Adaptive duty cycling in sensor networks via Continuous Time Markov Chain modelling. - Wai Hong Ronald Chan; Pengfei Zhang 001; Wenyu Zhang 003; Ido Nevat; Alvin C. Valera; Hwee-Xian Tan; Natarajan Gautam (ICC, 2015)

Multimodal fusion for sensor data using stacked autoencoders. - Pengfei Zhang 001; Xiaoping Ma; Wenyu Zhang 003; Shaowei Lin; Huiling Chen; Arthur Lee Yirun; Gaoxi Xiao (ISSNIP, 2015)

Multivariate Time Series Classification Using Dynamic Time Warping Template Selection for Human Activity Recognition. - Skyler Seto; Wenyu Zhang 003; Yichen Zhou (SSCI, 2015)

Deep fusion of heterogeneous sensor data. - Zuozhu Liu; Wenyu Zhang 003; Tony Q. S. Quek; Shaowei Lin (ICASSP, 2017)

Pruning and Nonparametric Multiple Change Point Detection. - Wenyu Zhang 003; Nicholas A. James; David S. Matteson (ICDM Workshops, 2017)

Heterogeneous Sensor Data Fusion By Deep Multimodal Encoding. - Zuozhu Liu; Wenyu Zhang 003; Shaowei Lin; Tony Q. S. Quek (IEEE J. Sel. Top. Signal Process., 2017)

ABACUS: Unsupervised Multivariate Change Detection via Bayesian Source Separation. - Wenyu Zhang 003; Daniel E. Gilbert; David S. Matteson (SDM, 2019)

Learning Periods from Incomplete Multivariate Time Series. - Lin Zhang; Alexander Gorovits; Wenyu Zhang 003; Petko Bogdanov (ICDM, 2020)

CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through Context. - Wenyu Zhang 003; Skyler Seto; Devesh K. Jha (IROS, 2020)

Multi-label Prediction in Time Series Data using Deep Neural Networks. - Wenyu Zhang 003; Devesh K. Jha; Emil Laftchiev; Daniel Nikovski (CoRR, 2020)

Hierarchical Adaptive Lasso: Learning Sparse Neural Networks with Shrinkage via Single Stage Training. - Skyler Seto; Martin T. Wells; Wenyu Zhang 003 (CoRR, 2020)

Robust Domain-Free Domain Generalization with Class-Aware Alignment. - Wenyu Zhang 003; Mohamed Ragab 002; Ramón Sagarna (ICASSP, 2021)

POLA: Online Time Series Prediction by Adaptive Learning Rates. - Wenyu Zhang 003 (ICASSP, 2021)

HALO: Learning to Prune Neural Networks with Shrinkage. - Skyler Seto; Martin T. Wells; Wenyu Zhang 003 (SDM, 2021)

An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series. - Astha Garg; Wenyu Zhang 003; Jules Samaran; Savitha Ramasamy; Chuan-Sheng Foo (CoRR, 2021)

AURORA: A Unified fRamework fOR Anomaly detection on multivariate time series. - Lin Zhang; Wenyu Zhang 003; Maxwell J. McNeil; Nachuan Chengwang; David S. Matteson; Petko Bogdanov (Data Min. Knowl. Discov., 2021)

Domain Generalization via Selective Consistency Regularization for Time Series Classification. - Wenyu Zhang 003; Mohamed Ragab 002; Chuan-Sheng Foo (ICPR, 2022)

Few-Shot Adaptation of Pre-Trained Networks for Domain Shift. - Wenyu Zhang 003; Li Shen; Wanyue Zhang; Chuan-Sheng Foo (IJCAI, 2022)

Co-Learning with Pre-Trained Networks Improves Source-Free Domain Adaptation. - Wenyu Zhang 003; Li Shen; Chuan-Sheng Foo (CoRR, 2022)

Conditional Contrastive Domain Generalization for Fault Diagnosis. - Mohamed Ragab 002; Zhenghua Chen; Wenyu Zhang 003; Emadeldeen Eldele; Min Wu 008; Chee Keong Kwoh 001; Xiaoli Li 001 (IEEE Trans. Instrum. Meas., 2022)

An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series. - Astha Garg; Wenyu Zhang 003; Jules Samaran; Ramasamy Savitha; Chuan-Sheng Foo (IEEE Trans. Neural Networks Learn. Syst., 2022)

Rethinking the Role of Pre-Trained Networks in Source-Free Domain Adaptation. - Wenyu Zhang 003; Li Shen; Chuan-Sheng Foo (ICCV, 2023)

Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias. - Wenyu Zhang 003; Qingmu Liu; Felix Ong Wei Cong; Mohamed Ragab 002; Chuan-Sheng Foo (CVPR, 2024)

Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation. - Mohamed Ragab 002; Peiliang Gong; Emadeldeen Eldele; Wenyu Zhang 003; Min Wu 008; Chuan-Sheng Foo; Daoqiang Zhang; Xiaoli Li 001; Zhenghua Chen (CoRR, 2024)

Training neural networks with classification rules for incorporating domain knowledge. - Wenyu Zhang 003; Fayao Liu; Cuong Manh Nguyen; Zhong Liang Ou Yang; Savitha Ramasamy; Chuan-Sheng Foo (Knowl. Based Syst., 2024)

Source-Free Domain Adaptation Guided by Vision and Vision-Language Pre-training. - Wenyu Zhang 003; Li Shen; Chuan-Sheng Foo (Int. J. Comput. Vis., 2025)