Wenyu Zhang

37 papers A* 4A 3B 1Misc 3Journal 22Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Evidentially Calibrated Source-Free Time-Series Domain Adaptation With Temporal Imputation.
IEEE Trans. Knowl. Data Eng.
Mohamed Ragab, Peiliang Gong, Emadeldeen Eldele, Wenyu Zhang, Min Wu, Chuan-Sheng Foo, Daoqiang Zhang, Xiaoli Li, Zhenghua Chen
2025 J jnl
A Survey and Evaluation of Adversarial Attacks in Object Detection.
IEEE Trans. Neural Networks Learn. Syst.
Khoi Nguyen Tiet Nguyen, Wenyu Zhang, Kangkang Lu, Yuhuan Wu, Xingjian Zheng, Hui Li Tan, Liangli Zhen
2025 J jnl
Source-Free Domain Adaptation Guided by Vision and Vision-Language Pre-training.
Int. J. Comput. Vis.
Wenyu Zhang, Li Shen, Chuan-Sheng Foo
2024 J jnl
A Survey and Evaluation of Adversarial Attacks for Object Detection.
CoRR
Khoi Nguyen Tiet Nguyen, Wenyu Zhang, Kangkang Lu, Yuhuan Wu, Xingjian Zheng, Hui Li Tan, Liangli Zhen
2024 J jnl
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation.
CoRR
Mohamed Ragab, Peiliang Gong, Emadeldeen Eldele, Wenyu Zhang, Min Wu, Chuan-Sheng Foo, Daoqiang Zhang, Xiaoli Li, Zhenghua Chen
2024 J jnl
Source-Free Domain Adaptation Guided by Vision and Vision-Language Pre-Training.
CoRR
Wenyu Zhang, Li Shen, Chuan-Sheng Foo
2024 J jnl
Training neural networks with classification rules for incorporating domain knowledge.
Knowl. Based Syst.
Wenyu Zhang, Fayao Liu, Cuong Manh Nguyen, Zhong Liang Ou Yang, Savitha Ramasamy, Chuan-Sheng Foo
2024 A* conf
Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias.
CVPR
Wenyu Zhang, Qingmu Liu, Felix Ong Wei Cong, Mohamed Ragab, Chuan-Sheng Foo
2024 J jnl
Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias.
CoRR
Wenyu Zhang, Qingmu Liu, Felix Ong Wei Cong, Mohamed Ragab, Chuan-Sheng Foo
2023 A* conf
Rethinking the Role of Pre-Trained Networks in Source-Free Domain Adaptation.
ICCV
Wenyu Zhang, Li Shen, Chuan-Sheng Foo
2022 J jnl
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series.
IEEE Trans. Neural Networks Learn. Syst.
Astha Garg, Wenyu Zhang, Jules Samaran, Ramasamy Savitha, Chuan-Sheng Foo
2022 J jnl
Co-Learning with Pre-Trained Networks Improves Source-Free Domain Adaptation.
CoRR
Wenyu Zhang, Li Shen, Chuan-Sheng Foo
2022 J jnl
Conditional Contrastive Domain Generalization for Fault Diagnosis.
IEEE Trans. Instrum. Meas.
Mohamed Ragab, Zhenghua Chen, Wenyu Zhang, Emadeldeen Eldele, Min Wu, Chee Keong Kwoh, Xiaoli Li
2022 B conf
Domain Generalization via Selective Consistency Regularization for Time Series Classification.
ICPR
Wenyu Zhang, Mohamed Ragab, Chuan-Sheng Foo
2022 J jnl
Domain Generalization via Selective Consistency Regularization for Time Series Classification.
CoRR
Wenyu Zhang, Mohamed Ragab, Chuan-Sheng Foo
2022 A* conf
Few-Shot Adaptation of Pre-Trained Networks for Domain Shift.
IJCAI
Wenyu Zhang, Li Shen, Wanyue Zhang, Chuan-Sheng Foo
2022 J jnl
Few-Shot Adaptation of Pre-Trained Networks for Domain Shift.
CoRR
Wenyu Zhang, Li Shen, Wanyue Zhang, Chuan-Sheng Foo
2021 J jnl
AURORA: A Unified fRamework fOR Anomaly detection on multivariate time series.
Data Min. Knowl. Discov.
Lin Zhang, Wenyu Zhang, Maxwell J. McNeil, Nachuan Chengwang, David S. Matteson, Petko Bogdanov
2021 J jnl
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series.
CoRR
Astha Garg, Wenyu Zhang, Jules Samaran, Savitha Ramasamy, Chuan-Sheng Foo
2021 A conf
HALO: Learning to Prune Neural Networks with Shrinkage.
SDM
Skyler Seto, Martin T. Wells, Wenyu Zhang
2021 Misc conf
POLA: Online Time Series Prediction by Adaptive Learning Rates.
ICASSP
Wenyu Zhang
2021 J jnl
POLA: Online Time Series Prediction by Adaptive Learning Rates.
CoRR
Wenyu Zhang
2021 Misc conf
Robust Domain-Free Domain Generalization with Class-Aware Alignment.
ICASSP
Wenyu Zhang, Mohamed Ragab, Ramón Sagarna
2021 J jnl
Robust Domain-Free Domain Generalization with Class-aware Alignment.
CoRR
Wenyu Zhang, Mohamed Ragab, Ramón Sagarna
2020 A conf
CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through Context.
IROS
Wenyu Zhang, Skyler Seto, Devesh K. Jha
2020 J jnl
CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through Context.
CoRR
Wenyu Zhang, Skyler Seto, Devesh K. Jha
2020 J jnl
Hierarchical Adaptive Lasso: Learning Sparse Neural Networks with Shrinkage via Single Stage Training.
CoRR
Skyler Seto, Martin T. Wells, Wenyu Zhang
2020 A* conf
Learning Periods from Incomplete Multivariate Time Series.
ICDM
Lin Zhang, Alexander Gorovits, Wenyu Zhang, Petko Bogdanov
2020 J jnl
Multi-label Prediction in Time Series Data using Deep Neural Networks.
CoRR
Wenyu Zhang, Devesh K. Jha, Emil Laftchiev, Daniel Nikovski
2019 A conf
ABACUS: Unsupervised Multivariate Change Detection via Bayesian Source Separation.
SDM
Wenyu Zhang, Daniel E. Gilbert, David S. Matteson
2017 Misc conf
Deep fusion of heterogeneous sensor data.
ICASSP
Zuozhu Liu, Wenyu Zhang, Tony Q. S. Quek, Shaowei Lin
2017 J jnl
Heterogeneous Sensor Data Fusion By Deep Multimodal Encoding.
IEEE J. Sel. Top. Signal Process.
Zuozhu Liu, Wenyu Zhang, Shaowei Lin, Tony Q. S. Quek
2017 — conf
Pruning and Nonparametric Multiple Change Point Detection.
ICDM Workshops
Wenyu Zhang, Nicholas A. James, David S. Matteson
2015 — conf
Adaptive duty cycling in sensor networks via Continuous Time Markov Chain modelling.
ICC
Wai Hong Ronald Chan, Pengfei Zhang, Wenyu Zhang, Ido Nevat, Alvin C. Valera, Hwee-Xian Tan, Natarajan Gautam
2015 — conf
Multimodal fusion for sensor data using stacked autoencoders.
ISSNIP
Pengfei Zhang, Xiaoping Ma, Wenyu Zhang, Shaowei Lin, Huiling Chen, Arthur Lee Yirun, Gaoxi Xiao
2015 — conf
Multivariate Time Series Classification Using Dynamic Time Warping Template Selection for Human Activity Recognition.
SSCI
Skyler Seto, Wenyu Zhang, Yichen Zhou
2015 J jnl
Multivariate Time Series Classification Using Dynamic Time Warping Template Selection for Human Activity Recognition.
CoRR
Skyler Seto, Wenyu Zhang, Yichen Zhou