Lijing Wang

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20172024

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  • Challenges of COVID-19 Case Forecasting in the US, 2020–2021

    Lopez, V. K., Cramer, E. Y., Pagano, R., Drake, J. M., O’Dea, E. B., Adee, M., Ayer, T., Chhatwal, J., Dalgic, O. O., Ladd, M. A., Linas, B. P., Mueller, P. P., Xiao, J., Bracher, J., Castro Rivadeneira, A. J., Gerding, A., Gneiting, T., Huang, Y., Jayawardena, D. & Kanji, A. H. & 89 others, Le, K., Mühlemann, A., Niemi, J., Ray, E. L., Stark, A., Wang, Y., Wattanachit, N., Zorn, M. W., Pei, S., Shaman, J., Yamana, T. K., Tarasewicz, S. R., Wilson, D. J., Baccam, S., Gurung, H., Stage, S., Suchoski, B., Gao, L., Gu, Z., Kim, M., Li, X., Wang, G., Wang, L., Wang, Y., Yu, S., Gardner, L., Jindal, S., Marshall, M., Nixon, K., Dent, J., Hill, A. L., Kaminsky, J., Lee, E. C., Lemaitre, J. C., Lessler, J., Smith, C. P., Truelove, S., Kinsey, M., Mullany, L. C., Rainwater-Lovett, K., Shin, L., Tallaksen, K., Wilson, S., Karlen, D., Castro, L., Fairchild, G., Michaud, I., Osthus, D., Bian, J., Cao, W., Gao, Z., Ferres, J. L., Li, C., Liu, T. Y., Xie, X., Zhang, S., Zheng, S., Chinazzi, M., Davis, J. T., Mu, K., y Piontti, A. P., Vespignani, A., Xiong, X., Walraven, R., Chen, J., Gu, Q., Wang, L., Xu, P., Zhang, W., Zou, D., Gibson, G. C., Sheldon, D., Srivastava, A., Adiga, A., Hurt, B., Kaur, G., Lewis, B., Marathe, M., Peddireddy, A. S., Porebski, P., Venkatramanan, S., Wang, L., Prasad, P. V., Walker, J. W., Webber, A. E., Slayton, R. B., Biggerstaff, M., Reich, N. G. & Johansson, M. A., May 2024, In: PLoS computational biology. 20, 5 May, e1011200.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    6 Scopus citations
  • A computable case definition for patients with SARS-CoV2 testing that occurred outside the hospital

    Wang, L., Zipursky, A. R., Geva, A., McMurry, A. J., Mandl, K. D. & Miller, T. A., Oct 1 2023, In: JAMIA Open. 6, 3, ooad047.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    1 Scopus citations
  • Phase-Informed Bayesian Ensemble Models Improve Performance of COVID-19 Forecasts

    Adiga, A., Kaur, G., Wang, L., Hurt, B., Porebski, P., Venkatramanan, S., Lewis, B. & Marathe, M., Jun 27 2023, AAAI-23 Special Programs, IAAI-23, EAAI-23, Student Papers and Demonstrations. Williams, B., Chen, Y. & Neville, J. (eds.). AAAI press, p. 15647-15653 7 p. (Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023; vol. 37).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    2 Scopus citations
  • Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations

    Sherratt, K., Gruson, H., Grah, R., Johnson, H., Niehus, R., Prasse, B., Sandmann, F., Deuschel, J., Wolffram, D., Abbott, S., Ullrich, A., Gibson, G., Ray, E. L., Reich, N. G., Sheldon, D., Wang, Y., Wattanachit, N., Wang, L., Trnka, J. & Obozinski, G. & 109 others, Sun, T., Thanou, D., Pottier, L., Krymova, E., Meinke, J. H., Barbarossa, M. V., Leithauser, N., Mohring, J., Schneider, J., Wlazlo, J., Fuhrmann, J., Lange, B., Rodiah, I., Baccam, P., Gurung, H., Stage, S., Suchoski, B., Budzinski, J., Walraven, R., Villanueva, I., Tucek, V., Smid, M., Zajicek, M., Perez Alvarez, C., Reina, B., Bosse, N. I., Meakin, S. R., Castro, L., Fairchild, G., Michaud, I., Osthus, D., Alaimo Di Loro, P., Maruotti, A., Eclerova, V., Kraus, A., Kraus, D., Pribylova, L., Dimitris, B., Li, M. L., Saksham, S., Dehning, J., Mohr, S., Priesemann, V., Redlarski, G., Bejar, B., Ardenghi, G., Parolini, N., Ziarelli, G., Bock, W., Heyder, S., Hotz, T., Singh, D. E., Guzman-Merino, M., Aznarte, J. L., Morina, D., Alonso, S., Alvarez, E., Lopez, D., Prats, C., Burgard, J. P., Rodloff, A., Zimmermann, T., Kuhlmann, A., Zibert, J., Pennoni, F., Divino, F., Catala, M., Lovison, G., Giudici, P., Tarantino, B., Bartolucci, F., Jona Lasinio, G., Mingione, M., Farcomeni, A., Srivastava, A., Montero-Manso, P., Adiga, A., Hurt, B., Lewis, B., Marathe, M., Porebski, P., Venkatramanan, S., Bartczuk, R. P., Dreger, F., Gambin, A., Gogolewski, K., Gruziel-Slomka, M., Krupa, B., Moszyński, A., Niedzielewski, K., Nowosielski, J., Radwan, M., Rakowski, F., Semeniuk, M., Szczurek, E., Zielinski, J., Kisielewski, J., Pabjan, B., Holger, K., Kheifetz, Y., Scholz, M., Przemyslaw, B., Bodych, M., Filinski, M., Idzikowski, R., Krueger, T., Ozanski, T., Bracher, J. & Funk, S., Apr 21 2023, In: eLife. 12

    Research output: Contribution to journalArticlepeer-review

    Open Access
    27 Scopus citations
  • Two-Stage Fine-Tuning for Improved Bias and Variance for Large Pretrained Language Models

    Wang, L., Li, Y., Miller, T., Bethard, S. & Savova, G., 2023, Long Papers. Association for Computational Linguistics (ACL), p. 15746-15761 16 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Scopus citations