collaborators

6 papers

cs.CL2026

J-CoT: Chain-of-Thought in J-Space

Junde Wu, Jiayuan Zhu, Fengling Liu +2

Chain-of-thought prompting improves language-model reasoning by carrying intermediate states across successive computation steps. However, relying on natural language as the only r…

cs.AI2026

BioMedArena: An Open-source Toolkit for Building and Evaluating Biomedical Deep Research Agents

Jinge Wu, Hongjian Zhou, Mingde Zeng +8

Reproducing and comparing deep research agents today is hard: the same backbone evaluated on the same benchmark can report different accuracies across papers because the harness an…

cs.CL2026

Measuring Epistemic Resilience of LLMs Under Misleading Medical Context

Hongjian Zhou, Xinyu Zou, Jinge Wu +19

Large language models (LLMs) now reach expert-level scores on medical licensing exams, encouraging the assumption that high scores imply safe medical judgment while patients increa…

cs.LG2026

Biosignal Fingerprinting: A Cross-Modal PPG-ECG Foundation Model

Zhangdaihong Liu, Chang Liu, Fenglin Liu +4

Cardiovascular disease remains the leading cause of global mortality, yet scalable cardiac monitoring is hindered by the gap between diagnostic-rich ECG and ubiquitous wearable PPG…

cs.AI2025

Clinical-R1: Empowering Large Language Models for Faithful and Comprehensive Reasoning with Clinical Objective Relative Policy Optimization

Boyang Gu, Hongjian Zhou, Bradley Max Segal +6

Recent advances in large language models (LLMs) have shown strong reasoning capabilities through large-scale pretraining and post-training reinforcement learning, demonstrated by D…

cs.LG2025

Sensing Cardiac Health Across Scenarios and Devices: A Multi-Modal Foundation Model Pretrained on Heterogeneous Data from 1.7 Million Individuals

Xiao Gu, Wei Tang, Jinpei Han +10

Cardiac biosignals, such as electrocardiograms (ECG) and photoplethysmograms (PPG), are of paramount importance for the diagnosis, prevention, and management of cardiovascular dise…