Li Pan

Hi! I am currently a Research Assistant at the Department of Pathology, The University of Hong Kong, under the supervision of Dr. Maximus Yeung. My primary focus is on developing Artificial Intelligence for real-world clinical healthcare. I also work closely with Dr. Zhen Chen on medical image analysis.

My research interests revolve around quantitatively assessing human health conditions using multi-omics data, which encompasses genomics data, pathological imaging, and privacy-preserving sensing. I am committed to discovering digital biomarkers of diseases and uncovering the underlying mechanisms. Additionally, I possess extensive experience in implementing large-scale real-world smart health systems for Alzheimer’s Disease monitoring (Project Page).

In 2020, I obtained my B.E. degree in Computer Science and Technology from Xiamen University, China. I earned my MSc degree with distinction (ranked 1/59) from the City University of Hong Kong.

Email / Google Scholar / CV / Github

News

[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%).
[02/2023] Tow papers accepted by MobiSys 2023.

Publications

	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 (co-first author), 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]
	Long-tailed Medical Diagnosis with Relation-aware Representation Learning and Iterative Classifier Calibration Li Pan(co-first author), Yupei Zhang, Qiushi Yang, Tan Li, Zhen Chen. Under Review*.