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Shaoting Zhang

11 papers hereh-index 10159 citations14 works total

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

author position
  • middle author4
  • last author7

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CV8
  • cs.AI1
  • cs.LG1
  • eess.IV1
same name
  • Shaoting Zhang — 53 papers, h 39
  • Shaoting Zhang — 36 papers, h 14
  • Shaoting Zhang — 21 papers, h 48
  • Shaoting Zhang — 14 papers, h 8
  • Shaoting Zhang — 7 papers, h 8
  • Shaoting Zhang — 5 papers, h 4

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
20232026
most citedBoosting Dermatoscopic Lesion Segmentation via Diffusion Models with Visual and Textual Prompts

4 citations · 11 across the 11 of their papers we have counts for

collaborators
Showing 2024 · cs.CVShow all

3 papers · 2 filters

cs.CV2024★ 1 cited

One Leaf Reveals the Season: Occlusion-Based Contrastive Learning with Semantic-Aware Views for Efficient Visual Representation

Xiaoyu Yang, Lijian Xu, Hongsheng Li +1

This paper proposes a scalable and straightforward pre-training paradigm for efficient visual conceptual representation called occluded image contrastive learning (OCL). Our OCL ap…

cs.CV2024★ 1 cited

MedViLaM: A multimodal large language model with advanced generalizability and explainability for medical data understanding and generation

Lijian Xu, Hao Sun, Ziyu Ni +2

Medicine is inherently multimodal and multitask, with diverse data modalities spanning text, imaging. However, most models in medical field are unimodal single tasks and lack good…

cs.CV2024★ 1 cited

Pathology-knowledge Enhanced Multi-instance Prompt Learning for Few-shot Whole Slide Image Classification

Linhao Qu, Dingkang Yang, Dan Huang +4

Current multi-instance learning algorithms for pathology image analysis often require a substantial number of Whole Slide Images for effective training but exhibit suboptimal perfo…

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