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
Journal article
Zheng J-Q. et al, (2026), Medical Image Analysis, 110, 103987 - 103987
Manydepth2: Motion-Aware Self-Supervised Monocular Depth Estimation in Dynamic Scenes
Journal article
Zhou K. et al, (2025), IEEE Robotics and Automation Letters, 10, 6704 - 6711
Unveiling fundamental principles: visualizing T cell immunity with explainable artificial intelligence
Journal article
Tu L. et al, (2025), Medicine Plus, 2
Development of image-based method for the quantitative assessment of cartilage damage from CT as a biomarker in osteoarthritis
Thesis / Dissertation
Zheng J., (2025)
Deformation-Recovery Diffusion Model (DRDM): Instance Deformation for Image Manipulation and Synthesis
Preprint
Zheng J-Q. et al, (2024)