About Me

I am currently a PhD student in School of Computer Science at Nanjing University and a member of Reasoning & Learning Group, fortunately supervised by Prof. Yinghuan Shi. My research interest lies in computer vision and biomedical image analysis.

Interests
  • Computer Vision
  • Biomedical Image Analysis
  • Artificial Intelligence
Education
  • PhD student in Computer Science and Technology

    Nanjing University, 2023-

  • MSc in Analytics

    Nanyang Technological University (NTU), 2020-2021

  • BEng in Computer Science and Technology

    Xiamen University, 2016-2020

Publications

Duala: Dual-Level Alignment of Subjects and Stimuli for Cross-Subject fMRI Decoding
Diversity-enhanced Collaborative Mamba for Semi-supervised Medical Image Segmentation
A Zero-Shot Generalization Model for Medical Image Segmentation
GA-SAM: Geometry-Aware SAM Adaptation with Sparse Annotation-Driven Point Cloud Completion
Stitching, Fine-tuning, Re-training: A SAM-enabled Framework for Semi-supervised 3D Medical Image Segmentation
PLN: Parasitic-Like Network for Barely Supervised Medical Image Segmentation
Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation
Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation
MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels

Published Book

AI in Your Pocket: Artificial Intelligence and Healthcare

Experience

 
 
 
 
 
Research Assistant, Nanjing University
Oct 2021 – Aug 2023 Nanjing
 
 
 
 
 

Correspondence

Email: lism@smail.nju.edu.cn;
Address: Li Shumeng, School of Computer Science, Xianlin Campus, Nanjing University, No.163 Xianlin Avenue, Qixia District, Nanjing, Jiangsu Province, China (南京市栖霞区仙林大道163号, 南京大学, 仙林校区, 计算机学院, 210023.)