About Me

From January 2024, I am a postdoctoral research fellow at King Abdullah University of Science and Technology (KAUST), working with Prof. Xin Gao. From April 2023 to January 2024, I was a postdoctoral research fellow at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) and Carnegie Mellon University (CMU), working with Prof. Tongliang Liu and Prof. Kun Zhang. Before that, I received my Ph.D. at Shandong University in March 2023 (early graduation), advised by Prof. Yilong Yin. Between 2019 and 2020, I had the opportunity to be a visiting student at the LAMDA group of Nanjing University, led by Prof. Zhi-Hua Zhou. Earlier, from 2016 to 2018, I was a visiting student in Prof. Shuo Li’s group at Western University in Canada. In 2018, I also undertook an internship at Baidu. My academic foundation was laid at Shandong University of Traditional Chinese Medicine, where I obtained my Bachelor’s degree in 2016 and my Master’s degree in 2019, both in Biomedical Engineering. Throughout this period, Prof. Benzheng Wei served as my mentor.

My primary academic interest lies in advancing the theory and algorithms for robust machine learning in open-world environments. I am also dedicated to fostering the growth of AI for Science (biomedical science) and firmly believe in the essential research potential of open scenarios within AI for Science. My ultimate academic aspiration is to enhance the robustness and generalization capability of machine learning in non-stationary and imperfect settings. I aim to ensure that machine learning can handle a wide range of abnormal and complex environmental shifts, paving the way for human-trusted, widely adopted intelligent systems.

News

  • 2024/03/05: 1 paper accepted to ICLR 2024 Workshop ME-FoMo.
  • 2024/02/27: 1 paper accepted to CVPR 2024.
  • 2023/12/13: Exciting news: A preliminary investigation on the robustness of GPT-4V on distribution shifts has been released and is now featured by AK on the ‘Daily Papers’ page.
  • 2023/12/09: 1 paper accepted to AAAI 2024.
  • 2023/11/25: 1 paper accepted to KBS.
  • 2023/09/22: 1 paper accepted to NeurIPS 2023.
  • 2023/07/26: 2 papers accepted to ACM MM 2023.
  • 2023/05/17: 1 paper accepted to TKDE.
  • 2023/05/12: 1 paper accepted to Pattern Recognition.
  • 2023/02/28: 1 paper accepted to CVPR 2023.
  • 2022/11/19: 1 paper accepted to AAAI 2023.
  • 2022/10/01: 1 paper accepted to TPAMI.
  • 2022/09/17: 1 paper accepted to ACML 2022.
  • 2022/07/05: 1 paper accepted to Science China Information Sciences.
  • 2022/06/30: 1 paper (oral) accepted to ACM MM 2022.
  • 2022/06/13: 1 paper accepted to TIP.
  • 2022/05/20: 1 paper accepted to KBS.
  • 2022/03/03: 2 papers accepted to CVPR 2022.
  • 2021/12/01: 1 paper (oral) accepted to AAAI 2022.
  • 2020/12/02: 1 paper accepted to IPMI 2022.
  • 2020/09/25: 1 paper accepted to MedIA.
  • 2020/05/15: 1 paper accepted to TMI.
  • 2020/04/20: 1 paper accepted to IJCAI 2020.

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