Wenyu Zhang

According to our database, Wenyu Zhang authored at least 23 papers between 2015 and 2024.

Collaborative distances:

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

2024

Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias.

Wenyu Zhang, Qingmu Liu, Felix Ong Wei Cong, Mohamed Ragab, Chuan-Sheng Foo

CoRR, 2024

2023

Rethinking the Role of Pre-Trained Networks in Source-Free Domain Adaptation.

Wenyu Zhang, Li Shen, Chuan-Sheng Foo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series.

Astha Garg, Wenyu Zhang, Jules Samaran, Ramasamy Savitha, Chuan-Sheng Foo

IEEE Trans. Neural Networks Learn. Syst., 2022

Conditional Contrastive Domain Generalization for Fault Diagnosis.

Mohamed Ragab, Zhenghua Chen, Wenyu Zhang, Emadeldeen Eldele, Min Wu, Chee Keong Kwoh, Xiaoli Li

IEEE Trans. Instrum. Meas., 2022

Co-Learning with Pre-Trained Networks Improves Source-Free Domain Adaptation.

Wenyu Zhang, Li Shen, Chuan-Sheng Foo

CoRR, 2022

Few-Shot Adaptation of Pre-Trained Networks for Domain Shift.

Wenyu Zhang, Li Shen, Wanyue Zhang, Chuan-Sheng Foo

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Domain Generalization via Selective Consistency Regularization for Time Series Classification.

Wenyu Zhang, Mohamed Ragab, Chuan-Sheng Foo

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

AURORA: A Unified fRamework fOR Anomaly detection on multivariate time series.

Lin Zhang, Wenyu Zhang, Maxwell J. McNeil, Nachuan Chengwang, David S. Matteson, Petko Bogdanov

Data Min. Knowl. Discov., 2021

An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series.

Astha Garg, Wenyu Zhang, Jules Samaran, Savitha Ramasamy, Chuan-Sheng Foo

CoRR, 2021

HALO: Learning to Prune Neural Networks with Shrinkage.

Skyler Seto, Martin T. Wells, Wenyu Zhang

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

POLA: Online Time Series Prediction by Adaptive Learning Rates.

Wenyu Zhang

Proceedings of the IEEE International Conference on Acoustics, 2021

Robust Domain-Free Domain Generalization with Class-Aware Alignment.

Wenyu Zhang, Mohamed Ragab, Ramón Sagarna

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Hierarchical Adaptive Lasso: Learning Sparse Neural Networks with Shrinkage via Single Stage Training.

Skyler Seto, Martin T. Wells, Wenyu Zhang

CoRR, 2020

Multi-label Prediction in Time Series Data using Deep Neural Networks.

Wenyu Zhang, Devesh K. Jha, Emil Laftchiev, Daniel Nikovski

CoRR, 2020

CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through Context.

Wenyu Zhang, Skyler Seto, Devesh K. Jha

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning Periods from Incomplete Multivariate Time Series.

Lin Zhang, Alexander Gorovits, Wenyu Zhang, Petko Bogdanov

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

ABACUS: Unsupervised Multivariate Change Detection via Bayesian Source Separation.

Wenyu Zhang, Daniel E. Gilbert, David S. Matteson

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

2017

Heterogeneous Sensor Data Fusion By Deep Multimodal Encoding.

Zuozhu Liu, Wenyu Zhang, Shaowei Lin, Tony Q. S. Quek

IEEE J. Sel. Top. Signal Process., 2017

Pruning and Nonparametric Multiple Change Point Detection.

Wenyu Zhang, Nicholas A. James, David S. Matteson

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Deep fusion of heterogeneous sensor data.

Zuozhu Liu, Wenyu Zhang, Tony Q. S. Quek, Shaowei Lin

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2015

Multivariate Time Series Classification Using Dynamic Time Warping Template Selection for Human Activity Recognition.

Skyler Seto, Wenyu Zhang, Yichen Zhou

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Multimodal fusion for sensor data using stacked autoencoders.

Pengfei Zhang, Xiaoping Ma, Wenyu Zhang, Shaowei Lin, Huiling Chen, Arthur Lee Yirun, Gaoxi Xiao

Proceedings of the Tenth IEEE International Conference on Intelligent Sensors, 2015

Adaptive duty cycling in sensor networks via Continuous Time Markov Chain modelling.

Wai Hong Ronald Chan, Pengfei Zhang, Wenyu Zhang, Ido Nevat, Alvin C. Valera, Hwee-Xian Tan, Natarajan Gautam

Proceedings of the 2015 IEEE International Conference on Communications, 2015