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Wenyu Zhang
Wenyu Zhang
Research Scientist, Institute for Infocomm Research
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
1822015
An evaluation of anomaly detection and diagnosis in multivariate time series
A Garg, W Zhang, J Samaran, R Savitha, CS Foo
IEEE Transactions on Neural Networks and Learning Systems 33 (6), 2508-2517, 2021
1052021
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
502017
Conditional Contrastive Domain Generalization for Fault Diagnosis
M Ragab, Z Chen, W Zhang, E Eldele, M Wu, CK Kwoh, X Li
IEEE Transactions on Instrumentation and Measurement 71, 1-12, 2022
462022
Pruning and Nonparametric Multiple Change Point Detection
W Zhang, N James, D Matteson
IEEE ICDM Workshops, 2017
282017
Deep Fusion of Heterogeneous Sensor Data
Z Liu, W Zhang, T Quek, S Lin
IEEE ICASSP, 2017
222017
Integrating Macroecological Metrics and Community Taxonomic Structure
J Harte, A Rominger, W Zhang
Ecology Letters, 2015
202015
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
122015
Few-Shot Adaptation of Pre-Trained Networks for Domain Shift
W Zhang, L Shen, W Zhang, CS Foo
International Joint Conference on Artificial Intelligence (IJCAI), 2022
112022
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
112019
Robust Domain-Free Domain Generalization with Class-aware Alignment
W Zhang, M Ragab, R Sagarna
IEEE ICASSP, 2021
92021
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
92015
HALO: Learning to Prune Neural Networks with Shrinkage
S Seto, MT Wells, W Zhang
Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021
82021
ABACUS: Unsupervised Multivariate Change Detection via Bayesian Source Separation
W Zhang, D Gilbert, D Matteson
SIAM International Conference on Data Mining, 2019
82019
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
62020
Rethinking the Role of Pre-Trained Networks in Source-Free Domain Adaptation
W Zhang, L Shen, CS Foo
International Conference on Computer Vision (ICCV), 2023
5*2023
Learning Periods from Incomplete Multivariate Time Series
L Zhang, A Gorovits, W Zhang, P Bogdanov
IEEE International Conference on Data Mining (ICDM), 2020
52020
Modeling a nonlinear biophysical trend followed by long-memory equilibrium with unknown change point
W Zhang, M Griffin, D Matteson
The Annals of Applied Statistics, 2023
4*2023
AURORA: A Unified fRamework fOR Anomaly detection on multivariate time series
L Zhang, W Zhang, MJ McNeil, N Chengwang, DS Matteson, P Bogdanov
Data Mining and Knowledge Discovery 35 (5), 1882-1905, 2021
22021
POLA: Online Time Series Prediction by Adaptive Learning Rates
W Zhang
IEEE ICASSP, 2021
22021
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