Wenbo Hu

Orcid: 0000-0002-0639-2012

Affiliations:

School of Computer Science and Information, Hefei University of Technology, Hefei, China
Tsinghua University, State Key Laboratory of Intelligent Technology and Systems, TNList, Beijing, China (former)
Tsinghua University, Department of Computer Science and Technology, Beijing, China (former)

According to our database¹, Wenbo Hu authored at least 24 papers between 2012 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Iterative Adversarial Attack on Image-Guided Story Ending Generation.

[BibT_eX]

[DOI]

Youze Wang

Wenbo Hu

Richang Hong

IEEE Trans. Multim., 2024

2023

Deep Ensembles Meets Quantile Regression: Uncertainty-aware Imputation for Time Series.

[BibT_eX]

[DOI]

CoRR, 2023

Investigating Uncertainty Calibration of Aligned Language Models under the Multiple-Choice Setting.

[BibT_eX]

[DOI]

CoRR, 2023

Exploring Transferability of Multimodal Adversarial Samples for Vision-Language Pre-training Models with Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting.

[BibT_eX]

[DOI]

Jiaxin Gao

Wenbo Hu

Yuntian Chen

CoRR, 2023

Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

How to Use Language Expert to Assist Inference for Visual Commonsense Reasoning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

StackVAE-G: An efficient and interpretable model for time series anomaly detection.

[BibT_eX]

[DOI]

AI Open, January, 2022

TgDLF2.0: Theory-guided deep-learning for electrical load forecasting via Transformer and transfer learning.

[BibT_eX]

[DOI]

CoRR, 2022

2021

KO-PDE: Kernel Optimized Discovery of Partial Differential Equations with Varying Coefficients.

[BibT_eX]

[DOI]

CoRR, 2021

Stacking VAE with Graph Neural Networks for Effective and Interpretable Time Series Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2021

Accurate and Reliable Forecasting using Stochastic Differential Equations.

[BibT_eX]

[DOI]

CoRR, 2021

Two Birds with One Stone: Series Saliency for Accurate and Interpretable Multivariate Time Series Forecasting.

[BibT_eX]

[DOI]

Qingyi Pan

Wenbo Hu

Ning Chen

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Series Saliency: Temporal Interpretation for Multivariate Time Series Forecasting.

[BibT_eX]

[DOI]

Qingyi Pan

Wenbo Hu

Jun Zhu

CoRR, 2020

Calibrated Reliable Regression using Maximum Mean Discrepancy.

[BibT_eX]

[DOI]

Peng Cui

Wenbo Hu

Jun Zhu

CoRR, 2020

Dynamic Window-level Granger Causality of Multi-channel Time Series.

[BibT_eX]

[DOI]

CoRR, 2020

Calibrated Reliable Regression using Maximum Mean Discrepancy.

[BibT_eX]

[DOI]

Peng Cui

Wenbo Hu

Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2017

Fast sampling methods for Bayesian max-margin models.

[BibT_eX]

[DOI]

Wenbo Hu

Jun Zhu

Bo Zhang

Expert Syst. Appl., 2017

SAM: Semantic Attribute Modulated Language Modeling.

[BibT_eX]

[DOI]

CoRR, 2017

Semi-supervised Max-margin Topic Model with Manifold Posterior Regularization.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2015

Stochastic Subgradient MCMC Methods.

[BibT_eX]

[DOI]

Wenbo Hu

Jun Zhu

Bo Zhang

CoRR, 2015

2014

Big Learning with Bayesian Methods.

[BibT_eX]

[DOI]

Jun Zhu

Jianfei Chen

Wenbo Hu

CoRR, 2014

2012

Neural-network-based cooperative adaptive identification of nonlinear systems.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012

Wenbo Hu

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