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ORCIDWenbo Hu 0001
Person information
- unicode name: 胡文波
- affiliation: School of Computer Science and Information, Hefei University of Technology, Hefei, China
- affiliation (former): Tsinghua University, State Key Laboratory of Intelligent Technology and Systems, TNList, Beijing, China
- affiliation (former): Tsinghua University, Department of Computer Science and Technology, Beijing, China
Other persons with the same name
- Wenbo Hu — disambiguation page
- Wenbo Hu 0002
![[0000-0001-6082-4966]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-6082-4966")
— Chinese University of Hong Kong, Hong Kong - Wenbo Hu 0003 — Beijing University of Posts and Telecommunications, Beijing, China
- Wenbo Hu 0004 — Shanghai Jiao Tong University, China
- Wenbo Hu 0005 — Chinese University of Hong Kong, China
- Wenbo Hu 0006 — University of California, Los Angeles, CA, USA
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2020 – today
- 2024
[j3]Youze Wang, Wenbo Hu, Richang Hong:
Iterative Adversarial Attack on Image-Guided Story Ending Generation. IEEE Trans. Multim. 26: 6117-6130 (2024)- [c7]Yongle Li, Zheng Zhang, Junqi Zhang, Wenbo Hu, Yongyu Wu, Richang Hong:
AtomTool: Empowering Large Language Models with Tool Utilization Skills. PRCV (1) 2024: 323-337 - 2023
- [c6]Zijie Song, Wenbo Hu, Hao Ye, Richang Hong:
How to Use Language Expert to Assist Inference for Visual Commonsense Reasoning. ICDM (Workshops) 2023: 521-527 - [c5]Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Tian Tian, Jun Zhu:
Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations. KDD 2023: 1595-1607 - [i16]Wenbo Hu, Xin Sun, Qiang Liu, Shu Wu:
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation. CoRR abs/2303.12973 (2023) - [i15]Youze Wang, Wenbo Hu, Richang Hong:
Iterative Adversarial Attack on Image-guided Story Ending Generation. CoRR abs/2305.13208 (2023) - [i14]Jiaxin Gao, Wenbo Hu, Yuntian Chen:
Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting. CoRR abs/2305.18838 (2023) - [i13]Youze Wang, Wenbo Hu, Yinpeng Dong, Richang Hong:
Exploring Transferability of Multimodal Adversarial Samples for Vision-Language Pre-training Models with Contrastive Learning. CoRR abs/2308.12636 (2023) - [i12]Guande He, Peng Cui, Jianfei Chen, Wenbo Hu, Jun Zhu:
Investigating Uncertainty Calibration of Aligned Language Models under the Multiple-Choice Setting. CoRR abs/2310.11732 (2023) - [i11]Ying Liu, Peng Cui, Wenbo Hu, Richang Hong:
Deep Ensembles Meets Quantile Regression: Uncertainty-aware Imputation for Time Series. CoRR abs/2312.01294 (2023) - 2022
- [j2]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: 101-110 (2022) - [i10]Jiaxin Gao, Wenbo Hu, Dongxiao Zhang, Yuntian Chen:
TgDLF2.0: Theory-guided deep-learning for electrical load forecasting via Transformer and transfer learning. CoRR abs/2210.02448 (2022) - 2021
- [c4]Qingyi Pan, Wenbo Hu, Ning Chen:
Two Birds with One Stone: Series Saliency for Accurate and Interpretable Multivariate Time Series Forecasting. IJCAI 2021: 2884-2891 - [i9]Peng Cui, Zhijie Deng, Wenbo Hu, Jun Zhu:
Accurate and Reliable Forecasting using Stochastic Differential Equations. CoRR abs/2103.15041 (2021) - [i8]Wenkai Li, Wenbo Hu, Ning Chen, Cheng Feng:
Stacking VAE with Graph Neural Networks for Effective and Interpretable Time Series Anomaly Detection. CoRR abs/2105.08397 (2021) - [i7]Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Jun Zhu:
KO-PDE: Kernel Optimized Discovery of Partial Differential Equations with Varying Coefficients. CoRR abs/2106.01078 (2021) - 2020
- [c3]Peng Cui, Wenbo Hu, Jun Zhu:
Calibrated Reliable Regression using Maximum Mean Discrepancy. NeurIPS 2020 - [i6]Zhiheng Zhang, Wenbo Hu, Tian Tian, Jun Zhu:
Dynamic Window-level Granger Causality of Multi-channel Time Series. CoRR abs/2006.07788 (2020) - [i5]Peng Cui, Wenbo Hu, Jun Zhu:
Calibrated Reliable Regression using Maximum Mean Discrepancy. CoRR abs/2006.10255 (2020) - [i4]Qingyi Pan, Wenbo Hu, Jun Zhu:
Series Saliency: Temporal Interpretation for Multivariate Time Series Forecasting. CoRR abs/2012.09324 (2020)
2010 – 2019
- 2017
- [j1]Wenbo Hu, Jun Zhu, Bo Zhang:
Fast sampling methods for Bayesian max-margin models. Expert Syst. Appl. 69: 277-287 (2017) - [c2]Wenbo Hu, Jun Zhu, Hang Su, Jingwei Zhuo, Bo Zhang:
Semi-supervised Max-margin Topic Model with Manifold Posterior Regularization. IJCAI 2017: 1865-1871 - [i3]Wenbo Hu, Lifeng Hua, Lei Li, Tian Wang, Jun Zhu, Hang Su, Bo Zhang:
SAM: Semantic Attribute Modulated Language Modeling. CoRR abs/1707.00117 (2017) - 2015
- [i2]Wenbo Hu, Jun Zhu, Bo Zhang:
Stochastic Subgradient MCMC Methods. CoRR abs/1504.07107 (2015) - 2014
- [i1]Jun Zhu, Jianfei Chen, Wenbo Hu:
Big Learning with Bayesian Methods. CoRR abs/1411.6370 (2014) - 2012
- [c1]Weisheng Chen, Shaoyong Hua, Wenlong Ren, Wenbo Hu:
Neural-network-based cooperative adaptive identification of nonlinear systems. ICARCV 2012: 64-69
Coauthor Index
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