Department of Mathematics
 Search | Help | Login

Math @ Duke





.......................

.......................


Publications of Anru Zhang    :chronological  alphabetical  combined  bibtex listing:

Papers Published

  1. Tan, J; Zhang, Y; Hong, C; Cai, TT; Cai, T; Zhang, AR, Integrated analysis for electronic health records with structured and sporadic missingness., J Biomed Inform, vol. 171 (November, 2025), pp. 104933 [doi]  [abs]
  2. Shi, P; Martino, C; Han, R; Janssen, S; Buck, G; Serrano, M; Owzar, K; Knight, R; Shenhav, L; Zhang, AR, TEMPTED: time-informed dimensionality reduction for longitudinal microbiome studies., Genome Biol, vol. 25 no. 1 (December, 2024), pp. 317 [doi]  [abs]
  3. Jiang, S; Gai, X; Treggiari, MM; Stead, WW; Zhao, Y; Page, CD; Zhang, AR, Soft phenotyping for sepsis via EHR time-aware soft clustering., J Biomed Inform, vol. 152 (April, 2024), pp. 104615 [doi]  [abs]
  4. Zhang, AR; Bell, RP; An, C; Tang, R; Hall, SA; Chan, C; Al-Khalil, K; Meade, CS, Cocaine Use Prediction With Tensor-Based Machine Learning on Multimodal MRI Connectome Data., Neural Comput, vol. 36 no. 1 (December, 2023), pp. 107-127 [doi]  [abs]
  5. Towe, SL; Tang, R; Gibson, MJ; Zhang, AR; Meade, CS, Longitudinal changes in neurocognitive performance related to drug use intensity in a sample of persons with and without HIV who use illicit stimulants., Drug Alcohol Depend, vol. 251 (October, 2023), pp. 110923 [doi]  [abs]
  6. Han, R; Zhang, AR, Rungang Han and Anru R. Zhangs contribution to the Discussion of ‘Vintage factor analysis with varimax performs statistical inference’ by Rohe & Zeng, Journal of the Royal Statistical Society Series B Statistical Methodology, vol. 85 no. 4 (September, 2023), pp. 1069-1070, Oxford University Press (OUP) [doi]  [abs]
  7. Hao, B; Zhang, A; Cheng, G, Sparse and Low-Rank Tensor Estimation via Cubic Sketchings, IEEE Transactions on Information Theory, vol. 66 no. 9 (September, 2020), pp. 5927-5964, Institute of Electrical and Electronics Engineers (IEEE) [doi]
  8. Zhang, A; Wang, M, Spectral State Compression of Markov Processes, IEEE Transactions on Information Theory, vol. 66 no. 5 (May, 2020), pp. 3202-3231, Institute of Electrical and Electronics Engineers (IEEE) [doi]
  9. Cao, Y; Zhang, A; Li, H, Multisample estimation of bacterial composition matrices in metagenomics data, Biometrika, vol. 107 no. 1 (March, 2020), pp. 75-92, Oxford University Press (OUP) [doi]  [abs]
  10. Zhang, AR; Luo, Y; Raskutti, G; Yuan, M, ISLET: Fast and Optimal Low-Rank Tensor Regression via Importance Sketching, SIAM Journal on Mathematics of Data Science, vol. 2 no. 2 (January, 2020), pp. 444-479, Society for Industrial & Applied Mathematics (SIAM) [doi]
  11. Zhang, AR; Zhou, Y, On the non-asymptotic and sharp lower tail bounds of random variables, Stat, vol. 9 no. 1 (January, 2020) [doi]  [abs]
  12. Wan, C; Chang, W; Zhang, Y; Shah, F; Lu, X; Zang, Y; Zhang, A; Cao, S; Fishel, ML; Ma, Q; Zhang, C, LTMG: a novel statistical modeling of transcriptional expression states in single-cell RNA-Seq data, Nucleic Acids Research, vol. 47 no. 18 (October, 2019), pp. e111-e111, Oxford University Press (OUP) [doi]  [abs]
  13. Zhang, A; Han, R, Optimal Sparse Singular Value Decomposition for High-Dimensional High-Order Data, Journal of the American Statistical Association, vol. 114 no. 528 (October, 2019), pp. 1708-1725, Informa UK Limited [doi]
  14. Zhang, A; Brown, LD; Cai, TT, Semi-supervised inference: General theory and estimation of means, The Annals of Statistics, vol. 47 no. 5 (October, 2019), Institute of Mathematical Statistics [doi]
  15. Zhang, A, Cross: Efficient low-rank tensor completion, The Annals of Statistics, vol. 47 no. 2 (April, 2019), Institute of Mathematical Statistics [doi]
  16. Zhang, A; Xia, D, Tensor SVD: Statistical and Computational Limits, IEEE Transactions on Information Theory, vol. 64 no. 11 (November, 2018), pp. 7311-7338, Institute of Electrical and Electronics Engineers (IEEE) [doi]
  17. Zhou, Q; Ernst, PA; Morgan, KL; Rubin, DB; Zhang, A, Sequential rerandomization, Biometrika, vol. 105 no. 3 (September, 2018), pp. 745-752, Oxford University Press (OUP) [doi]
  18. Cai, TT; Zhang, A, Rate-optimal perturbation bounds for singular subspaces with applications to high-dimensional statistics, The Annals of Statistics, vol. 46 no. 1 (February, 2018), Institute of Mathematical Statistics [doi]
  19. Cai, TT; Zhang, A, Minimax rate-optimal estimation of high-dimensional covariance matrices with incomplete data, Journal of Multivariate Analysis, vol. 150 (September, 2016), pp. 55-74, Elsevier BV [doi]
  20. Shi, P; Zhang, A; Li, H, Regression analysis for microbiome compositional data, The Annals of Applied Statistics, vol. 10 no. 2 (June, 2016), Institute of Mathematical Statistics [doi]
  21. Cai, T; Cai, TT; Zhang, A, Structured Matrix Completion with Applications to Genomic Data Integration, Journal of the American Statistical Association, vol. 111 no. 514 (April, 2016), pp. 621-633, Informa UK Limited [doi]
  22. Kang, H; Zhang, A; Cai, TT; Small, DS, Instrumental Variables Estimation With Some Invalid Instruments and its Application to Mendelian Randomization, Journal of the American Statistical Association, vol. 111 no. 513 (January, 2016), pp. 132-144, Informa UK Limited [doi]
  23. Cai, TT; Zhang, A, Inference for high-dimensional differential correlation matrices, Journal of Multivariate Analysis, vol. 143 (January, 2016), pp. 107-126, Elsevier BV [doi]
  24. Cai, TT; Zhang, A, ROP: Matrix recovery via rank-one projections, The Annals of Statistics, vol. 43 no. 1 (February, 2015), Institute of Mathematical Statistics [doi]
  25. Cai, TT; Zhang, A, Sparse Representation of a Polytope and Recovery of Sparse Signals and Low-Rank Matrices, IEEE Transactions on Information Theory, vol. 60 no. 1 (January, 2014), pp. 122-132, Institute of Electrical and Electronics Engineers (IEEE) [doi]
  26. Cai, TT; Zhang, A, Sharp RIP bound for sparse signal and low-rank matrix recovery, Applied and Computational Harmonic Analysis, vol. 35 no. 1 (July, 2013), pp. 74-93, Elsevier BV [doi]
  27. Cai, TT; Zhang, A, Compressed Sensing and Affine Rank Minimization Under Restricted Isometry, IEEE Transactions on Signal Processing, vol. 61 no. 13 (July, 2013), pp. 3279-3290, Institute of Electrical and Electronics Engineers (IEEE) [doi]

 

dept@math.duke.edu
ph: 919.660.2800
fax: 919.660.2821

Mathematics Department
Duke University, Box 90320
Durham, NC 27708-0320


x