5 papers
Geometric Gradient Rectification for Safe Open-Set Semi-Supervised Learning
Jiahe Chen, Qian Shao, Qiyuan Chen +4
Open-set semi-supervised learning aims to leverage unlabeled data that may contain out-of-distribution outliers while maintaining performance on in-distribution classes. Existing m…
Accelerating Zeroth-Order Spectral Optimization with Partial Orthogonalization from Power Iteration
Jiahe Chen, Ziye Ma
Zeroth-order (ZO) optimization has become increasingly popular and important in fine-tuning large language models (LLMs), especially on edge devices due to its ability to adjust th…
BioGraphFusion: Graph Knowledge Embedding for Biological Completion and Reasoning
Yitong Lin, Jiaying He, Jiahe Chen +3
Motivation: Biomedical knowledge graphs (KGs) are crucial for drug discovery and disease understanding, yet their completion and reasoning are challenging. Knowledge Embedding (KE)…
C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation
Jiaying He, Yitong Lin, Jiahe Chen +2
For the immanent challenge of insufficiently annotated samples in the medical field, semi-supervised medical image segmentation (SSMIS) offers a promising solution. Despite achievi…
Decoupled Competitive Framework for Semi-supervised Medical Image Segmentation
Jiahe Chen, Jiahe Ying, Shen Wang +1
Confronting the critical challenge of insufficiently annotated samples in medical domain, semi-supervised medical image segmentation (SSMIS) emerges as a promising solution. Specif…