collaborators

5 papers

cs.LG2026

Deep Gaussian Processes for Functional Maps

Matthew Lowery, Zhitong Xu, Da Long +5

Learning mappings between functional spaces, also known as function-on-function regression, is a fundamental problem in functional data analysis with broad applications, including…

cs.CL2026

Note2Chat: Improving LLMs for Multi-Turn Clinical History Taking Using Medical Notes

Yang Zhou, Zhenting Sheng, Mingrui Tan +6

Effective clinical history taking is a foundational yet underexplored component of clinical reasoning. While large language models (LLMs) have shown promise on static benchmarks, t…

cs.CV2025

EVLF-FM: Explainable Vision Language Foundation Model for Medicine

Yang Bai, Haoran Cheng, Yang Zhou +40

Despite the promise of foundation models in medical AI, current systems remain limited - they are modality-specific and lack transparent reasoning processes, hindering clinical ado…

eess.IV2025

Multimodal, Multi-Disease Medical Imaging Foundation Model (MerMED-FM)

Yang Zhou, Chrystie Wan Ning Quek, Jun Zhou +22

Current artificial intelligence models for medical imaging are predominantly single modality and single disease. Attempts to create multimodal and multi-disease models have resulte…

cs.AI2025

Benchmarking Multimodal RAG through a Chart-based Document Question-Answering Generation Framework

Yuming Yang, Jiang Zhong, Li Jin +7

Multimodal Retrieval-Augmented Generation (MRAG) enhances reasoning capabilities by integrating external knowledge. However, existing benchmarks primarily focus on simple image-tex…