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
DNA Repair–Related Gene Signature in Predicting Prognosis of Colorectal Cancer PatientsMin-yi Lv#, Wei Wang#, Min-Er Zhong#, Cai Du, De-jun Fan, Cheng-hang Li, Wei-Bin Kou, Ze-ping Huang, Xin Duan, Chu-ling Hu, Qi-qi Zhu, Xiao-sheng He*, Feng Gao*
DOI
Frontiers in Genetics 2022
A Metabolism-Related Radiomics Signature for Predicting the Prognosis of Colorectal CancerDu Cai#, Xin Duan#, Wei Wang#, Ze-Ping Huang, Qi-Qi Zhu, Min-Er Zhong, Min-Yi Lv, Cheng-Hang Li, Wei-Bin Kou, Xiao-Jian Wu*, Feng Gao*
PMID
DOI
Frontiers in Molecular Biosciences 2021
A signature of hypoxia-related factors reveals functional dysregulation and robustly predicts clinical outcomes in stage I/II colorectal cancer patientsYi-Feng Zou, Yu-Ming Rong, Ying-Xin Tan, Jian Xiao, Zhao-Liang Yu, Yu-Feng Chen, Jia Ke, Cheng-Hang Li, Xi Chen, Xiao-Jian Wu, Ping Lan, Xu-Tao Lin*, Feng Gao*
PMID
DOI
Cancer Cell International 2019