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researcher

Bo Liu

13 papers hereh-index 111.2k citations21 works total

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

author position
  • first author4
  • middle author8

Across the 12 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CL9
  • cs.CV3
  • cs.AI1
same name
  • Bo Liu — 38 papers, h 33
  • Bo Liu — 28 papers, h 17
  • Bo Liu — 25 papers, h 15
  • Bo Liu — 22 papers, h 8
  • Bo Liu — 21 papers, h 15
  • Bo Liu — 16 papers, h 9

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
20212025
most citedSLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering

10 citations · 22 across the 12 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2024

GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-ray Diagnosis

Bo Liu, Ke Zou, Liming Zhan +7

Medical Visual Question Answering (Med-VQA) combines computer vision and natural language processing to automatically answer clinical inquiries about medical images. However, curre…

cs.CV2023★ 7 cited

Multi-modal Pre-training for Medical Vision-language Understanding and Generation: An Empirical Study with A New Benchmark

Li Xu, Bo Liu, Ameer Hamza Khan +2

With the availability of large-scale, comprehensive, and general-purpose vision-language (VL) datasets such as MSCOCO, vision-language pre-training (VLP) has become an active area…

cs.CV2021★ 10 cited

SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering

Bo Liu, Li-Ming Zhan, Li Xu +3

Medical visual question answering (Med-VQA) has tremendous potential in healthcare. However, the development of this technology is hindered by the lacking of publicly-available and…

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