Longbing Cao

Research Outputs

Research output per year 2013 2014 2015 2016 2017 2018 2021 2022 2024

• 104 Article
• 53 Conference proceeding contribution
• 16 Conference paper
• 8 Review article
• 28 More
  • 7 Editorial
  • 6 Conference abstract
  • 5 Preprint
  • 3 Book
  • 3 Comment/opinion
  • 2 Edited Book/Anthology
  • 1 Chapter
  • 1 Other journal contribution

Research output per year

Research output per year

Search results

• 2024

  Explicit and implicit pattern relation analysis for discovering actionable negative sequences

  Wang, W. & Cao, L., Apr 2024, In: IEEE Transactions on Neural Networks and Learning Systems. 35, 4, p. 5183-5197 15 p.

  Research output: Contribution to journal › Article › peer-review

  • Decision making 100%
  • Industry 60%
  1 Citation (Scopus)

• Learning informative representation for fairness-aware multivariate time-series forecasting: a group-based perspective

  He, H., Zhang, Q., Wang, S., Yi, K., Niu, Z. & Cao, L., Jun 2024, In: IEEE Transactions on Knowledge and Data Engineering. 36, 6, p. 2504-2516 13 p.

  Research output: Contribution to journal › Article › peer-review

  • Time Series Forecasting 100%
  • Multivariate Time Series 82%
  • Fairness 80%
  • Learning 57%
  • Time series 55%
  3 Citations (Scopus)

• Out-of-distribution detection by cross-class vicinity distribution of in-distribution data

  Zhao, Z., Cao, L. & Lin, K. Y., Oct 2024, In: IEEE Transactions on Neural Networks and Learning Systems. 35, 10, p. 13777-13788 12 p.

  Research output: Contribution to journal › Article › peer-review

  • Labels 100%
  • Image classification 62%
  • Deep neural networks 57%
  • Experiments 20%
  1 Citation (Scopus)
• 2023

  AI and data science for smart emergency, crisis and disaster resilience

  Cao, L., Apr 2023, In: International Journal of Data Science and Analytics. 15, 3, p. 231-246 16 p.

  Research output: Contribution to journal › Article › peer-review

  • Disaster 100%
  • Resilience 97%
  • Emergency 94%
  • Data Science 91%
  • Crisis 89%
  23 Citations (Scopus)

• AI in finance: challenges, techniques, and opportunities

  Cao, L., Mar 2023, In: ACM Computing Surveys. 55, 3, p. 1-38 38 p., 64.

  Research output: Contribution to journal › Article › peer-review

  • Finance 100%
  • Data Science 86%
  • Business 34%
  • Review 15%
  • Categorization 14%
  139 Citations (Scopus)

• An efficient method for modeling nonoccurring behaviors by negative sequential patterns with loose constraints

  Qiu, P., Gong, Y., Zhao, Y., Cao, L., Zhang, C. & Dong, X., Apr 2023, In: IEEE Transactions on Neural Networks and Learning Systems. 34, 4, p. 1864-1878 15 p.

  Research output: Contribution to journal › Article › peer-review

  • Set theory 100%
  • Costs 59%
  • Experiments 55%
  13 Citations (Scopus)

• BiT-MAC: mortality prediction by bidirectional time and multi-feature attention coupled network on multivariate irregular time series

  Wang, Q., Chen, G., Jin, X., Ren, S., Wang, G., Cao, L. & Xia, Y., Mar 2023, In: Computers in Biology and Medicine. 155, p. 1-9 9 p., 106586.

  Research output: Contribution to journal › Article › peer-review

  • Time series 100%
  • Mortality 58%
  • Blood pressure 13%
  • Recurrent neural networks 12%
  • Arterial Pressure 11%
  13 Citations (Scopus)

• Revealing the distributional vulnerability of discriminators by implicit generators

  Zhao, Z., Cao, L. & Lin, K-Y., Jul 2023, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 45, 7, p. 8888-8901 14 p.

  Research output: Contribution to journal › Article › peer-review

  • Vulnerability 100%
  • Discriminators 92%
  • Generator 54%
  • Entropy 20%
  • Training 15%
  9 Citations (Scopus)

• Supervision adaptation balancing in-distribution generalization and out-of-distribution detection

  Zhao, Z., Cao, L. & Lin, K-Y., Dec 2023, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 45, 12, p. 15743-15758 16 p.

  Research output: Contribution to journal › Article › peer-review

  • Balancing 100%
  • Labels 49%
  • Generalization 44%
  • Refining 28%
  • Labeling 28%
  1 Citation (Scopus)

• Trans-AI/DS: transformative, transdisciplinary and translational artificial intelligence and data science

  Cao, L., Mar 2023, In: International Journal of Data Science and Analytics. 15, 2, p. 119-132 14 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Data Science 100%
  • Artificial Intelligence 88%
  • Artificial intelligence 64%
  • Paradigm 31%
  • Engineering 17%
  10 Citations (Scopus)

  87 Downloads (Pure)
• 2022

  A new age of AI: features and futures

  Cao, L., 2022, In: IEEE Intelligent Systems. 37, 1, p. 25-37 13 p.

  Research output: Contribution to journal › Article › peer-review
  41 Citations (Scopus)

• AutoAI: autonomous AI

  Cao, L., 2022, In: IEEE Intelligent Systems. 37, 5, p. 3-5 3 p.

  Research output: Contribution to journal › Article › peer-review

  • Machine learning 100%
  • Data Science 61%
  • Pipelines 34%
  2 Citations (Scopus)

• Beyond AutoML: mindful and actionable AI and AutoAI with mind and action

  Cao, L., 2022, In: IEEE Intelligent Systems. 37, 5, p. 6-18 13 p.

  Research output: Contribution to journal › Article › peer-review

  • Machine learning 100%
  • Automation 69%
  • Data Science 61%
  • Data Analytics 49%
  • Intelligent systems 46%
  6 Citations (Scopus)

• Beyond i.i.d. non-IID thinking, informatics, and learning

  Cao, L., 2022, In: IEEE Intelligent Systems. 37, 4, p. 5-17 13 p.

  Research output: Contribution to journal › Article › peer-review

  • Informatics 100%
  • Data Science 37%
  • Engineering technology 33%
  • Intelligent systems 28%
  • Learning systems 28%
  22 Citations (Scopus)

• CoupledMUTS: coupled multivariate utility time-series representation and prediction

  Ren, S., Guo, B., Li, K., Wang, Q., Yu, Z. & Cao, L., 15 Nov 2022, In: IEEE Internet of Things Journal. 9, 22, p. 22972-22982 11 p.

  Research output: Contribution to journal › Article › peer-review

  • Time series 100%
  • Smart city 12%
  • Deep learning 10%
  • Internet of things 9%
  • Fusion reactions 9%
  11 Citations (Scopus)

• DeepExpress: heterogeneous and coupled sequence modeling for express delivery prediction

  Ren, S., Guo, B., Cao, L., Li, K., Liu, J. & Yu, Z., Dec 2022, In: ACM Transactions on Intelligent Systems and Technology. 13, 6, p. 1-22 22 p., 89.

  Research output: Contribution to journal › Article › peer-review

  • Express 100%
  • Prediction 92%
  • Modeling 74%
  • Business 49%
  • Learning 41%
  3 Citations (Scopus)

• Deep learning applications

  Cao, L., 2022, In: IEEE Intelligent Systems. 37, 3, p. 3-5 3 p.

  Research output: Contribution to journal › Article › peer-review

  • Deep learning 100%
  • Deep neural networks 54%
  • Network architecture 52%
  • Machine learning 41%
  7 Citations (Scopus)

• From features engineering to scenarios engineering for trustworthy AI: I&I, C&C, and V&V

  Li, X., Ye, P., Li, J., Liu, Z., Cao, L. & Wang, F. Y., 2022, In: IEEE Intelligent Systems. 37, 4, p. 18-26 9 p.

  Research output: Contribution to journal › Article › peer-review

  • Artificial intelligence 100%
  • Network architecture 26%
  • Calibration 21%
  131 Citations (Scopus)

• Learning multiaspect traffic couplings by multirelational graph attention networks for traffic prediction

  Huang, J., Luo, K., Cao, L., Wen, Y. & Zhong, S., Nov 2022, In: IEEE Transactions on Intelligent Transportation Systems. 23, 11, p. 20681-20695 15 p.

  Research output: Contribution to journal › Article › peer-review

  • Neural networks 100%
  34 Citations (Scopus)

• Modeling time evolving COVID-19 uncertainties with density dependent asymptomatic infections and social reinforcement

  Liu, Q. & Cao, L., 2022, In: Scientific Reports. 12, p. 1-14 14 p., 5891.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Social Reinforcement 100%
  • Asymptomatic Infections 73%
  • Uncertainty 55%
  • Epidemics 31%
  • Pandemics 25%
  4 Citations (Scopus)

  50 Downloads (Pure)

• Neural time-aware sequential recommendation by jointly modeling preference dynamics and explicit feature couplings

  Zhang, Q., Cao, L., Shi, C. & Niu, Z., Oct 2022, In: IEEE Transactions on Neural Networks and Learning Systems. 33, 10, p. 5125-5137 13 p.

  Research output: Contribution to journal › Article › peer-review

  • Recommender systems 100%
  • Factorization 99%
  • Experiments 35%
  36 Citations (Scopus)

• Personalized next-best action recommendation with multi-party interaction learning for automated decision-making

  Cao, L. & Zhu, C., 27 Jan 2022, In: PLoS ONE. 17, 1, p. 1-22 22 p., e0263010.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Decision Making 100%
  • Learning 89%
  • Deep Learning 55%
  • Reward 39%
  • Demography 26%
  7 Citations (Scopus)

  62 Downloads (Pure)

• Recurrent coupled topic modeling over sequential documents

  Guo, J., Cao, L. & Gong, Z., Feb 2022, In: ACM Transactions on Knowledge Discovery from Data. 16, 1, p. 1-32 32 p., 8.

  Research output: Contribution to journal › Article › peer-review

  • Degradation 100%
  • Costs 54%
  1 Citation (Scopus)

• Unsupervised heterogeneous coupling learning for categorical representation

  Zhu, C., Cao, L. & Yin, J., Jan 2022, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 44, 1, p. 533-549 17 p.

  Research output: Contribution to journal › Article › peer-review

  • Categorical 100%
  • Nominal or categorical data 98%
  • Learning 96%
  • Object 31%
  • Attribute 22%
  34 Citations (Scopus)
• 2021

  A survey on session-based recommender systems

  Wang, S., Cao, L., Wang, Y., Sheng, Q. Z., Orgun, M. A. & Lian, D., Sept 2021, In: ACM Computing Surveys. 54, 7, p. 1-38 38 p., 154.

  Research output: Contribution to journal › Article › peer-review

  • Recommender Systems 100%
  • Recommender systems 60%
  • User Preferences 13%
  • User Behavior 6%
  • Taxonomy 4%
  344 Citations (Scopus)

• DhCM: dynamic and hierarchical event categorization and discovery for social media stream

  Guo, J., Gong, Z. & Cao, L., Oct 2021, In: ACM Transactions on Intelligent Systems and Technology. 12, 5, p. 1-25 25 p., 57.

  Research output: Contribution to journal › Article › peer-review

  • Social Media 100%
  • Categorization 74%
  • Miners 21%
  • Modeling 20%
  • Hierarchy 19%
  2 Citations (Scopus)

• Hierarchical attentive transaction embedding with intra- and inter-transaction dependencies for next-item recommendation

  Wang, S., Cao, L., Hu, L., Berkovsky, S., Huang, X., Xiao, L. & Lu, W., 1 Jul 2021, In: IEEE Intelligent Systems. 36, 4, p. 56-64 9 p.

  Research output: Contribution to journal › Article › peer-review

  • Recommender systems 100%
  25 Citations (Scopus)

• Homophily outlier detection in non-IID categorical data

  Pang, G., Cao, L. & Chen, L., Jul 2021, In: Data Mining and Knowledge Discovery. 35, 4, p. 1163-1224 62 p.

  Research output: Contribution to journal › Article › peer-review

  • Anomaly detection 100%
  • Feature extraction 29%
  • Probability distributions 18%
  • Detectors 14%
  13 Citations (Scopus)

• Interactive sequential basket recommendation by learning basket couplings and positive/negative feedback

  Wang, W. & Cao, L., Jul 2021, In: ACM Transactions on Information Systems. 39, 3, p. 1-26 26 p., 24.

  Research output: Contribution to journal › Article › peer-review

  • Negative Feedback 100%
  • Recommender Systems 50%
  • Feedback 42%
  • Recommender systems 38%
  • Positive Feedback 11%
  15 Citations (Scopus)

• Learning deep relevance couplings for ad-hoc document retrieval

  Hao, S., Shi, C., Cao, L., Niu, Z. & Guo, P., 30 Nov 2021, In: Expert Systems with Applications. 183, p. 1-11 11 p., 115335.

  Research output: Contribution to journal › Article › peer-review

  • Deep learning 100%
  • Semantics 76%
  • Experiments 5%
  4 Citations (Scopus)

• Table2Vec-automated universal representation learning of enterprise data DNA for benchmarkable and explainable enterprise data science

  Cao, L. & Zhu, C., 2021, In: Scientific Reports. 11, p. 1-22 22 p., 23957.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Data Science 100%
  • Learning 52%
  • DNA 40%
  • Data Accuracy 18%
  • Data Warehousing 13%
  1 Citation (Scopus)

  58 Downloads (Pure)

• VM-NSP: vertical negative sequential pattern mining with loose negative element constraints

  Wang, W. & Cao, L., Apr 2021, In: ACM Transactions on Information Systems. 39, 2, p. 1-27 27 p., 22.

  Research output: Contribution to journal › Article › peer-review

  • Sequential Patterns 100%
  • Pattern Mining 98%
  • Experiments 2%
  • Performance 2%
  • Experiment 1%
  11 Citations (Scopus)
• 2020

  Cognitive aspects-based short text representation with named entity, concept and knowledge

  Hou, W., Liu, Q. & Cao, L., 2 Jul 2020, In: Applied Sciences. 10, 14, p. 1-13 13 p., 4893.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Semantics 100%
  • semantics 94%
  • Application 46%
  • knowledge representation 26%
  • Internet of things 24%
  3 Citations (Scopus)

  31 Downloads (Pure)

• E-RNSP: an efficient method for mining repetition negative sequential patterns

  Dong, X., Gong, Y. & Cao, L., May 2020, In: IEEE Transactions on Cybernetics. 50, 5, p. 2084-2096 13 p.

  Research output: Contribution to journal › Article › peer-review
  52 Citations (Scopus)

• Heterogeneous univariate outlier ensembles in multidimensional data

  Pang, G. & Cao, L., Dec 2020, In: ACM Transactions on Knowledge Discovery from Data. 14, 6, p. 1-27 27 p., 68.

  Research output: Contribution to journal › Article › peer-review

  • Detectors 100%
  • Anomaly detection 44%
  • Probability distributions 40%
  5 Citations (Scopus)
• 2019

  CURE: flexible categorical data representation by hierarchical coupling learning

  Jian, S., Pang, G., Cao, L., Lu, K. & Gao, H., May 2019, In: IEEE Transactions on Knowledge and Data Engineering. 31, 5, p. 853-866 14 p.

  Research output: Contribution to journal › Article › peer-review

  • Nominal or categorical data 100%
  • Anomaly detection 87%
  • High-dimensional Data 82%
  • Learning 76%
  • Scoring 57%
  42 Citations (Scopus)

• Evolving coauthorship modeling and prediction via time-aware paired choice analysis

  Hu, L., Chen, Q., Cao, L., Jian, S., Zhao, H. & Cao, J., 2019, In: IEEE Access. 7, p. 98639-98651 13 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Experiments 100%

• HCBC: a hierarchical case-based classifier integrated with conceptual clustering

  Zhang, Q., Shi, C., Niu, Z. & Cao, L., Jan 2019, In: IEEE Transactions on Knowledge and Data Engineering. 31, 1, p. 152-165 14 p.

  Research output: Contribution to journal › Article › peer-review

  • Retrieval 100%
  • Case-based Reasoning 98%
  • Classifier 89%
  • Clustering 75%
  • Similarity Measure 72%
  26 Citations (Scopus)

• Mining top-k useful negative sequential patterns via learning

  Dong, X., Qiu, P., Lü, J., Cao, L. & Xu, T., Sept 2019, In: IEEE Transactions on Neural Networks and Learning Systems. 30, 9, p. 2764-2778 15 p.

  Research output: Contribution to journal › Article › peer-review

  • Informatics 100%
  • Scalability 67%
  • Costs 64%
  42 Citations (Scopus)

• Modeling positive and negative feedback for improving document retrieval

  Hao, S., Shi, C., Niu, Z. & Cao, L., 15 Apr 2019, In: Expert Systems with Applications. 120, p. 253-261 9 p.

  Research output: Contribution to journal › Article › peer-review

  • Feedback 100%
  • Query languages 12%
  • Experiments 4%
  5 Citations (Scopus)
• 2018

  Concept coupling learning for improving concept lattice-based document retrieval

  Hao, S., Shi, C., Niu, Z. & Cao, L., Mar 2018, In: Engineering Applications of Artificial Intelligence. 69, p. 65-75 11 p.

  Research output: Contribution to journal › Article › peer-review

  • Semantics 100%
  • Formal concept analysis 49%
  • Information retrieval systems 43%
  • Information retrieval 35%
  • Experiments 13%
  22 Citations (Scopus)

• Coupled clustering ensemble by exploring data interdependence

  Wang, C., Chi, C-H., She, Z., Cao, L. & Stantic, B., Dec 2018, In: ACM Transactions on Knowledge Discovery from Data. 12, 6, p. 1-38 38 p., 63.

  Research output: Contribution to journal › Article › peer-review

  • Sensitivity analysis 100%
  • Statistical methods 95%
  • Scalability 91%
  • Experiments 40%
  9 Citations (Scopus)

• Coupled node similarity learning for community detection in attributed networks

  Meng, F., Rui, X., Wang, Z., Xing, Y. & Cao, L., Jun 2018, In: Entropy. 20, 6, p. 1-19 19 p., 471.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Community Detection 100%
  • learning 71%
  • Attribute 63%
  • Learning 59%
  • Similarity 56%
  19 Citations (Scopus)

  22 Downloads (Pure)

• Effective lossless condensed representation and discovery of spatial co-location patterns

  Wang, L., Bao, X., Chen, H. & Cao, L., Apr 2018, In: Information Sciences. 436-437, p. 197-213 17 p.

  Research output: Contribution to journal › Article › peer-review

  • Co-location 100%
  • Mining 46%
  • Participation 42%
  • Closed 40%
  • Pattern Mining 30%
  48 Citations (Scopus)

• Exploring feature coupling and model coupling for image source identification

  Huang, Y., Cao, L., Zhang, J., Pan, L. & Liu, Y., Dec 2018, In: IEEE Transactions on Information Forensics and Security. 13, 12, p. 3108-3121 14 p.

  Research output: Contribution to journal › Article › peer-review

  • Experiments 100%
  18 Citations (Scopus)

• F-NSP⁺: a fast negative sequential patterns mining method with self-adaptive data storage

  Dong, X., Gong, Y. & Cao, L., Dec 2018, In: Pattern Recognition. 84, p. 13-27 15 p.

  Research output: Contribution to journal › Article › peer-review

  • Data storage equipment 100%
  • Scanning 63%
  • Data structures 33%
  • Computational complexity 33%
  35 Citations (Scopus)

• Generalized hidden-mapping minimax probability machine for the training and reliability learning of several classical intelligent models

  Deng, Z., Chen, J., Zhang, T., Cao, L. & Wang, S., Apr 2018, In: Information Sciences. 436-437, p. 302-319 18 p.

  Research output: Contribution to journal › Article › peer-review

  • Minimax 100%
  • Training 85%
  • Learning 73%
  • Misclassification Probability 35%
  • Model 26%
  5 Citations (Scopus)

• GeoMF++: scalable location recommendation via joint geographical modeling and matrix factorization

  Lian, D., Zheng, K., Ge, Y., Cao, L., Chen, E. & Xie, X., Jul 2018, In: ACM Transactions on Information Systems. 36, 3, p. 1-29 29 p., 33.

  Research output: Contribution to journal › Article › peer-review

  • Matrix Factorization 100%
  • Factorization 61%
  • Implicit Feedback 43%
  • Modeling 35%
  • Kernel Density Estimation 18%
  109 Citations (Scopus)

• Heterogeneous metric learning of categorical data with hierarchical couplings

  Zhu, C., Cao, L., Liu, Q., Yin, J. & Kumar, V., Jul 2018, In: IEEE Transactions on Knowledge and Data Engineering. 30, 7, p. 1254-1267 14 p.

  Research output: Contribution to journal › Article › peer-review

  • Nominal or categorical data 100%
  • Learning 76%
  • Metric 55%
  • Attribute 40%
  • Experiments 29%
  32 Citations (Scopus)

• Modeling and forecasting the popularity evolution of mobile apps

  Ouyang, Y., Guo, B., Guo, T., Cao, L. & Yu, Z., Dec 2018, In: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 2, 4, p. 1-23 23 p., 182.

  Research output: Contribution to journal › Article › peer-review

  • Application programs 100%
  • Ecosystems 9%
  • Decision making 6%