Li Pan

Hi! I am a first-year PhD student at the Usher Institute, University of Edinburgh. My research is generously funded by the European Research Council (ERC) and College of Medicine and Veterinary Medicine (CMVM), under the supervision of Professor Miguel Bernabeu and Professor Val Brunton. Before that, I received my MSc degree from the City University of Hong Kong and BEng degree from Xiamen University. I also work closely with Dr. Zhen Chen on medical image analysis.

My research centers on the quantitative assessment of human health conditions through the integration of multi-omics data, including genomics, pathological imaging, and privacy-preserving sensing technologies. I am deeply dedicated to identifying digital biomarkers for diseases and uncovering their underlying mechanisms. My expertise includes extensive experience in designing and implementing large-scale, real-world smart health systems, with a particular focus on Alzheimer’s Disease monitoring. Furthermore, I have received specialized training in the clinical evaluation of pathology and radiology images, particularly in relation to cancers, at Queen Mary Hospital.

Email / Google Scholar / CV / Github

News

[04/2025] One paper accepted by npj Digital Medicine.
[02/2025] Honored to receive the ERC/UoE CMVM PhD Scholarship.
[01/2025] One paper accepted by CIBM.
[08/2024] One paper accepted by IEEE BIBM 2024.
[03/2024] One paper accepted by IEEE JBHI.
[11/2023] One paper accepted by MobiCom 2024.
[06/2023] Our paper 'Mozart' received the Best Paper Award at MobiSys 2023.
[05/2023] One paper accepted by MICCAI 2023 (early accepted, 14%).

Publications

	Long-tailed Medical Diagnosis with Relation-aware Representation Learning and Iterative Classifier Calibration Li Pan, Yupei Zhang, Qiushi Yang, Tan Li, Zhen Chen. [CIBM] Computers in Biology and Medicine. [ paper] [ code]
	Focus on Focus: Focus-oriented Representation Learning and Multi-view Cross-modal Alignment for Glioma Grading Li Pan, Yupei Zhang, Qiushi Yang, Tan Li, Xiaohan Xing, Maximus C. F. Yeung, Zhen Chen. [BIBM 2024] IEEE International Conference on Bioinformatics and Biomedicine [ paper] [ code]
	Unified Medical Multi-modal Diagnostic Framework with Multi-level Reconstruction Pre-training and Heterogeneity-combat Downstream Tuning. Yupei Zhang, Li Pan(co-first author), Qiushi Yang, Tan Li, Zhen Chen. [JBHI*] IEEE Journal of Biomedical and Health Informatics. [ paper] [ code]
	Combat Long-tails in Medical Classification with Relation-aware Consistency and Virtual Features Compensation Li Pan, Yupei Zhang, Qiushi Yang, Tan Li, Zhen Chen. [MICCAI 2023] The 26th International Conference on Medical Image Computing and Computer Assisted Intervention [ paper] [ slides] [ code]
	Mozart: A Mobile ToF System for Sensing in the Dark through Phase Manipulation Zhiyuan Xie, Xiaomin Ouyang (co-first author), Li Pan, Wenrui Lu, Guoliang Xing, Xiaoming Liu [MobiSys 2023*] In the 21th Annual International Conference on Mobile Systems, Applications, and Services (Acceptance ratio: 41/198=20.7%) Best Paper Award (1 out of 198 submissions) [ paper] [ slides] [ code] [ award]
	Harmony: Heterogeneous Multi-Modal Federated Learning through Disentangled Model Training Xiaomin Ouyang, Zhiyuan Xie, Heming Fu, Sitong Cheng, Li Pan, Neiwen Ling, Guoliang Xing, Jiayu Zhou, Jianwei Huang [MobiSys 2023] In the 21th Annual International Conference on Mobile Systems, Applications, and Services (Acceptance ratio: 41/198=20.7%) [ paper] [ slides] [ code] [datasets]
	HiToF: a ToF camera system for capturing high-resolution textures Zhiyuan Xie, Xiaomin Ouyang, Li Pan, Wenrui Lu, Guoliang Xing, Xiaoming Liu [MobiCom 2022 Demo*] Proceedings of the 28th Annual International Conference on Mobile Computing And Networking [ paper] [ slides] [ code]
	Identifying Autism Spectrum Disorder Based on Individual-Aware Down-Sampling and Multi-Modal Learning Li Pan, Jundong Liu, Mingqin Shi, Chi Wah Wong, Kei Hang Katie Chan [MedIA] Medical Image Analysis, Under Review. [ paper] [ code]