Big learning with Bayesian methods J Zhu, J Chen, W Hu, B Zhang National Science Review 4 (4), 627-651, 2017 | 88 | 2017 |
Recent advances in Bayesian machine learning J Zhu, W Hu J. Comput. Res. Dev 52 (1), 16-26, 2015 | 43* | 2015 |
Calibrated Reliable Regression using Maximum Mean Discrepancy P Cui, W Hu, J Zhu Advances in Neural Information Processing Systems 33, 2020 | 39 | 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 | 32* | 2021 |
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 | 15* | 2022 |
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 | 13* | 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 |
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 | 6 | 2023 |
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 | 5* | 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 |
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 |
Exploring transferability of multimodal adversarial samples for vision-language pre-training models with contrastive learning Y Wang, W Hu, Y Dong, R Hong arXiv preprint arXiv:2308.12636, 2023 | 2 | 2023 |
Accurate and reliable forecasting using stochastic differential equations P Cui, Z Deng, W Hu, J Zhu arXiv preprint arXiv:2103.15041, 2021 | 2 | 2021 |
Iterative Adversarial Attack on Image-guided Story Ending Generation Y Wang, W Hu, R Hong IEEE Transactions on Multimedia, 2023 | 1 | 2023 |
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 | 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 |
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 | | 2023 |
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 |
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation W Hu, X Sun, Q Liu, S Wu arXiv preprint arXiv:2303.12973, 2023 | | 2023 |
SAM: Semantic Attribute Modulation for Language Modeling and Style Variation W Hu, L Hua, L Li, H Su, T Wang, N Chen, B Zhang arXiv preprint arXiv:1707.00117, 2017 | | 2017 |