Hung, N. Y. T.⋈, Lin, L.-H.†, and Calhoun, V. D. (2026+). Deep P-spline: Theory, fast tuning, and application. Journal of the American Statistical Association, accepted.
Imbachi-Ordoñez, S.⋈, Hung, Y.-T.⋈, McPeak, K., Eggleston, G., and Lin, L.-H.† (2026+). Improving sugarcane extraneous matter prediction using transformed near-infrared spectral data and functional regression. Journal of Agricultural, Biological, and Environmental Statistics, accepted.
Cao, Y.⋈, Feng, X., Lin, L.-H., Wei, N., and Tan, J. (2025). Revisiting competitive outcomes through a trait lens: A global meta-analysis across species provenance. Nature Communications, 10639.
Tseng, C.-Y., Li, J., Lin, L.-H., Wang, K., White, C. C., and Wang, B. (2025). Deep reinforcement learning approach for dynamic capacity planning in decentralized regenerative medicine supply chains. International Journal of Production Research, 63, 555–570.
Chen, T.⋈, Habans, R., Douthat, T., Losh, J., Chalangar Jalili Dehkharghani, L.⋈, and Lin, L.-H.† (2025). Exact inference for transformed large-scale varying coefficient models with applications. Journal of Data Science, 23, 353–369.
Lin, L.-H.† and Huang, L.-S. (2024). Yakovlev promotion time cure model with local polynomial estimation. Statistics in Biosciences, 16, 824–853.
Suh, N., Lin, L.-H.†, and Huo, X. (2024). High-dimensional multivariate linear regression with weighted nuclear norm regularization. Journal of Computational and Graphical Statistics, 33, 1264–1275.
Enriquez, J. P., Salgado, H.⋈, Kuetsinya, C.⋈, Lin, L.-H., and Gollub, E. (2024). Transformative insights: Break Up with Salt (BUWS) program’s short-term influence on hypertension risk factors. International Journal of Environmental Research and Public Health, 21, 309.
Tseng, C.-Y., Wang, K., Lin, L.-H., Zhang, C., White III, C. C., and Wang, B. (2024). Advancing autologous CAR T-cell therapy through real-time patient health data integration: A simulation-based approach. Cytotherapy, 26, 1152–1162.
Hung, Y., Lin, L.-H., and Wu, C. F. J. (2023). Optimal simulator selection. Journal of the American Statistical Association, 118, 1264–1271.
Guo, B., Zang, Y., Lin, L.-H., and Zhang, R. (2023). A Bayesian Phase I/II design to determine subgroup-specific optimal dose for immunotherapy sequentially combined with radiotherapy. Pharmaceutical Statistics, 22, 143–161.
Lin, L.-H., Han, Y., Zhang, R., and Guo, B. (2023). Biomarker-based precision dose finding for immunotherapy combined with radiotherapy. Biometrical Journal, 65, 2200246.
Chen, J., Setia, G., Lin, L.-H., Sun, Q., and Husseneder, C. (2023). Weight and protozoa number but not bacteria diversity are associated with successful pair formation of dealates in the Formosan subterranean termite, Coptotermes formosanus. PLOS ONE, 18, e0293813.
Morgan, J. D., Douthat, T., and Lin, L.-H. (2023). On the geographic balance of risk and amenity: Changes in evacuation zones and their ripples in housing prices in Pinellas County, FL. Papers in Applied Geography, 9, 49–69.
Hung, Y., Lin, L.-H., and Wu, C. F. J. (2022). Varying coefficient frailty models with applications in single-molecule experiments. Biometrics, 78, 474–486.
Lin, L.-H. and Joseph, V. R. (2020). Transformation and additivity in Gaussian processes. Technometrics, 62, 525–535.
Chang, M., Lin, L.-H., Romberg, J., and Raychowdhury, A. (2020). OPTIMO: A 65nm 279GOPS/W 16b programmable spatial-array processor with on-chip network for solving distributed optimizations via the alternating direction method of multipliers. IEEE Journal of Solid-State Circuits, 55, 629–637.
Hsu, S.-H., Huang, Y.-Y., Wu, Y.-d., Yang, K., Lin, L.-H., and Milor, L. (2020). Optimal sampling for accelerated testing in 14nm FinFET ring oscillators. Microelectronics Reliability, 114, 113753.
Hsu, S.-H., Huang, Y.-Y., Wu, Y.-d., Yang, K., Lin, L.-H., and Milor, L. (2020). Extraction of wearout model parameters using on-line test of an SRAM. Microelectronics Reliability, 114, 113756.
Lin, L.-H.† and Huang, L.-S. (2019). Connections between cure rates and survival probabilities in proportional hazards models. Stat, 8, e255.
Chang, M., Lin, L.-H., Romberg, J., and Raychowdhury, A. (2019). Optimo: A 65nm 270MHz 143.2mW programmable spatial-array processor with a hierarchical multi-cast on-chip network for solving distributed optimizations. 2019 IEEE Custom Integrated Circuits Conference (CICC), 1–4.
Li, Y., Wang, X. J., Mak, S., Yeh, S.-T., Lin, L.-H., Wu, C. F. J., and Yang, V. (2017). A two-stage transfer function identification methodology and its applications to bi-swirl injectors. Proceedings of the 53rd AIAA/SAE/ASEE Joint Propulsion Conference, 1187–1197.
Submitted
Legend: † Corresponding author; ⋈ Student author
Hung, N. Y. T.⋈, Lin, L.-H.†, and Calhoun, V. D. (2026+). Sparse deep additive models with interactions: Enhancing interpretability and predictability.
Chalangar Jalili Dehkharghani, L.⋈ and Lin, L.-H.† (2026+). Scalable and communication-efficient varying coefficient mixed effect models: Methodology, theory, and applications.
Williams, F. and Lin, L.-H. (2026+). Classification of great ape and hominin maxillary molars using the readjusted Arizona State University Dental Anthropology System.
Han, R.⋈ and Lin, L.-H. (2026+). State-matched sequence conformal prediction.
Han, R. H.⋈, Lin, L.-H., and Qin, G. S. (2026+). Proxy-assisted weighted conformal prediction for selectively observed medical outcomes.
(Date of Last update: May 2026)
1. Lin, L.-H. (2015). Cure Rate Models with Local Polynomial Estimation (Master Thesis), National Tsing-Hua University, Hsinchu, Taiwan.
2. Lin, L.-H. (2020). Computer and Biological Experiments: Modeling, Estimation, and Uncertainty Quantification (Ph.D. thesis), Georgia Institute of Technology.