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Personal profile

Education/Academic qualification

Astrophysical Sciences, PhD, Princeton University

Sep 2006Aug 31 2010

Award Date: Sep 27 2010

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Research Output

Active Galactic Nucleus Pairs from the Sloan Digital Sky Survey. III. Chandra X-Ray Observations Unveil Obscured Double Nuclei

Hou, M., Liu, X., Guo, H., Li, Z., Shen, Y. & Green, P. J., Sep 1 2019, In : Astrophysical Journal. 882, 1, 41.

Research output: Contribution to journalArticle

  • Constraining sub-parsec binary supermassive black holes in quasars with multi-epoch spectroscopy – III. Candidates from continued radial velocity tests

    Guo, H., Liu, X., Shen, Y., Loeb, A., Monroe, T. & Prochaska, J. X., Jan 1 2019, In : Monthly Notices of the Royal Astronomical Society. 482, 3, p. 3288-3307 20 p.

    Research output: Contribution to journalArticle

  • Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era

    Allen, G., Andreoni, I., Bachelet, E., Berriman, G. B., Bianco, F. B., Biswas, R., Kind, M. C., Chard, K., Cho, M., Cowperthwaite, P. S., Etienne, Z. B., George, D., Gibbs, T., Graham, M., Gropp, W., Gupta, A., Haas, R., Huerta, E. A., Jennings, E., Katz, D. S. & 28 others, Khan, A., Kindratenko, V., Kramer, W. T. C., Liu, X., Mahabal, A., McHenry, K., Miller, J. M., Neubauer, M. S., Oberlin, S., Jr, A. R. O., Rosofsky, S., Ruiz, M., Saxton, A., Schutz, B., Schwing, A., Seidel, E., Shapiro, S. L., Shen, H., Shen, Y., Sipőcz, B. M., Sun, L., Towns, J., Tsokaros, A., Wei, W., Wells, J., Williams, T. J., Xiong, J. & Zhao, Z., Feb 1 2019, 15 p.

    Research output: Book/ReportCommissioned report

  • Discovery of an Mg II Changing-look Active Galactic Nucleus and Its Implications for a Unification Sequence of Changing-look Active Galactic Nuclei

    Guo, H., Sun, M., Liu, X., Wang, T., Kong, M., Wang, S., Sheng, Z. & He, Z., Oct 1 2019, In : Astrophysical Journal Letters. 883, 2, L44.

    Research output: Contribution to journalArticle

  • Enabling real-time multi-messenger astrophysics discoveries with deep learning

    Huerta, E. A., Allen, G., Andreoni, I., Antelis, J. M., Bachelet, E., Berriman, G. B., Bianco, F. B., Biswas, R., Carrasco kind, M., Chard, K., Cho, M., Cowperthwaite, P. S., Etienne, Z. B., Fishbach, M., Forster, F., George, D., Gibbs, T., Graham, M., Gropp, W., Gruendl, R. & 40 others, Gupta, A., Haas, R., Habib, S., Jennings, E., Johnson, M. W. G., Katsavounidis, E., Katz, D. S., Khan, A., Kindratenko, V., Kramer, W. T. C., Liu, X., Mahabal, A., Marka, Z., Mchenry, K., Miller, J. M., Moreno, C., Neubauer, M. S., Oberlin, S., Olivas, A. R., Petravick, D., Rebei, A., Rosofsky, S., Ruiz, M., Saxton, A., Schutz, B. F., Schwing, A., Seidel, E., Shapiro, S. L., Shen, H., Shen, Y., Singer, L. P., Sipocz, B. M., Sun, L., Towns, J., Tsokaros, A., Wei, W., Wells, J., Williams, T. J., Xiong, J. & Zhao, Z., Oct 1 2019, In : Nature Reviews Physics. 1, 10, p. 600-608

    Research output: Contribution to journalArticle