Lingxiao Wang

EmailLW324njitedu

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10 Conference contribution
10 Conference article
5 Paper
5 Article

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
16 Link opens in a new tab Scopus citations
The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication
Patel, K. K., Glasgow, M., Zindari, A., Wang, L., Stich, S. U., Cheng, Z., Joshi, N. & Srebro, N., 2024, In: Proceedings of Machine Learning Research. 247, p. 4115-4157 43 p.
Research output: Contribution to journal › Conference article › peer-review
6 Link opens in a new tab Scopus citations
Differentially Private Matrix Completion through Low-rank Matrix Factorization
Wang, L., Zhao, B. & Kolar, M., 2023, In: Proceedings of Machine Learning Research. 206, p. 5731-5748 18 p.
Research output: Contribution to journal › Conference article › peer-review
Efficient Privacy-Preserving Stochastic Nonconvex Optimization
Wang, L., Jayaraman, B., Evans, D. & Gu, Q., 2023, In: Proceedings of Machine Learning Research. 216, p. 2203-2213 11 p.
Research output: Contribution to journal › Conference article › peer-review
12 Link opens in a new tab Scopus citations
Federated Online and Bandit Convex Optimization
Patel, K. K., Wang, L., Saha, A. & Srebro, N., 2023, In: Proceedings of Machine Learning Research. 202, p. 27439-27460 22 p.
Research output: Contribution to journal › Conference article › peer-review
8 Link opens in a new tab Scopus citations

Seminar: Design and Analysis of Two-Phase Biomarker Studies
Wang, L.
11/9/25
1 item of Media coverage
Press/Media: Press / Media
University of Virginia Researcher Describes Research in Lung Cancer (Data-integration with pseudoweights and survey-calibration: application to developing US-representative lung cancer risk models for use in screening)
Wang, L.
7/30/24
1 item of Media coverage
Press/Media: Press / Media
DISCOVERY OF UNKNOWN BRAIN-REPAIR PROCESS COULD LEAD TO NEW EPILEPSY TREATMENTS
Wang, L.
7/22/21 → 7/24/21
3 items of Media coverage
Press/Media: Press / Media
Brain-repair discovery could lead to new epilepsy treatments
Wang, L.
7/23/21
5 items of Media coverage
Press/Media: Press / Media
Brain-Repair Process Could Lead to New Epilepsy Treatments
Wang, L.
7/22/21
1 item of Media coverage
Press/Media: Press / Media

Lingxiao Wang

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

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

The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication

Differentially Private Matrix Completion through Low-rank Matrix Factorization

Efficient Privacy-Preserving Stochastic Nonconvex Optimization

Federated Online and Bandit Convex Optimization

Seminar: Design and Analysis of Two-Phase Biomarker Studies

University of Virginia Researcher Describes Research in Lung Cancer (Data-integration with pseudoweights and survey-calibration: application to developing US-representative lung cancer risk models for use in screening)

DISCOVERY OF UNKNOWN BRAIN-REPAIR PROCESS COULD LEAD TO NEW EPILEPSY TREATMENTS

Brain-repair discovery could lead to new epilepsy treatments

Brain-Repair Process Could Lead to New Epilepsy Treatments

Lingxiao Wang

Fingerprint

Collaborations and top research areas from the last five years

Research output

Press/Media