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Ming-Ching Chang

11 papers hereh-index 438 citations20 works total

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

author position
  • middle author9
  • last author2

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

fields
  • cs.CV6
  • cs.LG4
  • cs.AI1
same name
  • Ming-Ching Chang — 20 papers, h 18
  • Ming-Ching Chang — 8 papers, h 25
  • Ming-Ching Chang — 8 papers, h 4
  • Ming-Ching Chang — 7 papers, h 3
  • Ming-Ching Chang — 4 papers, h 4
  • Ming-Ching Chang — 2 papers, h 6

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 citedA Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective

1 citations · 1 across the 11 of their papers we have counts for

collaborators
Showing 2024 · cs.CVShow all

3 papers · 2 filters

cs.CV2024

Who Brings the Frisbee: Probing Hidden Hallucination Factors in Large Vision-Language Model via Causality Analysis

Po-Hsuan Huang, Jeng-Lin Li, Chin-Po Chen +2

Recent advancements in large vision-language models (LVLM) have significantly enhanced their ability to comprehend visual inputs alongside natural language. However, a major challe…

cs.CV2024

Learning with Instance-Dependent Noisy Labels by Anchor Hallucination and Hard Sample Label Correction

Po-Hsuan Huang, Chia-Ching Lin, Chih-Fan Hsu +2

Learning from noisy-labeled data is crucial for real-world applications. Traditional Noisy-Label Learning (NLL) methods categorize training data into clean and noisy sets based on…

cs.CV2024

Improving Limited Supervised Foot Ulcer Segmentation Using Cross-Domain Augmentation

Shang-Jui Kuo, Po-Han Huang, Chia-Ching Lin +2

Diabetic foot ulcers pose health risks, including higher morbidity, mortality, and amputation rates. Monitoring wound areas is crucial for proper care, but manual segmentation is s…

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