Jiawen Li
Hi, I am currently a Ph.D. student at Institute of Biomedical and Health Engineering, Tsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, supervised by Prof. Yonghong He. My research focuses on computational pathology, with a particular emphasis on representation and analyzing gigapixel-level whole-slide images. I am also interested in biomedical optical imaging.
I obtained my Bachelor of Science degree from Cuiying Honors College, Lanzhou University in 2021, and obtained my Master of Engineering degree from Open FIESTA at Tsinghua SIGS in 2024. I was honored to receive the China National Scholarship in 2025.
Education
Tsinghua University
Aug 2024 - Present
Ph.D. student in Biomedical Engineering
Tsinghua University
Aug 2021 - June 2024
M.E. in Biomedical Engineering
Lanzhou University
Aug 2017 - June 2021
B.S. in Mathematics
Selected Journal Publication
Diagnostic text-guided representation learning in hierarchical classification for pathological whole slide image
Jiawen Li*, Qiehe Sun, Renao Yan, Yizhi Wang, Yuqiu Fu, Yani Wei, Tian Guan, Huijuan Shi#, Yonghong He#, Anjia Han#, Medical Image Analysis, 2025, Journal Paper
Pathorchestra: A comprehensive foundation model for computational pathology with over 100 diverse clinical-grade tasks
Fang Yan*#, Jianfeng Wu*, Jiawen Li*, Wei Wang*, Yirong Chen, Linda Wei, Jiaxuan Lu, Wen Chen, Zizhao Gao, Jianan Li, Heng Li, Hong Yan, Jiabo Ma, Minda Chen, Yang Lu, Qing Chen, Yizhi Wang, Xitong Ling, Xuenian Wang, Zihan Wang, Qiang Huang, Shengyi Hua, Mianxin Liu, Lei Ma, Tian Shen, Xiaofan Zhang#, Yonghong He#, Hao Chen#, Shaoting Zhang#, Zhe Wang#, NPJ Digital Medicine, 2025, Journal Paper
Dynamic hypergraph representation for bone metastasis analysis
Yuxuan Chen*, Jiawen Li*, Lianghui Zhu*, Yang Xu, Tian Guan, Huijuan Shi#, Yonghong He#, Anjia Han#, Computer Methods and Programs in Biomedicine, 2025, Journal Paper
Using optical skyrmions to assess vectorial adaptive optics capabilities in the presence of complex aberrations
Yifei Ma*, Zimo Zhao*, Yuanxing Shen*, Binguo Chen, An Aloysius Wang, Yuxi Cai, Ji Qin, Runchen Zhang, Yunqi Zhang, Jiahe Cui, Bangshan Sun, Jiawen Li, Yuzhu Shi, Liangyu Deng, Honghui He#, Lin Luo, Yonghong He#, Yun Zhang, Ben Dai, Daniel J Royston, Steve J Elston, Stephen M Morris, Martin J Booth, Chao He#, Science Advances, 2025, Journal Paper
Comprehensive benchmark dataset for pathological lymph node metastasis in breast cancer sections
Xitong Ling*, Yuanyuan Lei*, Jiawen Li*, Junru Cheng, Wenting Huang, Tian Guan, Jian Guan#, Yonghong He#, Scientific Data, 2025, Journal Paper
A reconfigurable arbitrary retarder array as complex structured matter
Chao He*#, Binguo Chen*, Zipei Song*, Zimo Zhao*, Yifei Ma*, Honghui He#, Lin Luo#, Tade Marozsak, An Aloysius Wang, Rui Xu, Peixiang Huang, Jiawen Li, Xuke Qiu, Yunqi Zhang, Bangshan Sun, Jiahe Cui, Yuxi Cai, Yun Zhang, Andong Wang, Mohan Wang, Patrick Salter, Julian AJ Fells, Ben Dai, Shaoxiong Liu, Limei Guo, Yonghong He, Hui Ma, Daniel J Royston, Steve J Elston, Qiwen Zhan, Chengwei Qiu, Stephen M Morris, Martin J Booth, Andrew Forbes, Nature Communications, 2025, Journal Paper
Deeptree: Pathological image classification through imitating tree-like strategies of pathologists
Jiawen Li*, Junru Cheng*, Lingqin Meng, Hui Yan, Yonghong He, Huijuan Shi#, Tian Guan#, Anjia Han#, IEEE Transactions on Medical Imaging, 2024, Journal Paper
Selected Conference Publication
StainNet: Scaling Self-Supervised Foundation Models on Immunohistochemistry and Special Stains for Computational Pathology
Jiawen Li*, Jiali Hu*, Xitong Ling*, Yongqiang Lv, Yuxuan Chen, Yizhi Wang, Tian Guan#, Yifei Liu#, Yonghong He#, International Conference on Medical Imaging with Deep Learning (MIDL), 2026, Accepted Conference Paper (Preprint link)
Multimodal Distillation-Driven Ensemble Learning for Long-Tailed Histopathology Whole Slide Images Analysis
Xitong Ling*, Yifeng Ping*, Jiawen Li*, Jing Peng, Yuxuan Chen, Minxi Ouyang, Yizhi Wang, Yonghong He, Tian Guan#, Xiaoping Liu#, Lianghui Zhu#, IEEE International Symposium on Biomedical Imaging (ISBI), 2026, Accepted Conference Paper (Preprint link)
Cross-Modal Prototype Allocation: Unsupervised Slide Representation Learning via Patch-Text Contrast in Computational Pathology
Yuxuan Chen*, Jiawen Li*, Jiali Hu*, Xitong Ling, Tian Guan#, Anjia Han#, Yonghong He#, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025, Conference Paper
RetMIL: Retentive Multiple Instance Learning for Histopathological Whole Slide Image Classification
Hongbo Chu*, Qiehe Sun*, Jiawen Li*, Yuxuan Chen, Lizhong Zhang, Tian Guan, Anjia Han#, Yonghong He#, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024, Conference Paper
Dynamic Graph Representation with Knowledge-aware Attention for Histopathology Whole Slide Image Analysis
Jiawen Li*, Yuxuan Chen*, Hongbo Chu*, Qiehe Sun, Tian Guan, Anjia Han#, Yonghong He#, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024, Conference Paper
Classification of Myopic Maculopathy Images with Self-supervised Driven Multiple Instance Learning Network
Jiawen Li*, Jaehyeon Soon*, Qilai Zhang*, Qifan Zhang, Yonghong He#, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023, Conference Paper
Preprints
Can We Simplify Slide-level Fine-tuning of Pathology Foundation Models?
Jiawen Li*, Jiali Hu*, Qiehe Sun, Renao Yan, Minxi Ouyang, Tian Guan, Anjia Han, Chao He#, Yonghong He#, arXiv preprint arXiv:2502.20823, 2025/2/28, Preprint Paper
Unlocking adaptive digital pathology through dynamic feature learning
Jiawen Li*, Tian Guan*, Qingxin Xia, Yizhi Wang, Xitong Ling, Jing Li, Qiang Huang, Zihan Wang, Zhiyuan Shen, Yifei Ma, Zimo Zhao, Zhe Lei, Tiandong Chen, Junbo Tan, Xueqian Wang, Xiu-Wu Bian#, Zhe Wang#, Lingchuan Guo#, Chao He#, Yonghong He#, arXiv preprint arXiv:2412.20430, 2024/12/29, Preprint Paper
Teaching Assistant
∙ Artificial Intelligence and Innovative Design Capstone Project, SIGS, THU, 2025 Autumn
∙ Interdisciplinary Innovation Practice Course - Digital Healthcare, SIGS, THU, 2025 Spring
∙ Advanced Numerical Analysis, SIGS, THU, 2024 Autumn