Zhile Ren
Scholar

Zhile Ren

Google Scholar ID: PlQaW9YAAAAJ
Apple
Computer VisionDeep Learning
Citations & Impact
All-time
Citations
1,149
 
H-index
15
 
i10-index
18
 
Publications
20
 
Co-authors
55
list available
Resume (English only)
Academic Achievements
  • - Apple Intelligence Foundation Language Models: Lead for on-device model optimization for Apple Foundation Model (AFM).
  • - Apple Intelligence now features Image Playground, Genmoji: Lead for Apple Diffusion Model (ADM) optimization.
  • - Deploying Attention-Based Vision Transformers to Apple Neural Engine: First vision transformer on Apple products.
  • - Apple Augmented Reality: Model optimization for Apple Vision Pro.
  • - 3D object detection in RoomPlan.
  • - Depth estimation algorithm in ARKit.
  • - Published multiple papers in top international conferences such as ICML, CHI, CVPR, ECCV, etc.
Research Experience
  • - Working at Apple on hardware-aware efficient-ML frameworks and algorithms, and optimizing on-device Apple Intelligence large language models and diffusion models.
  • - Previously worked as a Postdoc at Georgia Tech with Dhruv Batra, Devi Parikh, and Irfan Essa.
Education
  • Ph.D. from Brown University in the Computer Science department, advisor: Erik Sudderth; B.S. in Statistics from Zhejiang University.
Background
  • Research interests include hardware-aware efficient machine learning frameworks and algorithms, as well as on-device large language model and diffusion model optimization.
Miscellany
  • Contact: jrenzhile -at- gmail.com
  • Links: Google Scholar, LinkedIn, Curriculum Vitae (PDF)