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Mingxuan Wang

9 papers hereh-index 226 citations10 works total

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

author position
  • first author2
  • middle author5

Across the 7 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.LG3
  • cs.AI1
  • cs.SD1
  • eess.AS1
same name
  • Mingxuan Wang — 55 papers, h 32
  • Mingxuan Wang — 13 papers, h 16
  • Mingxuan Wang — 13 papers, h 8
  • Mingxuan Wang — 8 papers, h 5
  • Mingxuan Wang — 4 papers
  • Mingxuan Wang — 2 papers, 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 citedSingVisio: Visual Analytics of Diffusion Model for Singing Voice Conversion

1 citations · 2 across the 8 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CV2026

LoopVL: Recurrent Visual Intelligence

Zhe Qian, Ziyang Gong, Zhongxing Xu +13

We introduce LoopVL to study whether Loop Transformers can be effectively extended to vision- language models. LoopVL combines Module-Loop and Model-Loop computation to iteratively…

cs.CV2026

Information Density Imbalance in Visual Object Detection

Ziwei Zhao, Yanxi Lu, Yuwei Hu +8

In object detection, the number of instances is typically used to determine whether a dataset exhibits a long-tailed distribution, implicitly assuming that the model will perform p…

cs.LG2026

ScDiVa: Masked Discrete Diffusion for Joint Modeling of Single-Cell Identity and Expression

Mingxuan Wang, Cheng Chen, Gaoyang Jiang +4

Single-cell RNA-seq profiles are high-dimensional, sparse, and unordered, causing autoregressive generation to impose an artificial ordering bias and suffer from error accumulation…

cs.CV2026

MathDoc: Benchmarking Structured Extraction and Active Refusal on Noisy Mathematics Exam Papers

Chenyue Zhou, Jiayi Tuo, Shitong Qin +7

The automated extraction of structured questions from paper-based mathematics exams is fundamental to intelligent education, yet remains challenging in real-world settings due to s…

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