Taojun ZhangGraduate Student
Department of General Surgery |
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Biography
I am a graduate student at Southern Medical University. My research lies at the intersection of artificial intelligence and healthcare. We are dedicated to designing advanced machine learning algorithms for biomedical data analysis, primarily focusing on medical images, to improve medical decision-making. Specifically, we focus on: 1) developing multimodal learning algorithms (e.g., multimodal foundation model) to integrate multi-scale biomedical data for disease prevention, diagnosis, prognosis, and treatment design; 2) building real-world learning systems to learn generalizable, trustworthy, and fair representations from imperfect medical data; and 3) developing causality-driven learning algorithms to improve their interpretability and safety for healthcare problems.
[New in Dec 2023] We have Postdoc/RA openings in multimodal learning and computational pathology. Please contact me if you are interested in this opportunity.
We are looking for self-motivated Postdoc/PhD/RA/Interns, who are interested in medical AI, multimodal learning, computational pathology, and biomedical informatics. Welcome to drop me an email with your CV and transcripts.
News
- [12/2023] Two papers were accepted by AAAI 2024.
Experience
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Southern Medical University, Guangzhou, Guangdong, ChinaSep. 2022 – Jun. 2025
Graduate Student
Advisor: Prof. Yuming Jiang
Selected Publications [Google Scholar]
2024
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Comprehensive assessment of immune context and immunotherapy response via noninvasive imaging in gastric cancer
Zepang Sun, Taojun Zhang, M Usman Ahmad, Zixia Zhou, Liang Qiu, Kangneng Zhou, Wenjun Xiong, Jingjing Xie, Zhicheng Zhang, Chuanli Chen, Qingyu Yuan, Yan Chen, Wanying Feng, Yikai Xu, Lequan Yu, Wei Wang, Jiang Yu, Guoxin Li, Yuming Jiang.
Journal of Clinical Investigation,2024.
2023
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Noninvasive imaging evaluation of peritoneal recurrence and chemotherapy benefit in gastric cancer after gastrectomy: a multicenter study
Zepang Sun, Wei Wang, Weicai Huang, Taojun Zhang, Chuanli Chen, Qingyu Yuan, Yan Chen, Kangneng Zhou, Zhen Han, Hao Feng, Hao Chen, Xiaokun Liang, Yanfeng Hu, Jiang Yu, Hao Liu, Lequan Yu, Yikai Xu, Guoxin Li, Yuming Jiang.
International Journal of Surgery, 2023. -
Non-invasive tumor microenvironment evaluation and treatment response prediction in gastric cancer using deep learning radiomics
Yuming Jiang, Kangneng Zhou, Zepang Sun, Hongyu Wang, Jingjing Xie, Taojun Zhang, Shengtian Sang, Md Tauhidul Islam, Jen-Yeu Wang, Chuanli Chen, Qingyu Yuan, Sujuan Xi, Tuanjie Li, Yikai Xu, Wenjun Xiong, Wei Wang, Guoxin Li, Ruijiang Li.
Cell Reports Medicine, 2023. -
Non-invasive CT imaging biomarker to predict immunotherapy response in gastric cancer: a multicenter study
Weicai Huang, Wenjun Xiong, Lei Tang, Chuanli Chen, Qingyu Yuan, Cheng Zhang, Kangneng Zhou, Zepang Sun, Taojun Zhang, Zhen Han, Hao Feng, Xiaokun Liang, Yonghong Zhong, Haijun Deng, Lequan Yu, Yikai Xu, Wei Wang, Lin Shen, Guoxin Li, Yuming Jiang.
Journal for ImmunoTherapy of Cancer, 2023.
Students
Current Students:| Howard Tsai Hor Chan (BSc at HKU)(PhD Student, 2021-) |
Co-supervised Students:
| Xuanyu Liu (Mphil at SUSTech)(PhD Student, 2021-)(w/ K.C. Yuen) |
Previous Mentorship:
| Jiacheng Xu (Undergraduate Intern) (BSc at HKU --> PhD at HKU) |
Recent Talks & Presentations
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Medical Image Analysis and Reconstruction with Data-efficient Learning
at VALSE 2022 workshop "医学数据分析中的深度学习方法", August 2022.
Honors & Awards
| MICCAI 2023 Young Scientist Publication Impact Award Runner-up, 2023 |
Professional Activities
Area Chair of Medical Image Computing and Computer Assisted Intervention (MICCAI’22)
Senior Program Committee of AAAI Conference on Artificial Intelligence (AAAI’22)
Co-organizer of ICCV'21 workshop on Computer Vision for Automated Medical Diagnosis
Senior Program Committee of International Joint Conference on Artificial Intelligence (IJCAI’21)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR’19-22)
Nature Machine Intelligence
Teaching
| 2023 Spring | STAT8021 Big Data Analytics |