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Guanfeng Liu

Mr

 https://orcid.org/0000-0001-8980-4950
  • 943 Citations
  • 16 h-Index
20052020
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  • 1 Similar Profiles
Experiments Engineering & Materials Science
Recommender systems Engineering & Materials Science
Heuristic algorithms Engineering & Materials Science
Quality of service Engineering & Materials Science
Scheduling Engineering & Materials Science
Manipulators Engineering & Materials Science
Decision making Engineering & Materials Science
Resource allocation Engineering & Materials Science

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

Projects 2019 2020

Diverse and Dynamic Trust Evaluation in Online Social Networks

Liu, G. & Sheng, Q.

1/01/19 → 31/12/20

Project: Other

Research Outputs 2005 2019

  • 943 Citations
  • 16 h-Index
  • 71 Conference proceeding contribution
  • 38 Article
  • 2 Chapter
  • 1 Conference paper

An efficient method for top-k graph based node matching

Liu, G., Shi, Q., Zheng, K., Liu, A., Li, Z. & Zhou, X., 15 May 2019, In : World Wide Web. 22, 3, p. 945-966 22 p.

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

Pattern matching
Labels
Monte Carlo methods

A novel hybrid publication recommendation system using compound information

Yang, Q., Li, Z., Liu, A., Liu, G., Zhao, L., Zhang, X., Zhang, M. & Zhou, X., Nov 2019, In : World Wide Web. 22, 6, p. 2499-2517 19 p.

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

Recommender systems
Experiments

Context-aware graph pattern based top-k designated nodes finding in social graphs

Liu, G., Shi, Q., Zheng, K., Li, Z., Liu, A. & Xu, J., 15 Mar 2019, In : World Wide Web-Internet And Web Information Systems. 22, 2, p. 751-770 20 p.

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

Differential private collaborative Web services QoS prediction

Liu, A., Shen, X., Li, Z., Liu, G., Xu, J., Zhao, L., Zheng, K. & Shang, S., Nov 2019, In : World Wide Web. 22, 6, p. 2697-2720 24 p.

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

DMFP: a dynamic multi-faceted fine-grained preference model for recommendation

Wang, H., Liu, G., Zhao, Y., Zheng, B., Zhao, P. & Zheng, K., 2019, 2019 IEEE International Conference on Data Mining (ICDM). Wang, J., Shim, K. & Wu, X. (eds.). Los Alamitos, CA: Institute of Electrical and Electronics Engineers (IEEE), p. 608-617 10 p.

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

Convolution
Experiments