- 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)