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researcher

Wen Wang

4 papers hereh-index 5132 citations8 works total

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

author position
  • first author3
  • middle author1

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

fields
  • cs.CV2
  • cs.RO1
  • cs.SD1
same name
  • Wen Wang — 168 papers, h 173
  • Wen Wang — 36 papers, h 11
  • Wen Wang — 15 papers, h 8
  • Wen Wang — 15 papers, h 8
  • Wen Wang — 15 papers, h 11
  • Wen Wang — 11 papers, h 10

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
20142026
most citedDeeply Coupled Auto-encoder Networks for Cross-view Classification

27 citations · 27 across the 3 of their papers we have counts for

collaborators

4 papers

cs.RO2026

EMPIRE: Explicit Manipulation Planning as a Learnable Intermediate Representation for Egocentric Hand-Motion Forecasting

Wen Wang, Ruibing Hou, Hong Chang +2

Forecasting dexterous hand motions from egocentric observations is fundamental to intelligent interactive systems. Existing VLM-based methods typically map observations directly to…

cs.CV2025

HumanPCR: Probing MLLM Capabilities in Diverse Human-Centric Scenes

Keliang Li, Hongze Shen, Hao Shi +9

The aspiration for artificial general intelligence, fueled by the rapid progress of multimodal models, demands human-comparable performance across diverse environments. We propose…

cs.SD2025

MATS: An Audio Language Model under Text-only Supervision

Wen Wang, Ruibing Hou, Hong Chang +2

Large audio-language models (LALMs), built upon powerful Large Language Models (LLMs), have exhibited remarkable audio comprehension and reasoning capabilities. However, the traini…

cs.CV2014★ 27 cited

Deeply Coupled Auto-encoder Networks for Cross-view Classification

Wen Wang, Zhen Cui, Hong Chang +2

The comparison of heterogeneous samples extensively exists in many applications, especially in the task of image classification. In this paper, we propose a simple but effective co…

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