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Wenxuan Zhang

10 papers hereh-index 5108 citations17 works total

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

author position
  • first author5
  • middle author5

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.AI3
  • cs.LG3
same name
  • Wenxuan Zhang — 22 papers, h 20
  • Wenxuan Zhang — 15 papers, h 10
  • Wenxuan Zhang — 10 papers, h 10
  • Wenxuan Zhang — 10 papers, h 1
  • Wenxuan Zhang — 8 papers, h 2
  • Wenxuan Zhang — 7 papers, h 1

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
20232026
most citedOvercoming Generic Knowledge Loss with Selective Parameter Update

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

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

Esports World Model Dataset

Weiyu Ma, Zeyuan Gong, Xuhui Liu +5

Interactive world models must capture how multiple participants jointly change a shared environment while observing different parts of it. Competitive games make this challenge con…

cs.CV2025

Vgent: Graph-based Retrieval-Reasoning-Augmented Generation For Long Video Understanding

Xiaoqian Shen, Wenxuan Zhang, Jun Chen +1

Understanding and reasoning over long videos pose significant challenges for large video language models (LVLMs) due to the difficulty in processing intensive video tokens beyond c…

cs.CV2023

ARFA: An Asymmetric Receptive Field Autoencoder Model for Spatiotemporal Prediction

Wenxuan Zhang, Xuechao Zou, Li Wu +3

Spatiotemporal prediction aims to generate future sequences by paradigms learned from historical contexts. It is essential in numerous domains, such as traffic flow prediction and…

cs.CV2023★ 1 cited

Overcoming Generic Knowledge Loss with Selective Parameter Update

Wenxuan Zhang, Paul Janson, Rahaf Aljundi +1

Foundation models encompass an extensive knowledge base and offer remarkable transferability. However, this knowledge becomes outdated or insufficient over time. The challenge lies…

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