Wenyu Zhang
Wenyu Zhang
PhD student, Department of Statistical Science, Cornell University
Verified email at cornell.edu - Homepage
Title
Cited by
Cited by
Year
Multivariate Time Series Classification Using Dynamic Time Warping Template Selection for Human Activity Recognition
S Seto, W Zhang, Y Zhou
IEEE CIDM, 2015
812015
Heterogeneous Sensor Data Fusion By Deep Multimodal Encoding
Z Liu, W Zhang, S Lin, T Quek
IEEE Journal of Selected Topics in Signal Processing, 2017
232017
Integrating Macroecological Metrics and Community Taxonomic Structure
J Harte, A Rominger, W Zhang
Ecology Letters, 2015
122015
Deep Fusion of Heterogeneous Sensor Data
Z Liu, W Zhang, T Quek, S Lin
IEEE ICASSP, 2017
92017
Pruning and Nonparametric Multiple Change Point Detection
W Zhang, N James, D Matteson
IEEE ICDM Workshops, 2017
82017
Adaptive Duty Cycling in Sensor Networks via Continuous Time Markov Chain Modelling
R Chan, P Zhang, W Zhang, I Nevat, A Valera, HX Tan, N Gautam
IEEE ICC, 2015
62015
Multimodal Fusion for Sensor Data using Stacked Autoencoders
P Zhang, X Ma, W Zhang, S Lin, H Chen, A Lee, G Xiao
IEEE ISSNIP, 2015
62015
ABACUS: Unsupervised Multivariate Change Detection via Bayesian Source Separation
W Zhang, D Gilbert, D Matteson
SIAM International Conference on Data Mining, 2019
42019
Ecp: Non-Parametric Multiple Change-Point Analysis of Multivariate Data
NA James, W Zhang, DS Matteson, MW Zhang
https://cran.r-project.org/package=ecp, 2019
32019
Learning Periods from Incomplete Multivariate Time Series
L Zhang, A Gorovits, W Zhang, P Bogdanov
IEEE International Conference on Data Mining (ICDM), 2020
12020
Modeling Nonlinear Growth Followed by Long-Memory Equilibrium with Unknown Change Point
W Zhang, M Griffin, D Matteson
arXiv preprint arXiv:2007.09417, 2020
12020
Multi-label Prediction in Time Series Data using Deep Neural Networks
W Zhang, DK Jha, E Laftchiev, D Nikovski
International Journal of Prognostics and Health Management, 2019
12019
Financial Forecasting and Analysis for Low-Wage Workers
W Zhang, R Horesh, KN Ramamurthy, L Wu, J Yi, K Anderson, ...
Data for Good Exchange, 2018
12018
Predictive Classification of Future Operations
D Jha, W Zhang, E Laftchiev, D Nikovski
US Patent App. 16/369,109, 2020
2020
Hierarchical Adaptive Lasso: Learning Sparse Neural Networks with Shrinkage via Single Stage Training
S Seto, MT Wells, W Zhang
arXiv preprint arXiv:2008.10183, 2020
2020
CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through Context
W Zhang, S Seto, DK Jha
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020
2020
rddapp: Regression Discontinuity Design Application
Z Jin, W Liao, I Papst, W Zhang, F Thoemmes
https://cran.r-project.org/package=rddapp, 2018
2018
AURORA: A Unified fRamework fOR Anomaly detection on multivariate time series
L Zhang, W Zhang, MJ McNeil, N Chengwang, DS Matteson, P Bogdanov
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Articles 1–18