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ORCIDWenyu Zhang 0003
Person information
- affiliation: Institute for Infocomm Research, Singapore
- affiliation (former): Cornell University, Ithaca, NY, USA
- affiliation (former): Institute for Infocomm Research, Singapore
Other persons with the same name
- Wenyu Zhang — disambiguation page
- Wenyu Zhang 0001
![[0000-0002-8906-5411]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-8906-5411")
— Zhejiang University of Finance and Economics, School of Information Management and Artificial Intelligence, Hangzhou, China - Wenyu Zhang 0002 — University of Science and Technology Beijing, Institute of Artificial Intelligence, School of Intelligence Science and Technology, China (and 1 more)
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Journal Articles
- 2024
[j5]Wenyu Zhang, Fayao Liu, Cuong Manh Nguyen, Zhong Liang Ou Yang, Savitha Ramasamy, Chuan-Sheng Foo:
Training neural networks with classification rules for incorporating domain knowledge. Knowl. Based Syst. 294: 111716 (2024)- 2022
- [j4]Mohamed Ragab, Zhenghua Chen, Wenyu Zhang, Emadeldeen Eldele, Min Wu, Chee Keong Kwoh, Xiaoli Li:
Conditional Contrastive Domain Generalization for Fault Diagnosis. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [j3]Astha Garg, Wenyu Zhang, Jules Samaran, Ramasamy Savitha, Chuan-Sheng Foo:
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2508-2517 (2022) - 2021
- [j2]Lin Zhang, Wenyu Zhang, Maxwell J. McNeil, Nachuan Chengwang, David S. Matteson, Petko Bogdanov:
AURORA: A Unified fRamework fOR Anomaly detection on multivariate time series. Data Min. Knowl. Discov. 35(5): 1882-1905 (2021) - 2017
- [j1]Zuozhu Liu, Wenyu Zhang, Shaowei Lin, Tony Q. S. Quek:
Heterogeneous Sensor Data Fusion By Deep Multimodal Encoding. IEEE J. Sel. Top. Signal Process. 11(3): 479-491 (2017)
Conference and Workshop Papers
- 2023
- [c14]Wenyu Zhang, Li Shen, Chuan-Sheng Foo:
Rethinking the Role of Pre-Trained Networks in Source-Free Domain Adaptation. ICCV 2023: 18795-18805 - 2022
- [c13]Wenyu Zhang, Mohamed Ragab, Chuan-Sheng Foo:
Domain Generalization via Selective Consistency Regularization for Time Series Classification. ICPR 2022: 2149-2156 - [c12]Wenyu Zhang, Li Shen, Wanyue Zhang, Chuan-Sheng Foo:
Few-Shot Adaptation of Pre-Trained Networks for Domain Shift. IJCAI 2022: 1665-1671 - 2021
- [c11]Wenyu Zhang, Mohamed Ragab, Ramón Sagarna:
Robust Domain-Free Domain Generalization with Class-Aware Alignment. ICASSP 2021: 2870-2874 - [c10]Wenyu Zhang:
POLA: Online Time Series Prediction by Adaptive Learning Rates. ICASSP 2021: 3375-3379 - [c9]Skyler Seto, Martin T. Wells, Wenyu Zhang:
HALO: Learning to Prune Neural Networks with Shrinkage. SDM 2021: 558-566 - 2020
- [c8]Lin Zhang, Alexander Gorovits, Wenyu Zhang, Petko Bogdanov:
Learning Periods from Incomplete Multivariate Time Series. ICDM 2020: 1394-1399 - [c7]Wenyu Zhang, Skyler Seto, Devesh K. Jha:
CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through Context. IROS 2020: 7131-7138 - 2019
- [c6]Wenyu Zhang, Daniel E. Gilbert, David S. Matteson:
ABACUS: Unsupervised Multivariate Change Detection via Bayesian Source Separation. SDM 2019: 603-611 - 2017
- [c5]Zuozhu Liu, Wenyu Zhang, Tony Q. S. Quek, Shaowei Lin:
Deep fusion of heterogeneous sensor data. ICASSP 2017: 5965-5969 - [c4]Wenyu Zhang, Nicholas A. James, David S. Matteson:
Pruning and Nonparametric Multiple Change Point Detection. ICDM Workshops 2017: 288-295 - 2015
- [c3]Wai Hong Ronald Chan, Pengfei Zhang, Wenyu Zhang, Ido Nevat, Alvin C. Valera, Hwee-Xian Tan, Natarajan Gautam:
Adaptive duty cycling in sensor networks via Continuous Time Markov Chain modelling. ICC 2015: 6669-6674 - [c2]Pengfei Zhang, Xiaoping Ma, Wenyu Zhang, Shaowei Lin, Huiling Chen, Arthur Lee Yirun, Gaoxi Xiao:
Multimodal fusion for sensor data using stacked autoencoders. ISSNIP 2015: 1-2 - [c1]Skyler Seto, Wenyu Zhang, Yichen Zhou:
Multivariate Time Series Classification Using Dynamic Time Warping Template Selection for Human Activity Recognition. SSCI 2015: 1399-1406
Informal and Other Publications
- 2024
- [i12]Wenyu Zhang, Qingmu Liu, Felix Ong Wei Cong, Mohamed Ragab, Chuan-Sheng Foo:
Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias. CoRR abs/2403.11234 (2024) - [i11]Wenyu Zhang, Li Shen, Chuan-Sheng Foo:
Source-Free Domain Adaptation Guided by Vision and Vision-Language Pre-Training. CoRR abs/2405.02954 (2024) - 2022
- [i10]Wenyu Zhang, Li Shen, Wanyue Zhang, Chuan-Sheng Foo:
Few-Shot Adaptation of Pre-Trained Networks for Domain Shift. CoRR abs/2205.15234 (2022) - [i9]Wenyu Zhang, Mohamed Ragab, Chuan-Sheng Foo:
Domain Generalization via Selective Consistency Regularization for Time Series Classification. CoRR abs/2206.07876 (2022) - [i8]Wenyu Zhang, Li Shen, Chuan-Sheng Foo:
Co-Learning with Pre-Trained Networks Improves Source-Free Domain Adaptation. CoRR abs/2212.07585 (2022) - 2021
- [i7]Wenyu Zhang, Mohamed Ragab, Ramón Sagarna:
Robust Domain-Free Domain Generalization with Class-aware Alignment. CoRR abs/2102.08897 (2021) - [i6]Wenyu Zhang:
POLA: Online Time Series Prediction by Adaptive Learning Rates. CoRR abs/2102.08907 (2021) - [i5]Astha Garg, Wenyu Zhang, Jules Samaran, Savitha Ramasamy, Chuan-Sheng Foo:
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series. CoRR abs/2109.11428 (2021) - 2020
- [i4]Wenyu Zhang, Devesh K. Jha, Emil Laftchiev, Daniel Nikovski:
Multi-label Prediction in Time Series Data using Deep Neural Networks. CoRR abs/2001.10098 (2020) - [i3]Wenyu Zhang, Skyler Seto, Devesh K. Jha:
CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through Context. CoRR abs/2003.11696 (2020) - [i2]Skyler Seto, Martin T. Wells, Wenyu Zhang:
Hierarchical Adaptive Lasso: Learning Sparse Neural Networks with Shrinkage via Single Stage Training. CoRR abs/2008.10183 (2020) - 2015
- [i1]Skyler Seto, Wenyu Zhang, Yichen Zhou:
Multivariate Time Series Classification Using Dynamic Time Warping Template Selection for Human Activity Recognition. CoRR abs/1512.06747 (2015)
Coauthor Index
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