Jianqing Zheng
Postdoctoral Research Scientist
My postdoctoral research focuses on creating IL-2 mimics via deep learning for T cell-based immunotherapy, aiming to deepen our grasp of immune response mechanisms, particularly IL-2 signaling's role in T cell activation. This work promises to enrich immunology, leveraging advanced deep learning methods.
My interests span biomedical data analysis and computational biology, emphasizing computational model development and machine learning application.
Recent publications
-
Deformation-Recovery Diffusion Model (DRDM): Instance Deformation for
Image Manipulation and Synthesis
Zheng J-Q. et al, (2024)
-
Labelling with dynamics: A data-efficient learning paradigm for medical image segmentation
Mo Y. et al, (2024), Medical Image Analysis, 103196 - 103196
-
Bayesian Inference for Non-Linear Forward Model by Using a VAE-Based Neural Network Structure
Zhang Y. et al, (2024), IEEE Transactions on Signal Processing, 72, 1400 - 1411