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researcher

Wen Wang

15 papers hereh-index 11819 citations21 works total

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

author position
  • first author5
  • middle author10

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CV13
  • cs.CL2
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 — 11 papers, h 10
  • Wen Wang — 11 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 citedZero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models

24 citations · 29 across the 13 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CV2026

LLM-Empowered Multimodal Fusion Framework for Autonomous Driving: Semantic Enhancement and Channel-Adaptive Design

Wen Wang, Yaping Sun, Yejun He +5

Vision-radar fusion is central to robust autonomous driving, combining dense visual semantics with precise range and velocity measurements from radar. However, real-world fusion qu…

cs.CV2026

MMControl: Unified Multi-Modal Control for Joint Audio-Video Generation

Liyang Li, Wen Wang, Canyu Zhao +4

Recent advances in Diffusion Transformers (DiTs) have enabled high-quality joint audio-video generation, producing videos with synchronized audio within a single model. However, ex…

cs.CL2026

Efficient Self-Evaluation for Diffusion Language Models via Sequence Regeneration

Linhao Zhong, Linyu Wu, Wen Wang +5

Diffusion large language models (dLLMs) have recently attracted significant attention for their ability to enhance diversity, controllability, and parallelism. However, their non-s…

cs.CL2026

Beyond Hard Masks: Progressive Token Evolution for Diffusion Language Models

Linhao Zhong, Linyu Wu, Bozhen Fang +6

Diffusion Language Models (DLMs) offer a promising alternative for language modeling by enabling parallel decoding through iterative refinement. However, most DLMs rely on hard bin…

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