Lin, L.-H.† and Huang, L.-S. (2019). Connections Between Cure Rates and Survival Probabilities in Proportional Hazards Models. Stat, 8, e255.
Lin, L.-H. and Joseph, V.R. (2020). Transformation and Additivity in Gaussian Processes, Technometric, 62, 525-535. DOI:10.1080/00401706.2019.1665592.
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, Journal of Solid State Circuits, 55, 629-638.
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.
Hung, Y.*, Lin, L.-H.*, and Wu, C. F. J. (2022). Varying Coefficient Frailty Models with Applications in Single Molecular Experiments, Biometrics, 78, 474-486.
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.
Hung, Y.*, Lin, L.-H.*, and Wu, C. F. J. (2023+). Optimal Simulator Selection, Journal of the American Statistical Association, Accepted.
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, to appear.
Lin, L.-H., Han, Y., Zhang, R., Guo, B., Biomarker‐based precision dose finding for immunotherapy combined with radiotherapy, Biometrical Journal, to appear.
Tseng, C.-Y, Li, J., Lin, L.-h., Wang, K., White, C. C., Wang, B. Deep reinforcement learning approach for dynamic capacity planning in decentralised regenerative medicine supply chains, International Journal of Production Research, to appear.
Lin, L.-H.† and Huang, L.-S. (2024+). Yakovlev Promotion Time Cure Model with Local Polynomial Estimation, Statistics in Biosciences, Accepted.
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, Accepted
* Joint first authors.
† Corresponding Authors
(Date of Last update: Sept 2023)
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, pages 1187–1197.
Chang, M., Lin, L.-H., Romberg, J., and Raychowdhury, A. (2019). Optimo: A 65nm 270mhz 143.2 mw programmable spatial-array-processor with a hierarchical multi-cast on-chip network for solving distributed optimizations, 2019 IEEE Custom Integrated Circuits Conference (CICC), pages 1–4.
Lin, L.-H. and Huang, L.-S. (2021+). Yakovlev Promotion Time Cure Model with Local Polynomial Estimation.
Zhong, Z., Lin, L.-H., Gou, B., and Huo, X. (2021+). Solving Power Flow Equations Using a Weighted Nuclear Norm.
Lin, L.-H. and Joseph, V.R. (2020+). Transformation and Additivity for Modeling Big Data.
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.