MICCAI'24 CARE
KA$^2$ER: Knowledge Adaptive Amalgamation of ExpeRts for Medical Images Segmentation
Proc. MICCAI 2024 · Oral
Hangzhou, Zhejiang, China · 310058
Github: ShangdeGao ·
Scholar: Google Scholar
Email: gaosde [at] zju [dot] edu [dot] cn
I am a final-year Ph.D. candidate at the College of Computer Science and Technology, Zhejiang University, supervised by Prof. Jian Wu. I am scheduled to graduate in Sep 2025.
I obtained my M.S. in Computer Science from Hunan University (July 2020), advised by Prof. Xin Liao at the College of Computer Science and Electronic Engineering. I received my B.S. in Software Engineering from Hunan University in July 2017.
Computer Vision, AI for Science. I focus on Computer Vision methods and their applications for Sciences, including knowledge distillation and fusion for real-world classification and segmentation tasks.
MICCAI'24 CARE
KA$^2$ER: Knowledge Adaptive Amalgamation of ExpeRts for Medical Images Segmentation
Proc. MICCAI 2024 · Oral
IS'24
Collaborative knowledge amalgamation: Preserving discriminability and transferability in unsupervised learning
Information Sciences
ICANN'23
Contrastive Knowledge Amalgamation for Unsupervised Image Classification
Proc. ICANN 2023 · Oral
IJCNN'23