Cheng-Hang LI

Cheng-Hang LI

Research Student

Sun Yat-sen University



Chenghang LI is a master student of Computer Science and Technology. He is 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. Besides, he is also working on multimodal fusion of endoscopy and pathology information with Sensetime Technology.

Interests

  • Deep Learning
  • Feature Fusion

Education

  • MEng in Computer Science and Technology, 2019 - now

  • BEng in Polymer Materials and Science, 2015 - 2019

Publications

A Transcription Factor Signature Can Identify the CMS4 Subtype and Stratify the Prognostic Risk of Colorectal Cancer
Multi-Size Deep Learning Based Preoperative Computed Tomography Signature for Prognosis Prediction of Colorectal Cancer
DNA Repair–Related Gene Signature in Predicting Prognosis of Colorectal Cancer Patients
A Metabolism-Related Radiomics Signature for Predicting the Prognosis of Colorectal Cancer
Integrating diffusion components of multi-omics datasets with application to cancer molecular subtyping
A signature of hypoxia-related factors reveals functional dysregulation and robustly predicts clinical outcomes in stage I/II colorectal cancer patients