Photo of Xin Hong
  • Room 02.034 - Titanic Quarter - ECIT

    United Kingdom

20002019

Research output per year

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Research Output

  • 4 Article
  • 3 Paper
  • 2 Conference contribution
2019

Component-based Feature Saliency for Clustering

Hong, X., Miller, P., Zhou, J., Li, L., Crookes, D., Lu, Y., Li, X. & Zhou, H., 22 Aug 2019, In : IEEE Transactions on Knowledge and Data Engineering. 15 p.

Research output: Contribution to journalArticle

Open Access
File
117 Downloads (Pure)
2017

Evidential Network Modeling for Cyber-Physical System State Inference

Friedberg, I., Hong, X., McLaughlin, K., Smith, P. & Miller, P., 22 Jun 2017, In : IEEE Access. 15 p.

Research output: Contribution to journalArticle

Open Access
File
9 Citations (Scopus)
274 Downloads (Pure)

Hierarchical Task Network Planning with Common-Sense Reasoning for Multiple-People Behaviour Analysis

Santofimia, M. J., Martinez del Rincon, J., Hong, X., Zhou, H., Miller, P., Villa, D. & Lopez, J. C., 01 Mar 2017, In : Expert Systems with Applications. 69, p. 118-134 17 p.

Research output: Contribution to journalArticle

Open Access
File
1 Citation (Scopus)
239 Downloads (Pure)
2016

Evidential event inference in transport video surveillance

Hong, X., Huang, Y., Ma, W., Varadarajan, S., Miller, P., Liu, W., Romero, M. J. S., Martinez del Rincon, J. & Zhou, H., 2016, In : Computer Vision and Image Understanding. 144, p. 276-297 22 p.

Research output: Contribution to journalArticle

Open Access
File
8 Citations (Scopus)
232 Downloads (Pure)
2014

Evidence reasoning for event inference in smart transport video surveillance

Hong, X., Ma, W., Huang, Y., Miller, P., Liu, W. & Zhou, H., 04 Nov 2014, ICDSC '14 Proceedings of the International Conference on Distributed Smart Cameras.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

File
5 Citations (Scopus)
291 Downloads (Pure)

Video Event Recognition by Dempster-Shafer Theory

Hong, X., Huang, Y., Ma, W., Miller, P., Liu, W. & Zhou, H., Aug 2014, 21 European Conference on Artificial Intelligence (ECAI 2014) . p. 1031-1032 2 p. (Frontiers in Artificial Intelligence and Applications).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
1 Citation (Scopus)
112 Downloads (Pure)
2003

Enhancing model-based diagnosis with belief functions for fault management

Hong, X., Liu, W. & Scanlon, W., Sep 2003, p. 63-67. 5 p.

Research output: Contribution to conferencePaper

Integrating belief functions with model-based diagnosis for fault management.

Hong, X., Liu, W. & Scanlon, W., Jul 2003, p. 37-43. 7 p.

Research output: Contribution to conferencePaper

2000

Using belief measurement to guide model-based diagnosis

Hong, X. & Scanlon, W., Jul 2000, p. 41-47. 7 p.

Research output: Contribution to conferencePaper