Wenbo Hu

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 17

Top Topics

Prostate Biopsy

Differential Equations

Surgical Planning

Language Modeling

Top Venues

ACM Trans. Graph.

Publications

Youze Wang, Wenbo Hu, Richang Hong
Iterative Adversarial Attack on Image-Guided Story Ending Generation. IEEE Trans. Multim. 26 (2024)
Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Tian Tian, Jun Zhu
Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations. KDD (2023)
Guande He, Peng Cui, Jianfei Chen, Wenbo Hu, Jun Zhu
Investigating Uncertainty Calibration of Aligned Language Models under the Multiple-Choice Setting. CoRR (2023)
Youze Wang, Wenbo Hu, Richang Hong
Iterative Adversarial Attack on Image-guided Story Ending Generation. CoRR (2023)
Zijie Song, Wenbo Hu, Hao Ye, Richang Hong
How to Use Language Expert to Assist Inference for Visual Commonsense Reasoning. ICDM (Workshops) (2023)
Youze Wang, Wenbo Hu, Yinpeng Dong, Richang Hong
Exploring Transferability of Multimodal Adversarial Samples for Vision-Language Pre-training Models with Contrastive Learning. CoRR (2023)
Ying Liu, Peng Cui, Wenbo Hu, Richang Hong
Deep Ensembles Meets Quantile Regression: Uncertainty-aware Imputation for Time Series. CoRR (2023)
Jiaxin Gao, Wenbo Hu, Yuntian Chen
Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting. CoRR (2023)
Wenkai Li, Wenbo Hu, Ting Chen, Ning Chen, Cheng Feng
StackVAE-G: An efficient and interpretable model for time series anomaly detection. AI Open 3 (2022)
Jiaxin Gao, Wenbo Hu, Dongxiao Zhang, Yuntian Chen
TgDLF2.0: Theory-guided deep-learning for electrical load forecasting via Transformer and transfer learning. CoRR (2022)
Menghan Xia, Wenbo Hu, Tien-Tsin Wong, Jue Wang
Disentangled Image Colorization via Global Anchors. ACM Trans. Graph. 41 (6) (2022)
Zhiheng Zhang, Wenbo Hu, Tian Tian, Jun Zhu
Dynamic Window-level Granger Causality of Multi-channel Time Series. CoRR (2020)
Peng Cui, Wenbo Hu, Jun Zhu
Calibrated Reliable Regression using Maximum Mean Discrepancy. CoRR (2020)
Peng Cui, Wenbo Hu, Jun Zhu
Calibrated Reliable Regression using Maximum Mean Discrepancy. NeurIPS (2020)
Wenbo Hu, Jun Zhu, Bo Zhang
Fast sampling methods for Bayesian max-margin models. Expert Syst. Appl. 69 (2017)
Wenbo Hu, Lifeng Hua, Lei Li, Tian Wang, Jun Zhu, Hang Su, Bo Zhang
SAM: Semantic Attribute Modulated Language Modeling. CoRR (2017)
Wenbo Hu, Jun Zhu, Hang Su, Jingwei Zhuo, Bo Zhang
Semi-supervised Max-margin Topic Model with Manifold Posterior Regularization. IJCAI (2017)
Wenbo Hu, Jun Zhu, Bo Zhang
Stochastic Subgradient MCMC Methods. CoRR (2015)
Jun Zhu, Jianfei Chen, Wenbo Hu
Big Learning with Bayesian Methods. CoRR (2014)
Weisheng Chen, Shaoyong Hua, Wenlong Ren, Wenbo Hu
Neural-network-based cooperative adaptive identification of nonlinear systems. ICARCV (2012)