(Liana) Xiaoshuang Li
PhD student in Medical Imaging Analysis
Joint Phd Program of Shanghai Jiao Tong University (SJTU) & the University of Sydney (USYD).

Email: lixiaoshuang@sjtu.edu.cn / xiaoshuang.li@sydney.edu.au
Short Biography
I am a PhD student (medical image analysis) under a joint program supported by China Scholarship Council (CSC), supervised by Prof. Bin Sheng, Prof. Jinman Kim, and Prof. Dagan Feng. I am in the Department of Computer Science and Engineering, Shanghai Jiao Tong University and the Biomedical Data Analysis and Visualisation (BDAV) group, School of Computer Science, The University of Sydney. Prior to this, I received B. CS degree from TianJin University, China, 2018.

Research Area: Deep Learning, Medical Image Analysis, Bioinformatics

News

Publications
  • X. Li, M. Meng, Z. Huang, L. Bi, E. Delamare, D. Feng, B. Sheng and J. Kim, 3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024. [paper][code]
    Early Accepted
  • Y. Qian, X. Li, J. Cao, J. Zhang, H. Li, J. Chen, Boosting Pruned Networks with Linear Over-Parameterization, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024. [paper]
  • X. Li, X. Liu, L. Lu, X. Hua, Y. Chi and K. Xia, "Multiphysical graph neural network (MP-GNN) for COVID-19 drug design", Briefings in bioinformatics, 2022. [paper][code]
  • P. Jiang, Y. Chi, X. Li, Z. Meng, X. Liu, X. Hua and K. Xia, "Molecular persistent spectral image (Mol-PSI) representation for machine learning models in drug design", Briefings in Bioinformatics, 2022. [paper]
  • X. Li, L. Bi, J. Kim, T. Li, P. Li, Y. Tian, B. Sheng and D. Feng, Malocclusion Treatment Planning via PointNet Based Spatial Transformation Network, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020. [paper]
    Early Accepted
  • X. Li, B. Sheng, P. Li, J. Kim and D. Feng, Voxelized Facial Reconstruction Using Deep Neural Network, Proceedings of Computer Graphics International (CGI), 2018. [paper]
Scientific Community Service
Reviewer:
  • International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
  • The Visual Computer
  • Computer Methods and Programs in Biomedicine
Challenge Organization: