About

I am currently a Research Scientist at Adobe. I obtained my PhD from Georgia Tech, advised by Prof. Yingyan (Celine) Lin. My research is dedicated to creating efficient ML systems through algorithm-hardware co-design. This involves addressing the challenge posed by the increasing complexity of advanced ML models, such as large language models (LLMs) and large vision models (LVMs), against the constraints of both edge and cloud computing devices.

My research work has received recognition, including winning First Place at the ACM Student Research Competition (SRC) at ICCAD’23, securing the Best Poster Award at the SCS Poster Competition of Georgia Tech, and being selected as an IEEE Micro’s Top Pick of 2023. Additionally, I was named one of the Machine Learning and Systems Rising Stars of 2023, received the Outstanding Graduate Research Assistant Award, won first place in the University Best Demonstration at DAC’22, and our ViTCoD project was honored with the Meta Faculty Research Award of 2022.


Education


Industry Experience


Selected News


Services

Conference Reviewer

  • ICML: 2021, 2022, 2023, 2024
  • NeurIPS: 2021, 2022, 2023, 2024, 2025
  • ICLR: 2022, 2023, 2024
  • CVPR: 2022, 2023, 2024, 2025
  • ICCV: 2023
  • ECCV: 2022, 2024
  • AAAI: 2023, 2024

Journal Reviewer

Volunteering Service