Scholar
Jianghao Wu
Google Scholar ID: f5f1xvYAAAAJ
Monash University
Citations & Impact
Citations
298
H-index
8
i10-index
7
Publications
16
Co-authors
14
list available
Publications
Resume (English only)
Academic Achievements
- Publications:
- - UPL-TTA: Uncertainty-aware pseudo label guided fully test time adaptation for fetal brain segmentation, IPMI 2023
- - FPL+: Filtered Pseudo Label-based Unsupervised Cross-Modality Adaptation for 3D Medical Image Segmentation, IEEE TMI (accepted)
Research Experience
- Currently open to research collaboration and visiting/internship opportunities related to LLM post-training, test-time adaptation, medical image analysis, and foundation models.
Education
- PhD student at Monash University; Master's degree from the University of Electronic Science and Technology of China (UESTC), supervised by Prof. Guotai Wang and Prof. Shaoting Zhang; Member of HiLab.
Background
- Research interests: Post-training adaptation of medical AI models, ranging from lightweight deep learning networks to large-scale foundation models. Research focuses on domain adaptation, test-time training, and self-supervised learning to enhance the reasoning-time robustness and generalizability of visual, language, and multi-modal systems in real-world medical scenarios.
