Wei Wu

21 papers Journal 17Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
A novel point process model for neuronal spike trains.
Frontiers Appl. Math. Stat.
Yijia Ma, Wei Wu
2024 J jnl
A stochastic process representation for time warping functions.
Comput. Stat. Data Anal.
Yijia Ma, Xinyu Zhou, Wei Wu
2023 J jnl
Statistical depth for point process via the isometric log-ratio transformation.
Comput. Stat. Data Anal.
Xinyu Zhou, Yijia Ma, Wei Wu
2022 J jnl
A reinforcement learning approach for protein-ligand binding pose prediction.
BMC Bioinform.
Chenran Wang, Yang Chen, Yuan Zhang, Keqiao Li, Menghan Lin, Feng Pan, Wei Wu, Jinfeng Zhang
2022 J jnl
A unified framework on defining depth for point process using function smoothing.
Comput. Stat. Data Anal.
Zishen Xu, Chenran Wang, Wei Wu
2022 J jnl
Data-Driven, Soft Alignment of Functional Data Using Shapes and Landmarks.
CoRR
Xiaoyang Guo, Wei Wu, Anuj Srivastava
2022 J jnl
Rank-Based Mixture Models for Temporal Point Processes.
Frontiers Appl. Math. Stat.
Yang Chen, Yijia Ma, Wei Wu
2021 J jnl
Intensity Estimation for Poisson Process With Compositional Noise.
Frontiers Appl. Math. Stat.
Glenna Schluck, Wei Wu, Anuj Srivastava
2020 J jnl
Regression models using shapes of functions as predictors.
Comput. Stat. Data Anal.
Kyungmin Ahn, J. Derek Tucker, Wei Wu, Anuj Srivastava
2018 — conf
Elastic Handling of Predictor Phase in Functional Regression Models.
CVPR Workshops
Kyungmin Ahn, J. Derek Tucker, Wei Wu, Anuj Srivastava
2018 J jnl
Robust template estimation for functional data with phase variability using band depth.
Comput. Stat. Data Anal.
Jason Cleveland, Weilong Zhao, Wei Wu
2017 J jnl
SRSF shape analysis for sequencing data reveal new differentiating patterns.
Comput. Biol. Chem.
Sergiusz Wesolowski, Daniel Vera, Wei Wu
2014 J jnl
Modeling and Analysis of Neural Spike Trains.
Comput. Intell. Neurosci.
Wei Wu, Asohan Amarasingham, Zhe (Sage) Chen, Sung-Phil Kim
2013 — conf
An efficient multiple protein structure comparison method and its application to structure clustering and outlier detection.
BIBM
Wei Wu, Anuj Srivastava, Jose Laborde, Jinfeng Zhang
2013 J jnl
Estimating summary statistics in the spike-train space.
J. Comput. Neurosci.
Wei Wu, Anuj Srivastava
2013 J jnl
Generative models for functional data using phase and amplitude separation.
Comput. Stat. Data Anal.
J. Derek Tucker, Wei Wu, Anuj Srivastava
2012 J jnl
Coupling time decoding and trajectory decoding using a target-included model in the motor cortex.
Neurocomputing
Vernon Lawhern, Nicholas G. Hatsopoulos, Wei Wu
2012 — conf
Estimation of a mean template from spike-train data.
EMBC
Wei Wu, Anuj Srivastava
2011 J jnl
An information-geometric framework for statistical inferences in the neural spike train space.
J. Comput. Neurosci.
Wei Wu, Anuj Srivastava
2011 — conf
Signal Estimation Under Random Time-Warpings and Nonlinear Signal Alignment.
NIPS
Sebastian Kurtek, Anuj Srivastava, Wei Wu
2010 J jnl
A new look at state-space models for neural data.
J. Comput. Neurosci.
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreira, Shinsuke Koyama, Kamiar Rahnama Rad, Michael Vidne, Joshua T. Vogelstein, Wei Wu