Research

Publications

  • Wang, L., & Zhao, H. (2024). Comments on “Data fission: splitting a single data point” by James Leiner, Boyan Duan, Larry Wasserman, and Aaditya Ramdas. Journal of the American Statistical Association, to appear.
  • Wang, L., Lin, Y., & Zhao, H. (2024). False Discovery Rate Control via Data Splitting for Testing-after-Clustering (arXiv:2410.06451).
  • Wang, L., Wu, P., Liu, Y., Patel, D. C., Leonard, T. B., & Zhao, H. (2024). Clustering-aided prediction of outcomes in patients with idiopathic pulmonary fibrosis. Respiratory Research, 25(1), 383. https://doi.org/10.1186/s12931-024-03015-6
  • Wang, L., Fan, X., Zhao, H., & Liu, J. S. (2024). Decomposition with Monotone B-splines: Fitting and Testing (arXiv:2401.06383).
  • Wang, L., Fan, X., Li, H., & Liu, J. S. (2024). Monotone Cubic B-Splines with a Neural-Network Generator. Journal of Computational and Graphical Statistics, to appear.
  • Wang, L., Zhao, H., & Fan, X. (2024). Degrees of Freedom: Search Cost and Self-consistency. Journal of Computational and Graphical Statistics, to appear. https://doi.org/10.1080/10618600.2024.2388545
  • Wang, L., Cao, Z., Fan, X., & Li, H. (2024). Polarization Holes as an Indicator of Magnetic Field−Angular Momentum Alignment. I. Initial Tests. The Astrophysical Journal, 966(2), 237. https://doi.org/10.3847/1538-4357/ad3734
  • Zhang, D., Rodríguez-Kirby, L. A. R., Lin, Y., Song, M., Wang, L., Wang, L., Kanatani, S., Jimenez-Beristain, T., Dang, Y., Zhong, M., Kukanja, P., Wang, S., Chen, X. L., Gao, F., Wang, D., Xu, H., Lou, X., Liu, Y., Chen, J., Sestan, N., Uhlén, P., Kriegstein, A., Zhao, H., Castelo-Branco, G., Fan, R. (2024). Spatial dynamics of mammalian brain development and neuroinflammation by multimodal tri-omics mapping. bioRxiv. https://doi.org/10.1101/2024.07.28.605493
  • Song, S., Wang, L., Hou, L., & Liu, J. S. (2024). Partitioning and aggregating cross-tissue and tissue-specific genetic effects to identify gene-trait associations. Nature Communications, 15(1), 5769. https://doi.org/10.1038/s41467-024-49924-4
  • Du, J., Wang, C., Wang, L., Mao, S., Zhu, B., Li, Z., & Fan, X. (2023). Automatic block-wise genotype-phenotype association detection based on hidden Markov model. BMC Bioinformatics, 24(1), 138. https://doi.org/10.1186/s12859-023-05265-5
  • Wang, L., Zhu, Y., Shi, J., & Fan, X. (2021). Appearance-free Tripartite Matching for Multiple Object Tracking (arXiv:2008.03628).
  • Wang, L., Ahsan, M. A., & Chen, M. (2017). A generalized approach for measuring relationships among genes. Journal of Integrative Bioinformatics, 14(3). https://doi.org/10.1515/jib-2017-0026

Presentations

  • Decomposition with Monotone B-splines: Fitting and Testing. (2024, Aug 06). 2024 Joint Statistical Meetings (JSM). Portland, OR, US.
  • False Discovery Rate Control via Data Splitting for Clustering. (2024, May 23). The 37th New England Statistics Symposium. UConn, CT, US.
  • earth.dof.patch: an R package for Correcting Degrees of Freedom of Multivariate Adaptive Regression Splines. (2023, Nov 28). The 16th China-R Conference & 2023 X-AGI Conference 第16届中国R会议暨2023X-AGI大会
  • Appearance-free tripartite matching for multiple object tracking. (2021, Jul 6). The First Zhuhai–Hong Kong–Macao Forum on Statistics and Data Science (Virtual).
  • Appearance-free tripartite matching for multiple object tracking [Poster]. (2020, Dec 14). ICSA 2020 Applied Statistics Symposium (Virtual).
  • Dynamic programming for multiple object tracking using tripartite matching [Prerecorded talk with Live discussion]. (2020, August 28). Bernoulli-IMS One World Symposium 2020 (Virtual).