Cheng-Hang LI

Cheng-Hang LI

Research Assistant

Biography


Chenghang LI is a master of Computer Science and Technology co-supervised by the Sixth Affiliated Hospital and School Computer Science and Engineering at Sun Yat-sen University. He is interested in applying advanced machine learning technologies to medical research. His current research topics include supervised learning of cancer molecular subtypes with multi-omics data, survival analysis with genomic data and computational pathology images based on deep learning. He completed an MPhil in Artificial Intelligence at the Hong Kong University of Science and Technology (Guangzhou), where he deepened his expertise in deep learning and its applications in pathology and radiology. Now, he works at the Cancer Institute of Peking University & HKUST Medical Center. In his current role, he continues to focus on integrating artificial intelligence and machine learning techniques into oncology research.

Research Interests

  • Deep Learning
  • Feature Fusion

Education

  • Mphil in Artificial Intelligence
    The Hong Kong University of Science and Technology Guangzhou
    2022 - 2024
  • MEng in Computer Science and Technology
    Sun Yat-sen University
    2019 - 2022
  • BEng in Polymer Materials and Science
    Sichuan University
    2015 - 2019

Related Publications

† First or co-first author, * Corresponding or co-corresponding author, bold names are lab members

(2025). Journal Article CRCFound: A Colorectal Cancer CT Image Foundation Model Based on Self-Supervised Learning. Advanced Science.
(2025). Journal Article Personalized risk stratification in colorectal cancer via PIANOS system. Nature Communications.
(2024). Journal Article Structure Embedded Nucleus Classification for Histopathology Images. IEEE Transactions on Medical Imaging.
(2019). Journal Article A signature of hypoxia-related factors reveals functional dysregulation and robustly predicts clinical outcomes in stage I/II colorectal cancer patients. Cancer Cell International.