Yaochen

Yaochen Zhu (朱耀晨)

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I am a first-year Ph.D. student at UVA, advised by Prof. Jundong Li. Previously, I earned my master's degree at IIP Lab, Wuhan University, advised by Prof. Zhenzhong Chen. Currently, I work on probabilistic graphical models, causal inference, and their combination with DNNs to address key problems in user modeling, recommender systems and other areas of data mining, with the emphasis on debiasing, reducing uncertainty, promoting fairness, and eliminating the influence of unobserved confounders.

E-mail  /  Google Scholar  /  Github

News

  • 07/2022, I joined Prof. Jundong Li's group at UVA as a Ph.D student!
  • 06/2022, I graduated from Wuhan University with Honor!
  • 04/2022, Honored to receive the distinguished fellowship of Eng. School, UVA!
  • 02/2022, one paper has been accepted by IEEE Trans. Knowl. Data Eng (IF: 6.977).
  • 01/2022, one paper has been accepted by WWW 2022 (accept rate: 17.7%).
  • Publications

    Preprints:

    1. Deep causal reasoning for recommendations
      Yaochen Zhu, Jing Yi, Jiayi Xie, Zhenzhong Chen
      ArXiv 2022 | paper | codes

    Conference Papers:

    1. Mutually-regularized dual collaborative variational auto-encoder for recommendation systems
      Yaochen Zhu and Zhenzhong Chen
      WWW 2022 | paper | codes | slides
    2. A multimodal variational encoder-decoder framework for micro-video popularity prediction
      Jiayi Xie*, Yaochen Zhu*, ..., Zhenzhong Chen (Short paper, * for equal contribution)
      WWW 2020 | paper | codes
    3. Multimodal deep denoising framework for affective video content analysis
      Yaochen Zhu, Zhenzhong Chen, Feng Wu
      ACM MM 2019 | paper | Oral | image1 | image2 | image3 | image4

    Journal Papers:

    1. Variational bandwidth auto-encoder for hybrid recommender systems
      Yaochen Zhu and Zhenzhong Chen
      IEEE TKDE, 2022. | paper | codes
    2. Cross-modal variational auto-encoder for micro-video background music recommendation
      Jing Yi, Yaochen Zhu, Jiayi Xie, Zhenzhong Chen
      IEEE TMM, 2021. | paper
    3. Micro-video popularity prediction via multimodal variational information bottleneck
      Jiayi Xie, Yaochen Zhu, Zhenzhong Chen
      IEEE TMM, 2021. | paper | codes
    4. Affective video content analysis via multimodal deep quality embedding network
      Yaochen Zhu, Zhenzhong Chen, Feng Wu
      IEEE TAFFC, 2020. | paper | codes

    Service

  • Program Committee Members: CIKM 2022

  • Reviewer: IEEE TKDE, IEEE TBD, IEEE TCYB

  • Teaching Assistantship

  • 2021.09 - 2022.01: Artificial Intelligence, Wuhan University. Teaching Assistant

  • 2021.09 - 2022.01: Digital Image Processing, Wuhan University. Teaching Assistant

  • Awards

  • 2020, FIRST PRICE in China Maker Innovation & Entrepreneurship Contest. | certificate

  • 2020, SECOND PRICE in China Post-Graduate Mathematical Contest in Modeling. | certificate

  • 2020, FIRST CLASS graduate scholarship of Wuhan University. | certificate

  • 2016, 2017, 2018, FIRST CLASS undergraduate scholarship of Central South University. | certificate

  • 2016, 2018, National Scholarship (Top 0.2% Nationwide) | certificate

  • The source codes of this website are borrowed from Yunhe Wang, who kindly shared it on Zhihu.
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