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)

• Global COVID-19 research and modeling: a historical record

  Cao, L., 2024, Singapore: Springer, Springer Nature. 383 p. (Data Analytics)

  Research output: Book/Report › Book › peer-review

• 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)

• Bayesian federated learning: a survey

  Cao, L., Chen, H., Fan, X., Gama, J., Ong, Y-S. & Kumar, V., 2023, Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence. Elkind, E. (ed.). California: International Joint Conferences on Artificial Intelligence, p. 7233-7242 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  Open Access

  • Taxonomies 100%
  • Servers 68%
  • Uncertainty 59%
  • Communication 47%
  2 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)

• Copula variational LSTM for high-dimensional cross-market multivariate dependence modeling

  Xu, J. & Cao, L., 9 May 2023, (Submitted) (arXiv).

  Research output: Working paper › Preprint

  • Long short-term memory 100%
  • Stochastic models 94%
  • Deep neural networks 83%
  • Time series 74%
  • Neural networks 52%

• Deep spectral copula mechanisms modeling coupled and volatile multivariate time series

  Yang, Y., Zhao, Z. & Cao, L., 2023, 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA): proceedings. Manolopoulos, Y. & Zhou, Z-H. (eds.). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  • Volatiles 100%
  • Multivariate Time Series 84%
  • Copula 68%
  • Time series 55%
  • Spectrality 48%
  1 Citation (Scopus)

• FourierGNN: rethinking multivariate time series forecasting from a pure graph perspective

  Yi, K., Zhang, Q., Fan, W., He, H., Hu, L., Wang, P., An, N., Cao, L. & Niu, Z., 2023, 37th Conference on Neural Information Processing Systems (NeurIPS 2023). Oh, A., Naumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). San Diego, CA: Neural Information Processing Systems (NIPS) Foundation, p. 1-23 23 p. (Advances in Neural Information Processing Systems; vol. 36).

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  Open Access

  • Time series 100%
  • Neural networks 70%
  • Graph structures 20%
  • Convolution 16%
  • Industry 7%
  36 Citations (Scopus)

• Frequency-domain MLPs are more effective learners in time series forecasting

  Yi, K., Zhang, Q., Fan, W., Wang, S., Wang, P., He, H., Lian, D., An, N., Cao, L. & Niu, Z., 2023, 37th Conference on Neural Information Processing Systems (NeurIPS 2023). Oh, A., Naumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). San Diego, CA: Neural Information Processing Systems (NIPS) Foundation, p. 1-24 24 p. (Advances in Neural Information Processing Systems; vol. 36).

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  Open Access

  • Multilayer neural networks 100%
  • Time series 84%
  • Finance 14%
  • Compaction 10%
  • Experiments 4%
  40 Citations (Scopus)

• How varying intervention, vaccination, mutation and ethnic conditions affect COVID-19 resurgence

  Cao, L. & Liu, Q., 7 Feb 2023, (Submitted) (medRxiv).

  Research output: Working paper › Preprint

  • Vaccination 100%
  • Mutation 69%
  • Viruses 31%
  • Herd Immunity 23%
  • Coronavirus 19%

• 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

  AI in combating the COVID-19 pandemic

  Cao, L., 2022, In: IEEE Intelligent Systems. 37, 2, p. 3-13 11 p.

  Research output: Contribution to journal › Review article › peer-review

  Open Access

  • Viruses 100%
  • Alarm systems 95%
  10 Citations (Scopus)

• AI science and engineering: a new field

  Cao, L., 2022, In: IEEE Intelligent Systems. 37, 1, p. 3-13 11 p.

  Research output: Contribution to journal › Review article › peer-review

  • Education 100%
  • Industry 4.0 72%
  • Artificial intelligence 51%
  • Industry 25%
  6 Citations (Scopus)

• AI science and engineering

  Cao, L., 2022, In: IEEE Intelligent Systems. 37, 1, p. 14-15 2 p.

  Research output: Contribution to journal › Editorial

  • Engineering education 100%
  • Artificial intelligence 74%
  • Industry 36%
  3 Citations (Scopus)

• ANDEA: anomaly and novelty detection, explanation, and accommodation

  Pang, G., Li, J., van den Hengel, A., Cao, L. & Dietterich, T. G., 2022, KDD '22: proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York: Association for Computing Machinery (ACM), p. 4892-4893 2 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference abstract

  • Anomaly detection 100%
  • Fintech 58%
  • Computer vision 54%
  • Data mining 53%
  • Machine learning 46%
  2 Citations (Scopus)

• 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)

• COVID-19 modeling: a review

  Cao, L. & Liu, Q., 23 Aug 2022, (Submitted) (medRxiv).

  Research output: Working paper › Preprint

  • artificial intelligence 100%
  • social science 71%
  • psychological development 63%
  • physician's care 56%
  • quantification 56%

• Decentralized AI: edge intelligence and smart blockchain, metaverse, Web3, and DeSci

  Cao, L., 2022, In: IEEE Intelligent Systems. 37, 3, p. 6-19 14 p.

  Research output: Contribution to journal › Review article › peer-review

  • Blockchain 100%
  • Economics 54%
  143 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)

• Deep learning for anomaly detection: a review

  Pang, G., Shen, C., Cao, L. & Van Den Hengel, A., Mar 2022, In: ACM Computing Surveys. 54, 2, p. 1-38 38 p., 38.

  Research output: Contribution to journal › Review article › peer-review

  • Anomaly Detection 100%
  • Anomaly detection 66%
  • Learning 58%
  • Deep learning 57%
  • Review 46%
  1490 Citations (Scopus)

• Deep learning for search and recommendation

  Liu, W., Xie, K., Pang, L., Bailey, J., Cao, L. & Zhang, Y., 2022, CIKM '22: proceedings of the 31st ACM International Conference on Information and Knowledge Management. New York: Association for Computing Machinery (ACM), p. 5171-5172 2 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference abstract

  • Deep Learning 100%
  • Conversion Rate 50%
  • Recommendation System 49%
  • Web Search 49%
  • Personalized Search 32%
  2 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)

• How have global scientists responded to tackling COVID-19?

  Cao, L. & Hou, W., 18 Aug 2022, (Submitted) (medRxiv).

  Research output: Working paper › Preprint

  • literature 100%
  • scientific community 81%
  • artificial intelligence 79%
  • trend 78%
  • economics 67%

• 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)

• Mining contextual item similarity without concept hierarchy

  Arefin, M. F., Ahmed, C. F., Rizvee, R. A., Leung, C. K. & Cao, L., 2022, Proceedings of the 2022 16th International Conference on Ubiquitous Information Management and Communication IMCOM 2022. Lee, S., Choo, H. & Ismail, R. (eds.). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  • Data mining 100%
  • Large dataset 65%
  • Heuristic algorithms 59%
  • Metadata 59%
  6 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)

• Non-IID federated learning

  Cao, L., 2022, In: IEEE Intelligent Systems. 37, 2, p. 14-15 2 p.

  Research output: Contribution to journal › Other journal contribution

• Non-IID learning

  Cao, L., 2022, In: IEEE Intelligent Systems. 37, 4, p. 3-4 2 p.

  Research output: Contribution to journal › Editorial

  • Data Science 100%
  • Predictive maintenance 94%
  1 Citation (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)

• Shallow and deep Non-IID learning on complex data

  Cao, L. L., Yu, P. S. & Zhao, Z., 2022, KDD '22: proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York: Association for Computing Machinery (ACM), p. 4774-4775 2 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference abstract

  • Deep learning 100%
  • Machine learning 82%
  8 Citations (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

  Anomaly and novelty detection, explanation, and accommodation (ANDEA)

  Pang, G., Li, J., van den Hengel, A., Cao, L. & Dietterich, T. G., 2021, KDD '21: proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York: Association for Computing Machinery (ACM), p. 4145-4146 2 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference abstract

  • Anomaly detection 100%
  • Fintech 58%
  • Computer vision 54%
  • Data mining 53%
  • Machine learning 46%
  4 Citations (Scopus)

• Answer keyword generation for community question answering by multiaspect gamma-poisson matrix completion

  Liu, Q., Do, T. D. T. & Cao, L., 2021, In: IEEE Intelligent Systems. 36, 4, p. 35-47 13 p.

  Research output: Contribution to journal › Review article › peer-review

  • Factorization 100%
  • Metadata 66%
  • Statistical Models 30%
  • Semantics 22%
  2 Citations (Scopus)

• 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)

• BiCMTS: bidirectional coupled multivariate learning of irregular time series with missing values

  Wang, Q., Ren, S., Xia, Y. & Cao, L., 2021, CIKM '21: proceedings of the 30th ACM International Conference on Information and Knowledge Management. New York: Association for Computing Machinery (ACM), p. 3493-3497 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

  • Missing Values 100%
  • Multivariate Time Series 91%
  • Recurrent Neural Networks 50%
  • Intensive Care Unit 50%
  • Mortality 22%
  6 Citations (Scopus)

• Coupling macro-sector-micro financial indicators for learning stock representations with less uncertainty

  Wang, G., Cao, L., Zhao, H., Liu, Q. & Chen, E., 2021, In: Proceedings of the AAAI Conference on Artificial Intelligence. 35, 5, p. 4418-4426 9 p.

  Research output: Contribution to journal › Conference paper › peer-review

  • Macros 100%
  • Uncertainty 69%
  • Experiments 7%
  23 Citations (Scopus)

• Data science and AI in FinTech: an overview

  Cao, L., Yang, Q. & Yu, P. S., Aug 2021, In: International Journal of Data Science and Analytics. 12, 2, p. 81-99 19 p.

  Research output: Contribution to journal › Editorial

  • Data Science 100%
  • Artificial intelligence 54%
  • Artificial Intelligence 44%
  • Business 24%
  • Cryptocurrency 17%
  67 Citations (Scopus)