Wei Wu

According to our database, Wei Wu authored at least 21 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A novel point process model for neuronal spike trains.

Yijia Ma, Wei Wu

Frontiers Appl. Math. Stat., 2024

A stochastic process representation for time warping functions.

Yijia Ma, Xinyu Zhou, Wei Wu

Comput. Stat. Data Anal., 2024

2023

Statistical depth for point process via the isometric log-ratio transformation.

Xinyu Zhou, Yijia Ma, Wei Wu

Comput. Stat. Data Anal., November, 2023

2022

Rank-Based Mixture Models for Temporal Point Processes.

Yang Chen, Yijia Ma, Wei Wu

Frontiers Appl. Math. Stat., 2022

A unified framework on defining depth for point process using function smoothing.

Zishen Xu, Chenran Wang, Wei Wu

Comput. Stat. Data Anal., 2022

Data-Driven, Soft Alignment of Functional Data Using Shapes and Landmarks.

Xiaoyang Guo, Wei Wu, Anuj Srivastava

CoRR, 2022

A reinforcement learning approach for protein-ligand binding pose prediction.

Chenran Wang, Yang Chen, Yuan Zhang, Keqiao Li, Menghan Lin, Feng Pan, Wei Wu, Jinfeng Zhang

BMC Bioinform., 2022

2021

Intensity Estimation for Poisson Process With Compositional Noise.

Glenna Schluck, Wei Wu, Anuj Srivastava

Frontiers Appl. Math. Stat., 2021

2020

Regression models using shapes of functions as predictors.

Kyungmin Ahn, J. Derek Tucker, Wei Wu, Anuj Srivastava

Comput. Stat. Data Anal., 2020

2018

Robust template estimation for functional data with phase variability using band depth.

Jason Cleveland, Weilong Zhao, Wei Wu

Comput. Stat. Data Anal., 2018

Elastic Handling of Predictor Phase in Functional Regression Models.

Kyungmin Ahn, J. Derek Tucker, Wei Wu, Anuj Srivastava

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

SRSF shape analysis for sequencing data reveal new differentiating patterns.

Sergiusz Wesolowski, Daniel Vera, Wei Wu

Comput. Biol. Chem., 2017

2014

Modeling and Analysis of Neural Spike Trains.

Wei Wu, Asohan Amarasingham, Zhe (Sage) Chen, Sung-Phil Kim

Comput. Intell. Neurosci., 2014

2013

Estimating summary statistics in the spike-train space.

Wei Wu, Anuj Srivastava

J. Comput. Neurosci., 2013

Generative models for functional data using phase and amplitude separation.

J. Derek Tucker, Wei Wu, Anuj Srivastava

Comput. Stat. Data Anal., 2013

An efficient multiple protein structure comparison method and its application to structure clustering and outlier detection.

Wei Wu, Anuj Srivastava, Jose Laborde, Jinfeng Zhang

Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012

Coupling time decoding and trajectory decoding using a target-included model in the motor cortex.

Vernon Lawhern, Nicholas G. Hatsopoulos, Wei Wu

Neurocomputing, 2012

Estimation of a mean template from spike-train data.

Wei Wu, Anuj Srivastava

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

An information-geometric framework for statistical inferences in the neural spike train space.

Wei Wu, Anuj Srivastava

J. Comput. Neurosci., 2011

Signal Estimation Under Random Time-Warpings and Nonlinear Signal Alignment.

Sebastian Kurtek, Anuj Srivastava, Wei Wu

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010

A new look at state-space models for neural data.

Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreira, Shinsuke Koyama, Kamiar Rahnama Rad, Michael Vidne, Joshua T. Vogelstein, Wei Wu

J. Comput. Neurosci., 2010