collaborators

5 papers

q-bio.MN2026

BRIDGE: Biological Evidence Refinement and Heterogeneous Dynamic Gating for Gene Regulatory Networks

Ziyang Dong, Shanwen Tan, Hengchuang Yin +5

Motivation: Gene regulatory network inference from single-cell RNA sequencing (scRNA-seq) data is important for uncovering cell-state-specific transcriptional programs. However, sc…

cs.CL2026

MolReFlect: Towards In-Context Fine-grained Alignments between Molecules and Texts

Jiatong Li, Yunqing Liu, Wei Liu +6

Molecule discovery is a pivotal research field, impacting everything from medicine to materials. Recently, Large Language Models (LLMs) have been widely adopted in molecular unders…

cs.CL2026

Lightweight Retrieval-Augmented Generation and Large Language Model-Based Modeling for Scalable Patient-Trial Matching

Xiaodi Li, Yang Xiao, Munhwan Lee +7

Patient-trial matching requires reasoning over long, heterogeneous electronic health records (EHRs) and complex eligibility criteria, posing significant challenges for scalability,…

cs.LG2025

ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area

Junxian Li, Di Zhang, Xunzhi Wang +16

Large Language Models (LLMs) have achieved remarkable success and have been applied across various scientific fields, including chemistry. However, many chemical tasks require the…

cs.CL2025

Large Language Models are In-Context Molecule Learners

Jiatong Li, Wei Liu, Zhihao Ding +3

Large Language Models (LLMs) have demonstrated exceptional performance in biochemical tasks, especially the molecule caption translation task, which aims to bridge the gap between…