| Big learning with Bayesian methods J Zhu, J Chen, W Hu, B Zhang National Science Review 4 (4), 627-651, 2017 | 91 | 2017 |
| Recent advances in Bayesian machine learning J Zhu, W Hu J. Comput. Res. Dev 52 (1), 16-26, 2015 | 46* | 2015 |
| Calibrated Reliable Regression using Maximum Mean Discrepancy P Cui, W Hu, J Zhu Advances in Neural Information Processing Systems 33, 2020 | 45 | 2020 |
| Two Birds with One Stone: Series Saliency for Accurate and Interpretable Multivariate Time Series Forecasting Q Pan, W Hu, N Chen Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021 | 36* | 2021 |
| An adaptive deep-learning load forecasting framework by integrating transformer and domain knowledge J Gao, Y Chen, W Hu, D Zhang Advances in Applied Energy 10, 100142, 2023 | 25* | 2023 |
| StackVAE-G: An efficient and interpretable model for time series anomaly detection W Li, W Hu, T Chen, N Chen, C Feng AI Open 3, 101-110, 2022 | 17* | 2022 |
| Client: Cross-variable linear integrated enhanced transformer for multivariate long-term time series forecasting J Gao, W Hu, Y Chen arXiv preprint arXiv:2305.18838, 2023 | 16 | 2023 |
| Semi-supervised Max-margin Topic Model with Manifold Posterior Regularization. W Hu, J Zhu, H Su, J Zhuo, B Zhang IJCAI, 1865-1871, 2017 | 8 | 2017 |
| Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations Y Luo, Q Liu, Y Chen, W Hu, T Tian, J Zhu Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 7* | 2023 |
| Dynamic window-level granger causality of multi-channel time series Z Zhang, W Hu, T Tian, J Zhu arXiv preprint arXiv:2006.07788, 2020 | 5 | 2020 |
| Investigating uncertainty calibration of aligned language models under the multiple-choice setting G He, P Cui, J Chen, W Hu, J Zhu arXiv preprint arXiv:2310.11732, 2023 | 4 | 2023 |
| Exploring transferability of multimodal adversarial samples for vision-language pre-training models with contrastive learning Y Wang, W Hu, Y Dong, H Zhang, H Su, R Hong arXiv preprint arXiv:2308.12636, 2023 | 4 | 2023 |
| Neural-network-based cooperative adaptive identification of nonlinear systems W Chen, S Hua, W Ren, W Hu 2012 12th International Conference on Control Automation Robotics & Vision …, 2012 | 4 | 2012 |
| Accurate and reliable forecasting using stochastic differential equations P Cui, Z Deng, W Hu, J Zhu arXiv preprint arXiv:2103.15041, 2021 | 3 | 2021 |
| Iterative Adversarial Attack on Image-guided Story Ending Generation Y Wang, W Hu, R Hong IEEE Transactions on Multimedia, 2023 | 1 | 2023 |
| How to Use Language Expert to Assist Inference for Visual Commonsense Reasoning Z Song, W Hu, H Ye, R Hong 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 521-527, 2023 | 1 | 2023 |
| Fast sampling methods for Bayesian max-margin models W Hu, J Zhu, B Zhang Expert Systems with Applications 69, 277-287, 2017 | 1 | 2017 |
| Based on Spatial and Temporal Implicit Semantic Relational Inference for Cross-Modal Retrieval M Jin, W Hu, L Zhu, X Wang, R Hong IEEE Transactions on Circuits and Systems for Video Technology, 2024 | | 2024 |
| A dilated convolution‐based method with time series fine tuning for data‐driven crack length estimation J Gao, W Hu, Q Han, Y Chen, R Hong, H Shi Fatigue & Fracture of Engineering Materials & Structures, 2024 | | 2024 |
| Deep Ensembles Meets Quantile Regression: Uncertainty-aware Imputation for Time Series Y Liu, P Cui, W Hu, R Hong arXiv preprint arXiv:2312.01294, 2023 | | 2023 |
Jun ZhuProfessor of Computer Science, Tsinghua UniversityVerified email at mail.tsinghua.edu.cn
