Wenhao Wang
Scholar

Wenhao Wang

Google Scholar ID: k3mq3XMAAAAJ
Google DeepMind, University of Technology Sydney
AI SafetyVideo GenerationCopyright ProtectionVisual Copy DetectionDiffusion Models
Citations & Impact
All-time
Citations
463
 
H-index
11
 
i10-index
12
 
Publications
20
 
Co-authors
13
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • VideoUFO: The first dataset curated in alignment with real-world users’ focused topics for text-to-video generation, comprising over 1.09 million video clips spanning 1,291 topics.
  • TIP-I2V: The first dataset comprising over 1.70 million unique user-provided text and image prompts for image-to-video generation.
  • VidProM: The first dataset featuring 1.67 million unique text-to-video prompts and 6.69 million videos generated from 4 different state-of-the-art diffusion models, ranked Top 6/121,084 in the Hugging Face Dataset Trending List on Mar. 19th 2024.
  • Proposed a novel task, origin identification for text-guided image-to-image diffusion models.
  • Introduced ICDiff, the first Image Copy Detection (ICD) specialized for diffusion-generated replicas.
  • Published a survey on replication in visual diffusion models.
Research Experience
  • Before UTS, was a Research Assistant at Baidu Research, co-supervised by Yifan Sun and Yi Yang; previously, a Remote Research Intern at Inception Institute of Artificial Intelligence (IIAI) from 2020 to 2021, supervised by Fang Zhao and Shengcai Liao.
Education
  • Ph.D. student at the University of Technology Sydney, supervised by Yi Yang. Gained a bachelor's degree from Beihang University in 2021 with Shenyuan Medal (Top 10 Undergraduate).
Background
  • Research interests lie in AI safety and visual generation.
Miscellany
  • Currently seeking a research scientist position in industry. Expected to graduate in Spring 2026.