Yan Kang

Yan Kang

Senior Research Engineer II, Research Manager

Seattle, WA

Yan is a Senior Research Engineer & Manager in the Research Engineering and Design Lab at Adobe Research. He spearheads efforts to streamline computational costs across Adobe’s models at various scales by leveraging efficient attentions, sparse MoE, autoregressive video model, Neural Architecture Search, pruning, distillation, caching, KV compression, post-training inference optimization, etc. To push efficiency to its limits, Yan also works on optimizing the heavy cloud-serving models for on-device deployment, enabling high-performance solutions on edge devices. He is a technical lead and works with a group of researchers and machine learning engineers to conduct model efficiency efforts. The team’s techniques form core layers of Adobe’s foundation model, enabling scaling to unprecedented capacities, resolutions, and video durations.

Contact: yankang [at] adobe [dot] com

News

  • Sep. 2025. We are hiring multiple full-time and interns for Research Scientist/Engineer positions.
  • Mar. 2025. Our video model blog is released, proud to share that I’m one of the seven Research Foundation core members.
  • Nov. 2024. I’m hiring multiple interns for different topics related to GenAI efficiency.
  • Sep. 2024. Won Adobe Tech Excellence Award, among the few recipients worldwide.

Tech Transfers

  • Firefly 1.0
  • Firefly 2.0
  • GenerativeFill 1.0
  • GenerativeFill 3.0
  • MetaCAF (Content Aware Fill)
  • SuperCAF (Content Aware Fill)
  • Wire segmentation
  • Panoptic segmentation
  • Select person
  • On-device image inpainting
  • On-device image super-resolution
  • On-device video super-resolution
  • In-browser panoptic segmentation

Previous graduated interns

Publications