| Multivariate Time Series Classification Using Dynamic Time Warping Template Selection for Human Activity Recognition S Seto, W Zhang, Y Zhou IEEE CIDM, 2015 | 198 | 2015 |
| 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 | 144 | 2021 |
| 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 | 63 | 2022 |
| 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 | 52 | 2017 |
| Pruning and Nonparametric Multiple Change Point Detection W Zhang, N James, D Matteson IEEE ICDM Workshops, 2017 | 29 | 2017 |
| Deep Fusion of Heterogeneous Sensor Data Z Liu, W Zhang, T Quek, S Lin IEEE ICASSP, 2017 | 26 | 2017 |
| Integrating Macroecological Metrics and Community Taxonomic Structure J Harte, A Rominger, W Zhang Ecology Letters, 2015 | 19 | 2015 |
| 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 | 13 | 2022 |
| Predictive classification of future operations D Jha, W Zhang, E Laftchiev, D Nikovski US Patent 10,996,664, 2021 | 13 | 2021 |
| 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 | 12 | 2015 |
| 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 | 11* | 2023 |
| 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 | 11 | 2019 |
| Robust Domain-Free Domain Generalization with Class-aware Alignment W Zhang, M Ragab, R Sagarna IEEE ICASSP, 2021 | 9 | 2021 |
| 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 | 9 | 2021 |
| 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 | 9 | 2015 |
| ABACUS: Unsupervised Multivariate Change Detection via Bayesian Source Separation W Zhang, D Gilbert, D Matteson SIAM International Conference on Data Mining, 2019 | 8 | 2019 |
| Learning Periods from Incomplete Multivariate Time Series L Zhang, A Gorovits, W Zhang, P Bogdanov IEEE International Conference on Data Mining (ICDM), 2020 | 6 | 2020 |
| 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 | 6 | 2020 |
| 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 | 5* | 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 | 5 | 2021 |
Chuan-Sheng FooInstitute for Infocomm Research; A*STAR Centre for Frontier AI Research在 cs.stanford.edu 的电子邮件经过验证
