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Projects
Recent Publications
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
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
VtNet: A neural network with variable importance assessment
Zhang, L., Lin, L. & Li, J., Dec 2021, In: Stat. 10, 1, e325.Research output: Contribution to journal › Article › peer-review
Aggregated Wasserstein Distance and State Registration for Hidden Markov Models
Chen, Y., Ye, J. & Li, J., Sep 1 2020, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 42, 9, p. 2133-2147 15 p., 8678434.Research output: Contribution to journal › Article › peer-review