Fan Wu

Ph.D. of Nanyang Technological University.

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Thanks for stopping by! :wave:

Research: My interest lies in practical machine learning methods and their theoretical analysis, spanning multiple areas such as Out-of-Distribution Generalization, Trustworthy Machine Learning, and Generative models. Specifically, I am interested in developing methods that enhance the capacity of learning predictive representations. Moreover, I strongly believe that the potential of large deep learning models is yet to be fully explored. My ultimate goal is to create a unified, robust, and generalizable machine learning method that is cost-efficient and accessible to everyone.

news

Jul 17, 2024 Embark on my Ph.D. journey at Nanyang Technological University (NTU).
Feb 5, 2024 One paper is accepted by International Journal of Computer Vision (IJCV), IF=19.5.
Dec 9, 2023 One paper is accepted to AAAI 2024.
Dec 1, 2021 One paper is accepted to Computers in Biology and Medicine, IF=7.7.
Oct 1, 2021 One paper is accepted by Knowledge-Based Systems, IF=8.8.

selected publications

  1. AAAI
    G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection
    Fan Wu, Jinling Gao, HONG Lanqing, and 3 more authors
    In The 38th Annual AAAI Conference on Artificial Intelligence, 2023
  2. ICLR
    Object Detection with OOD Generalizable Neural Architecture Search
    Fan Wu, Kaican Li, Jinling Gao, and 5 more authors
    In ICLR Domain Generalization Workshop, 2023
  3. Journal
    AGNet: Automatic generation network for skin imaging reports
    Fan Wu, Haiqiong Yang, Linlin Peng, and 5 more authors
    Computers in Biology and Medicine, 2022