Profile The profile is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Chromosomes Medicine & Life Sciences
Cells Engineering & Materials Science
Earth (planet) Engineering & Materials Science
Communication Engineering & Materials Science
Support vector machines Engineering & Materials Science
FPTAS Mathematics
Clustering Mathematics
Costs Engineering & Materials Science

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Grants 2017 2018

Publications 2011 2017

  • 5 h-Index
  • 18 Conference contribution
  • 7 Article

Faster algorithm for truth discovery via range cover

Huang, Z., Ding, H. & Xu, J. 2017 Algorithms and Data Structures - 15th International Symposium, WADS 2017, Proceedings. Springer Verlag, Vol. 10389 LNCS, p. 461-472 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10389 LNCS)

Research output: ResearchConference contribution

Fast Algorithm
Range of data
Data Structures

Finding rigid sub-structure patterns from 3D point-sets

Chen, Z., Chen, D., Ding, H., Ziyun, H., Li, Z., Sehgal, N., Fritz, A., Berezney, R. & Xu, J. Apr 13 2017 2016 23rd International Conference on Pattern Recognition, ICPR 2016. Institute of Electrical and Electronics Engineers Inc., p. 1725-1730 6 p. 7899885

Research output: ResearchConference contribution

Model structures

Chromatic kernel and its applications

Ding, H., Stojkovic, B., Chen, Z., Hughes, A., Xu, L., Fritz, A., Sehgal, N., Berezney, R. & Xu, J. Apr 1 2016 In : Journal of Combinatorial Optimization. 31, 3, p. 1298-1315 18 p.

Research output: Research - peer-reviewArticle


Distributed and robust support vector machine

Liu, Y., Ding, H., Huang, Z. & Xu, J. Dec 1 2016 27th International Symposium on Algorithms and Computation, ISAAC 2016. Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, Vol. 64, p. 54.1-54.13

Research output: ResearchConference contribution

Support vector machines
Approximation algorithms
1 Citations

Finding global optimum for truth discovery: Entropy based geometric variance

Ding, H., Gao, J. & Xu, J. Jun 1 2016 32nd International Symposium on Computational Geometry, SoCG 2016. Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, Vol. 51, p. 34.1-34.16

Research output: ResearchConference contribution

Data mining
Big data