Ziyang Xu

Ziyang Xu

Ph.D. Student in CUHK MATH

Hi! I’m Ziyang Xu (徐子扬, StatXzy7), Ph.D. Student in Mathematics at Department of Mathematics, The Chinese University of Hong Kong (CUHK) from August 2024, advised by Prof. Tieyong Zeng.

My research interests include AI for Science, Bioinformatics, Medical Image Processing…

You can find my CV here: Ziyang Xu’s Curriculum Vitae. Feel free to reach out if you want to chat or collaborate!

Academic Background

Education

  • The Chinese University of Hong Kong, Ph.D. in Mathematics, Hong Kong SAR, China, Aug.2024 - Present
  • Lanzhou University, B.S. in Statistics, Lanzhou, China, Sept. 2020 - Jun. 2024
  • High School Affiliated To Nanjing Normal University, Nanjing, China, Sept. 2017 - Jul. 2020

Short Visiting / Intern

  • Peking University, BICMR, Summer school “AI for Mathematics”, Beijing, China, Jul. 2024 - Aug. 2024
  • Western University, The Schulich School of Medicine & Dentistry, Mitacs Globalink Research Intern, (Advisor: Pingzhao Hu), London, Canada, Jul. 2023 - Oct. 2023
  • University of Notre Dame, ACMS, Summer School “Data Science and Machine Learning” (Online), USA, Aug. 2022

Honors and Awards(Selected, listed by time)

  • Brilliant Graduate of Lanzhou University - Academic Type 2024 (出彩毕业生-学术深造型) (Top 5 from university) (Jun. 2024) News
  • CUHK Vice-Chancellor’s PhD Scholarship (March. 2024)
  • Outstanding Graduate of Gansu Province(甘肃省优秀毕业生) (March. 2024) News
  • Chun-Tsung Scholar(䇹政学者), (The 25th Annual) (May. 2023) Figure News
  • Mitacs Globalink Research Intern Scholarship, (2023) (April. 2023) Figure News
  • National Scholarship(国家奖学金), (Rank 1/117) (Dec. 2022) Figure News
  • Merit Student of Gansu Province(甘肃省三好学生), $(0.6 \%)$ (Jun. 2022) Figure News
  • National Scholarship(国家奖学金), (Rank 1/157) (Dec. 2021) Figure News

Publications

  • PTransIPs: Identification of phosphorylation sites enhanced by protein PLM embeddings[PDF] [Code].

    Ziyang Xu†, Haitian Zhong†, Bingrui He, Xueying Wang, Tianchi Lu. Accepted by IEEE Journal of Biomedical and Health Informatics (J-BHI) (SCI Q1, 中科院一区, IF=7.7)

    • Co-author: Haitian Zhong, Tianchi Lu
    • PTransIPs, a new deep learning framework for the identification of phosphorylation sites. PTransIPs utilizes protein pre-trained language model (PLM) embeddings to achieve SOTA performance, with AUCs of 0.9232 and 0.9660 for S/T and Y sites, respectively. PTransIPs is also a universal framework for all peptide bioactivity tasks.

Past Research

  • Deep Learning for Integrating Multimodal Data for Precision Medicine
    • Mitacs Globalink Research Internship 2023 (Advisor: Pingzhao Hu)
    • Western University, Canada, (Jan. 2023 - Present)
    • Developing deep learning algorithms for predicting spatial transcriptomics from histology images.
  • Multi-Resolution Tensor Learning for High-Dimensional Spatiotemporal Data
    • Hui-Chun Chin and Tsung-Dao Lee Chinese Undergraduate Research Endowment(CURE) (Advisor: Zhouping Li)
    • Lanzhou University, China, (Mar. 2022 - Mar. 2023)
    • Developed an adaptive multi-resolution tensor learning algorithm applied to precipitation prediction inland
  • Fundamental Theory of Visual Cryptography Scheme: Linear Algebra Construction [PDF]
    • National Training Program of Innovation and Entrepreneurship for Undergraduates (Advisor: XingXing Jia)
    • Lanzhou University, China, (Mar. 2021 - Mar. 2023)
    • Constructed multi-share XVCS with perfect pixel expansion and contrast, providing necessary and sufficient conditions.

Academic services

  • Reviewer: IEEE Journal of Biomedical and Health Informatics
  • Membership: IEEE Student Member

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