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Licheng Jiao

3 papers hereh-index 476 citations18 works total

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

author position
  • last author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3
same name
  • Licheng Jiao — 34 papers, h 16
  • Licheng Jiao — 14 papers, h 43
  • Licheng Jiao — 12 papers, h 9
  • Licheng Jiao — 12 papers, h 6
  • Licheng Jiao — 8 papers, h 10
  • Licheng Jiao — 3 papers, h 5

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

most citedA Novel Adaptive Fine-Tuning Algorithm for Multimodal Models: Self-Optimizing Classification and Selection of High-Quality Datasets in Remote Sensing

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

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2025

DI3CL: Contrastive Learning With Dynamic Instances and Contour Consistency for SAR Land-Cover Classification Foundation Model

Zhongle Ren, Hui Ding, Kai Wang +4

Although significant advances have been achieved in SAR land-cover classification, recent methods remain predominantly focused on supervised learning, which relies heavily on exten…

cs.CV2024★ 1 cited

MMDS: A Multimodal Medical Diagnosis System Integrating Image Analysis and Knowledge-based Departmental Consultation

Yi Ren, HanZhi Zhang, Weibin Li +5

We present MMDS, a system capable of recognizing medical images and patient facial details, and providing professional medical diagnoses. The system consists of two core components…

cs.CV2024★ 1 cited

A Novel Adaptive Fine-Tuning Algorithm for Multimodal Models: Self-Optimizing Classification and Selection of High-Quality Datasets in Remote Sensing

Yi Ren, Tianyi Zhang, Zhixiong Han +6

We propose an adaptive fine-tuning algorithm for multimodal large models. The core steps of this algorithm involve two stages of truncation. First, the vast amount of data is proje…

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