Headshot photo of me

[Photo credit: Hui Shi]

Xiaofan Yu (于晓凡)

Assistant Professor, Department of Electrical Engineering
University of California, Merced

E-mail: xiaofanyu@ucmerced.edu
Office: Science and Engineering Building 2 (SE2) #382

Education:
Ph.D., UC San Diego, 2025, advised by Prof. Tajana Šimunić Rosing
B.S., Peking University, China, 2018

Awards:
ML&Systems Rising Star, 2024
CPS Rising Star, 2023
EECS Rising Star, 2022

More Information: My CV, Group's Website

I am actively recruiting highly motivated Ph.D. students and Research Assistants! Learn more here.


Research Interests

  • On-device AI for edge computing in real-world deployments
  • Embedded systems design for emerging applications and needs
  • Neuromorphic and next-generation edge intelligence

I am broadly interested in building intelligent and autonomous embedded systems. Much of my work involves collaborations with academia and industry partners (full collaboration list).


Selected Publications

For the full publication list, see YuCCA Lab's publication or google scholar.
IMWUT'25

SensorChat: Answering Qualitative and Quantative Questions during Long-Term Multimodal Sensor Interactions

X. Yu, L. Hu, B. Reichman, D. Chu, R. Chandrupatla, X. Zhang, L. Heck, T. Rosing
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologie (IMWUT), 2025
SenSys'25

SensorQA: A Question Answering Benchmark for Daily-Life Monitoring

B. Reichman*, X. Yu*, L. Hu, J. Truxal, A. Jain, R. Chandrupatla, T. Rosing, L. Heck
ACM Conference on Embedded Networked Sensor Systems (SenSys), 2025
IPSN'24

Lifelong Intelligence beyond the Edge using Hyperdimensional Computing

X. Yu, A. Thomas, I. Gomez Moreno, L. Gutierrez, T. Rosing
ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2024
IoTDI'23

Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks

X. Yu, L. Cherkasova, H. Vardhan, Q. Zhao, E. Ekaireb, X. Zhang, A. Mazumdar, T. Rosing
ACM/IEEE International Conference on Internet of Things Design and Implementation (IoTDI), 2023
TCAD'20

Optimizing Sensor Deployment and Maintenance Cost for Large-Scale Environmental Monitoring

X. Yu, K. Ergun, L. Cherkasova, T. Rosing
IEEE Transactions on Computer Aided Design of Integrated Circuits & Systems (TCAD), 2020

Teaching

  • EE 60 (Spring 26), Digital System Design

Mentorship

Since 2020, I have mentored approximately 40 students across high school, undergraduate, master's, and doctoral levels, fostering research excellence and professional development.

Individual Mentees
Structured Mentorship Programs
Early Research Scholarship Program (ERSP) at UCSD
ENLACE Summer Research Program at UCSD

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