Wenbo Hu's Homepage – News!

[2026] [2025] [2024] [2023] [Earlier]

2026

[Tutorial] I will give a tutorial on Uncertainty and Calibration in Large Models – Reliable Reasoning and Agent Safety at CNCC 2026 on October 21, 2026. (Oct/26)
[Paper] Our paper Visual EQA-CL: A Continual Learning Task for Embodied Question Answering has been accepted for publication in Multimedia Systems. (Sep/26)
[Preprint] We have substantially revised our preprint Resolving sources of uncertainty in AI weather forecasting and released the model and code. (Sep/26)
[Paper] Our paper Visual Token Compression Enhances Robustness of MLLMs has been accepted at ACM MM 2026. See you in Brazil! (Jul/26)
[Talk] I gave a talk titled Trustworthiness, Robustness, and Evaluation of Multimodal Large Language Models at Huawei Noah's Ark Lab. (Feb/26)
[Paper] Our paper ProSafePrune: Projected Safety Pruning for Mitigating Over-Refusal in LLMs has been accepted at ICLR 2026. See you in Brazil! (Jan/26)

2025

[Preprint] Our preprint Bridging the Gap Between Bayesian Deep Learning and Ensemble Weather Forecasts is now available online. (Nov/25)
[Paper] Three of our papers have been accepted at AAAI 2026. See you in Singapore! (Nov/25)
[Paper] Our paper Deep Sub-Ensembles Meets Quantile Regression: Uncertainty-Aware Imputation for Time Series has been accepted for publication in Machine Learning (Springer). (Oct/25)
[Service] I am serving as an area chair for ICLR 2026. (Aug/25)
[Paper] Our paper SURE: Safety Understanding and Reasoning Enhancement for Multimodal Large Language Models has been accepted at EMNLP 2025. (Aug/25)
[Preprint] Our preprint Deep Hidden Cognition Facilitates Reliable Chain-of-Thought Reasoning is now available online. (Jul/25)
[Paper] Our paper Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting has been accepted for publication in AI Open. (Jun/25)
[Preprint] Our preprint Understanding and Benchmarking the Trustworthiness in Multimodal LLMs for Video Understanding is now available online. (Jun/25)
[Paper] Our paper Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation has been accepted for publication in IEEE TKDE. (Mar/25)
[Paper] Our paper Revealing Security Flaws in Cross-Modal Retrieval Models through Video Poisoning has been accepted for publication in IEEE TCSVT. (Jan/25)
[Paper] Our paper Exploring Transferability of Multimodal Adversarial Samples for Vision-Language Pre-training Models with Contrastive Learning has been accepted for publication in IEEE TMM. (Jan/25)
[Paper] Our paper Align is not Enough: Multimodal Universal Jailbreak Attack against Multimodal Large Language Models has been accepted for publication in IEEE TCSVT. (Jan/25)

2024

[Preprint] Our preprint Revisiting PCA for time series reduction in temporal dimension is now available online. (Dec/24)
[Preprint] Our preprint SATA: A Paradigm for LLM Jailbreak via Simple Assistive Task Linkage is now available online. (Dec/24)
[Paper] Our paper Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models has been accepted at COLING 2025. (Nov/24)
[Paper] Our paper Conformalized Graph Learning for Molecular ADMET Property Prediction and Reliable Uncertainty Quantification has been accepted for publication in Journal of Chemical Information and Modeling. (Nov/24)
[Paper] Our paper Making Strides Security in Multimodal Fake News Detection Models: A Comprehensive Analysis of Adversarial Attacks has been accepted at MMM 2025. (Oct/24)
[Service] I am serving as an area chair for ICLR 2025. (Aug/24)
[Paper] Our paper Accurate and Reliable Forecasting using Stochastic Differential Equations has been accepted for publication in ACM TKDD. (Aug/24)
[Paper] Our paper Spatial and Temporal Implicit Semantic Relational Inference for Cross-Modal Retrieval has been accepted for publication in IEEE TCSVT. (Jun/24)
[Paper] Our paper A dilated convolution-based method with time series fine tuning for data-driven crack length estimation has been accepted for publication in Fatigue & Fracture of Engineering Materials & Structures. (Mar/24)
[Paper] Our paper Investigating Uncertainty Calibration of Aligned Language Models under the Multiple-Choice Setting has been accepted at the ICLR 2024 Workshop ME-FoMo. (Mar/24)
[ML-Reading] Registration is open for the spring 2024 machine learning reading group! 欢迎加入2024年第二届斛兵机器学习读书会！See here. (Jan/24)

2023

[Paper] Our paper Iterative Adversarial Attack on Image-guided Story Ending Generation has been accepted for publication in IEEE Transactions on Multimedia. (Dec/23)
[Preprint] Our preprint Deep Ensembles Meets Quantile Regression: Uncertainty-aware Imputation for Time Series is now available online. (Dec/23)
[Preprint] Our preprint Investigating Uncertainty Calibration of Aligned Language Models under the Multiple-Choice Setting is now available online. (Oct/23)
[Service] I am serving as an area chair for ICLR 2024. (Sep/23)
[Preprint] Our preprint Exploring Transferability of Multimodal Adversarial Samples for Vision-Language Pre-training Models with Contrastive Learning is now available online. (Aug/23)
[ML-Reading] The inaugural machine learning reading group has concluded. Read the news report (in Chinese). (Jul/23)
[Preprint] Our preprint Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting is now available online and has been accepted at the KDD 2023 Workshop on Mining and Learning from Time Series (KDD’23-MiLeTS). (Jun/23)
[Preprint] Our preprint Iterative Adversarial Attack on Image-guided Story Ending Generation is now available online. (May/23)
[Paper] Our paper “Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations” has been accepted at KDD 2023. (May/23)
[Paper] Our paper “An adaptive deep-learning load forecasting framework by integrating Transformer and domain knowledge” has been accepted for publication in Advances in Applied Energy (IF: 11.45). (May/23)
[Preprint] Our preprint Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation is now available online. (Mar/23)
[Service] I have joined the editorial board of ACM Transactions on Probabilistic Machine Learning (TOPML). (Mar/23)

Earlier

[Paper] Our paper Kernel Optimized Discovery of Partial Differential Equations with Varying Coefficients has been accepted at the NeurIPS 2022 AI4Science Workshop. (Oct/22)
[Paper] Our paper time series anomaly detection has been accepted for publication in AI Open. (Jul/22)
[Paper] Our paper on electrical load forecasting has been accepted at ICAE 2022! (Jun/22)
[Software] We have released RealSeries, an out-of-the-box Python toolkit for time series anomaly detection, Granger causality analysis, forecasting, and imputation. (Nov/21)
[Paper] Our paper on Saliency for time series forecasting has been accepted at IJCAI 2021. (Apr/21)
[Paper] Our paper on Calibrated Reliable Regression using Maximum Mean Discrepancy has been accepted at NeurIPS 2020. (Sep/20)