Wenbo Hu's Homepage (胡文波)

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CS&T Department,
Tsinghua University
Email: hwb13 [AT] tsinghua [DOT] org [DOT] cn

诚招学生/For prospective students

I am always recruiting postgraduate/undergraduate students as interns. [See details.]

About me

I received the Ph.D degree from the Department of Computer Science and Technology at Tsinghua University in 2018, where I was jointly supervised by Prof. Bo Zhang and Prof. Jun Zhu. During my Ph.D study, I also work with Prof. Hang Su closely.

Recent News!

[Full list of News!]


My research interests include:

  • Probablistic modeling and inference;

  • truthworthy machine learning, including uncertainty, interpretability and causalities;

  • time series analysis.

Recent Publications

  • KO-PDE: Kernel Optimized Discovery of Partial Differential Equations with Varying Coefficients. Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Jun Zhu. [arXiv]

  • Stacking VAE with Graph Neural Networks for Effective and Interpretable Time Series Anomaly Detection. Wenkai Li, Wenbo Hu, Ning Chen, Cheng Feng. [arXiv]

  • Accurate and Reliable Forecasting using Stochastic Differential Equations. Peng Cui, Zhijie Deng, Wenbo Hu and Jun Zhu. [arXiv]

  • Two Birds with One Stone: Series Saliency for Accurate and Interpretable Multivariate Time Series Forecasting. Qingyi Pan, Wenbo Hu and Ning Chen. The 30th International Joint Conference on Artificial Intelligence (IJCAI), 2021. [pdf]

[Full list of publications] [Google Scholar]

Honors and Awards

  • Best AI Professional Award of RealAI, 2019.

  • Best Paper Award at Cross-Strait Tsinghua Graduate Academic Forum, 2018

  • Schlumberger scholarship, 2017.

  • Best Poster Award at AEARU-CSWT Workshop, 2015.