I am pursuing my Ph.D. at the Center for Data Science of Peking University, Beijing, under the guidance of Professor Dong. My main research direction is multimodal medicine AI.

Education

• From September 2019 to present: Ph.D. student in Data Science, Center for Data Science, Peking University.
• From September 2015 to June 2019: Bachelor’s degree in Computer Science and Technology, College of Information Science and Engineering, Hunan University.

Information

• Email: czifan@pku.edu.cn
• Github: https://github.com/czifan/
• Blog: https://www.cnblogs.com/CZiFan/

Publications

• co-first author Zifan Chen, Yang Chen, Yu Sun, Lei Tang, Li Zhang, Yajie Hu, Meng He, Zhiwei Li, Siyuan Cheng, Jiajia Yuan, Zhenghang Wang, Yakun Wang, Jie Zhao, Jifang Gong, Liying Zhao, Baoshan Cao, Guoxin Li, Xiaotian Zhang, Bin Dong, Lin Shen. Predicting gastric cancer response to anti-HER2 therapy or anti-HER2 combined immunotherapy based on multi-modal data. Signal Transduction and Targeted Therapy (IF: 40.8), 2024. [Code] [Supplementary Information] [WeChat Post 1] [WeChat Post 2] [WeChat Post 3] [WeChat Post 4]
• co-first author Zifan Chen, Xinyu Nan, Jiazheng Li, Jie Zhao, Haifeng Li, Ziling Lin, Haoshen Li, Heyun Chen, Yiting Liu, Lei Tang, Li Zhang, Bin Dong. PAM: A Propagation-Based Model for Segmenting Any 3D Objects across Multi-Modal Medical Images. arXiv:2408.13836, 2024. [Supplementary Information]
• Heyun Chen, Zifan Chen, Jie Zhao, Haoshen Li, Jiazheng Li, Yiting Liu, Mingze Yuan, Peng Bao, Xinyu Nan, Bin Dong, Lei Tang, Li Zhang. MSI-UNet: A Flexible UNet-based Multi-scale Interactive Framework for 3D Gastric Tumor Segmentation on CT Scans. IEEE International Symposium on Biomedical Imaging (ISBI), Oral, 2024.
• Haoshen Li, Zifan Chen, Jie Zhao, Heyun Chen, Hexin Dong, Mingze Yuan, Bin Dong, Li Zhang. Multi-scale Clinical-guided Binocular Fusion Framework for Predicting New-onset Hypertension over a Four-Year Period. IEEE International Symposium on Biomedical Imaging (ISBI), Poster Among the finalists for Best Paper Award, 2024.
• co-first author Meng He, Zifan Chen, Song Liu, Yang Chen, Huan Zhang, Li Zhang, Jie Zhao, Jie Yang, Xiaotian Zhang, Lin Shen, Jianbo Gao, Bin Dong, Lei Tang. Deep learning model based on multi-lesion and time series CT images for predicting the benefits from anti-HER2 targeted therapy in stage IV gastric cancer. Insights into Imaging, 2024. [Code]
• Mingze Yuan, Peng Bao, Jiajia Yuan, Yunhao Shen, Zifan Chen, Yi Xie, Jie Zhao, Yang Chen, Li Zhang, Lin Shen, Bin Dong. Large language models illuminate a progressive pathway to artificial intelligent healthcare assistant. Medicine Plus, 2024. [Collated List of Papers] [Science Magazine]
• co-first author Jiajia Yuan, Peng Bao, Zifan Chen, Mingze Yuan, Jie Zhao, Jiahua Pan, Yi Xie, Yanshuo Cao, Yakun Wang, Zhenghang Wang, Zhihao Lu, Xiaotian Zhang, Jian Li, Lei Ma, Yang Chen, Li Zhang, Lin Shen, Bin Dong. Advanced prompting as a catalyst: Empowering large language models in the management of gastrointestinal cancers. The Innovation Medicine, 2023. [WeChat Post]
• co-first author Meng He, Zifan Chen, Li Zhang, Xiangyu Gao, Xiaoyi Chong, Haoshen Li, Lin Shen, Xiaotian Zhang, Bin Dong, Ziyu Li, Lei Tang. Associations of subcutaneous fat area and Systemic Immune-inflammation Index with survival in patients with advanced gastric cancer receiving dual PD-1 and HER2 blockade. Journal for ImmunoTherapy of Cancer (IF: 12.469), 2023. [Code]
• co-first author Zifan Chen, Jiazheng Li, Jie Zhao, Yiting Liu, Hongfeng Li, Bin Dong, Lei Tang, Li Zhang. Propnet: Propagating 2D Annotation to 3D Segmentation for Gastric Tumors on CT Scans. arXiv, arXiv:2305.17871, 2023.
• Mingze Yuan, Yingda Xia, Hexin Dong, Zifan Chen, Jiawen Yao, Mingyan Qiu, Ke Yan, Xiaoli Yin, Yu Shi, Xin Chen, Zaiyi Liu, Bin Dong, Jingren Zhou, Le Lu, Ling Zhang, Li Zhan. Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation, OOD Detection and Localization. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Highlight, 2023.
• Jiaqi Tang, Heyun Chen, Zifan Chen, Jiahua Pan, Yijiang He, Jie Zhao, Zhen Li. A Person-job Matching Method Based on BM25 and Pre-trained Language Model. Proceedings of the 2023 6th International Conference on Machine Learning and Natural Language Processing, 2023.
• co-first author Jiazheng Li, Zifan Chen, Yang Chen, Jie Zhao, Meng He, Xiaoting Li, Li Zhang, Bin Dong, Xiaotian Zhang, Lei Tang, Lin Shen. CT-based delta radiomics in predicting the prognosis of stage IV gastric cancer to immune checkpoint inhibitors. Frontiers in Oncology, 2022.
• co-first author Zifan Chen, Zhe Wu, Xian Wu, Li Zhang, Jie Zhao, Yangtian Yan, Yefeng Zheng. Contractible Regularization for Federated Learning on Non-IID Data. The IEEE International Conference on Data Mining (ICDM), Regular paper (acceptance rate: 9.77%), 2022. [Code]
• Yang Chen, Keren Jia, Yu Sun, Cheng Zhang, Yilin Li, Li Zhang, Zifan Chen, Jiangdong Zhang, Yajie Hu, Jiajia Yuan, Xingwang Zhao, Yanyan Li, Jifang Gong, Bin Dong, Xiaotian Zhang, Jian Li, Lin Shen. Predicting response to immunotherapy in gastric cancer via multi-dimensional analyses of the tumour immune microenvironment. Nature Communications, 2022.
• co-first author Hexin Dong, Zifan Chen, Mingze Yuan, Yutong Xie, Jie Zhao, Fei Yu, Bin Dong, Li Zhang. Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation. The 31st International Joint Conference on Artificial Intelligence (IJCAI), 2022. [Appendix] [Code]
• first author Zifan Chen, Jie Zhao, Hao Yu, Yue Zhang, Li Zhang. Multi-Scale Context-Guided Lumbar Spine Disease Identification with Coarse-to-fine Localization and Classification. IEEE International Symposium on Biomedical Imaging (ISBI), Oral, 2022. [Code]
• Yue Zhang, Zifan Chen, Hao Yu, Xinyu Yao, Hongfeng Li. Feature Fusion for Segmentation and Classification of Skin Lesions. IEEE International Symposium on Biomedical Imaging (ISBI), Poster, 2022.
• Hexin Dong, Zifan Chen, Jie Zhao, Mingze Yuan, Fei Yu, Jiangdong Zhang, Li Zhang. Abdominal organ segmentation via self training. 2022.
• first author Zifan Chen, Jiazheng Li, Yiting Liu, Jie Zhao, Li Zhang, Lei Tang, Bin Dong. Slice-propagated 3D Gastric Tumour Segmentation From A Single 2D Annotation. European Congress of Radiology (ECR), Oral, 2021.
• first author Zifan Chen, Xin Qin, Chao Yang, Li Zhang. Composite Localization for Human Pose Estimation. arXiv, arXiv:2105.07245, 2021.

Patents

• 沈琳, 陈杨, 董彬, 张立, 李一林, 赵杰, 陈梓帆 (2024). 癌症治疗反应预测系统及其控制方法. 中国专利CN117831789B.
• 张岩, 李建平, 姜一梦, 张立, 李浩申, 陈梓帆, 范芳芳, 贾佳, 赵杰, 杨光正奥, 骆星谕 (2024). 一种基于双眼融合网络预测高血压的方法、系统和设备. 中国专利CN117788473B.
• 沈琳, 董彬, 陈杨, 张小田, 孙宇, 张立, 唐磊, 赵杰, 陈梓帆 (2023). 肿瘤治疗预后预测方法、装置、电子设备及存储介质. 中国专利CN116721772B.
• 陈梓帆, 张立, 季加孚, 董彬, 赵杰, 唐磊, 李佳铮, 刘一婷 (2023). 基于目标影像的病灶检测方法和装置. 中国专利CN112634224B.
• 沈琳, 陈杨, 张江东, 董彬, 张小田, 张立, 陈梓帆, 孙宇, 赵杰, 郏科人 (2023). 肿瘤免疫治疗疗效预测方法、装置、电子设备及存储介质. 中国专利CN115295154B.
• 沈琳, 陈杨, 张江东, 张小田, 董彬, 陈梓帆, 张立, 孙宇, 赵杰, 郏科人 (2023). 肿瘤免疫治疗疗效评估方法、装置、电子设备及存储介质. 中国专利CN115294129B.
• 董和鑫, 陈梓帆, 袁铭泽, 谢雨彤, 赵杰, 于飞, 张立, 董彬 (2022). 基于区域感知度量学习的开放世界语义分割方法和装置. 中国专利公布CN114998585A.
• 陈梓帆, 董和鑫, 于飞, 赵杰, 袁铭泽, 张立, 董彬 (2022). 基于增量学习的轻量化物体检测方法与装置. 中国专利公布CN115170858A.
• 陈梓帆, 何蒙, 赵杰, 张立, 董彬, 唐磊 (2023). 胃癌靶向治疗疗效预测的方法、装置、设备及介质. 中国专利公布CN115565664A.
• 陈梓帆, 赵杰, 张立 (2021). 脊柱检测方法和装置. 中国专利公布CN112614092A.

Competitions

• Zifan Chen, Hexin Dong, Fei Yu, Jie Zhao, Mingze Yuan, Li Zhang. Second prize in the Zero-shot object detection of Zhijiang Cup Global Artificial Intelligence Competition, 2021.
• Zifan Chen, Jie Zhao, Li Zhang. The 4th place in the preliminary of the National Digital Ecological Innovation Contest - Intelligent Algorithm Contes, 2021.
• Zifan Chen, Jie Zhao, Li Zhang. Runner-up of the 2020 Spinal Disease Intelligent Diagnosis AI Challenge, 2020.
• Xing Tao, Zifan Chen. Third prize in the Zero-shot segmentation of Zhijiang Cup Global Artificial Intelligence Competition, 2020.