5 papers
BlockRR: A Unified Framework of RR-type Algorithms for Label Differential Privacy
Haixia Liu, Yi Ding
In this paper, we introduce BlockRR, a novel and unified randomized-response mechanism for label differential privacy. This framework generalizes existed RR-type mechanisms as spec…
Toward Automated and Trustworthy Scientific Analysis and Visualization with LLM-Generated Code
Apu Kumar Chakroborti, Yi Ding, Lipeng Wan
As modern science becomes increasingly data-intensive, the ability to analyze and visualize large-scale, complex datasets is critical to accelerating discovery. However, many domai…
EulerESG: Automating ESG Disclosure Analysis with LLMs
Yi Ding, Xushuo Tang, Zhengyi Yang +12
Environmental, Social, and Governance (ESG) reports have become central to how companies communicate climate risk, social impact, and governance practices, yet they are still publi…
RPCANet++: Deep Interpretable Robust PCA for Sparse Object Segmentation
Fengyi Wu, Yimian Dai, Tianfang Zhang +4
Robust principal component analysis (RPCA) decomposes an observation matrix into low-rank background and sparse object components. This capability has enabled its application in ta…
Longitudinal Progression Prediction of Alzheimer's Disease with Tabular Foundation Model
Yilang Ding, Jiawen Ren, Jiaying Lu +4
Alzheimer's disease is a progressive neurodegenerative disorder that remains challenging to predict due to its multifactorial etiology and the complexity of multimodal clinical dat…