Deep Interaction Learning in Unlabelled Big Data and Complex Systems (FT190100734)

Research output

Research output per year 2021 2021 2022 2023 2024 2025

• 19 Article
• 3 Review article
• 2 Conference paper

Research output per year

Research output per year

Search results

• 2025

  COVID-19 modeling: a review

  Cao, L. & Liu, Q., Jan 2025, In: ACM Computing Surveys. 57, 1, p. 1-42 42 p., 10.

  Research output: Contribution to journal › Review article › peer-review
  3 Citations (Scopus)
• 2024

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

  Xu, J. & Cao, L., Nov 2024, In: IEEE Transactions on Neural Networks and Learning Systems. 35, 11, p. 16233-16247 15 p.

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

• Differentiating behavioral impact with or without vaccination certification under mass vaccination and non-pharmaceutical interventions on mitigating COVID-19

  Cao, H. & Cao, L., 2024, In: Scientific Reports. 14, 1, p. 1-14 14 p., 707.

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

  Open Access

  File
  2 Citations (Scopus)

  10 Downloads (Pure)

• 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%
  2 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

  Open Access

  File

  • Labels 100%
  • Image classification 62%
  • Deep neural networks 57%
  • Experiments 20%
  2 Citations (Scopus)

• Weighting non-IID batches for out-of-distribution detection

  Zhao, Z. & Cao, L., Oct 2024, In: Machine Learning. 113, 10, p. 7371-7391 21 p.

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

  Open Access

  File
  1 Citation (Scopus)

  6 Downloads (Pure)
• 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%
  40 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%
  216 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%
  11 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%
  3 Citations (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%
  13 Citations (Scopus)

  89 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%
  11 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%
  7 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%
  27 Citations (Scopus)

• 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%
  172 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%
  6 Citations (Scopus)

  69 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%
  40 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%
  8 Citations (Scopus)

  80 Downloads (Pure)

• 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%
  39 Citations (Scopus)
• 2021

  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%
  29 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%
  16 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)

• 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)

  87 Downloads (Pure)

• Tripartite collaborative filtering with observability and selection for debiasing rating estimation on missing-not-at-random data

  Zhang, Q., Cao, L., Shi, C. & Hu, L., 2021, In: Proceedings of the AAAI Conference on Artificial Intelligence. 35, 5, p. 4671-4678 8 p.

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

  • Collaborative filtering 100%
  • Observability 97%
  • Factorization 35%
  • Experiments 3%
  12 Citations (Scopus)