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In this paper, we study the problem of author identification under double-blind review setting, which is to identify potential authors given information of an anonymized paper.
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Effect of open peer review on quality of reviews and on reviewers’ recommendations: a randomised trial
S. Van Rooyen, F. Godlee, S. Evans, N. Black, and R. Smith · 1999
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The myth of the double-blind review?: author identification using only citations
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Co-author relationship prediction in heterogeneous bibliographic networks
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The scorecard solution to the author-paper identification challenge
X. Zhao · 2013
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Contextual rule-based feature engineering for author-paper identification
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Deepwalk: Online learning of social representations
B. Perozzi, R. Al-Rfou, and S. Skiena · 2014
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Personalized entity recommendation: A heterogeneous information network approach
X. Yu, X. Ren, Y. Sun, Q. Gu, B. Sturt, U. Khandelwal, B. Norick, and J. Han · 2014
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Kdd cup 2013-author-paper identification challenge: second place team
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Combination of feature engineering and ranking models for paper-author identification in kdd cup 2013
C.-L. Li, Y.-C. Su, T.-W. Lin, C.-H. Tsai, W.-C. Chang, K.-H. Huang, T.-M. Kuo, S.-W. Lin, Y.-S. Lin, Y.-C. Lu, et al · 2013
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Feature engineering and tree modeling for author-paper identification challenge
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Efficient estimation of word representations in vector space
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Large-scale machine learning with stochastic gradient descent
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Heterogeneous network embedding via deep architectures
S. Chang, W. Han, J. Tang, G.-J. Qi, C. C. Aggarwal, and T. S. Huang · 2015
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Semantic path based personalized recommendation on weighted heterogeneous information networks
C. Shi, Z. Zhang, P. Luo, P. S. Yu, Y. Yue, and B. Wu · 2015
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Pte: Predictive text embedding through large-scale heterogeneous text networks
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Line: Large-scale information network embedding
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Entity embedding-based anomaly detection for heterogeneous categorical events
T. Chen, L.-A. Tang, Y. Sun, Z. Chen, and K. Zhang · 2016
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