collaborators

15 papers

q-fin.TR2026

Which Voices Move Markets? Speaker Identity and the Cross-Section of Post-Earnings Returns

Karmanpartap Singh Sidhu, Junyi Fan, Maryam Pishgar

We utilize FinBERT, a domain-specific transformer model, to parse 6.5 million sentences from 16,428 S&P 500 quarterly earnings call transcripts (2015-2025) and demonstrate that pos…

cs.DB2025

A Cross-Chain Event-Driven Data Infrastructure for Aave Protocol Analytics and Applications

Junyi Fan, Li Sun

Decentralized lending protocols, exemplified by Aave V3, have transformed financial intermediation by enabling permissionless, multi-chain borrowing and lending without intermediar…

cs.CL2025

Aligning Language Models with Clinical Expertise: DPO for Heart Failure Nursing Documentation in Critical Care

Junyi Fan, Li Sun, Negin Ashrafi +2

Nursing documentation in intensive care units (ICUs) provides essential clinical intelligence but often suffers from inconsistent terminology, informal styles, and lack of standard…

cs.LG2025

Interpretable Machine Learning Model for Early Prediction of Acute Kidney Injury in Critically Ill Patients with Cirrhosis: A Retrospective Study

Li Sun, Shuheng Chen, Junyi Fan +5

Background: Cirrhosis is a progressive liver disease with high mortality and frequent complications, notably acute kidney injury (AKI), which occurs in up to 50% of hospitalized pa…

cs.LG2025

Prediction of Significant Creatinine Elevation in First ICU Stays with Vancomycin Use: A retrospective study through Catboost

Junyi Fan, Li Sun, Shuheng Chen +6

Background: Vancomycin, a key antibiotic for severe Gram-positive infections in ICUs, poses a high nephrotoxicity risk. Early prediction of kidney injury in critically ill patients…

cs.LG2025

Early Mortality Prediction in ICU Patients with Hypertensive Kidney Disease Using Interpretable Machine Learning

Yong Si, Junyi Fan, Li Sun +6

Background: Hypertensive kidney disease (HKD) patients in intensive care units (ICUs) face high short-term mortality, but tailored risk prediction tools are lacking. Early identifi…