Wenbo Hu

Orcid: 0000-0002-0639-2012

Affiliations:

Hefei University of Technology, School of Computer Science and Information, 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 47 papers between 2012 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Benchmarking Trustworthiness in Multimodal LLMs for Video Understanding.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Sparse-Scale Transformer with Bidirectional Awareness for Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Deep Hidden Cognition Facilitates Reliable Chain-of-Thought Reasoning.

[BibT_eX]

[DOI]

Zijun Chen

Wenbo Hu

Richang Hong

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Deep sub-ensembles meets quantile regression: uncertainty-aware imputation for time series.

[BibT_eX]

[DOI]

Mach. Learn., December, 2025

Bridging the Gap Between Bayesian Deep Learning and Ensemble Weather Forecasts.

[BibT_eX]

[DOI]

CoRR, November, 2025

Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., June, 2025

Align Is Not Enough: Multimodal Universal Jailbreak Attack Against Multimodal Large Language Models.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., June, 2025

Revealing Security Flaws in Cross-Modal Retrieval Models Through Video Poisoning.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., June, 2025

Understanding and Benchmarking the Trustworthiness in Multimodal LLMs for Video Understanding.

[BibT_eX]

[DOI]

CoRR, June, 2025

SDE-HNN: Accurate and Well-Calibrated Forecasting Using Stochastic Differential Equations.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, February, 2025

Exploring Transferability of Multimodal Adversarial Samples for Vision-Language Pre-Training Models With Contrastive Learning.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2025

Client: Cross-variable linear integrated enhanced transformer for multivariate long-term time series forecasting.

[BibT_eX]

[DOI]

AI Open, 2025

Making Strides Security in Multimodal Fake News Detection Models: A Comprehensive Analysis of Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the MultiMedia Modeling, 2025

RATE: Robust Adversarial Training and Temperature-scaled Ensemble Framework for Trustworthy Misinformation Detection.

[BibT_eX]

[DOI]

Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

Joint Adversarial Purification: Mitigating the Threat of Multimodal Adversarial Examples.

[BibT_eX]

[DOI]

Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

A Concise Survey on Lane Topology Reasoning for HD Mapping.

[BibT_eX]

[DOI]

Proceedings of the IEEE Intelligent Vehicles Symposium, 2025

Towards V2X HD Mapping for Autonomous Driving: A Concise Review.

[BibT_eX]

[DOI]

Proceedings of the IEEE Intelligent Vehicles Symposium, 2025

SURE: Safety Understanding and Reasoning Enhancement for Multimodal Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 31st International Conference on Computational Linguistics, 2025

SATA: A Paradigm for LLM Jailbreak via Simple Assistive Task Linkage.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Based on Spatial and Temporal Implicit Semantic Relational Inference for Cross-Modal Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., November, 2024

Iterative Adversarial Attack on Image-Guided Story Ending Generation.

[BibT_eX]

[DOI]

Youze Wang

Wenbo Hu

Richang Hong

IEEE Trans. Multim., 2024

Conformalized Graph Learning for Molecular ADMET Property Prediction and Reliable Uncertainty Quantification.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2024

Revisiting PCA for time series reduction in temporal dimension.

[BibT_eX]

[DOI]

Jiaxin Gao

Wenbo Hu

Yuntian Chen

CoRR, 2024

AtomTool: Empowering Large Language Models with Tool Utilization Skills.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 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

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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