• 1395 Citations
  • 21 h-Index
20082021
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Personal profile

Research interests

Data Mining, Machine Learning, Recommender Systems, Social Networks

Fingerprint Dive into the research topics where Jia Wu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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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.

3/12/1831/08/21

Project: Other

Research Outputs 2008 2019

  • 1395 Citations
  • 21 h-Index
  • 59 Conference proceeding contribution
  • 58 Article
  • 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

Redundancy
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
File
Neural networks
Smartphones
Parking
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

Learning
Neural networks
Benchmarking
Feedforward neural networks
Learning algorithms

CoTrRank: Trust evaluation of users and tweets

Li, P., Zhao, W., Yang, J. & Wu, J., Aug 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (ed.). International Joint Conferences on Artificial Intelligence, Vol. 2019-August. p. 6542-6544 3 p.

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

Open Access

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. 13, 1, p. 1-24 24 p., 12.

Research output: Contribution to journalArticleResearchpeer-review

Electric network analysis
Experiments