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Jiyuan Liu is a lecturer with the College of Systems Engineering, National University of Defense Technology (NUDT), China. He received the Ph.D. degree from the NUDT in 2022. Previously, he was an undergraduate of QianxueSen Class (QXSC) at NUDT from 2013 to 2017, an visiting student of Jiangchuan Liu's lab with the support from China Scholarship Council (CSC) from 2016 to 2017. He was co-advised by Xinwang Liu, Yuexiang Yang and Marius Kloft since 2019. His research interest is theory and algorithms of statistical machine learning and its applications, especially in multi-view learning, federated learning, anomaly detection and contrastive learning.


News

  • 2024/12 - Two papers are accepted by AAAI25.
  • 2024/11 - One paper is accepted by TNNLS.
  • 2024/XX - I am invited to server as a reviewer of ICLR25/CASE24/AISTATS25/CVPR25/ICML25.
  • 2024/09 - A novel research on Federated Multi-view Learning is available on Arxiv.
  • 2024/07 - One papers is accepted by ACMMM24.
  • 2024/05 - I am invited to server as a reviewer of NeurIPS 2024.
  • 2024/05 - I am invited to server as a reviewer of AAAI 2025.
  • 2024/05 - I am invited to server as a reviewer of ACCV 2024.
  • 2024/05 - One paper is accepted by ICML.
  • 2024/04 - One paper is accepted by TPAMI.
  • 2024/04 - One paper is accepted by TNNLS.
  • 2024/03 - One paper is accepted by TIP.
  • 2024/01 - I am invited to server as a reviewer of ICML/ECCV/ACCV/ACMMM 2024.
  • 2023/11 - One paper is accepted by IEEE TFS.
  • Welcome to discuss the paper Contrastive Multi-view Kernel Learning [code]

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