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Mengze Li

4 papers hereh-index 5116 citations25 works total

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

author position
  • sole author1
  • middle author2
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • stat.ML2
same name
  • Mengze Li — 8 papers, h 4
  • Mengze Li — 6 papers, h 7
  • Mengze Li — 3 papers, h 3
  • Mengze Li — 2 papers, h 4
  • Mengze Li — 1 paper, h 2

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 citedGeneralization Gap in Data Augmentation: Insights from Illumination

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

collaborators

4 papers

stat.ML2026

Exact Minimum-Volume Confidence Set Intersection for Multinomial Outcomes

Heguang Lin, Binhao Chen, Mengze Li +2

Computation of confidence sets is central to data science and machine learning, serving as the workhorse of A/B testing and underpinning the operation and analysis of reinforcement…

stat.ML2025

Non-asymptotic convergence bound of conditional diffusion models

Mengze Li

Learning and generating various types of data based on conditional diffusion models has been a research hotspot in recent years. Although conditional diffusion models have made con…

cs.CV2025★ 1 cited

PRISM-0: A Predicate-Rich Scene Graph Generation Framework for Zero-Shot Open-Vocabulary Tasks

Abdelrahman Elskhawy, Mengze Li, Nassir Navab +1

In Scene Graph Generation (SGG), structured representations are extracted from visual inputs as object nodes and connecting predicates, enabling image-based reasoning for diverse d…

cs.CV2024★ 2 cited

Generalization Gap in Data Augmentation: Insights from Illumination

Jianqiang Xiao, Weiwen Guo, Junfeng Liu +1

In the field of computer vision, data augmentation is widely used to enrich the feature complexity of training datasets with deep learning techniques. However, regarding the genera…

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