Yaochen

Yaochen Zhu (朱耀晨)

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I am a second-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 causal inference, probabilistic graphical models, and their combination with DNNs to address key problems in data mining, with the emphasis on debiasing, reducing uncertainty, promoting fairness, and eliminating the influence of unobserved confounders. I also work closely with Dr. Liang Wu from LinkedIn.

E-mail  /  Google Scholar  /  Github  /  LinkedIn

News

  • 01/2024, one paper has been accepted by WWW 2024!
  • 05/2023, one paper has been accepted by KDD 2023!
  • 01/2023, Release a survey on causal inference in recommender system!
  • 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!
  • 04/2022, one paper has been accepted by WWW 2022 (accept rate: 17.7%).
  • Publications

    Surveys:

    1. Knowledge Editing for Large Language Models: A Survey
      Song Wang, Yaochen Zhu, Haochen Liu, Zaiyi Zheng, Chen Chen, Jundong Li
      ArXiv 2023 | paper
    2. Causal Inference in Recommender Systems: A Survey of Strategies for Bias Mitigation, Explanation, and Generalization
      Yaochen Zhu, Jing Ma, Jundong Li
      ArXiv 2023 | Chapter 10, Machine Learning for Causal Inference, Springer | paper

    Conference Papers:

    1. Collaborative Large Language Model for Recommender Systems
      Yaochen Zhu, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
      WWW 2024 | paper | codes
    2. Path-specific Counterfactual Fairness for Recommender Systems
      Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
      KDD 2023 | paper | codes
    3. Mutually-regularized dual collaborative variational auto-encoder for recommendation systems
      Yaochen Zhu and Zhenzhong Chen
      WWW 2022 | paper | codes | slides
    4. 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
    5. 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. Deep causal reasoning for recommendations
      Yaochen Zhu, Jing Yi, Jiayi Xie, Zhenzhong Chen
      ACM TIST (submitted) | paper | codes
    2. Variational bandwidth auto-encoder for hybrid recommender systems
      Yaochen Zhu and Zhenzhong Chen
      IEEE TKDE, 2022. | paper | codes
    3. Cross-modal variational auto-encoder for micro-video background music recommendation
      Jing Yi, Yaochen Zhu, Jiayi Xie, Zhenzhong Chen
      IEEE TMM, 2021. | paper | codes
    4. Micro-video popularity prediction via multimodal variational information bottleneck
      Jiayi Xie, Yaochen Zhu, Zhenzhong Chen
      IEEE TMM, 2021. | paper | codes
    5. Affective video content analysis via multimodal deep quality embedding network
      Yaochen Zhu, Zhenzhong Chen, Feng Wu
      IEEE TAFFC, 2020. | paper | codes

    Experiences

  • LinkedIn Inc: Applied Research Intern, May 2023 - Aug 2023
          Reseach Topic: Large Language Model for Recommendations
          Mentor: Liang Wu, Manager: Qi Guo, Director: Liangjie Hong

  • Service

  • Program Committee Members: CIKM 2022, CIKM 2023, AISTATS 2024, SDM 2024

  • Invited Conference Reviewer: SIGKDD 2023, WWW 2024

  • Invited Journal Reviewer: IEEE TKDE, ACM TOIS, ACM RecSys, 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

  • 2023, KDD 2023, SDM 2023 Student Travel Award

  • 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

  • About Me

    I love old rock bands: Pink Floyd, Lynyrd Skynyrd, CCR, Beyond, etc.
    Some of my favorite songs are:

  • Have You Ever Seen the Rain (CCR, 1971) [try me]
  • Free Bird (Lynyrd Skynyrd, Jacksonville, FL, 1974) [try me]
  • Simple Man (Lynyrd Skynyrd, Jacksonville, FL, 1973) [try me]
  • Wish You Were Here (Pink Floyd, 1975) [try me]
  • It Never Rains in Southern California (Especially after I embarked on my internship at Sunnyvale, CA) [try me]
  • 灰色轨迹 (Beyond, 1991 Live) [try me][solo]
  • I'm also learning to play electronic guitar solo myself. Here's what I have accomplished (March 2023): [video]
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    [Fun Facts] My current roommate & labmate Binchi is the best piano player I've ever met.

    The source codes of this website are borrowed from Yunhe Wang, who kindly shared it on Zhihu.
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    Aureliano, Está lloviendo en Macondo - Cien Años De Soledad, Gabriel García Márquez