• 1071 Citations
  • 18 h-Index
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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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Labels Engineering & Materials Science
Experiments Engineering & Materials Science
Classifiers Engineering & Materials Science
Learning systems Engineering & Materials Science
Time series Engineering & Materials Science
Recommender systems Engineering & Materials Science
Decision trees Engineering & Materials Science
Factorization Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2018 2021

Trust Evaluation and Spam Detection on Online Social Networks

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


Project: Other

Research Outputs 2008 2019

  • 1071 Citations
  • 18 h-Index
  • 56 Article
  • 55 Conference proceeding contribution
  • 2 Review article
  • 1 Editorial

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

Data mining
Learning systems
Computational complexity

A destination prediction network based on spatiotemporal data for bike-sharing

Jiang, J., Lin, F., Fan, J., Lv, H. & Wu, J., 1 Jan 2019, In : Complexity. 2019, p. 1-14 14 p., 7643905.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
Neural networks
Application programs
Global positioning system

An unsupervised parameter learning model for RVFL neural network

Zhang, Y., Wu, J., Cai, Z., Du, B. & Yu, P. S., 1 Apr 2019, In : Neural Networks. 112, p. 85-97 13 p.

Research output: Contribution to journalArticleResearchpeer-review

Neural networks
Feedforward neural networks
Learning algorithms

Detecting and assessing anomalous evolutionary behaviors of nodes in evolving social networks

Wang, H., Wu, J., Hu, W. & Wu, X., Jan 2019, In : ACM Transactions on Knowledge Discovery from Data (TKDD). 13, 1, p. 1-24 24 p., 12.

Research output: Contribution to journalArticleResearchpeer-review

Electric network analysis

IEEE Access special section editorial: Advanced data analytics for large-scale complex data environments

Wu, J., Pan, S., Jiang, J., Cai, Z., Du, B., Tian, Y., Wang, S. & Wang, H., 2019, In : IEEE Access. 7, p. 33778-33786 9 p.

Research output: Contribution to journalEditorialResearchpeer-review

Image recognition
Time series
Big data