Wenbo Hu - RankMe

52 papers A* 8B 3C 1Journal 36Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Benchmarking Trustworthiness in Multimodal LLMs for Video Understanding. AAAI Youze Wang, Zijun Chen, Ruoyu Chen, Shishen Gu, Wenbo Hu, Jiayang Liu, Yinpeng Dong, Hang Su, Jun Zhu, Meng Wang, Richang Hong
2026	A*	`conf`	Deep Hidden Cognition Facilitates Reliable Chain-of-Thought Reasoning. AAAI Zijun Chen, Wenbo Hu, Richang Hong
2026	A*	`conf`	Sparse-Scale Transformer with Bidirectional Awareness for Time Series Forecasting. AAAI Ying Liu, Bo Liu, Sheng Huang, Gang Luo, Wenbo Hu, Meng Wang, Richang Hong
2025	J	`jnl`	A Concise Survey on Lane Topology Reasoning for HD Mapping. CoRR Yi Yao, Miao Fan, Shengtong Xu, Haoyi Xiong, Xiangzeng Liu, Wenbo Hu, Wenbing Huang
2025	J	`jnl`	Align Is Not Enough: Multimodal Universal Jailbreak Attack Against Multimodal Large Language Models. IEEE Trans. Circuits Syst. Video Technol. Youze Wang, Wenbo Hu, Yinpeng Dong, Jing Liu, Hanwang Zhang, Richang Hong
2025	J	`jnl`	Align is not Enough: Multimodal Universal Jailbreak Attack against Multimodal Large Language Models. CoRR Youze Wang, Wenbo Hu, Yinpeng Dong, Jing Liu, Hanwang Zhang, Richang Hong
2025	J	`jnl`	Bridging the Gap Between Bayesian Deep Learning and Ensemble Weather Forecasts. CoRR Xinlei Xiong, Wenbo Hu, Shuxun Zhou, Kaifeng Bi, Lingxi Xie, Ying Liu, Richang Hong, Qi Tian
2025	J	`jnl`	Client: Cross-variable linear integrated enhanced transformer for multivariate long-term time series forecasting. AI Open Jiaxin Gao, Wenbo Hu, Dongxiao Zhang, Yuntian Chen
2025	J	`jnl`	Deep Hidden Cognition Facilitates Reliable Chain-of-Thought Reasoning. CoRR Zijun Chen, Wenbo Hu, Richang Hong
2025	J	`jnl`	Deep sub-ensembles meets quantile regression: uncertainty-aware imputation for time series. Mach. Learn. Ying Liu, Peng Cui, Wenbo Hu, Richang Hong
2025	J	`jnl`	Exploring Transferability of Multimodal Adversarial Samples for Vision-Language Pre-Training Models With Contrastive Learning. IEEE Trans. Multim. Youze Wang, Wenbo Hu, Yinpeng Dong, Hanwang Zhang, Hang Su, Richang Hong
2025	B	`conf`	Joint Adversarial Purification: Mitigating the Threat of Multimodal Adversarial Examples. ICMR Qin Li, Youze Wang, Wenbo Hu, Richang Hong
2025	—	`conf`	Making Strides Security in Multimodal Fake News Detection Models: A Comprehensive Analysis of Adversarial Attacks. MMM (2) Jiahua Si, Youze Wang, Wenbo Hu, Qiang Liu, Richang Hong
2025	B	`conf`	RATE: Robust Adversarial Training and Temperature-scaled Ensemble Framework for Trustworthy Misinformation Detection. ICMR Rui Sun, Wenbo Hu, Qiang Liu, Richang Hong
2025	J	`jnl`	Revealing Security Flaws in Cross-Modal Retrieval Models Through Video Poisoning. IEEE Trans. Circuits Syst. Video Technol. Ming Jin, Wenbo Hu, Richang Hong, Lei Zhu
2025	—	`conf`	SATA: A Paradigm for LLM Jailbreak via Simple Assistive Task Linkage. ACL (Findings) Xiaoning Dong, Wenbo Hu, Wei Xu, Tianxing He
2025	J	`jnl`	SDE-HNN: Accurate and Well-Calibrated Forecasting Using Stochastic Differential Equations. ACM Trans. Knowl. Discov. Data Peng Cui, Zhijie Deng, Wenbo Hu, Jun Zhu
2025	A*	`conf`	SURE: Safety Understanding and Reasoning Enhancement for Multimodal Large Language Models. EMNLP Yuxin Gou, Xiaoning Dong, Qin Li, Shishen Gu, Richang Hong, Wenbo Hu
2025	J	`jnl`	Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation. IEEE Trans. Knowl. Data Eng. Wenbo Hu, Xin Sun, Qiang Liu, Le Wu, Liang Wang
2025	J	`jnl`	Understanding and Benchmarking the Trustworthiness in Multimodal LLMs for Video Understanding. CoRR Youze Wang, Zijun Chen, Ruoyu Chen, Shishen Gu, Yinpeng Dong, Hang Su, Jun Zhu, Meng Wang, Richang Hong, Wenbo Hu
2025	B	`conf`	Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models. COLING Zijun Chen, Wenbo Hu, Guande He, Zhijie Deng, Zheng Zhang, Richang Hong
2024	—	`conf`	AtomTool: Empowering Large Language Models with Tool Utilization Skills. PRCV (1) Yongle Li, Zheng Zhang, Junqi Zhang, Wenbo Hu, Yongyu Wu, Richang Hong
2024	J	`jnl`	Based on Spatial and Temporal Implicit Semantic Relational Inference for Cross-Modal Retrieval. IEEE Trans. Circuits Syst. Video Technol. Ming Jin, Wenbo Hu, Lei Zhu, Xiang Wang, Richang Hong
2024	J	`jnl`	Conformalized Graph Learning for Molecular ADMET Property Prediction and Reliable Uncertainty Quantification. J. Chem. Inf. Model. Peiyao Li, Lan Hua, Zhechao Ma, Wenbo Hu, Ye Liu, Jun Zhu
2024	J	`jnl`	Iterative Adversarial Attack on Image-Guided Story Ending Generation. IEEE Trans. Multim. Youze Wang, Wenbo Hu, Richang Hong
2024	J	`jnl`	Revisiting PCA for time series reduction in temporal dimension. CoRR Jiaxin Gao, Wenbo Hu, Yuntian Chen
2024	J	`jnl`	SATA: A Paradigm for LLM Jailbreak via Simple Assistive Task Linkage. CoRR Xiaoning Dong, Wenbo Hu, Wei Xu, Tianxing He
2024	J	`jnl`	Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models. CoRR Zijun Chen, Wenbo Hu, Guande He, Zhijie Deng, Zheng Zhang, Richang Hong
2023	J	`jnl`	Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting. CoRR Jiaxin Gao, Wenbo Hu, Yuntian Chen
2023	J	`jnl`	Deep Ensembles Meets Quantile Regression: Uncertainty-aware Imputation for Time Series. CoRR Ying Liu, Peng Cui, Wenbo Hu, Richang Hong
2023	J	`jnl`	Exploring Transferability of Multimodal Adversarial Samples for Vision-Language Pre-training Models with Contrastive Learning. CoRR Youze Wang, Wenbo Hu, Yinpeng Dong, Richang Hong
2023	—	`conf`	How to Use Language Expert to Assist Inference for Visual Commonsense Reasoning. ICDM (Workshops) Zijie Song, Wenbo Hu, Hao Ye, Richang Hong
2023	J	`jnl`	Investigating Uncertainty Calibration of Aligned Language Models under the Multiple-Choice Setting. CoRR Guande He, Peng Cui, Jianfei Chen, Wenbo Hu, Jun Zhu
2023	J	`jnl`	Iterative Adversarial Attack on Image-guided Story Ending Generation. CoRR Youze Wang, Wenbo Hu, Richang Hong
2023	A*	`conf`	Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations. KDD Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Tian Tian, Jun Zhu
2023	J	`jnl`	Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation. CoRR Wenbo Hu, Xin Sun, Qiang Liu, Shu Wu
2022	J	`jnl`	StackVAE-G: An efficient and interpretable model for time series anomaly detection. AI Open Wenkai Li, Wenbo Hu, Ting Chen, Ning Chen, Cheng Feng
2022	J	`jnl`	TgDLF2.0: Theory-guided deep-learning for electrical load forecasting via Transformer and transfer learning. CoRR Jiaxin Gao, Wenbo Hu, Dongxiao Zhang, Yuntian Chen
2021	J	`jnl`	Accurate and Reliable Forecasting using Stochastic Differential Equations. CoRR Peng Cui, Zhijie Deng, Wenbo Hu, Jun Zhu
2021	J	`jnl`	KO-PDE: Kernel Optimized Discovery of Partial Differential Equations with Varying Coefficients. CoRR Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Jun Zhu
2021	J	`jnl`	Stacking VAE with Graph Neural Networks for Effective and Interpretable Time Series Anomaly Detection. CoRR Wenkai Li, Wenbo Hu, Ning Chen, Cheng Feng
2021	A*	`conf`	Two Birds with One Stone: Series Saliency for Accurate and Interpretable Multivariate Time Series Forecasting. IJCAI Qingyi Pan, Wenbo Hu, Ning Chen
2020	A*	`conf`	Calibrated Reliable Regression using Maximum Mean Discrepancy. NeurIPS Peng Cui, Wenbo Hu, Jun Zhu
2020	J	`jnl`	Calibrated Reliable Regression using Maximum Mean Discrepancy. CoRR Peng Cui, Wenbo Hu, Jun Zhu
2020	J	`jnl`	Dynamic Window-level Granger Causality of Multi-channel Time Series. CoRR Zhiheng Zhang, Wenbo Hu, Tian Tian, Jun Zhu
2020	J	`jnl`	Series Saliency: Temporal Interpretation for Multivariate Time Series Forecasting. CoRR Qingyi Pan, Wenbo Hu, Jun Zhu
2017	J	`jnl`	Fast sampling methods for Bayesian max-margin models. Expert Syst. Appl. Wenbo Hu, Jun Zhu, Bo Zhang
2017	J	`jnl`	SAM: Semantic Attribute Modulated Language Modeling. CoRR Wenbo Hu, Lifeng Hua, Lei Li, Tian Wang, Jun Zhu, Hang Su, Bo Zhang
2017	A*	`conf`	Semi-supervised Max-margin Topic Model with Manifold Posterior Regularization. IJCAI Wenbo Hu, Jun Zhu, Hang Su, Jingwei Zhuo, Bo Zhang
2015	J	`jnl`	Stochastic Subgradient MCMC Methods. CoRR Wenbo Hu, Jun Zhu, Bo Zhang
2014	J	`jnl`	Big Learning with Bayesian Methods. CoRR Jun Zhu, Jianfei Chen, Wenbo Hu
2012	C	`conf`	Neural-network-based cooperative adaptive identification of nonlinear systems. ICARCV Weisheng Chen, Shaoyong Hua, Wenlong Ren, Wenbo Hu