Wei Wu

Florida State University — United States

Engineering · Physical Sciences

20h-index1.5kcitations106works0.62yr avg
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Research Topics

Advancements in Photolithography Techniques(25), Integrated Circuits and Semiconductor Failure Analysis(22), Animal Behavior and Reproduction(13), Animal Vocal Communication and Behavior(13), Marine animal studies overview(11)

Publications106 total

Hypothesis Tests for Comparing Point Processes
Mathematics·2026Open Access
A Multi-Model Machine Learning Framework Identifies Resistance-Associated Biomarkers in Axicabtagene Ciloleucel CAR T-Cell Therapy for Large B-Cell Lymphoma
International Journal of Radiation Oncology*Biology*Physics·2025
<scp>DisDock</scp> : A Deep Learning Method for Metal Ion‐Protein Redocking
Proteins Structure Function and Bioinformatics·2025· 1 cited
A new framework for Bayesian function registration
Electronic Journal of Statistics·2025Open Access
A Hippocampal-parietal Network for Reference Frame Coordination
2024Open Access
Are made and missed different? An analysis of field goal attempts of professional basketball players via depth based testing procedure
The Annals of Applied Statistics·2024· 2 cited
Depth-based statistical analysis in the spike train space
Journal of Applied Statistics·2024Open Access
A novel point process model for neuronal spike trains
Frontiers in Applied Mathematics and Statistics·2024· 1 citedOpen Access
A stochastic process representation for time warping functions
Computational Statistics & Data Analysis·2024· 3 cited
Statistical Depth in Spatial Point Process
Mathematics·2024Open Access
Model-based statistical depth for matrix data
Statistics and Its Interface·2024
DisDock: A Deep Learning Method for Metal Ion-Protein Redocking
2023Open Access
A thalamo‐parietal cortex circuit is critical for place‐action coordination
Hippocampus·2023· 3 citedOpen Access
Statistical depth for point process via the isometric log-ratio transformation
Computational Statistics & Data Analysis·2023· 4 citedOpen Access
Model-based statistical depth with applications to functional data
Journal of nonparametric statistics·2023
A reinforcement learning approach for protein–ligand binding pose prediction
BMC Bioinformatics·2022· 23 citedOpen Access
Rank-Based Mixture Models for Temporal Point Processes
Frontiers in Applied Mathematics and Statistics·2022· 1 citedOpen Access
Removing nonlinear misalignment in neuronal spike trains using the Fisher-Rao registration framework
Journal of Neuroscience Methods·2021
Intensity Estimation for Poisson Process With Compositional Noise
Frontiers in Applied Mathematics and Statistics·2021Open Access
Tau Pathology Profile Across a Parietal-Hippocampal Brain Network Is Associated With Spatial Reorientation Learning and Memory Performance in the 3xTg-AD Mouse
Frontiers in Aging·2021· 11 citedOpen Access
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Frequent Co-authors

Anuj Srivastava(12), Richard Bertram(12), Frank Johnson(12), Richard L. Hyson(7), James D. Tucker(4), Aaron A. Wilber(4), S.M. Csutak(4), J.D. Schaub(4), Joe C. Campbell(4), Jinfeng Zhang(3), John A. Thompson(3), Kevin C. Elliott(3), Will Conley(3), Lloyd C. Litt(3), Yuan Zhang(2), Chenran Wang(2), Sebastian Kurtek(2), R. Shimer(2), Mark J. Basista(2), Zishen Xu(2)