activity
20232026
most citedM3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models

18 citations · 35 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Efficient GUI Agents: A Systems Survey of Observation, Memory, Action, and Runtime Optimization

Bizhe Bai, Jiakang Yuan, Hongming Wu +8

GUI agents increasingly operate across websites, mobile apps, and desktop environments, yet the field still reports progress primarily through task success. We argue that practical…

cs.DC2026

EPD-Serve: A Flexible Multimodal EPD Disaggregation Inference Serving System On Ascend

Fan Bai, Pai Peng, Zhengzhi Tang +8

With the widespread adoption of large multimodal models, efficient inference across text, image, audio, and video modalities has become critical. However, existing multimodal infer…

cs.CV2024★ 2 cited

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?

Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang +50

How can we test AI performance? This question seems trivial, but it isn't. Standard benchmarks often have problems such as in-distribution and small-size test sets, oversimplified…

cs.CV2024★ 18 cited

M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models

Fan Bai, Yuxin Du, Tiejun Huang +2

Medical image analysis is essential to clinical diagnosis and treatment, which is increasingly supported by multi-modal large language models (MLLMs). However, previous research ha…

cs.CV2023★ 15 cited

SegVol: Universal and Interactive Volumetric Medical Image Segmentation

Yuxin Du, Fan Bai, Tiejun Huang +1

Precise image segmentation provides clinical study with instructive information. Despite the remarkable progress achieved in medical image segmentation, there is still an absence o…