教育背景
2013.09-2018.06  中山大学    临床医学（五年制）     本科
2018.09-2023.06  中山大学     外科学             博士（硕博连读）
论文成果   
【已发表】
1.Senescence-based Colorectal Cancer Subtyping Reveals Distinct Molecular Characteristics and Therapeutic Strategies.MedComm, 2023 Jul 26;4(4):e333. IF = 9.9【共同一作，第二】
2.Knowledge-embedded Spatio-temporal Analysis for Euploidy Embryos Identification in Couples with Chromosomal Rearrangements, Chinese Medical Journal. (Accepted) IF = 6.1【共同一作，第三】
3.An Immune, Stroma and Epithelial-Mesenchymal Transition Related signature for Predicting Recurrence and Chemotherapy Benefit in Stage II-III Colorectal Cancer. Cancer Medicine, 2023 Jan 11. IF = 4【第一作者】
4.A Metabolism-Related Radiomics Signature for Predicting the Prognosis of Colorectal Cancer. Frontiers in Molecular Bioscience, 2021 Jan 7;7:613918. IF = 5【第一作者】
5.Prognostic value of preoperative carcinoembryonic antigen/tumor size in rectal cancer. World Journal of Gastroenterology.2019 Sep 7;25(33):4945-4958. IF = 4.3【第一作者】
6.Predicting prognosis and immunotherapy response among colorectal cancer patients based on a tumor immune microenvironment-related lncRNA signature. Frontiers in Genetics, 2022 Sep 7;13:993714. IF = 3.7【共同一作，第二】
7.Multi-Size Deep Learning Based Preoperative Computed Tomography Signature for Prognosis Prediction of Colorectal Cancer. Frontiers in Genetics, 2022 May 12;13:880093. IF = 3.7【共同一作，第二】
【在研课题】
8.Clinically Applicable Multimodal Fusion Model for Survival Prediction of Colorectal Cancer.【第一作者】 【投稿中】
9.Stage II Colorectal Cancer Survival Prediction Through Exploring High-Order Information on Whole-Slide Histopathological Images.【共同一作，第二】【投稿中】
10.Deep Learning-based Survival Prediction and Treatment Guidance using Preoperative CT Images in Colorectal Cancer.【第一作者】
11.CT-based Radiogenomic Analysis for Prediction of Survival Outcomes and Adjuvant Chemotherapy Benefit in Colorectal Cancer.【第一作者】
12.Genomic hallmarks and structural variations in 1001 colorectal cancers.【共同一作，第三】
13.PIANOS: A Platform Independent and Normalization Free Single-sample Classifier for Colorectal Cancer.【第一作者】
14.MotifCC: The Multi-Omics Tumor Immune Features Clustering of Colorectal Cancer. 【共同一作，第二】
15.Deciphering tertiary lymphoid structure heterogeneity reveals prognostic signature and therapeutic potentials for colorectal cancer. 【共同通讯，倒数第二】
16.Translating Molecular Subtypes into Clinically Applicable Radiogenomic Biomarkers for Survival Prediction of Colorectal Cancer.【共同一作，第二】