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Weijie Wang

13 papers hereh-index 683 citations15 works total

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

author position
  • first author5
  • middle author8

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CV12
  • cs.LG1
same name
  • Weijie Wang — 21 papers, h 4
  • Weijie Wang — 11 papers, h 7
  • Weijie Wang — 9 papers, h 8
  • Weijie Wang — 4 papers, h 2
  • Weijie Wang — 3 papers, h 4
  • Weijie Wang — 2 papers, h 6

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 citedTurn Fake into Real: Adversarial Head Turn Attacks Against Deepfake Detection

2 citations · 6 across the 13 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.LG2025★ 1 cited

Organ-Agents: Virtual Human Physiology Simulator via LLMs

Rihao Chang, He Jiao, Weizhi Nie +13

Recent advances in large language models (LLMs) have enabled new possibilities in simulating complex physiological systems. We introduce Organ-Agents, a multi-agent framework that…

cs.CV2025

FreeInsert: Disentangled Text-Guided Object Insertion in 3D Gaussian Scene without Spatial Priors

Chenxi Li, Weijie Wang, Qiang Li +3

Text-driven object insertion in 3D scenes is an emerging task that enables intuitive scene editing through natural language. However, existing 2D editing-based methods often rely o…

cs.CV2025

Causal Disentanglement for Robust Long-tail Medical Image Generation

Weizhi Nie, Zichun Zhang, Weijie Wang +3

Counterfactual medical image generation effectively addresses data scarcity and enhances the interpretability of medical images. However, due to the complex and diverse pathologica…

cs.CV2025

Fully-Geometric Cross-Attention for Point Cloud Registration

Weijie Wang, Guofeng Mei, Jian Zhang +3

Point cloud registration approaches often fail when the overlap between point clouds is low due to noisy point correspondences. This work introduces a novel cross-attention mechani…

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