2022
  • Fan, J., Ke, Z., Liao, Y. and Neuhierl, A. (2022).
    Structural Deep Learning in Conditional Asset Pricing. (SSRN, pdf)
  • Ke, Z. and Wang, J. (2022).
    Optimal Network Membership Estimation under Severe Degree Heterogeneity. (arXiv, pdf)
  • Cammarata, L. and Ke, Z. (2022).
    Power Enhancement and Phase Transitions for Global Testing of the Mixed Membership Stochastic Block Model. (arXiv, pdf, supplement, code)
    Bernoulli (to appear).
  • Ke, Z. and Jin J. (2022).
    The SCORE Normalization, Especially for Highly Heterogeneous Network and Text Data. (arXiv, pdf)
  • Ke, Z. and Wang, L. (2022).
    A Comparison of Hamming Errors of Representative Variable Selection Methods. (arXiv, pdf)
    10th International Conference on Learning Representations (ICLR 2022).
  • Ji, P., Jin, J., Ke, Z. and Li, W. (2022).
    Co-citation and Co-authorship Networks of Statisticians (with discussions). (website, pdf, data and code)
    Journal of Business & Economic Statistics, 40(2), 469-485.
  • Jin, J., Ke, Z., Luo, S. and Wang, M. (2022).
    Optimal Estimation of the Number of Network Communities. (website, arXiv, pdf)
    Journal of the American Statistical Association, 1-16.
  • Chen, D., Tashman, K., Palmer, D., Bloemendal, A., Neale, B, Roeder, K., Churchhouse, C. and Ke, Z. (2022).
    A Data Harmonization Pipeline to Leverage External Controls and Boost Power in GWAS. (website, pdf)
    Human Molecular Genetics, 31(3), 481-489.
  • Jin, J., Ke, Z. and Luo, S. (2022).
    Improvements on SCORE, Especially for Weak Signals. (website, pdf, code)
    Sankhya A, 84(1), 127-162.

2020-2021
  • Huang, Y., Ke, Z. and Jin, J. (2021).
    Allocation of COVID-19 Testing Budget on a Commute Network of Counties. (website, pdf, supplement, code)
    Stat, 11(1), e441.
  • Hu, Z., Ke, Z. and Liu, J. (2021).
    Measurement Error Models: from Nonparametric Methods to Deep Neural Networks. (pdf, supplement, code)
    Statistical Science, to appear.
  • Ke, Z., Ma, Y. and Lin, X. (2021).
    Estimation of the Number of Spiked Eigenvalues in a Covariance Matrix by Bulk Eigenvalue Matching Analysis. (website, pdf, supplement, code)
    Journal of the American Statistical Association, 1-19.
  • Jin, J., Ke, Z. and Luo, S. (2021).
    Optimal Adaptivity of Signed-Polygon Statistics for Network Testing. (website, pdf, supplement)
    Annals of Statistics, 49(6), 3408-3433.
  • Jin, J., Ke, Z. and Liang, J. (2021).
    Sharp Impossibility Results for Hyper-graph Testing. (website, pdf, supplement)
    Advances in Neural Information Processing Systems (NeurIPS 2021).
  • Ke, Z., Liu, J. and Ma, Y. (2020).
    Power of FDR Control Methods: The Impact of Ranking Algorithm, Tampered Design, and Symmetric Statistic. (arXiv, pdf)

2018-2019
  • Ke, Z., Shi, F. and Xia, D. (2019).
    Community Detection for Hypergraph Networks via Regularized Tensor Power Iteration. (arXiv, pdf)
  • Ke, Z., Kelly, B. and Xiu, D. (2019).
    Predicting Returns with Text Data. (SSRN, pdf)
  • Ke, Z., Xue, L. and Yang, F. (2019).
    Diagonally Dominant Principal Component Analysis. (website, pdf, code)
    Journal of Computational and Graphical Statistics, 29(3): 592-607.
  • Duan, Y., Ke, Z. and Wang, M. (2019).
    State Aggregation Learning from Markov Transition Data. (website, pdf, supplement)
    33rd Conference on Neural Information Processing Systems (NeurIPS 2019).
  • Jin, J., Ke, Z. and Luo, S. (2018).
    Network Global Testing by Counting Graphlets. (website, pdf, supplement)
    35th International Conference on Machine Learning (ICML 2018).
  • Peng, R., Lee, H., Ke, Z., and Saunders, M. (2018).
    Racial Disparities in Kidney Transplant Waitlist Appearance in Chicago: Is it Race or Place? (website, pdf)
    Clinical Transplantation, 32(5): e13195.
  • Ke, Z., Bose, K. and Fan, J. (2018).
    Higher Moment Estimation for Elliptically-distributed Data: Is it Necessary to Use a Sledgehammer to Crack an Egg? (arXiv, pdf)

2017 and before
  • Jin, J., Ke, Z. and Luo, S. (2017).
    Estimating Network Memberships by Simplex Vertex Hunting. (arXiv, pdf)
  • Ke, Z. and Yang, F. (2017).
    Covariate Assisted Variable Ranking. (arXiv, pdf)
  • Ke, Z. and Wang, M. (2017).
    A New SVD Approach to Optimal Topic Estimation. (arXiv, pdf, code)
  • Jin, J. and Ke, Z. (2017).
    A Sharp Lower Bound for Mixed-Membership Estimation. (arXiv, pdf)
  • Jin, J., Ke, Z. and Wang, W. (2017).
    Phase Transitions for High-dimensional Clustering and Related Problems. (website, pdf, supplement)
    Annals of Statistics, 45(5), 2151-2189.
  • Ke, Z. (2016).
    Detecting Rare and Weak Spikes in Large Covariance Matrices. (arXiv, pdf)
  • Ji, P., Jin, J. and Ke, Z. (2016).
    Discussion on "Statistical Modeling of Citation Exchange between Statistics Journals". (website, pdf)
    Journal of the Royal Statistical Society: Series A, 179(1), 52-52.
  • Jin, J. and Ke, Z. (2016).
    Rare and Weak Effects in Large-scale Inference: Methods and Phase Diagrams. (website, pdf)
    Editor's Invited Review, Statistica Sinica, 26(1), 1-34.
  • Fan, J., Ke, Z., Liu, H. and Xia, L. (2015).
    QUADRO: A Supervised Dimension Reduction Method via Rayleigh Quotient Optimization. (website, pdf, supplement)
    Annals of Statistics, 43(4), 1493-1534.
  • Ke, Z., Fan, J. and Wu, Y. (2015).
    Homogeneity Pursuit. (website, pdf, supplement)
    Journal of the American Statistical Association, 110(509):175-194.
  • Fan, J. and Ke, Z. (2014).
    Discussion: "A Significance Test for the Lasso". (website, pdf)
    Annals of Statistics, 42(2): 483-492.
  • Jin, J. and Ke, Z. (2014).
    Discussion on "Multiscale Change Point Inference". (website, pdf)
    Journal of the Royal Statistical Society: Series B, 76(3): 555-557.
  • Ke, Z., Jin, J. and Fan, J. (2014).
    Covariate Assisted Screening and Estimation. (website, pdf, supplement)
    Annals of Statistics, 42(6): 2202-2242.