Neural-network-based cooperative adaptive identification of nonlinear systems. - Weisheng Chen; Shaoyong Hua; Wenlong Ren; Wenbo Hu 001 (ICARCV, 2012)

Big Learning with Bayesian Methods. - Jun Zhu 001; Jianfei Chen 001; Wenbo Hu 001 (CoRR, 2014)

Stochastic Subgradient MCMC Methods. - Wenbo Hu 001; Jun Zhu 001; Bo Zhang 010 (CoRR, 2015)

Semi-supervised Max-margin Topic Model with Manifold Posterior Regularization. - Wenbo Hu 001; Jun Zhu 001; Hang Su 006; Jingwei Zhuo; Bo Zhang 010 (IJCAI, 2017)

SAM: Semantic Attribute Modulated Language Modeling. - Wenbo Hu 001; Lifeng Hua; Lei Li 005; Tian Wang 002; Jun Zhu 001; Hang Su 006; Bo Zhang 010 (CoRR, 2017)

Fast sampling methods for Bayesian max-margin models. - Wenbo Hu 001; Jun Zhu 001; Bo Zhang 010 (Expert Syst. Appl., 2017)

Calibrated Reliable Regression using Maximum Mean Discrepancy. - Peng Cui 007; Wenbo Hu 001; Jun Zhu 001 (NeurIPS, 2020)

Dynamic Window-level Granger Causality of Multi-channel Time Series. - Zhiheng Zhang; Wenbo Hu 001; Tian Tian 001; Jun Zhu 001 (CoRR, 2020)

Series Saliency: Temporal Interpretation for Multivariate Time Series Forecasting. - Qingyi Pan; Wenbo Hu 001; Jun Zhu 001 (CoRR, 2020)

Two Birds with One Stone: Series Saliency for Accurate and Interpretable Multivariate Time Series Forecasting. - Qingyi Pan; Wenbo Hu 001; Ning Chen 002 (IJCAI, 2021)

Accurate and Reliable Forecasting using Stochastic Differential Equations. - Peng Cui 007; Zhijie Deng; Wenbo Hu 001; Jun Zhu 001 (CoRR, 2021)

Stacking VAE with Graph Neural Networks for Effective and Interpretable Time Series Anomaly Detection. - Wenkai Li; Wenbo Hu 001; Ning Chen 002; Cheng Feng 004 (CoRR, 2021)

KO-PDE: Kernel Optimized Discovery of Partial Differential Equations with Varying Coefficients. - Yingtao Luo; Qiang Liu 006; Yuntian Chen; Wenbo Hu 001; Jun Zhu 001 (CoRR, 2021)

TgDLF2.0: Theory-guided deep-learning for electrical load forecasting via Transformer and transfer learning. - Jiaxin Gao; Wenbo Hu 001; Dongxiao Zhang; Yuntian Chen (CoRR, 2022)

StackVAE-G: An efficient and interpretable model for time series anomaly detection. - Wenkai Li; Wenbo Hu 001; Ting Chen 006; Ning Chen 002; Cheng Feng 004 (AI Open, 2022)

How to Use Language Expert to Assist Inference for Visual Commonsense Reasoning. - Zijie Song; Wenbo Hu 001; Hao Ye; Richang Hong (ICDM (Workshops), 2023)

Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations. - Yingtao Luo; Qiang Liu 006; Yuntian Chen; Wenbo Hu 001; Tian Tian 001; Jun Zhu 001 (KDD, 2023)

Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation. - Wenbo Hu 001; Xin Sun; Qiang Liu 006; Shu Wu (CoRR, 2023)

Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting. - Jiaxin Gao; Wenbo Hu 001; Yuntian Chen (CoRR, 2023)

Exploring Transferability of Multimodal Adversarial Samples for Vision-Language Pre-training Models with Contrastive Learning. - Youze Wang; Wenbo Hu 001; Yinpeng Dong; Richang Hong (CoRR, 2023)

Investigating Uncertainty Calibration of Aligned Language Models under the Multiple-Choice Setting. - Guande He; Peng Cui 007; Jianfei Chen 001; Wenbo Hu 001; Jun Zhu 001 (CoRR, 2023)

Deep Ensembles Meets Quantile Regression: Uncertainty-aware Imputation for Time Series. - Ying Liu; Peng Cui 007; Wenbo Hu 001; Richang Hong (CoRR, 2023)

AtomTool: Empowering Large Language Models with Tool Utilization Skills. - Yongle Li; Zheng Zhang 006; Junqi Zhang; Wenbo Hu 001; Yongyu Wu; Richang Hong (PRCV (1), 2024)

Iterative Adversarial Attack on Image-Guided Story Ending Generation. - Youze Wang; Wenbo Hu 001; Richang Hong (IEEE Trans. Multim., 2024)

Based on Spatial and Temporal Implicit Semantic Relational Inference for Cross-Modal Retrieval. - Ming Jin 007; Wenbo Hu 001; Lei Zhu 002; Xiang Wang 010; Richang Hong (IEEE Trans. Circuits Syst. Video Technol., 2024)

Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models. - Zijun Chen 001; Wenbo Hu 001; Guande He; Zhijie Deng; Zheng Zhang 006; Richang Hong (COLING, 2025)

Joint Adversarial Purification: Mitigating the Threat of Multimodal Adversarial Examples. - Qin Li; Youze Wang; Wenbo Hu 001; Richang Hong (ICMR, 2025)

RATE: Robust Adversarial Training and Temperature-scaled Ensemble Framework for Trustworthy Misinformation Detection. - Rui Sun; Wenbo Hu 001; Qiang Liu 006; Richang Hong (ICMR, 2025)

Making Strides Security in Multimodal Fake News Detection Models: A Comprehensive Analysis of Adversarial Attacks. - Jiahua Si; Youze Wang; Wenbo Hu 001; Qiang Liu 006; Richang Hong (MMM (2), 2025)

SDE-HNN: Accurate and Well-Calibrated Forecasting Using Stochastic Differential Equations. - Peng Cui 007; Zhijie Deng; Wenbo Hu 001; Jun Zhu 001 (ACM Trans. Knowl. Discov. Data, 2025)

Understanding and Benchmarking the Trustworthiness in Multimodal LLMs for Video Understanding. - Youze Wang; Zijun Chen 001; Ruoyu Chen; Shishen Gu; Yinpeng Dong; Hang Su 006; Jun Zhu 001; Meng Wang 001; Richang Hong; Wenbo Hu 001 (CoRR, 2025)

Revealing Security Flaws in Cross-Modal Retrieval Models Through Video Poisoning. - Ming Jin 007; Wenbo Hu 001; Richang Hong; Lei Zhu 002 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Align Is Not Enough: Multimodal Universal Jailbreak Attack Against Multimodal Large Language Models. - Youze Wang; Wenbo Hu 001; Yinpeng Dong; Jing Liu 001; Hanwang Zhang; Richang Hong (IEEE Trans. Circuits Syst. Video Technol., 2025)

Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation. - Wenbo Hu 001; Xin Sun; Qiang Liu 006; Le Wu; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2025)

Deep Hidden Cognition Facilitates Reliable Chain-of-Thought Reasoning. - Zijun Chen 001; Wenbo Hu 001; Richang Hong (CoRR, 2025)