupling Relationships in Group-based Market Manipulation, KDD 2012, 976-984. BibTeX

Yin Song and Longbing Cao. Graph-based Coupled Behavior Analysis: A Case Study on Detecting Collaborative Manipulations in Stock Markets, IJCNN 2012, 1-8. BibTeX

Longbing Cao, Yuming Ou, Philip S Yu. Coupled Behavior Analysis with Applications, IEEE Trans. on Knowledge and Data Engineering, 24(8): 1378-1392 (2012). BibTeX

Can Wang, and Longbing Cao.Modeling and Analysis of Social Activity Process, in Longbing Cao and Philip S Yu (eds) Behavior Computing, 21-35, Springer, 2012. BibTeX

Can Wang, Mingchun Wang, Zhong She, Longbing Cao. CD: A Coupled Discretization Algorithm, PAKDD2012, 407-418 BibTeX

Longbing Cao, Huaifeng Zhang, Yanchang Zhao, Dan Luo, Chengqi Zhang. Combined Mining: Discovering Informative Knowledge in Complex Data, IEEE Trans. SMC Part B, 41(3): 699 – 712, 2011. BibTeX

Can Wang, Longbing Cao, Minchun Wang, Jinjiu Li, Wei Wei, Yuming Ou. Coupled Nominal Similarity in Unsupervised Learning, CIKM 2011, 973-978. BibTeX

Longbing Cao, Yuming Ou, Philip S YU, Gang Wei. Detecting Abnormal Coupled Sequences and Sequence Changes in Group-based Manipulative Trading Behaviors, KDD2010, 85-94. BibTeX

Yanchang Zhao, Huaifeng Zhang, Longbing Cao, Chengqi Zhang. Combined Pattern Mining: from Learned Rules to Actionable Knowledge, LNCS 5360/2008, 393-403, 2008. BibTeX

Huaifeng Zhang, Yanchang Zhao, Longbing Cao and Chengqi Zhang. Combined Association Rule Mining, PAKDD2008. BibTeX

Yanchang Zhao, Huaifeng Zhang, Fernando Figueiredo, Longbing Cao Chengqi Zhang, Combined Association Rule Mining, Proc. of 2007 ACM SIGKDD Workshop on Domain Driven Data Mining (DDDM 07), 2007, pp. 18-23.

 

Machine Learning, Data Mining, NLP, Recommender Systems, Outlier Detection, Evolutionary Computing

An Lao, Qi Zhang, Chongyang Shi, Longbing Cao, Kun Yi, Liang Hu, Duoqian Miao: Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector. AAAI 2024: 18426-18434

Hui He, Qi Zhang, Shoujin Wang, Kun Yi, Zhendong Niu, Longbing Cao: Learning Informative Representation for Fairness-Aware Multivariate Time-Series Forecasting: A Group-Based Perspective. IEEE Trans. Knowl. Data Eng. 36(6): 2504-2516 (2024)

Yawen Zheng, Xiaojie Zhao, Li Yao, Longbing Cao: Deep Multidilation Temporal and Spatial Dependence Modeling in Stereoscopic 3-D EEG for Visual Discomfort Assessment. IEEE Trans. Syst. Man Cybern. Syst. 54(4): 2125-2136 (2024)

Zhangkai Wu, Longbing Cao and Lei Qi. eVAE: Evolutionary variational autoencoder, IEEE Trans Neural Netw Learn Syst, 2024.

An Lao, Qi Zhang, Chongyang Shi, Longbing Cao, Kun Yi, Liang Hu, Duoqian Miao. Frequency Spectrum is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector. AAAI 2024.

Hui He, Qi Zhang, Shoujin Wang, Kun Yi, Zhendong Niu, and Longbing Cao. Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective, IEEE Transactions on Knowledge and Data Engineering, 2023.

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

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

Jia Xu and Longbing Cao: Copula Variational LSTM for High-Dimensional Cross-Market Multivariate Dependence Modeling, IEEE Trans Neural Netw Learn Syst., 1-15, 2023.

Yang Yang, Zhilin Zhao, Longbing Cao. Deep Spectral Copula Mechanisms Modeling Coupled and Volatile Multivariate Time Series, DSAA 2023

Yang Yang, Longbing Cao. MTSNet: Deep Probabilistic Cross-Multivariate Time Series Modeling with External Factors for COVID-19. IJCNN 2023. BibTeX

Qinfen Wang, Geng Chen, Xuting Jin, Siyuan Ren, Gang Wang, Longbing Cao, Yong Xia:
BiT-MAC: Mortality prediction by bidirectional time and multi-feature attention coupled network on multivariate irregular time series. Comput. Biol. Medicine 155: 106586, 2023. BibTeX

Jinjin Guo, Longbing Cao, Zhiguo Gong: Recurrent Coupled Topic Modeling over Sequential Documents. ACM Trans. Knowl. Discov. Data 16(1): 8:1-8:32, 2022. BibTeX

Longbing Cao, Chengzhang Zhu. Personalized next-best action recommendation with multi-party interaction learning for automated decision-making, PLoS ONE, 17(1): e0263010, 2022. BibTeX

Qinfen Wang, Siyuan Ren, Yong Xia, Longbing Cao: BiCMTS: Bidirectional Coupled Multivariate Learning of Irregular Time Series with Missing Values. CIKM 2021: 3493-3497. BibTeX

Longbing Cao, Chengzhang Zhu. Table2Vec-automated universal representation learning of enterprise data DNA for benchmarkable and explainable enterprise data science, Scientific Reports, 11, 23957, 2021. BibTeX

Tianfu Zhang, Heyan Huang, Chong Feng, Longbing Cao: Enlivening Redundant Heads in Multi-head Self-attention for Machine Translation. EMNLP (1) 2021: 3238-3248. BibTeX

Guansong Pang, Anton van den Hengel, Chunhua Shen, Longbing Cao: Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data. KDD 2021: 1298-1308. BibTeX

Shoujin Wang, Longbing Cao, Liang Hu, Shlomo Berkovsky, Xiaoshui Huang, Lin Xiao, Wenpeng Lu: Hierarchical Attentive Transaction Embedding With Intra- and Inter-Transaction Dependencies for Next-Item Recommendation. IEEE Intell. Syst. 36(4): 56-64, 2021. BibTeX

Qi Zhang, Longbing Cao, Chongyang Shi and Liang Hu. Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data, Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data. AAAI’2021: 4671-4678. BibTeX

Tianfu Zhang, Heyan Huang, Chong Feng and Longbing Cao. Self-supervised Bilingual Syntactic Alignment for Neural Machine Translation. AAAI 2021: 14454-14462. BibTeX

Chengzhang Zhu, Qi Zhang, Longbing Cao and Arman Abrahamyan. Mix2Vec: Unsupervised Mixed Data Representation, DSAA’2020: 118-127, Research Track, 2020. BibTeX

Guansong Pang, and Longbing Cao. Heterogeneous Univariate Outlier Ensembles in Multidimensional Data, ACM Transactions on Knowledge Discovery from Data, 14(6): 1-27, 2020. BibTeX

Qing Liu, Trong Dinh Thac Do and Longbing Cao. Answer Keyword Generation for Community Question Answering by Multiaspect Gamma-Poisson Matrix Completion, IEEE Intelligent Systems, 36(4):35 – 47, 2021. BibTeX

Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet Orgun, Longbing Cao. Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket Planning, IJCAI2020. BibTeX

Songlei Jian, Liang Hu, Longbing Cao and Kai Lu. Representation Learning with Multiple Lipschitz-constrained Alignments on Partially-labeled Cross-domain Data, AAAI2020. BibTeX

Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet Orgun and Longbing Cao. Intention Nets: Psychology-inspired User Choice Behavior Modeling for Next-basket Prediction, AAAI2020. BibTeX

Shufeng Hao, Chongyang Shi, Zhendong Niu, Longbing Cao. Modeling positive and negative feedback for improving document retrieval, Expert Syst. Appl. 120: 253-261 (2019). BibTeX

Shoujin Wang, Yan Wang, Liang Hu, Michael Sheng and Mehmet Orgun, Longbing Cao. Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks, IJCAI2019. BibTeX

Songlei Jian, Liang Hu, Longbing Cao, Kai Lu, Hang Gao. Evolutionarily Learning Multi-aspect Interactions and Influences from Network Structure and Node Content, AAAI2019. BibTeX

Peng Xu, Zhaohong Deng, Kup-Sze Choi, Longbing Cao, Shitong Wang. Multi-view Information-theoretic Co-clustering for Co-occurrence Data, AAAI2019. BibTeX

Liang Hu, Songlei Jian, Longbing Cao, Zhiping Gu, Qingkui Chen, Artak Amirbekyan. HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-start Recommendation, AAAI2019. BibTeX

Yi Ouyang, Bin Guo, Tong Guo, Longbing Cao, and Zhiwen Yu. Modeling and Forecasting the Popularity Evolution of Mobile Apps: A Multivariate Hawkes Process Approach, UbiComp2018. BibTeX

Xingyu Chen, Fanghui Liu, Enmei Tu, Longbing Cao, and Jie Yang. Deep-PUMR: Deep Positive and Unlabeled Learning with Manifold Regularization, ICONIP2018. BibTeX

Guansong Pang, Longbing Cao, Ling Chen and Huan Liu. Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection, KDD2018. BibTeX

Defu Lian, Kai Zheng, Vincent W. Zheng, Yong Ge, Longbing Cao, Ivor W. Tsang, and Xing Xie. High-order Proximity Preserving Information Network Hashing, KDD2018. BibTeX

Liang Hu, Songlei Jian, Longbing Cao, Qingkui Chen. Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents, IJCAI2018. BibTeX

Qi Zhang, Chongyang Shi, Zhendong Niu, and Longbing Cao. HCBC: A Hierarchical Case-Based Classifier Integrated with Conceptual Clustering. IEEE Transactions on Knowledge and Data Engineering, 31(1): 152-165 (2019) BibTeX

Zhaohong Deng, Junyong Chen, Te Zhang, Longbing Cao, Shitong Wang. Generalized Hidden-Mapping Minimax Probability Machine for the Training and Reliability Learning of Several Classical Intelligent Models. Information Sciences, 436-437: 302-319, 2018. BibTeX

Defu Lian, Kai Zheng, Yong Ge, Longbing Cao, Enhong Chen and Xing Xie. GeoMF++: Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization. ACM Transactions on Information Systems, ACM Trans. Inf. Syst. 36(3): 33:1-33:29 (2018). BibTeX

Shoujin Wang, Liang Hu, Longbing Cao, Xiaoshui Huang, Defu Lian and Wei Liu. Attention-based Transactional Context Embedding for Next-Item Recommendation. AAAI2018. BibTeX

Lizhen Wang, Xuguang Bao, Hongmei Chen, Longbing Cao. Effective Lossless Condensed Representation and Discovery of Spatial Co-location Patterns. Information Sciences, 436-437: 197-213, 2018. BibTeX

Lizhen Wang, Xuguang Bao, Longbing Cao. Interactive Probabilistic Post-mining of User-preferred Spatial Co-location Patterns. ICDE2018. BibTeX

Defu Lian, Rui Liu, Yong Ge, Kai Zheng, Xing Xie and Longbing Cao. Discrete Content-aware Matrix Factorization. KDD2017. BibTeX

Shoujin Wang, Liang Hu, Longbing Cao. Perceiving the Next Choice with Comprehensive Transaction Embeddings for Online Recommendation. ECML/PKDD (2): 285-302, 2017. BibTeX

Xiangmin Zhou, Lei Chen, Yanchun Zhang, Dong Qin, Longbing Cao, Guangyan Huang, Chen Wang: Enhancing online video recommendation using social user interactions. VLDB J. 26(5): 637-656 (2017). BibTeX

Liang Hu, Longbing Cao, Guandong Xu, Jian Cao, Zhiping Gu, Shoujin Wang. Diversifying Personalized Recommendation with User-session Context. IJCAI2017. BibTeX

Liang Hu, Longbing Cao, Jian Cao, Zhipeng Gu, Guandong Xu, Jie Wang. Improving the Quality of Recommendations for Users and Items in the Tail of Distribution. ACM Trans. Info Sys., 2017. BibTeX

Liang Hu, Longbing Cao, Jian Cao, Zhipeng Gu, Guandong Xu, Dingyu Yang. Learning Informative Priors from Heterogeneous Domains to Improve Recommendation in Cold-Start User Domains. ACM Trans. Info Sys., 35(2):13, 1-37, 2016. BibTeX

Tingting Zhai, Yang Gao, Hao Wang, Longbing Cao. Classification of high-dimensional evolving data streams via a resource-efficient online ensemble. Data Mining and Knowledge Discovery, (2017). BibTeX

Bo Liu, Yanshan Xiao, Longbing Cao. SVM-based multi-state-mapping approach for multi-class classification. Knowl.-Based Syst. 129: 79-96 (2017). BibTeX

Feng Xia, Haifeng Liu, Ivan Lee, Longbing Cao. Scientific Article Recommendation: Exploiting Common Author Relations and Historical Preferences. IEEE Trans. Big Data 2(2): 101-112 (2016). BibTeX

Karnam Dileep Kumar, Polepalli Krishna Reddy, Pailla Balakrishna Reddy, Longbing Cao. Improving the Performance of Collaborative Filtering with Category-Specific Neighborhood, ACIIDS (2) 2016: 201-210. BibTeX

Shoujin Wang, Wei Liu, Jia Wu, Longbing Cao, Qinxue Meng, Paul J. Kennedy. Training deep neural networks on imbalanced data sets, IJCNN 2016: 4368-4374. BibTeX

Xuhui Fan; Longbing Cao. A Convergence Theorem for Graph Shift-type Algorithms, Pattern Recognition, 48(8): 2751-2760 (2015). BibTeX

Xiangmin Zhou, Lei Chen, Yanchun Zhang, Longbing Cao, Guangyan Huang, Chen Wang: Online Video Recommendation in Sharing Community. SIGMOD Conference 2015: 1645-1656. BibTeX

Liu W., Deng ZH, Cao L, Xu X, Liu H, Gong X. Mining Top K Spread Sources for a Specific Topic and a Given Node, IEEE T. Cybernetics 45(11): 2472-2483 (2015). BibTeX

Bin Fu, Guandong Xu; Longbing Cao, Zhihai Wang, and Zhiang Wu. Coupling Multiple Views of Relations for Recommendation, PAKDD2015, 732-743. BibTeX

Yang, Wanqi; Gao, Yang; Shi, Yinghuan; Longbing Cao. MRM-Lasso: A Sparse Multi-View Feature Selection Method via Low-Rank Analysis, IEEE Transactions on Neural Networks and Learning Systems,26(11): 2801-2815 (2015). BibTeX

Liang Hu, Longbing Cao, Guandong Xu, Jian Cao, and Wei Cao. Bayesian Heteroskedastic Choice Modeling on Non-identically Distributed Linkages, ICDM2014. BibTeX

Enmei Tu, Longbing Cao, Jie Yang, Nikola Kasabov. A novel graph-based k-means for nonlinear manifold clustering and representative selection, Neurocomputing 143: 109-122 (2014). BibTeX

Liang Hu, Jian Cao, Guandong Xu, Longbing Cao, Zhiping Gu and Wei Cao. Deep Modeling of Group Preferences for Group-based Recommendation, AAAI 2014, 1861-1867. BibTeX

Zhaohong Deng, Shitong Wang, Longbing Cao. Minimax Probability TSK Fuzzy System Classifier: A More Transparent and Highly Interpretable Classification Model, IEEE Transactions on Fuzzy Systems, 23(4): 813-826 (2015). BibTeX

Zhaohong Deng, Yizhang Jiang, Longbing Cao, Shitong Wang. Knowledge-Leverage Based TSK Fuzzy System with Improved Knowledge Transfer, FUZZ-IEEE, 2014. BibTeX

Yanshan Xiao, Bo Liu, Zhifeng Hao, Longbing Cao. A K-Farthest-Neighbor-based approach for support vector data description. Appl. Intell. 41(1): 196-211 (2014). BibTeX

Bo Liu, Yanshan Xiao, Philip S. Yu, Zhifeng Hao, Longbing Cao.An efficient orientation distance-based discriminative feature extraction method for multi-classification. Knowl. Inf. Syst. 39(2): 409-433 (2014). BibTeX

Cheng Wang, Tiejun Tong, Longbing Cao, Baiqi Miao. Non-parametric shrinkage mean estimation for quadratic loss functions with unknown covariance matrices. J. Multivariate Analysis 125: 222-232 (2014). BibTeX

Bin Fu, Zhihai Wang, Guandong Xu, Longbing Cao. Multi-label learning based on iterative label propagation over graph. Pattern Recognition Letters 42: 85-90 (2014). BibTeX

Bo Liu, Yanshan Xiao, Philip S. Yu, Zhifeng Hao, Longbing Cao. An Efficient Approach for Outlier Detection with Imperfect Data Labels. IEEE Trans. Knowl. Data Eng. 26(7): 1602-1616 (2014). BibTeX

Zhaohong Deng, Kup-Sze Choi, Longbing Cao, Shitong Wang. T2FELA: Type-2 Fuzzy Extreme Learning Algorithm for Fast Training of Interval Type-2 TSK Fuzzy Logic System, IEEE Transactions on Neural Networks and Learning Systems, 25:4664-676, 2014. BibTeX

Hui-Dong Liu, Ming Yang ; Hui-Dong Liu ; Yang Gao, Longbing Cao. Fast Local Histogram Specification, IEEE Transactions on Circuits and Systems for Video Technology, 2014. BibTeX

Bin Fu, Guandong Xu, Zhihai Wang, Longbing Cao. Leveraging Supervised Label Dependency Propagation for Multi-label Learning. ICDM2013, 1061 – 1066, 2013. BibTeX

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

Frank Jiang; Daoyi Dong; Longbing Cao, Michael R. Frater. Agent-Based Self-Adaptable Context-Aware Network Vulnerability Assessment, IEEE Transactions on Network and Service Management, 10(3):255-270, 2013. BibTeX

Cheng Wang, Longbing Cao, Baiqi Miao. Optimal Deature Selection for Sparse Linear Discriminant Analysis and Its Applications in Gene Expression Data, Computational Statistics and Data Analysis, 66: 140-149 (2013). BibTeX

Cheng Wang, Jing Yang, Baiqi Miao, Longbing Cao. Identity tests for high dimensional data using RMT., J. Multivariate Analysis 118: 128-137 (2013). BibTeX

Jian Zhou, Longbing Cao, Nan Yang. On the Convergence of Some Possibilistic Clustering Algorithms, Fuzzy Optimization and Decision Making, 2013, Vol.12(4), pp.415-432. BibTeX

Yanshan Xiao, Bo Liu, Zhifeng Hao, Longbing Cao. A Similarity-Based Classification Framework For Multiple-Instance Learning, IEEE Transactions on Cybernetics, 44(4): 500-515 (2014). BibTeX

Wei Li, Longbing Cao, Dazhe Zhao. CRNN: Integrating classification rules into neural network, IJCNN 2013. BibTeX

Wei Li, Dazhe Zhao; Jinzhu Yang; Longbing Cao. An approach of hierarchical concept clustering on Medical Short Text corpus, 2013 6th International Conference on Biomedical Engineering and Informatics, 2013. BibTeX

Yin Song, Longbing Cao, Yin Junfu and Wang Cheng. Extracting Discriminative Features for Identifying Abnormal Sequences in One-class Mode, IJCNN 2013. BibTeX

Liang Hu, Jian Cao, Guandong Xu, Jie Wang, Zhiping Gu, Longbing Cao. Cross-Domain Collaborative Filtering via Bilinear Multilevel Analysis, IJCAI2013. BibTeX

Liang Hu, Jian Cao, Guandong Xu, Longbing Cao, Zhiping Gu, Can Zhu. Personalized recommendation via cross-domain triadic factorization, WWW 2013. BibTeX

Bo Liu, Yanshan Xiao, Philip S Yu, Longbing Cao. Uncertain One-Class Learning and Concept Summarization Learning on Uncertain Data Streams, IEEE Trans. on Knowledge and Data Engineering, 26(2): 468-484 (2014). BibTeX

Lin Zhu, Longbing Cao, Jie Yang. Evolving Soft Subspace Clustering, Applied Soft Computing, 14: 210-228 (2014). BibTeX

Bo Liu, Yanshan Xiao, Philip S Yu, Longbing Cao.Robust Textual Data Streams Mining Based on Continuous Transfer Learning, SDM 2013. BibTeX

Anna Fariha, Chowdhury Ahmed, Carson Kai-Sang Leung, S M Abdullah, Longbing Cao. Mining Frequent Patterns from Human Interactions in Meetings using Directed Acyclic Graphs, PAKDD 2013. BibTeX

Xuhui Fan, Lin Zhu, Longbing Cao. Maximum Margin Clustering on Evolutionary Data, CIKM 2012. BibTeX

Junfu Yin, Zhigang Zheng, Longbing Cao. USpan: An Efficient Algorithm for Mining High Utility Sequential Patterns, KDD 2012, 660-668. BibTeX

Bo Liu, Yanshan Xiao, Longbing Cao. SVDD-Based Outlier Detection on Uncertain Data, Knowledge and Information Systems, 34: 597–618, 2013. BibTeX

Longbing Cao. Social Security and Social Welfare Data Mining: An Overview, IEEE Trans. SMC Part C, 42(6): 837-853 (2012). BibTeX

Zhenhua Li, Ying He, Longbing Cao, Limsoon Wong, and Jinyan Li. Conservation of water molecules in protein binding interfaces, Int. J. Bioinformatics Research and Applications, 8(3-4):228-44, 2012. BibTeX

Xuhui Fan, and Longbing Cao. A Theoretical Framework of the Graph Shift Algorithm, AAAI2012 (poster) BibTeX

Lin Zhu, Longbing Cao and Jie Yang. Multiobjective Evolutionary Algorithm-Based Soft Subspace Clustering, CEC2012, 1-8 BibTeX

Tao Yang, Vojislav Kecman, Longbing Cao, Chengqi Zhang. Margin-based Ensemble Classifier for Protein Fold Recognition, Expert Systems with Applications, 38(10):12348-12355, 2011. BibTeX

Yanshan Xiao, bo liu, Jie Yin,Longbing Cao, Chengqi Zhang. Similarity-Based Approach for Positive and Unlabeled Learning, IJCAI 2011, 1577-1582. BibTeX

Lin Zhu,Longbing Cao, Jie Yang. Soft Subspace Clustering with Competitive Agglomeration, FUZZ-IEEE 2011, 691-698. BibTeX

Bo Liu, Yanshan Xiao, Longbing Cao, Philip S Yu. One-Class-Based Uncertain Data Stream Learning, SDM2011, 2011:992-1003. BibTeX

Longbing Cao, Yanchang Zhao, Huaifeng Zhang, Dan Luo, Chengqi Zhang. Flexible Frameworks for Actionable Knowledge Discovery, IEEE Trans. on Knowledge and Data Engineering, 22(9): 1299-1312, 2010. BibTeX

Tao Yang, Vojislav Kecman, Longbing Cao. Classification by ALH-Fast Algorithm, Tsinghua Science and Technology, 15(3): pp275-280, 2010.

Bo Liu, Jie Yin, Yanshan Xiao, Longbing Cao, Philip S Yu. Exploiting Local Data Uncertainty to Boost Global Outlier Detection, ICDM2010. BibTeX

Yanshan Xiao, Bo Liu, Longbing Cao, Jie Yin, and Xindong Wu. SMILE: A Similarity-Based Approach for Multiple Instance Learning, ICDM2010. BibTeX

Bo Liu, Yanshan Xiao, Longbing Cao, Philip S Yu. Orientation Distance-based Discriminative Feature Extraction for Multi-Class Classification, CIKM2010. BibTeX

Yanshan Xiao, Bo Liu, Longbing Cao. K-Farthest-Neighbors-Based Concept Boundary Determination for Support Vector Data Description, CIKM2010. BibTeX

Tao Yang, Vojislav Kecman, Longbing Cao, Chengqi Zhang. Testing Adaptive Local Hyperplane for Multi-class Classification by Double Cross-Validation, WCCI2010. BibTeX

Tao Yang, Longbing Cao, Chengqi Zhang. A Novel Prototype Reduction Method for the K-Nearest Neighbor Algorithm with K>=1, Best Paper Runner up Award, PAKDD2010, 89-100.

Tao Yang, Vojislav Kecman, Longbing Cao, Chengqi Zhang. Combining Support Vector Machines and the t-Statistic for Gene Selection in DNA Microarray Data Analysis, PAKDD2010, 55-62. BibTeX

Huaifeng Zhang, Yanchang Zhao, Longbing Cao, Chengqi Zhang and Hans Bohlscheid. Rare Class Association Rule Mining with Multiple Imbalanced Attributes, Rare Association Rule Mining and Knowledge Discovery: Technologies for Infrequent and Critical Event Detection, Information Science Reference, 2009.

Tich Phuoc Tran, Longbing Cao, Dat Tran, Cuong Duc Nguyen. Novel Intrusion Detection using Probabilistic Neural Network and Adaptive Boosting, 2009. BibTeX

Gang Zhao, Yun Xiong, Longbing Cao, Dan Luo, Xuchun Su, Yangyong Zhu. A Cost-Effective LSH Filter for Fast Pairwise Mining, ICDM 2009: 1088-1093. BibTeX

Yanshan Xiao, Bo Liu, Longbing Cao, Xindong Wu, Chengqi Zhang, Zhifeng Hao, Fengzhao Yang, Jie Cao. Multi-sphere Support Vector Data Description for Outliers Detection on Multi-distribution Data, ICDM Workshops on Domain Driven Data Mining 2009: 82-87. BibTeX

Yanchang Zhao, Longbing Cao, Huaifeng Zhang, Chengqi Zhang. Data Clustering, Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends, Information Science Reference, pp. 562-572, 2009.

Yanchang Zhao, Huaifeng Zhang, Longbing Cao, Hans Bohlscheid, Yuming Ou, Chengqi Zhang. Data Mining Applications in Social Security, Data Mining for Business Applications, Springer, pp. 81-96, 2009.

Li Lin, Longbing Cao. Mining In-Depth Patterns in Stock Market, Int. J. Intelligent System Technologies and Applications, Vol.4, Nos.3/4, pp225-238, 2008. BibTeX

Longbing Cao, Chengqi Zhang. Domain-Driven Data Mining: A Practical Methodology, International Journal of Data Warehousing and Mining, 2(4): 49-65, 2006. BibTeX

Bo Liu, Longbing Cao Philip S. Yu, and Chengqi Zhang. Multi-Space-Mapped SVMs for Multi-Class Classification, ICDM2008. BibTeX

Huaifeng Zhang, Yanchang Zhao, Longbing Cao, Chengqi Zhang. Class Association Rule Mining with Multiple Imbalanced Attributes, AI2007, LNCS4830, 827-831, 2007. BibTeX

Longbing Cao, Dan Luo, Chengqi Zhang. Fuzzy Genetic Algorithms for Pairs Mining, PRICAI2006, LNAI 4099, pp. 711-720, 2006. BibTeX

Yanchang Zhao, Longbing Cao, Yvonne Morrow, Yuming Ou, Jiarui Ni, and Chengqi Zhang. Discovering Debtor Patterns of Centrelink Customers. AusDM2006. BibTeX

Longbing Cao, Jiarui Ni, Dan Luo. Ontological Engineering in Data Warehousing. ApWeb2006, Springer LNCS 3841, pp923-929, 2006. BibTeX

Longbing Cao,Chao Luo, Dan Luo, and Chengqi Zhang. Integration of Business Intelligence Based on Three-Level Ontology Services. proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence(WI’04),IEEE Computer Society Press,pp17-23. BibTeX

 

Behavior Informatics (Behavior Computing, Behavior Analytics) and Social Informatics

♦ Download the IJCAI2013/PAKDD2015/KDD2018/AAAI2019 tutorial slides about Behavior Analytics, Behavior Informatics, and Behavior Computing here, updated in Jan 2019.

♦ Download the slides about Overview of Behavior Informatics research here

Wei Wang and Longbing Cao. Explicit and Implicit Pattern Relation Analysis for Discovering Actionable Negative Sequences, IEEE Trans Neural Netw Learn Syst., 35(4): 5183-5197 (2024)

Ping Qiu, Yongshun Gong, Yuhai Zhao, Longbing Cao, Chengqi Zhang, Xiangjun Dong. An Efficient Method for Modeling Non-occurring Behaviors by Negative Sequential Patterns with Loose Constraints, IEEE Transactions on Neural Networks and Learning Systems, 2021

Wei Wang and Longbing Cao. Interactive Sequential Basket Recommendation by Learning Basket Couplings and Positive/Negative Feedback, ACM Transactions on Information Systems, 39(3): 1-26, 2021. BibTeX

Wei Wang and Longbing Cao. VM-NSP: Vertical Negative Sequential Pattern Mining with Loose Negative Element Constraints, ACM Transactions on Information Systems, 39(2): 1-27, 2021. BibTeX

Xiangjun Dong, Yongshun Gong, Longbing Cao. e-RNSP: An Efficient Method for Mining Repetition Negative Sequential Patterns, IEEE Trans. Cybern. 50(5): 2084-2096, 2020. BibTeX

Xiangjun Dong, Ping Qiu, Jinhu Lü, Longbing Cao, Tiantian Xu. Mining Top-k Useful Negative Sequential Patterns via Learning, IEEE Trans. Neural Netw. Learning Syst. 30(9): 2764-2778 (2019). BibTeX

Xiangjun Dong, Yongshun Gong and Longbing Cao. F-NSP+: A fast negative sequential patterns mining method with self-adaptive data storage, Pattern Recognition, 84:13-27, 2018. BibTeX

Longbing Cao, Xiangjun Dong and Zhigang Zheng. e-NSP: Efficient Negative Sequential Pattern Mining, Artificial Intelligence, 235: 156-182, 2016. Download e-NSP codes and example; Download NegSeq codes and example BibTeX

Zhigang Zheng, Wei Wei, Chunming Liu, Wei Cao, Longbing Cao, Maninder Bhatia. An effective contrast sequential pattern mining approach to taxpayer behavior analysis, World Wide Web 19(4): 633-651 (2016). BibTeX

Bin Shen, Longbing Cao, Min Yao, Yunjun Gao. Mining preferred navigation patterns by consolidating both selection and time preferences, World Wide Web 19(5): 979-1007 (2016). BibTeX

Anna Fariha, Chowdhury Farhan Ahmed, Carson K. Leung, Md. Samiullah, Suraiya Pervin, Longbing Cao. A new framework for mining frequent interaction patterns from meeting databases, Eng. Appl. of AI 45: 103-118 (2015). BibTeX

Philippe Fournier-Viger, Cheng-Wei Wu, Vincent S. Tseng, Longbing Cao, Roger Nkambou. Mining Partially-Ordered Sequential Rules Common to Multiple Sequences, IEEE Trans. Knowledge and Data Engineering, 27(8): 2203-2216 (2015). BibTeX

Fangfang Li, Guandong Xu, Longbing Cao. Two-level matrix factorization for recommender systems, Neural Computing and Applications 27(8): 2267-2278, 2016. BibTeX

Jingyu Shao, Junfu Yin, Wei Liu,, Longbing Cao. Mining actionable combined patterns of high utility and frequency. DSAA 2015: 1-10, Research Track. BibTeX

Can Wang, Longbing Cao, Chi-Hung Chi. Formalization and Verification of Group Behavior Interactions. IEEE T. Systems, Man, and Cybernetics: Systems 45(8): 1109-1124 (2015). BibTeX

Wei Cao, Longbing Cao. Financial Crisis Forecasting via Coupled Market State Analysis, IEEE Intelligent Systems, 30(2): 18-25 (2015). BibTeX

Junfu Yin, Zhigang Zheng, Longbing Cao, Yin Song, Wei Wei. Efficiently Mining Top-K High Utility Sequential Patterns, ICDM2013: 1259-1264. BibTeX

Junfu Yin, Zhigang Zheng, Longbing Cao. USpan: An Efficient Algorithm for Mining High Utility Sequential Patterns, KDD 2012, 660-668. BibTeX

Yin Song, Longbing Cao, et al. Coupled Behavior Analysis for Capturing Coupling Relationships in Group-based Market Manipulation, KDD 2012, 976-984. BibTeX

Yin Song and Longbing Cao. Graph-based Coupled Behavior Analysis: A Case Study on Detecting Collaborative Manipulations in Stock Markets, IJCNN 2012, 1-8. BibTeX

Longbing Cao, Yuming Ou, Philip S Yu. Coupled Behavior Analysis with Applications, IEEE Trans. on Knowledge and Data Engineering, 24(8): 1378-1392 (2012). BibTeX

Can Wang, and Longbing Cao.Modeling and Analysis of Social Activity Process, in Longbing Cao and Philip S Yu (eds) Behavior Computing, 21-35, Springer, 2012

Can Wang, Mingchun Wang, Zhong She, Longbing Cao. CD: A Coupled Discretization Algorithm, PAKDD2012, 407-418 BibTeX

Can Wang, Longbing Cao, Minchun Wang, Jinjiu Li, Wei Wei, Yuming Ou. Coupled Nominal Similarity in Unsupervised Learning, CIKM 2011, 973-978. BibTeX

Xiangjun Dong, Zhigang Zhao, Longbing Cao, Yanchang Zhao, Chengqi Zhang, Jinjiu Li, Wei Wei, Yuming Ou. e-NSP: Efficient Negative Sequential Pattern Mining Based on Identified Positive Patterns Without Database Rescanning, CIKM 2011, 825-830. BibTeX

Longbing Cao, Yuming Ou, Philip S YU, Gang Wei. Detecting Abnormal Coupled Sequences and Sequence Changes in Group-based Manipulative Trading Behaviors, KDD2010, 85-94. BibTeX

Zhigang Zheng, Yanchang Zhao, Ziye ZuoLongbing Cao, Huaifeng Zhang, Yanchang Zhao, Chengqi Zhang. An Efficient GA-Based Algorithm for Mining Negative Sequential Patterns, PAKDD2010, 262-273. BibTeX

Zhigang Zheng, Yanchang Zhao, Ziye Zuo, Longbing Cao. Negative-GSP: An Efficient Method for Mining Negative Sequential Patterns, AusDM 2009: 63-67. BibTeX

Shanshan Wu, Yanchang Zhao, Huaifeng Zhang, Chengqi Zhang, Longbing Cao, Hans Bohlscheid. Debt Detection in Social Security by Adaptive Sequence Classification, KSEM 2009: 192-203. BibTeX

Yanchang Zhao, Huaifeng Zhang, Longbing Cao, Chengqi Zhang and Hans Bohlscheid. Mining Both Positive and Negative Impact-Oriented Sequential Rules From Transactional Data, PAKDD2009, pp.656-663. BibTeX

Yanchang Zhao, Huaifeng Zhang, Shanshan Wu, Jian Pei,Longbing Cao, Chengqi Zhang and Hans Bohlscheid. Debt Detection in Social Security by Sequence Classification Using Both Positive and Negative Patterns, ECML/PKDD2009, 648-663, 2009. BibTeX

Huaifeng Zhang, Yanchang Zhao, Longbing Cao, Chengqi Zhang and Hans Bohlscheid. Customer Activity Sequence Classification for Debt Prevention in Social Security, Journal of Computer Science and Technology, 24(6): 1000-1009 (2009). BibTeX

Longbing Cao and Yuming Ou. Market Microstructure Patterns Powering Trading and Surveillance Agents. Journal of Universal Computer Sciences, 14(14): 2288-2308, 2008. BibTeX

Yanchang Zhao, Huaifeng Zhang, Longbing Cao, Chengqi Zhang and Hans Bohlscheid. Efficient Mining of Event-Oriented Negative Sequential Rules, WI 08, pp. 336-342. BibTeX

Longbing Cao. Zhao Y., Zhang, C. Mining Impact-Targeted Activity Patterns in Imbalanced Data, IEEE Trans. on Knowledge and Data Engineering, 20(8): 1053-1066, 2008. BibTeX

 

Computer Vision and Image Processing

Yunzhi Jiang, Pohsiang Tsai, Wei-Chang Yeh, Longbing Cao. A honey-bee-mating based algorithm for multilevel image segmentation using Bayesian theorem. Appl. Soft Comput. 52: 1181-1190, 2017. BibTeX

Yunzhi Jiang, Pohsiang Tsai, Zhifeng Hao,L.B. Cao. Automatic multilevel thresholding for image segmentation using stratified sampling and Tabu Search. Soft Comput. 19(9): 2605-2617 (2015). BibTeX

X.D. Yue, D.Q. Miao, N. Zhang,L.B. Cao, Q. Wu, Y.F. Chen. An Efficient Color Quantization Based on Generic Roughness Measure, Pattern Recognition, 47(4):1777–1789, 2014. BibTeX

Wanqi Yang, Yang Gao, Longbing Cao, Ming Yang and Yinghuan Shi. mPadal: A Joint Local-and-Global Multi-View Feature Selection Method for Activity Recognition, Applied Intelligence, 41(3): 776-790 (2014). BibTeX

Wanqi Yang, Yang Gao, Longbing Cao. TRASMIL: A Local Anomaly Detection Framework Based on Trajectory Segmentation and Multi-instance Learning, Computer Vision and Image Understanding, 117(10): 1273-1286 (2013). BibTeX

X.D. Yue, D.Q. Miao, N. Zhang,L.B. Cao, Q. Wu. Multiscale roughness measure for color image segmentation, Information Sciences, 216: 93-112, 2012.

Yunzhi Jiang, Pohsiang Tsai, Zhifeng Hao, and Longbing Cao. A Novel Auto-Parameters Selection Process For Image Segmentation, CEC2012, 1-7, BibTeX

Pohsiang Tsai, Longbing Cao, Tom Hintz, Tony Jan. A bi-modal face recognition framework integrating facial expression with facial appearance. Pattern Recognition Letters 30(12): 1096-1109 (2009). BibTeX

Pohsiang Tsai, Tich Phuoc Tran, Longbing Cao, Expression-invariant Facial Identification, SMC2009, 5151-5155. BibTeX

Qiu X., Jiang S., Liu H, Huang Q., Cao L.Spatial-Temporal Attention Analysis for Home Video, ICME2008. BibTeX

 

Financial Modeling, Analytics and Learning & Fintech

Guifeng Wang, Longbing Cao, Hongke Zhao, Qi Liu and Enhong Chen. Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty, AAAI-21. BibTeX

Longbing Cao, George Yuan, Tim Leung, Wei Zhang. Special Issue on AI and FinTech: The Challenge Ahead. IEEE Intell. Syst. 35(2): 3-6, 2020. BibTeX

Jia Xu, Longbing Cao. Vine Copula-based Asymmetry and Tail Dependence Modeling, PAKDD2018. BibTeX

Jia Xu, Wei Wei, Longbing Cao. Copula-Based High Dimensional Cross-Market Dependence Modeling, DSAA2017 Research Track, 734-743. BibTeX

Wei Cao, Liang Hu, Longbing Cao. Deep Modeling Complex Couplings within Financial Markets, AAAI2015, 2518-2524. BibTeX

Wei Cao, Yves Demazeau, Longbing Cao, Weidong Zhu. Financial crisis and global market couplings. DSAA 2015: 1-10, Research Track. BibTeX

Wei Cao, Longbing Cao. Financial Crisis Forecasting via Coupled Market State Analysis, IEEE Intelligent Systems, 30(2): 18-25 (2015). BibTeX

Wei Wei, Junfu Yin, Jinyan Li, Longbing Cao. Modeling Asymmetry and Tail Dependence among Multiple Variables by Using Partial Regular Vine. SDM 2014: 776-784. BibTeX

Wei Cao, Longbing Cao, Yin Song. Coupled Market Behavior Based Financial Crisis Detection, IJCNN2013. BibTeX

Wei Wei, Jinyan Li, Longbing Cao, Xixi Chen. Optimal Allocation of High Dimensional Assets through Canonical Vines, PAKDD 2013, 2013. BibTeX

Longbing Cao, Yuming Ou, Philip S Yu. Coupled Behavior Analysis with Applications (KDD2010 extension), IEEE Trans. on Knowledge and Data Engineering, 24(8): 1378-1392 (2012). BibTeX

Wei Wei, Jinjiu Li, Longbing Cao, Yuming Ou, Jiahang Chen. Effective detection of sophisticated online banking fraud on extremely imbalanced data, World Wide Web, 16:449–475, 2013. BibTeX

Wei Wei, Xuhui Fan, Jinyan Li, Longbing Cao. Model the Complex Dependence Structures of Financial Variables by Using Canonical Vine, CIKM 2012. BibTeX

Yin Song, Longbing Cao, et al. Coupled Behavior Analysis for Capturing Coupling Relationships in Group-based Market Manipulation, KDD 2012. BibTeX

Wei Cao, Cheng Wang and Longbing Cao. Trading Strategy Based Portfolio Selection for Actionable Trading Agents, ADMI 2012. BibTeX

Yin Song and Longbing Cao. Graph-based Coupled Behavior Analysis: A Case Study on Detecting Collaborative Manipulations in Stock Markets, IJCNN 2012. BibTeX

Longbing Cao, Yuming Ou, Philip S YU, Gang Wei. Detecting Abnormal Coupled Sequences and Sequence Changes in Group-based Manipulative Trading Behaviors, KDD2010, 85-94. BibTeX

Yong Yang, Longbing Cao,Li Liu. Time-Sensitive Feature Mining for Temporal Sequence Classification, PRICAI2010, 315-326, LNCS6230, 2010. BibTeX

Longbing Cao and Tony He. Developing actionable trading agents, Knowledge and Information Systems: An International Journal, 18(2): 183-198 (2009). BibTeX

Longbing Cao. Developing Actionable Trading Strategies, in Lakhmi C. Jain; Ngoc Thanh Nguyen (eds): Intelligent Agents in the Evolution of WEB and Applications, Springer, 193-215, 2009.

Li Lin, Longbing Cao. Mining In-Depth Patterns in Stock Market, Int. J. Intelligent System Technologies and Applications, Vol.4, Nos.3/4, pp225-238, 2008. BibTeX

Yuming Ou, Longbing Cao, Chao Luo and Li Liu. Mining Exceptional Activity Patterns in Microstructure Data, WI2008. BibTeX

Yuming Ou, Longbing Cao, Chao Luo and Chengqi Zhang. Domain-Driven Local Exceptional Pattern Mining for Detecting Stock Price Manipulation, PRICAI2008, LNAI 5351, pp. 849-858, 2008. BibTeX

Longbing Cao et al. Agent Collaboration for Multiple Trading Strategy Integration. KES-AMS2008, LNCS4953, 361-370. BibTeX

Chao Luo, Yanchang Zhao, Longbing Cao, Yuming Ou and Chengqi Zhang. Exception Mining on Multiple Time Series in Stock Market, WI-IAT 08 Workshops, pp. 690-693. BibTeX

Chao Luo, Yanchang Zhao, Longbing Cao, Yuming Ou and Li Liu. Outlier Mining on Multiple Time Series Data in Stock Market, PRICAI2008, pp. 1010-1015. BibTeX

Longbing Cao and Yuming Ou. Market Microstructure Patterns Powering Trading and Surveillance Agents. Journal of Universal Computer Sciences, Journal of Universal Computer Sciences, 14(14): 2288-2308, 2008. BibTeX

Longbing Cao. Multi-strategy integration for actionable trading agents. ADMI2007 workshop joint with IAT2007. BibTeX

Longbing Cao, Chao Luo, Chengqi Zhang. Developing actionable trading strategies for trading agents, IAT2007. BibTeX

Yuming Ou, Longbing Cao, Ting Yu, and Chengqi Zhang.Detecting Turning Points of Trading Price and Return Volatility for Market Surveillance Agents, ADMI2007 workshop joint with IAT2007. BibTeX

Longbing Cao, Chengqi Zhang. F-Trade: An Agent-Mining Symbiont for Financial Services, AAMAS2007. BibTeX

Li Lin, Longbing Cao,Chengqi Zhang. Genetic Algorithms for Robust Optimization in Financial Applications. The IASTED International Conference on Computational Intelligence (CI 2005), ISBN 0-88986-481-0, 2005. BibTeX

Li Lin,Longbing Cao,Chengqi Zhang. The Visualization of Large Database in Stock Market. The 25th IASTED International Conference on Databases and Applications (DBA 2005), 2005. BibTeX

Li Lin,Longbing Cao,Chengqi Zhang. The Fish-eye Visualization of Foreign Currency Exchange Data Streams. The 4th Asia Pacific Symposium on Information Visualisation, Jan. 27-29, 2005 Sydney, Australia, 2005. BibTeX

Longbing Cao, Jiaqi Wang, Li Lin, and chengqi zhang. Agent Services-Based Infrastructure for Online Assessment of Trading Strategies. proceedings of the 2004 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT’04), IEEE Computer Society Press, pp345-349. BibTeX

Longbing Cao, Chao Luo, Dan Luo, Chengqi Zhang, Hybrid Intelligent Analysis and Control of Telecommunications Frauds, in Proceedings of the 2nd International Conference on Information Technology and Applications (ICITA2004), Harbin, China, January 8-11, 2004.pp.11-15 (ISBN 0-646-42313-4)

Li Lin, Longbing Cao, Jiaqi Wang, Chengqi Zhang, The Applications of Genetic Algorithms in Stock Market Data Mining Optimisation, Proceedings of Fifth International Conference on Data Mining, Text Mining and their Business Applications, September 15-17, 2004, Malaga, Spain.

Longbing Cao, Dan Luo, Chao Luo, and Chengqi Zhang, Systematic Engineering in Designing Architecture of Telecommunications Business Intelligence System, Design and Application of Hybrid Intelligent System (Proceedings of International Conferencec on Hybrid Intelligent System), Melbourne, Australia, 14-17 Dec 2003. pp. 1084-1093. (ISBN: 1 58603 3948 [IOS Press]). BibTeX

 

Artificial Intelligence, Intelligent Systems, Knowledge Representation, Multi-agent Systems, Agent Mining, Organizational Computing, Metasynthetic Engineering

Longxiang Shi, Shijian Li, Qian Zheng, Longbing Cao, Long Yang, Gang Pan: Maximum Entropy Reinforcement Learning with Evolution Strategies. IJCNN’2020: 1-8, 2020. BibTeX

Longxiang Shi, Shijian Li, Longbing Cao, Long Yang, Gang Pan. TBQ(σ): Improving Efficiency of Trace Utilization for Off-Policy Reinforcement Learning, AAMAS 2019: 1025-1032. BibTeX

Dong Yu, Priyadarsi Nanda, Longbing Cao, Xiangjian He. TCTM: an evaluation framework for architecture design on wireless sensor networks, International Journal of Sensor Networks, 14, 3, 168-177(10), 2013. BibTeX

Chayapol Moemeng, Xinhua Zhu, Longbing Cao. Obtaining an Optimal MAS Configuration for Agent-Enhanced Mining Using Constraint Optimization, 46-57, AMDI 2011, LNCS7103, Springer, 2011. BibTeX

Chayapol Moemeng, Can Wang, Longbing Cao. Integrating Workflow into Agent-Based Distributed Data Mining Systems, 4-15, AMDI 2010, LNCS5782, 648-663, Springer, 2010. BibTeX

Longbing Cao.Data Mining and Multi-agent Integration (edited). Springer, 2009. BibTeX

Peerapol Moemeng, Longbing Cao, and Chengqi Zhang. F-TRADE 3.0 : An Agent-Based Integrated Framework For Data Mining Experiments, the 2008 IEEE/WIC/ACM International Workshop on Agents and Data Mining Interaction, joint with WI-IAT08 BibTeX

Longbing Cao. Integrating Agent, Service and Organizational Computing, Int. J. on Software Engineering and Knowledge Engineering, 18(5):573-596, 2008. BibTeX

Longbing Cao, Zhang C., Zhou M. Engineering open complex agent systems: a case study, IEEE Trans. On Systems, Man, and Cybernetics–Part C: Applications and Reviews, 38(4):483 – 496, 2008. BibTeX

Yanshan Xiao, Bo Liu, Dan Luo, Longbing Cao. Multi-agent System for Custom Relationship Management with SVMs Tool. KES-AMS2008, LNCS4953, 333-340, Springer, 2008. BibTeX

Longbing Cao et al. Agent Collaboration for Multiple Trading Strategy Integration. KES-AMS2008, LNCS4953, 361-370. BibTeX

Longbing Cao. Multi-strategy integration for actionable trading agents. ADMI2007 workshop joint with IAT2007. BibTeX

Yuming Ou, Longbing Cao, Ting Yu, and Chengqi Zhang. Detecting Turning Points of Trading Price and Return Volatility for Market Surveillance Agents, ADMI2007 workshop joint with IAT2007. BibTeX

Longbing Cao, Chengqi Zhang. F-Trade: An Agent-Mining Symbiont for Financial Services, AAMAS2007. BibTeX

Longbing Cao, Chao Luo, Chengqi Zhang. Developing actionable trading strategies for trading agents, IAT2007. BibTeX

Longbing Cao, Chao Luo, Chengqi Zhang. Agent-Mining Interaction: An Emerging Area, AIS-ADM07, LNAI 4476, 60-73, Springer, 2007. BibTeX

Chengqi Zhang, Zili ZhangLongbing Cao. Keynote: Agents and Data Mining: Mutual Enhancement by Integration. AIS-ADM 2005, Springer LNAI 3505, PP. 50-61, 2005. BibTeX

Longbing Cao, Chengqi Zhang, Ruwei Dai. Organization-Oriented Analysis of Open Complex Agent Systems. Int. J. on Intelligent Control and Systems, Vol.10 No.2, pp114-122, 2005.

Longbing Cao, Ruwei Dai. Agent-Oriented Metasynthetic Engineering for Decision Making, International Journal of Information Technology and Decision Making, 2(2):197-215, World Scientific Publishing, 2003. BibTeX

Longbing Cao, Chengqi Zhang, Ruwei Dai. The OSOAD Methodology for Open Complex Agent Systems. Int. J. on Intelligent Control and Systems, Vol.10 No.4, pp277-285, 2005.

Longbing Cao, Chengqi Zhang, Jiarui Ni. Agent Services-Orinted Architectural Design of Open Complex Agent Systems. The 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT’05), IEEE Computer Society Press, 2005. BibTeX

Longbing Cao, Chengqi Zhang, Dan Luo, Wanli Chen, Neda Zamani. Integrative Early Requirements Analysis for Agent-Based Systems. The 4th Int. Conf. on Hyrbrid Intelligent Systems, 2004. BibTeX

Longbing Cao, Jiarui Ni, Jiaqi Wang, Chengqi Zhang. Agent Services-Driven Plug-and-Play in F-TRADE. 17th Australian Joint Conference on Artificial Intelligence, G.I. Webb and Xinghuo Yu (Eds.): AI 2004, LNAI 3339, pp. 917-922, 2004. BibTeX

Longbing Cao, Jiaqi Wang, Li Lin, and chengqi zhang. Agent Services-Based Infrastructure for Online Assessment of Trading Strategies. proceedings of the 2004 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT’04), IEEE Computer Society Press, pp345-349. BibTeX

Chunsheng Li, Chengqi Zhang, and Longbing Cao, Theoretical evaluation of ring-based architectural model for middle agents in agent-based system, in proceedings of the 14th International Symposium on Methodologies for Intelligent Systems (ISMIS’03), 603-607, Springer (LNAI 2871), 2003. BibTeX

Longbing Cao, Chao Luo, Chunsheng Li, Chengqi Zhang, and Ruwei Dai, Open giant intelligent information systems and its agent-oriented abstraction mechamism, In: Proceedings of the fifteenth International Conference on Software Engineering and Knoledge Engineering (SEKE 2003), San Francisco, California, USA, July 1-3, 2003. pp.85-89. (ISBN: 1-891706-12-8)

Longbing Cao, Chunsheng Li, Chengqi Zhang, and Ruwei Dai, Open Giant Intelligent Information Systems and Its Agent-Oriented Analysis and Design, Proceedings of The 2003 International Conference on Software Engineering Research and Practice (SERP’03), Vol.2, pp. 816-822, Las Vegas, Nevada, USA, June 23-26, 2003. CSREA Press. (ISBN: 1-932415-20-3). BibTeX

Longbing Cao, Ruwei Dai. Agent-based Approach for Analysis and Design of Open Giant Intelligent Systems, First International Conference on Control and Automation (ICCA02), Xiamen, China IEEE Catalog Number: 02EX560C, pp1085-1089, ISBN: 0-7803-7413-4, 2003

Longbing Cao, Ruwei Dai. Human-Computer Cooperated Intelligent Information System Based on Multi-Agents, ACTA AUTOMATICA SINICA, 29(1):86-94, 2003, China (in English)

Longbing Cao, Ruwei Dai. Social Abstraction for Agent-based Open Giant Intelligent Systems, Proceedings of International Conference on Intelligent Information Technology (ICIIT-02), September 22-25, 2002, pp.47-52, Beijing, China. (ISBN 7-115-75100-5/0267)

Longbing Cao, Ruwei Dai. Autonomous Intelligent Agents-based Metasynthetic Engineering: A Macroeconomic Decision-Support System, First International Congress on Autonomous Intelligent Systems(ICAIS2002), Geelong, Australia, ICSC Academic Press,pp60-66, Canada/The Netherlands, 2002.

Longbing Cao, Ruwei Dai. Agent-Oriented Approach for Dealing with Open Giant Intelligent Systems, Journal of Pattern Recognition and Artificial Intelligence, 15(3): 75-81,2002 (in Chinese)

Longbing Cao, Ruwei Dai. Software Architecture of the Hall for Workshop of Metasynthetic Engineering, Journal of Software, China, 13(8):1430-1435, 2002 (in Chinese)

Longbing Cao, Ruwei Dai. Framework of Intelligent Information Agents-based HWME, Proceeding of Xuesen Qian’s Scientific Contributions and His Academic Thought (Eds. Jian Song), pp317-325, Beijng, China, 2001
Longbing Cao, Chao Luo, Chunsheng Li, Chengqi Zhang, and Ruwei Dai, Open giant intelligent information systems and its agent-oriented abstraction mechamism, In: Proceedings of the fifteenth International Conference on Software Engineering and Knoledge Engineering (SEKE 2003), San Francisco, California, USA, July 1-3, 2003. pp.85-89. (ISBN: 1-891706-12-8)

Longbing Cao, Chunsheng Li, Chengqi Zhang, and Ruwei Dai, Open Giant Intelligent Information Systems and Its Agent-Oriented Analysis and Design, Proceedings of The 2003 International Conference on Software Engineering Research and Practice (SERP’03), Vol.2, pp. 816-822, Las Vegas, Nevada, USA, June 23-26, 2003. CSREA Press. (ISBN: 1-932415-20-3). BibTeX

Longbing Cao, Ruwei Dai. Social Abstraction for Agent-based Open Giant Intelligent Systems, Proceedings of International Conference on Intelligent Information Technology (ICIIT-02), September 22-25, 2002, pp.47-52, Beijing, China. (ISBN 7-115-75100-5/0267)

Longbing Cao, Ruwei Dai. “Autonomous Intelligent Agents-based Metasynthetic Engineering: A Macroeconomic Decision-Support System”, First International Congress on Autonomous Intelligent Systems(ICAIS2002), Geelong, Australia, ICSC Academic Press,pp60-66, Canada/The Netherlands, 2002.

Longbing Cao, Ruwei Dai. “Agent-based Approach for Analysis and Design of Open Giant Intelligent Systems”, First International Conference on Control and Automation (ICCA’02), Xiamen, China IEEE Catalog Number: 02EX560C, pp1085-1089, ISBN: 0-7803-7413-4, 2003

Longbing Cao, Ruwei Dai. “Framework of Intelligent Information Agents-based HWME”, Proceeding of Xuesen Qian’s Scientific Contributions and His Academic Thought (Eds. Jian Song), pp317-325, Beijng, China, 2001

Ruwei Dai, Longbing Cao. “Internet—-An Open Complex Giant System”, Science in China (Series E), Sciences In China Series E, 33(4), 289-296, 2003 (in Chinese).

Longbing Cao, Ruwei Dai. “Human-Computer Cooperated Intelligent Information System Based on Multi-Agents”, ACTA AUTOMATICA SINICA, 29(1):86-94, 2003, China (in English)

Longbing Cao, Ruwei Dai. “On Metasynthesis and Decision Making”, Journal of Computer Research and Development, No2 2003 (in Chinese)

Longbing Cao, Ruwei Dai. “Agent-Oriented Approach for Dealing with Open Giant Intelligent Systems”, Journal of Pattern Recognition and Artificial Intelligence, 15(3): 75-81 (in Chinese)

Longbing Cao, Ruwei Dai. “Software Architecture of the Hall for Workshop of Metasynthetic Engineering”, Journal of Software, China, 13(8):1430-1435, 2002 (in Chinese)

Longbing Cao, Jingchang Nan, Ruwei Dai. “Intelligent Mobile Agents for Distributed Information Integration”, Journal of System Simulation, China, 14(11):1517-1520, 2002 (in Chinese)

Longbing Cao, Ruwei Dai. “Architecture of Internet-based Hall for Workshop of Metasynthetic Engineering”, Journal of Computer Science, China, 2002, 29(6):63-66.

Ruwei Dai, Longbing Cao. “Research of Hall for Workshop of Metasynthetic Engineering”, Journal of Management Sciences, China, 2002, Vol5,No.3 10-16

Longbing Cao, Ruwei Dai. “Information System with Metasynthetic Wisdom—-Internet”, Chinese Journal of Pattern Recognition and Artificial Intelligence, 14(1):1-8, China, 2001

Ruwei Dai, Longbing Cao. “An Open Complex Giant System”, Journal of Systems Engineering(in Chinese), 16(5):376-381, 2001

Longbing Cao, Jianming Zhu. Design of Receiving Antenna for Through-the-Earth Communication System”, Coal Mine Automation, No.1:26-27, China, 1998

Longbing Cao, Chengqi Zhang, Jiming Liu. Ontology-Based Integration of Business Intelligence. Int. J. on Web Intelligence and Agent Systems, accepted, 2005. BibTeX

Longbing Cao, Dan Luo, Chao Luo, Li Liu. Ontology Transformation in Multiple Domains. 17th Australian Joint Conference on Artificial Intelligence, G.I. Webb and Xinghuo Yu (Eds.): AI 2004, LNAI 3339, pp. 985–990, 2004. BibTeX

Longbing Cao, Chao Luo, Dan Luo, and Chengqi Zhang. Integration of Business Intelligence Based on Three-Level Ontology Services. proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence(WI’04),IEEE Computer Society Press, 20-24 September, 2004, Beijing, China. BibTeX

Longbing Cao, Chao Luo, Dan Luo, Li Liu. Ontology Services-Based Information Integration in Mining Telecom Business Intelligence. Proceeding of PRICAI04, Springer Press,pp85-94,2004. BibTeX