• 531 Citations
  • 13 h-Index
20142021
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Personal profile

Research interests

Data Mining, Machine Learning, Recommender Systems, Social Networks

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Learning systems Engineering & Materials Science
Labels Engineering & Materials Science
Recommender systems Engineering & Materials Science
Experiments Engineering & Materials Science
Classifiers Engineering & Materials Science
Time series Engineering & Materials Science
Factorization Engineering & Materials Science
Brain Engineering & Materials Science

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Projects 2018 2021

Trust Evaluation and Spam Detection on Online Social Networks

Sheng, Q., Yang, J., Wu, J., Collins, A., Nepal, S. & Paris, C.

3/12/1831/08/21

Project: Other

Research Output 2014 2019

  • 531 Citations
  • 13 h-Index
  • 27 Article
  • 26 Conference proceeding contribution
  • 1 Review article

A correlation-based feature weighting filter for naive Bayes

Jiang, L., Zhang, L., Li, C. & Wu, J., 1 Feb 2019, In : IEEE Transactions on Knowledge and Data Engineering. 31, 2, p. 201-213 13 p., 8359364.

Research output: Contribution to journalArticleResearchpeer-review

Redundancy
Data mining
Learning systems
Computational complexity

A deep framework for Cross-Domain and Cross-System Recommendations

Zhu, F., Wang, Y., Chen, C., Liu, G., Orgun, M. & Wu, J., 2018, Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18). Lang, J. (ed.). Freiburg: International Joint Conferences on Artificial Intelligence, p. 3711-3717 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Open Access
Recommender systems
Factorization
Deep neural networks
Experiments

A novel consistent random forest framework: Bernoulli random forests

Wang, Y., Xia, S-T., Tang, Q., Wu, J. & Zhu, X., 2018, In : IEEE Transactions on Neural Networks and Learning Systems. 29, 8, p. 3510-3523 14 p.

Research output: Contribution to journalArticleResearchpeer-review

Brain EEG time series selection: a novel graph-based approach for classification

Dai, C., Wu, J., Pi, D. & Cui, L., 1 Jan 2018, Proceedings of the 2018 SIAM International Conference on Data Mining. Ester, M. & Pedreschi, D. (eds.). Philadelphia: Society for Industrial and Applied Mathematics Publications, p. 558-566 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Electroencephalography
Time series
Brain

DAliM: Machine learning based intelligent lucky money determination for large-scale e-commerce businesses

Fu, M., Wong, C. M., Zhu, H., Huang, Y., Li, Y., Zheng, X., Wu, J., Yang, J. & Vong, C. M., 1 Jan 2018, Service-Oriented Computing: 16th International Conference, ICSOC 2018, Proceedings. Yu, Q., Pahl, C., Vukovic, M. & Yin, J. (eds.). Switzerland: Springer-VDI-Verlag GmbH & Co. KG, p. 740-755 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11236 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Electronic Commerce
Learning systems
Machine Learning
Customers
Marketing