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Kai Wang

11 papers hereh-index 7218 citations15 works total

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

author position
  • middle author10

Across the 10 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.AI2
  • cs.LG2
  • cs.DC1
same name
  • Kai Wang — 50 papers, h 24
  • Kai Wang — 37 papers, h 9
  • Kai Wang — 31 papers, h 5
  • Kai Wang — 30 papers, h 34
  • Kai Wang — 23 papers, h 13
  • Kai Wang — 20 papers, h 9

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 citedReal-Time Video Generation with Pyramid Attention Broadcast

4 citations · 4 across the 11 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs

Wangbo Zhao, Yizeng Han, Jiasheng Tang +5

Vision-language models (VLMs) have shown remarkable success across various multi-modal tasks, yet large VLMs encounter significant efficiency challenges due to processing numerous…

cs.AI2024

Conditional LoRA Parameter Generation

Xiaolong Jin, Kai Wang, Dongwen Tang +4

Generative models have achieved remarkable success in image, video, and text domains. Inspired by this, researchers have explored utilizing generative models to generate neural net…

cs.CV2024★ 4 cited

Real-Time Video Generation with Pyramid Attention Broadcast

Xuanlei Zhao, Xiaolong Jin, Kai Wang +1

We present Pyramid Attention Broadcast (PAB), a real-time, high quality and training-free approach for DiT-based video generation. Our method is founded on the observation that att…

cs.DC2024

StarTrail: Concentric Ring Sequence Parallelism for Efficient Near-Infinite-Context Transformer Model Training

Ziming Liu, Shaoyu Wang, Shenggan Cheng +5

Training Transformer models on long sequences in a distributed setting poses significant challenges in terms of efficiency and scalability. Current methods are either constrained b…

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