most citedOperationalizing Serendipity: Multi-Agent AI Workflows for Enhanced Materials Characterization with Theory-in-the-Loop

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

collaborators

5 papers

cs.CL2025

MedResearcher-R1: Expert-Level Medical Deep Researcher via A Knowledge-Informed Trajectory Synthesis Framework

Ailing Yu, Lan Yao, Jingnan Liu +13

Recent developments in Large Language Model (LLM)-based agents have shown impressive capabilities spanning multiple domains, exemplified by deep research systems that demonstrate s…

cs.AI2025★ 5 cited

Operationalizing Serendipity: Multi-Agent AI Workflows for Enhanced Materials Characterization with Theory-in-the-Loop

Lance Yao, Suman Samantray, Ayana Ghosh +4

The history of science is punctuated by serendipitous discoveries, where unexpected observations, rather than targeted hypotheses, opened new fields of inquiry. While modern autono…

q-bio.BM2025

HCAF-DTA: drug-target binding affinity prediction with cross-attention fused hypergraph neural networks

Jiannuo Li, Lan Yao

Accurate prediction of the binding affinity between drugs and target proteins is a core task in computer-aided drug design. Existing deep learning methods tend to ignore the inform…

cs.LG2025

Brain Network Classification Based on Graph Contrastive Learning and Graph Transformer

ZhiTeng Zhu, Lan Yao

The dynamic characterization of functional brain networks is of great significance for elucidating the mechanisms of human brain function. Although graph neural networks have achie…

stat.ML2023

GLasso: Regularized Multi-task Graphical Lasso for Joint Estimation of eQTL Mapping and Gene Network

Wei Miao, Lan Yao

A critical problem in genetics is to discover how gene expression is regulated within cells. Two major tasks of regulatory association learning are : (i) identifying SNP-gene relat…