most citedAI Scientists for Building Virtual-Cell Models

3 citations · 5 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025

Adaptive Multi-Scale Integration Unlocks Robust Cell Annotation in Histopathology Images

Yinuo Xu, Yan Cui, Mingyao Li +1

Identifying cell types and subtypes in routine histopathology is fundamental for understanding disease. Existing tile-based models capture nuclear detail but miss the broader tissu…

cs.CV2025

PRISM: Progressive Rain removal with Integrated State-space Modeling

Pengze Xue, Shanwen Wang, Fei Zhou +2

Image deraining is an essential vision technique that removes rain streaks and water droplets, enhancing clarity for critical vision tasks like autonomous driving. However, current…

cs.CV2025★ 1 cited

A co-evolving agentic AI system for medical imaging analysis

Songhao Li, Jonathan Xu, Tiancheng Bao +11

Agentic AI is rapidly advancing in healthcare and biomedical research. However, in medical image analysis, their performance and adoption remain limited due to the lack of a robust…

cs.CL2025

Transformer Enhanced Relation Classification: A Comparative Analysis of Contextuality, Data Efficiency and Sequence Complexity

Bowen Jing, Yang Cui, Tianpeng Huang

In the era of large language model, relation extraction (RE) plays an important role in information extraction through the transformation of unstructured raw text into structured d…

cs.LG2025★ 3 cited

AI Scientists for Building Virtual-Cell Models

Xiangru Tang, Zhuoyun Yu, Jiapeng Chen +12

Autonomous agents, from virtual laboratories to biological data-analysis agents and co-scientists, have begun to turn scientific goals into hypotheses. Whether they can go further…

cs.CL2024★ 1 cited

Better Explain Transformers by Illuminating Important Information

Linxin Song, Yan Cui, Ao Luo +2

Transformer-based models excel in various natural language processing (NLP) tasks, attracting countless efforts to explain their inner workings. Prior methods explain Transformers…