• 147 Citations
  • 7 h-Index
20062017
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Research Output 2006 2017

  • 147 Citations
  • 7 h-Index
  • 10 Article
  • 8 Conference contribution
2017

Convex-constrained sparse additive modeling and its extensions

Yin, J. & Yu, Y., Jan 1 2017, Uncertainty in Artificial Intelligence - Proceedings of the 33rd Conference, UAI 2017. AUAI Press Corvallis

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

Experiments
2 Citations (Scopus)

Scalable temporal latent space inference for link prediction in dynamic social networks (Extended abstract)

Zhu, L., Guo, D., Yin, J., Steeg, G. V. & Galstyan, A., May 16 2017, Proceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017. IEEE Computer Society, p. 57-58 2 p. 7929931

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

1 Citation (Scopus)
Electronic commerce
Experiments
Testbeds
Scalability
Sales
2016
3 Citations (Scopus)

A time-varying group sparse additive model for genome-wide association studies of dynamic complex traits

Marchetti-Bowick, M., Yin, J., Howrylak, J. A. & Xing, E. P., Oct 1 2016, In : Bioinformatics. 32, 19, p. 2903-2910 8 p.

Research output: Contribution to journalArticle

Additive Models
Genome-Wide Association Study
Complex Dynamics
Phenotype
Time-varying
1 Citation (Scopus)

Identifying high quality carding services in underground economy using nonparametric supervised topic model

Li, W., Yin, J. & Chen, H., 2016, 2016 International Conference on Information Systems, ICIS 2016. Association for Information Systems

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

Crime
Testbeds
1 Citation (Scopus)

Latent space inference of internet-scale networks

Ho, Q., Yin, J. & Xing, E. P., Apr 1 2016, In : Journal of Machine Learning Research. 17

Research output: Contribution to journalArticle

Community Detection
Internet
Overlapping
Web Graph
Computer systems
61 Citations (Scopus)

Scalable temporal latent space inference for link prediction in dynamic social networks

Zhu, L., Guo, D., Yin, J., Steeg, G. V. & Galstyan, A., Oct 1 2016, In : IEEE Transactions on Knowledge and Data Engineering. 28, 10, p. 2765-2777 13 p., 7511675.

Research output: Contribution to journalArticle

Global optimization
Scalability
1 Citation (Scopus)

Targeting key data breach services in underground supply chain

Li, W., Yin, J. & Chen, H., Nov 15 2016, IEEE International Conference on Intelligence and Security Informatics: Cybersecurity and Big Data, ISI 2016. Institute of Electrical and Electronics Engineers Inc., p. 322-324 3 p. 7745501

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

Supply chains
Experiments
Supply chain
Targeting
Breach
2015

Scalable overlapping community detection in internet-scale networks

Yin, J., Ho, Q. & Xing, E. P., 2015, 25th Annual Workshop on Information Technologies and Systems, WITS 2015. University of Texas at Dallas

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

Internet
2014
4 Citations (Scopus)

GWAS in a box: Statistical and visual analytics of structured associations via GenAMap

Xing, E. P., Curtis, R. E., Schoenherr, G., Lee, S., Yin, J., Puniyani, K., Wu, W. & Kinnaird, P., Jun 6 2014, In : PLoS One. 9, 6, e97524.

Research output: Contribution to journalArticle

Genome-Wide Association Study
chromosome mapping
Software
artificial intelligence
Gene expression

Hypothesis testing of meiotic recombination rates from population genetic data

Yin, J., 2014, In : BMC Genetics. 15, 1, 122.

Research output: Contribution to journalArticle

Population Genetics
Genetic Recombination
Biological Phenomena
Gene Conversion
Telomere
2013
19 Citations (Scopus)

A scalable approach to probabilistic latent space inference of large-scale networks

Yin, J., Ho, Q. & Xing, E. P., 2013, Advances in Neural Information Processing Systems. Neural information processing systems foundation

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

Recovery
Statistical Models
2012
7 Citations (Scopus)
Transcriptome
Single Nucleotide Polymorphism
Genome
Genes
Genome-Wide Association Study
15 Citations (Scopus)

Group sparse additive models

Yin, J., Chen, X. & Xing, E. P., 2012, Proceedings of the 29th International Conference on Machine Learning, ICML 2012. Vol. 1. p. 871-878 8 p.

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

Group
Hilbert spaces
penalty
cancer
Recovery
11 Citations (Scopus)

On triangular versus edge representations - Towards scalable modeling of networks

Ho, Q., Yin, J. & Xing, E. P., 2012, Advances in Neural Information Processing Systems. Vol. 3. p. 2132-2140 9 p.

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

Costs
Demonstrations
2009
13 Citations (Scopus)

Joint estimation of gene conversion rates and mean conversion tract lengths from population SNP data

Yin, J., Jordan, M. I. & Song, Y. S., 2009, In : Bioinformatics. 25, 12

Research output: Contribution to journalArticle

Gene Conversion
Single Nucleotide Polymorphism
Genes
Joints
Gene
2006

Model selection for mixtures of mutagenetic trees

Yin, J., Beerenwinkel, N., Rahnenführer, J. & Lengauer, T., 2006, In : Statistical Applications in Genetics and Molecular Biology. 5, 1, 17.

Research output: Contribution to journalArticle

Model Selection
Bayesian Information Criterion
Mixture Model
Model Selection Criteria
Patient Selection
8 Citations (Scopus)

Model selection for mixtures of mutagenetic trees

Yin, J., Beerenwinkel, N., Rahnenführer, J. & Lengauer, T., Jan 1 2006, In : Statistical Applications in Genetics and Molecular Biology. 5, 1, 17.

Research output: Contribution to journalArticle

Model Selection
Bayesian Information Criterion
Mixture Model
Model Selection Criteria
Patient Selection