5 papers
Is Fairness Truly Fair? Towards Reliable Lipschitz Fairness in Multi-Task Learning via Fixed-\texorpdfstring{}{delta} Alignment
Junbo Ding, Xin Zang, Chenchen Pan +3
Lipschitz-style individual fairness formalizes the idea that semantically similar examples should receive similar predictions, but its evaluation in multi-task learning (MTL) can b…
GCA-ResUNet: Medical Image Segmentation Using Grouped Coordinate Attention
Jun Ding, Shang Gao
Accurate segmentation of heterogeneous anatomical structures is pivotal for computer-aided diagnosis and subsequent clinical decision-making. Although U-Net based convolutional neu…
GCA-ResUNet:Image segmentation in medical images using grouped coordinate attention
Jun Ding, Shang Gao
Medical image segmentation underpins computer-aided diagnosis and therapy by supporting clinical diagnosis, preoperative planning, and disease monitoring. While U-Net style convolu…
4D-PreNet: A Unified Preprocessing Framework for 4D-STEM Data Analysis
Mingyu Liu, Zian Mao, Zhu Liu +8
Automated experimentation with real time data analysis in scanning transmission electron microscopy (STEM) often require end-to-end framework. The four-dimensional scanning transmi…
scBeacon: single-cell biomarker extraction via identifying paired cell clusters across biological conditions with contrastive siamese networks
Chenyu Liu, Yong Jin Kweon, Jun Ding
Despite the breakthroughs in biomarker discovery facilitated by differential gene analysis, challenges remain, particularly at the single-cell level. Traditional methodologies heav…