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 also work closely with Dr. Lucy Cherkasova who is with Arm Research, and Prof. Sicun Gao who is with CSE of UCSD. Prior to joining UCSD, I received my B.S. degree from Peking University, China in 2018.

For more details, see my CV.

Research Interests

I work on various aspects to improve the reliability and robustness of IoT networks during scaling. My current focus is on designing online, unsupervised, lifelong and federated learning algorithms on low-power edge devices, in adaptation to the complex and non-stationary environments.

Publications

Journal Articles

• 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.
  [code] [slides] [bib]
  
• Restoring the Sense of Bladder Fullness for Spinal Cord Injury Patients
  D. Fong, X. Yu, J. Mao, M. Saffarpour, R. Abueshsheikh, P. Gupta, A. Alcantar,
  E. Kurzrock, S. Ghiasi
  Smart Health, 2018.
  [bib]
  

Conference Proceedings

• Self-Train: Self-Supervised On-Device Training for Post-Deployment Adaptation
  J. Liu, X. Yu, T. Rosing
  IEEE International Conference on Smart Internet of Things (SmartIoT), 2022.
  [code]
  
• Automating Reliable and Fault-Tolerant Design of LoRa-based IoT Networks
  X. Yu, W. Xu, L. Cherkasova, T. Rosing
  International Conference on Network and Service Management (CNSM), 2021.
  [code] [slides] [bib] Best Paper Award
  
• Efficient Distributed Training in Heterogeneous Mobile Networks with Active Sampling
  Y. Guo, X. Yu, K. Chaudhuri, T. Rosing
  IEEE International Conference on Mobility, Sensing and Networking (MSN), 2020.
  [bib]
  
• Reliability-Driven Deployment in Energy-Harvesting Sensor Networks
  X. Yu, X. Song, L. Cherkasova, T. Rosing
  International Conference on Network and Service Management (CNSM), 2020.
  [code] [slides] [bib]
  
• RelIoT: Reliability Simulator for IoT Networks
  K. Ergun, X. Yu, N. Nagesh, L. Cherkasova, P. Mercati, R. Ayoub, T. Rosing
  International Conference on Internet of Things (ICIOT), 2020.
  [code] [bib]
  
• A Robotic Auto-Focus System based on Deep Reinforcement Learning
  X. Yu, R. Yu, J. Yang, X. Duan
  International Conference on Control, Automation, Robotics and Vision (ICARCV), 2018.
  [code] [slides] [bib] [arXiv]
  

Workshop Papers

• ns3-fl: Simulating Federated Learning with ns-3
  E. Ekaireb, X. Yu, K. Ergun, Q. Zhao, K. Lee, M. Huzaifa, T. Rosing
  The workshop on ns-3 (WNS3), 2022.
  [code]
  

Miscellaneous

Any milktea suggestions in San Diego?