Dr. HE Xin (賀莘)

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Research Output

  1. 2022
  2. Published

    Directed Community Detection With Network Embedding

    Zhang, J., He, X. & Wang, J., Dec 2022, In: Journal of the American Statistical Association. 117, 540, p. 1809-1819

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 25
    Check@CityULib
  3. Published

    Learning linear non-Gaussian directed acyclic graph with diverging number of nodes

    Zhao, R., He, X. & Wang, J., 2022, In: Journal of Machine Learning Research. 23, 269.

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 4
    Check@CityULib
  4. 2020
  5. Published

    VARIABLE SELECTION FOR CLASSIFICATION WITH DERIVATIVE-INDUCED REGULARIZATION

    He, X., Lv, S. & Wang, J., Oct 2020, In: Statistica Sinica. 30, 4, p. 2075-2103

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 3
    Check@CityULib
  6. Published

    Discovering model structure for partially linear models

    He, X. & Wang, J., Feb 2020, In: Annals of the Institute of Statistical Mathematics. 72, 1, p. 45-63

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 4
    Check@CityULib
  7. 2018
  8. Published

    GRADIENT-INDUCED MODEL-FREE VARIABLE SELECTION WITH COMPOSITE QUANTILE REGRESSION

    He, X., Wang, J. & Lv, S., Jul 2018, In: Statistica Sinica. 28, 3, p. 1521-1538

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 3
    Check@CityULib
  9. 2017
  10. Published

    Radiomic machine-learning classifiers for prognostic biomarkers of advanced nasopharyngeal carcinoma

    Zhang, B., He, X., Ouyang, F., Gu, D., Dong, Y., Zhang, L. & Mo, X. & 3 others, Huang, W., Tian, J. & Zhang, S., 10 Sept 2017, In: Cancer Letters. 403, p. 21-27

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 214
    Check@CityULib
  11. Published

    A unified penalized method for sparse additive quantile models: an RKHS approach

    Lv, S., He, X. & Wang, J., Aug 2017, In: Annals of the Institute of Statistical Mathematics. 69, 4, p. 897-923

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 6
    Check@CityULib