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Projects
Recent Publications
GeM-LR: Discovering predictive biomarkers for small datasets in vaccine studies
Lin, L., Spreng, R. L., Seaton, K. E., Moses Dennison, S., Dahora, L. C., Schuster, D. J., Sawant, S., Gilbert, P. B., Fong, Y., Kisalu, N., Pollard, A. J., Tomaras, G. D. & Li, J., Nov 2024, In: PLoS computational biology. 20, 11 November, e1012581.Research output: Contribution to journal › Article › peer-review
Learning Performance Maximizing Ensembles with Explainability Guarantees
Pisztora, V. & Li, J., Mar 25 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 13, p. 14617-14624 8 p.Research output: Contribution to journal › Conference article › peer-review
Explainable machine learning by SEE-Net: closing the gap between interpretable models and DNNs
Seo, B. & Li, J., Dec 2024, In: Scientific reports. 14, 1, 26302.Research output: Contribution to journal › Article › peer-review
A Machine Learning Paradigm for Studying Pictorial Realism: How Accurate are Constable's Clouds?
Zhang, Z., Mansfield, E. C., Li, J., Russell, J., Young, G. S., Adams, C., Bowley, K. A. & Wang, J. Z., Jan 1 2024, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 46, 1, p. 33-42 10 p.Research output: Contribution to journal › Article › peer-review
How Personalist Parties Undermine State Capacity in Democracies
Li, J. & Wright, J., Nov 2023, In: Comparative Political Studies. 56, 13, p. 2030-2065 36 p.Research output: Contribution to journal › Article › peer-review
Multisource single-cell data integration by MAW barycenter for Gaussian mixture models
Lin, L., Shi, W., Ye, J. & Li, J., Jun 2023, In: Biometrics. 79, 2, p. 866-877 12 p.Research output: Contribution to journal › Article › peer-review
Multi-view clustering by CPS-merge analysis with application to multimodal single-cell data
Zhang, L., Lin, L. & Li, J., Apr 2023, In: PLoS computational biology. 19, 4, e1011044.Research output: Contribution to journal › Article › peer-review
Robust deep neural network surrogate models with uncertainty quantification via adversarial training
Zhang, L. & Li, J., Jun 2023, In: Statistical Analysis and Data Mining. 16, 3, p. 295-304 10 p.Research output: Contribution to journal › Article › peer-review
Statistical and machine learning methods for immunoprofiling based on single-cell data
Zhang, J., Li, J. & Lin, L., 2023, In: Human Vaccines and Immunotherapeutics. 19, 2, 2234792.Research output: Contribution to journal › Review article › peer-review
Epsilon Consistent Mixup: Structural regularization with an adaptive consistency-interpolation trade-off
Pisztora, V., Ou, Y., Huang, X., Chiaromonte, F. & Li, J., Dec 2022, In: Stat. 11, 1, e425.Research output: Contribution to journal › Article › peer-review
Applications of the Geometry-Sensitive Ensemble Mean for Lake-Effect Snowbands and Other Weather Phenomena
Seibert, J. J., Greybush, S. J., Li, J., Zhang, Z. & Zhang, F., Feb 2022, In: Monthly Weather Review. 150, 2, p. 409-429 21 p.Research output: Contribution to journal › Article › peer-review
Block-Wise Variable Selection for Clustering Via Latent States of Mixture Models
Seo, B., Lin, L. & Li, J., 2022, In: Journal of Computational and Graphical Statistics. 31, 1, p. 138-150 13 p.Research output: Contribution to journal › Article › peer-review
Mixture of Linear Models Co-supervised by Deep Neural Networks
Seo, B., Lin, L. & Li, J., 2022, In: Journal of Computational and Graphical Statistics. 31, 4, p. 1303-1317 15 p.Research output: Contribution to journal › Article › peer-review
Optimal Transport with Relaxed Marginal Constraints
Li, J. & Lin, L., 2021, In: IEEE Access. 9, p. 58142-58160 19 p., 9400835.Research output: Contribution to journal › Article › peer-review
A fast globally linearly convergent algorithm for the computation of wasserstein barycenters
Yang, L., Li, J., Sun, D. & Toh, K. C., 2021, In: Journal of Machine Learning Research. 22Research output: Contribution to journal › Article › peer-review