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Lijing Wang

Calculated based on number of publications stored in Pure and citations from Scopus
20172024

Research activity per year

  • 12 Conference contribution
  • 8 Article
  • 1 Chapter
  • 1 Conference article

Search results

  • 2024

    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 journal › Article › peer-review

    Open Access
    6 Scopus citations
  • 2023

    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 journal › Article › peer-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 proceeding › Conference 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 journal › Article › peer-review

    Open Access
    28 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 proceeding › Conference contribution

    Open Access
    6 Scopus citations
  • 2022

    AI Techniques for Forecasting Epidemic Dynamics: Theory and Practice

    Adiga, A., Lewis, B., Levin, S., Marathe, M. V., Poor, H. V., Ravi, S. S., Rosenkrantz, D. J., Stearns, R. E., Venkatramanan, S., Vullikanti, A. & Wang, L., Jan 1 2022, Artificial Intelligence in Covid-19. Springer International Publishing, p. 193-228 36 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

    3 Scopus citations

  • CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting

    Wang, L., Adiga, A., Chen, J., Sadilek, A., Venkatramanan, S. & Marathe, M., Jun 30 2022, IAAI-22, EAAI-22, AAAI-22 Special Programs and Special Track, Student Papers and Demonstrations. Association for the Advancement of Artificial Intelligence, p. 12191-12199 9 p. (Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022; vol. 36).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    59 Scopus citations

  • Enhancing COVID-19 Ensemble Forecasting Model Performance Using Auxiliary Data Sources

    Adiga, A., Kaur, G., Hurt, B., Wang, L., Porebski, P., Venkatramanan, S., Lewis, B. & Marathe, M., 2022, Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022. Tsumoto, S., Ohsawa, Y., Chen, L., Van den Poel, D., Hu, X., Motomura, Y., Takagi, T., Wu, L., Xie, Y., Abe, A. & Raghavan, V. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1594-1603 10 p. (Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    6 Scopus citations

  • Ensemble-based Fine-Tuning Strategy for Temporal Relation Extraction from the Clinical Narrative

    Wang, L., Miller, T., Bethard, S. & Savova, G., 2022, ClinicalNLP 2022 - 4th Workshop on Clinical Natural Language Processing, Proceedings. Naumann, T., Bethard, S., Roberts, K. & Rumshisky, A. (eds.). Association for Computational Linguistics (ACL), p. 103-108 6 p. (ClinicalNLP 2022 - 4th Workshop on Clinical Natural Language Processing, Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    4 Scopus citations

  • The United States COVID-19 Forecast Hub dataset

    US COVID-19 Forecast Hub Consortium, Dec 2022, In: Scientific Data. 9, 1, 462.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    49 Scopus citations
  • 2021

    All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting

    Adiga, A., Wang, L., Hurt, B., Peddireddy, A., Porebski, P., Venkatramanan, S., Lewis, B. L. & Marathe, M., Aug 14 2021, KDD 2021 - Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2505-2513 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    17 Scopus citations

  • Cohorting to Isolate asymptomatic spreaders: An agent-based simulation study on the Mumbai Suburban Railway

    Talekar, A., Shriram, S., Vaidhiyan, N., Aggarwal, G., Chen, J., Venkatramanan, S., Wang, L., Adiga, A., Sadilek, A., Tendulkar, A., Marathe, M., Sundaresan, R. & Tambe, M., 2021, 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), p. 1668-1670 3 p. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; vol. 3).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Forecasting influenza activity using machine-learned mobility map

    Venkatramanan, S., Sadilek, A., Fadikar, A., Barrett, C. L., Biggerstaff, M., Chen, J., Dotiwalla, X., Eastham, P., Gipson, B., Higdon, D., Kucuktunc, O., Lieber, A., Lewis, B. L., Reynolds, Z., Vullikanti, A. K., Wang, L. & Marathe, M., Dec 1 2021, In: Nature communications. 12, 1, 726.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    48 Scopus citations

  • Modeling of Future COVID-19 Cases, Hospitalizations, and Deaths, by Vaccination Rates and Nonpharmaceutical Intervention Scenarios — United States, April–September 2021

    Borchering, R. K., Viboud, C., Howerton, E., Smith, C. P., Truelove, S., Runge, M. C., Reich, N. G., Contamin, L., Levander, J., Salerno, J., Panhuis, W. V., Kinsey, M., Tallaksen, K., Obrecht, R. F., Asher, L., Costello, C., Kelbaugh, M., Wilson, S., Shin, L. & Gallagher, M. E. & 40 others, Mullany, L. C., Rainwater-Lovett, K., Lemaitre, J. C., ScM, J. D., Grantz, K. H., Kaminsky, J., Lauer, S. A., Lee, E. C., Meredith, H. R., Perez-Saez, J., Keegan, L. T., Karlen, D., Chinazzi, M., Davis, J. T., Mu, K., Xiong, X., Piontti, A. P. Y., Vespignani, A., Srivastava, A., Porebski, P., Venkatramanan, S., Adiga, A., Lewis, B., Klahn, B., Outten, J., Schlitt, J., Corbett, P., Telionis, P. A., Wang, L., Peddireddy, A. S., Hurt, B., Chen, J., Vullikanti, A., Marathe, M., Healy, J. M., Slayton, R. B., Biggerstaff, M., Johansson, M. A., Shea, K. & Lessler, J., 2021, In: Morbidity and Mortality Weekly Report. 70, 19, p. 719-724 6 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    109 Scopus citations
  • 2020

    Cola-GNN: Cross-location Attention based Graph Neural Networks for Long-term ILI Prediction

    Deng, S., Wang, S., Rangwala, H., Wang, L. & Ning, Y., Oct 19 2020, CIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 245-254 10 p. (International Conference on Information and Knowledge Management, Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    74 Scopus citations

  • Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting

    Wang, L., Adiga, A., Venkatramanan, S., Chen, J., Lewis, B. & Marathe, M., Dec 10 2020, Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020. Wu, X., Jermaine, C., Xiong, L., Hu, X. T., Kotevska, O., Lu, S., Xu, W., Aluru, S., Zhai, C., Al-Masri, E., Chen, Z. & Saltz, J. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 3846-3855 10 p. 9377904. (Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    21 Scopus citations

  • TDEFSI: Theory-guided Deep Learning-based Epidemic Forecasting with Synthetic Information

    Wang, L., Chen, J. & Marathe, M., May 2020, In: ACM Transactions on Spatial Algorithms and Systems. 6, 3, 15.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    21 Scopus citations

  • Wisdom of the ensemble: Improving consistency of deep learning models

    Wang, L., Ghosh, D., Gonzalez Diaz, M. T., Farahat, A., Alam, M., Gupta, C., Chen, J. & Marathe, M., 2020, In: Advances in Neural Information Processing Systems. 2020-December

    Research output: Contribution to journal › Conference article › peer-review

    9 Scopus citations
  • 2019

    A framework for discovering health disparities among cohorts in an influenza epidemic

    Wang, L., Chen, J. & Marathe, A., Nov 1 2019, In: World Wide Web. 22, 6, p. 2997-3020 24 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    5 Scopus citations

  • Defsi: Deep learning based epidemic forecasting with synthetic information

    Wang, L., Chen, J. & Marathe, M., 2019, 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019. AAAI press, p. 9607-9612 6 p. (33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    55 Scopus citations
  • 2018

    Social media based simulation models for understanding disease dynamics

    Hua, T., Reddy, C. K., Zhang, L., Wang, L., Zhao, L., Lu, C. T. & Ramakrishnan, N., 2018, Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018. Lang, J. (ed.). International Joint Conferences on Artificial Intelligence, p. 3797-3804 8 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2018-July).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    5 Scopus citations
  • 2017

    PDGM: Percolation-based directed graph matching in social networks

    Wang, L., Cho, J. H., Chen, I. R. & Chen, J., Jul 28 2017, 2017 IEEE International Conference on Communications, ICC 2017. Debbah, M., Gesbert, D. & Mellouk, A. (eds.). Institute of Electrical and Electronics Engineers Inc., 7996911. (IEEE International Conference on Communications).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    3 Scopus citations