Jingwei Guo (郭经纬)

PhD Candidate @ Department of Electrical Engineering and Electronics, University of Liverpool

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I am currently a fourth year PhD student in Department of Electrical Engineering and Electronics, University of Liverpool, under the supervision of Prof. Kaizhu Huang and Prof. Xinping Yi. I received my B.S. degree from Xi’an Jiaotong-Liverpool University in 2018. My research interests focus on, but are not limited to, graph machine learning. Recently, I have been developing theories and algorithms to enhance Graph Neural Networks (GNNs). These enhancements are specifically aimed at combating oversmoothing, handling graph heterophily, capturing long-range dependencies, and allievating domain shifts.

news

Apr 2024 Invited as a guest lecturer at Duke Kunshan University~
Feb 2024 Happy to join Duke Kunshan University to start my research intern!
Dec 2023 Thrilled to share that our paper titled “Unraveling Batch Normalization for Realistic Test-Time Adaptation” has been accepted to AAAI 2024 for oral presentation. Congrats to my co-author, Zixian Su!

selected papers

    1. WWW
      Graph Neural Networks with Diverse Spectral Filtering
      Jingwei Guo, Kaizhu Huang, Xinping Yi, and Rui Zhang
      In Proceedings of the ACM Web Conference, 2023
    2. TNNLS
      Learning disentangled graph convolutional networks locally and globally
      Jingwei Guo, Kaizhu Huang, Xinping Yi, and Rui Zhang
      IEEE Transactions on Neural Networks and Learning Systems, 2022