activity
20182023
most citedBioMedGPT: Open Multimodal Generative Pre-trained Transformer for BioMedicine

30 citations · 102 across the 14 of their papers we have counts for

collaborators
Showing 2023Show all

6 papers · 1 filter

cs.CE2023★ 30 cited

BioMedGPT: Open Multimodal Generative Pre-trained Transformer for BioMedicine

Yizhen Luo, Jiahuan Zhang, Siqi Fan +4

Foundation models (FMs) have exhibited remarkable performance across a wide range of downstream tasks in many domains. Nevertheless, general-purpose FMs often face challenges when…

cs.CV2023★ 1 cited

QUEST: Query Stream for Practical Cooperative Perception

Siqi Fan, Haibao Yu, Wenxian Yang +2

Cooperative perception can effectively enhance individual perception performance by providing additional viewpoint and expanding the sensing field. Existing cooperation paradigms a…

q-bio.BM2023★ 12 cited

MolFM: A Multimodal Molecular Foundation Model

Yizhen Luo, Kai Yang, Massimo Hong +2

Molecular knowledge resides within three different modalities of information sources: molecular structures, biomedical documents, and knowledge bases. Effective incorporation of mo…

cs.CE2023★ 14 cited

Large-Scale Cell Representation Learning via Divide-and-Conquer Contrastive Learning

Suyuan Zhao, Jiahuan Zhang, Zaiqing Nie

Single-cell RNA sequencing (scRNA-seq) data is a potent tool for comprehending the "language of life" and can provide insights into various downstream biomedical tasks. Large-scale…

cs.CV2023★ 4 cited

V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting

Haibao Yu, Wenxian Yang, Hongzhi Ruan +11

Utilizing infrastructure and vehicle-side information to track and forecast the behaviors of surrounding traffic participants can significantly improve decision-making and safety i…

cs.CV2023★ 14 cited

Vehicle-Infrastructure Cooperative 3D Object Detection via Feature Flow Prediction

Haibao Yu, Yingjuan Tang, Enze Xie +4

Cooperatively utilizing both ego-vehicle and infrastructure sensor data can significantly enhance autonomous driving perception abilities. However, temporal asynchrony and limited…