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researcher

Lei Wu

4 papers hereh-index 5102 citations14 works total

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

author position
  • middle author4

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

fields
  • cs.MM2
  • cs.IR1
  • cs.LG1
same name
  • Lei Wu — 86 papers, h 35
  • Lei Wu — 38 papers, h 32
  • Lei Wu — 24 papers, h 24
  • Lei Wu — 17 papers, h 8
  • Lei Wu — 16 papers
  • Lei Wu — 15 papers, h 7

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 citedSmart Fitting Room: A One-stop Framework for Matching-aware Virtual Try-on

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

collaborators

4 papers

cs.IR2026

Dual-Diffusional Generative Fashion Recommendation

Mingzhe Yu, Lei Wu, Qianru Sun +1

Personalized generative recommender systems have emerged as a promising solution for fashion recommendation. However, existing methods primarily rely on implicit visual embeddings…

cs.LG2026

From Selection to Scheduling: Federated Geometry-Aware Correction Makes Exemplar Replay Work Better under Continual Dynamic Heterogeneity

Zhuang Qi, Ying-Peng Tang, Lei Meng +4

Exemplar replay has become an effective strategy for mitigating catastrophic forgetting in federated continual learning (FCL) by retaining representative samples from past tasks. E…

cs.MM2025

FashionDPO:Fine-tune Fashion Outfit Generation Model using Direct Preference Optimization

Mingzhe Yu, Yunshan Ma, Lei Wu +3

Personalized outfit generation aims to construct a set of compatible and personalized fashion items as an outfit. Recently, generative AI models have received widespread attention,…

cs.MM2024★ 4 cited

Smart Fitting Room: A One-stop Framework for Matching-aware Virtual Try-on

Mingzhe Yu, Yunshan Ma, Lei Wu +4

The development of virtual try-on has revolutionized online shopping by allowing customers to visualize themselves in various fashion items, thus extending the in-store try-on expe…

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