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Ming Hu

24 papers hereh-index 10316 citations30 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author18
  • last author1

Across the 20 of 24 papers where every author was matched, so the position is known.

fields
  • cs.CV13
  • cs.AI5
  • eess.IV3
  • cs.CL2
  • cs.LG1
same name
  • Ming Hu — 22 papers, h 12
  • Ming Hu — 18 papers, h 49
  • Ming Hu — 16 papers, h 9
  • Ming Hu — 10 papers, h 14
  • Ming Hu — 9 papers, h 5
  • Ming Hu — 6 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedMedAide: Information Fusion and Anatomy of Medical Intents via LLM-based Agent Collaboration

2 citations · 3 across the 22 of their papers we have counts for

collaborators
Showing 2024Show all

3 papers · 1 filter

cs.CV2024

OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining

Ming Hu, Kun Yuan, Yaling Shen +17

Surgical practice involves complex visual interpretation, procedural skills, and advanced medical knowledge, making surgical vision-language pretraining (VLP) particularly challeng…

cs.CV2024★ 1 cited

GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and A Comprehensive Multimodal Dataset Towards General Medical AI

Tianbin Li, Yanzhou Su, Wei Li +15

Despite significant advancements in general AI, its effectiveness in the medical domain is limited by the lack of specialized medical knowledge. To address this, we formulate GMAI-…

cs.CL2024★ 2 cited

MedAide: Information Fusion and Anatomy of Medical Intents via LLM-based Agent Collaboration

Dingkang Yang, Jinjie Wei, Mingcheng Li +8

In healthcare intelligence, the ability to fuse heterogeneous, multi-intent information from diverse clinical sources is fundamental to building reliable decision-making systems. L…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.