Headshot photo of me

[Photo credit: Hui Shi]

Xiaofan Yu (于晓凡)

Ph.D. Candidate, Computer Science and Engineering
University of California, San Diego

E-mail: x1yu@ucsd.edu
Office: EBU3B 2140

I am a Ph.D. candidate in the System Energy Efficiency Lab (SEELab), advised by Prof. Tajana Šimunić Rosing. I am honored to have been selected as an ML&Systems Rising Star in 2024, a CPS Rising Star in 2023, and an EECS Rising Star in 2022. I have also successfully collaborated with various faculty members and industry partners (full collaboration list). Prior to joining UCSD, I received my B.S. degree from Peking University, China in 2018.

For more details, see my CV.

Research Interests

My research interests are in embedded systems and edge computing. My work mainly focuses on (1) designing on-device learning algorithms for edge devices in real-world environments, (2) building embedded systems and IoT networks that support new applications and needs. I am particularly excited about advancing next-generation edge intelligence that is efficient, robust and innovative.

Publications

Topics:

Teaching Experiences

  • Guest Lecturer, UCSD CSE, 237A: Introduction to Embedding Computing, Winter'23, Winter'25
  • Teaching Assistant, UCSD CSE, 237A: Introduction to Embedding Computing, Winter'22, Winter'23
    (Recommendation rate: 100%)
  • Teaching Assistant, PKU EE, Emerging Techniques for Modern Wireless Communications, Spring'18

Mentorship Experiences

I have mentored over 30 students across HS, BS, MS, and PhD levels since 2020, including the following notable individuals:
I also served as a Mentor in the following programs:

Miscellaneous

Since 2021, I have been organizing paper reading groups to help students in:
  • reading papers accurately and efficiently,
  • designing and conducting research schedules,
  • discussing research effectively with other people.
Throughout this process, I have found that using a template I created is very helpful. You can explore a repository of all the papers we have reviewed here.

COPYRIGHT @ Xiaofan Yu 2018-2025