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

• 2022

  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)

• 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)

• 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)
• 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)

• Deep learning for anomaly detection: challenges, methods, and opportunities

  Pang, G., Cao, L. & Aggarwal, C., 2021, WSDM '21: proceedings of the 14th ACM International Conference on Web Search and Data Mining. New York: Association for Computing Machinery (ACM), p. 1127-1130 4 p.

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

  • Anomaly detection 100%
  • Deep learning 85%
  • Labeled data 18%
  • Finance 18%
  • Security of data 15%
  36 Citations (Scopus)
• 2017

  Behavior informatics to discover behavior insight for active and tailored client management

  Cao, L., 2017, KDD '17: proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York: Association for Computing Machinery (ACM), p. 15-16 2 p.

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