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 .
🚀🚀🚀 I will be on the academic job market for the 2024-2025 cycle. If you are aware of any openings for Tenure-Track Assistant Professor positions, I would appreciate any information or referrals! pdf ], Teaching Statement [pdf ], DEI Statement [pdf ]
Topics:
On-Device AI for IoT
Distributed AI for IoT
New IoT Applications
IoT Optimization
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
code ]
[slides ]
[arXiv ]
[bib ]
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
code ]
[slides ]
[arXiv ]
[bib ]
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
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[slides ]
[bib ]
Journal Articles
Private and Efficient Learning with Hyperdimensional Computing * , X. Yu * , J. Kang, X. Wang, T. Rosing
IEEE Transactions on Circuits and Systems for Artificial Intelligence (TCASAI) , 2024
bib ]
Enhanced Noise-Resilient Pressure Mat System based on Hyperdimensional Computing X. Yu , D. Jiang, J. Morris, T. Rosing, B. Aksanli
MDPI Sensors , 2024
bib ]
Automating and Optimizing Reliability-Driven Deployment in Energy-Harvesting IoT Networks X. Yu , K. Ergun, X. Song, L. Cherkasova, T. Rosing
IEEE Transactions on Network and Service Management (TNSM) , 2022
code ]
[bib ]
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 X. Yu , J. Mao, M. Saffarpour, R. Abueshsheikh, P. Gupta, A. Alcantar, Smart Health , 2018
bib ]
Conference Proceedings
Rhychee-FL: Robust and Efficient Hyperdimensional Federated Learning with Homomorphic Encryption * , Y. Venkatesha* , X. Yu * , G. De Micheli, X. Wang, M. Zhou, A. Vega, P. Panda, T. Rosing
Design Automation and Test in Europe Conference (DATE) , 2025
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
code ]
[slides ]
[arXiv ]
[bib ]
Evolve: Enhancing Unsupervised Continual Learning with Multiple Experts X. Yu , T. Rosing, Y. Guo
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) , 2024
code ]
[slides ]
[poster ]
[bib ]
MultimodalHD: Federated Learning over Heterogeneous Sensor Modalities using Hyperdimensional Computing X. Yu , S. Hu, T. Rosing
Design Automation and Test in Europe Conference (DATE) , 2024
code ]
[bib ]
KalmanHD: Robust On-Device Time Series Forecasting with Hyperdimensional Computing X. Yu , T. Rosing
Asia and South Pacific Design Automation Conference (ASP-DAC) , 2024
code ]
[bib ]
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
code ]
[slides ]
[bib ]
[arXiv ]
Self-Train: Self-Supervised On-Device Training for Post-Deployment Adaptation X. Yu , T. Rosing
IEEE International Conference on Smart Internet of Things (SmartIoT) , 2022
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[bib ]
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
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[slides ]
[bib ]
Best Paper Award
Efficient Distributed Training in Heterogeneous Mobile Networks with Active Sampling 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 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 ]
[arXiv ]
[bib ]
Workshop Papers
SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge X. Yu , Y. Guo, S. Gao, T. Rosing
CVPR Workshop on Continual Learning (CLVision) , 2023
code ]
[poster ]
[bib ]
[arXiv ]
EmbHD: A Library for Hyperdimensional Computing Research on MCU-Class Devices X. Yu , S. Hu, P. Pannuto, T. Rosing
MobiCom Workshop on Networked Sensing Systems for a Sustainable Society (NET4us) , 2023
code ]
[slides ]
[bib ]
Unleashing Hyperdimensional Computing with Nyström Method based Data Adaptive Encoding X. Yu , T. Rosing
NeurIPS Workshop on ML with New Compute Paradigms (MLNCP) , 2023
ns3-fl: Simulating Federated Learning with ns-3 X. Yu , K. Ergun, Q. Zhao, K. Lee, M. Huzaifa, T. Rosing
The Workshop on ns-3 (WNS3) , 2022
code ]
[bib ]
Posters, Demos and Other Publications
Demo: A Real Time Question Answering System for Multimodal Sensors using LLMs X. Yu , L. Hu, B. Reichman, R. Chandrupatla, D. Chu, X. Zhang, L. Heck, T. Rosing
ACM Conference on Embedded Networked Sensor Systems (SenSys) , 2024
bib ]
Poster: Resource-Efficient Environmental Sound Classification Using Hyperdimensional Computing * , S. Bian* , X. Yu , Q. Zhao, L. Zhang, T. Rosing
ACM Conference on Embedded Networked Sensor Systems (SenSys) , 2024
bib ]
Lightning Talk: Private and Secure Learning at the Edge with Hyperdimensional Computing X. Yu , M. Zhou, F. Asgarinejad, O. Gungor, B. Aksanli, T. Rosing
Design Automation Conference (DAC) , 2023
PhD Forum Abstract: Intelligence beyond the Edge in IoT X. Yu
ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) , 2023.
slides ]
[bib ]
Best PhD Forum Presentation Award
Attentive Multimodal Learning on Sensor Data using Hyperdimensional Computing X. Yu , T. Rosing
ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) , 2023
bib ]
FedHD: Federated Learning with Hyperdimensional Computing X. Yu , T. Rosing
ACM Annual International Conference On Mobile Computing And Networking (MobiCom) , 2022
code ]
[bib ]
On-Device AI for IoT
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
code ]
[slides ]
[arXiv ]
[bib ]
Evolve: Enhancing Unsupervised Continual Learning with Multiple Experts X. Yu , T. Rosing, Y. Guo
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) , 2024
code ]
[slides ]
[poster ]
[bib ]
Private and Efficient Learning with Hyperdimensional Computing * , X. Yu * , J. Kang, X. Wang, T. Rosing
IEEE Transactions on Circuits and Systems for Artificial Intelligence (TCASAI) , 2024
bib ]
KalmanHD: Robust On-Device Time Series Forecasting with Hyperdimensional Computing X. Yu , T. Rosing
Asia and South Pacific Design Automation Conference (ASP-DAC) , 2024
code ]
[bib ]
SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge X. Yu , Y. Guo, S. Gao, T. Rosing
CVPR Workshop on Continual Learning (CLVision) , 2023
code ]
[poster ]
[bib ]
[arXiv ]
EmbHD: A Library for Hyperdimensional Computing Research on MCU-Class Devices X. Yu , S. Hu, P. Pannuto, T. Rosing
MobiCom Workshop on Networked Sensing Systems for a Sustainable Society (NET4us) , 2023
code ]
[slides ]
[bib ]
Unleashing Hyperdimensional Computing with Nyström Method based Data Adaptive Encoding X. Yu , T. Rosing
NeurIPS Workshop on ML with New Compute Paradigms (MLNCP) , 2023
Self-Train: Self-Supervised On-Device Training for Post-Deployment Adaptation X. Yu , T. Rosing
IEEE International Conference on Smart Internet of Things (SmartIoT) , 2022
code ]
[bib ]
Distributed AI for IoT
Rhychee-FL: Robust and Efficient Hyperdimensional Federated Learning with Homomorphic Encryption * , Y. Venkatesha* , X. Yu * , G. De Micheli, X. Wang, M. Zhou, A. Vega, P. Panda, T. Rosing
Design Automation and Test in Europe Conference (DATE) , 2025
MultimodalHD: Federated Learning over Heterogeneous Sensor Modalities using Hyperdimensional Computing X. Yu , S. Hu, T. Rosing
Design Automation and Test in Europe Conference (DATE) , 2024
code ]
[bib ]
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
code ]
[slides ]
[bib ]
[arXiv ]
FedHD: Federated Learning with Hyperdimensional Computing X. Yu , T. Rosing
ACM Annual International Conference On Mobile Computing And Networking (MobiCom) , 2022
code ]
[bib ]
Efficient Distributed Training in Heterogeneous Mobile Networks with Active Sampling X. Yu , K. Chaudhuri, T. Rosing
IEEE International Conference on Mobility, Sensing and Networking (MSN) , 2020
bib ]
New IoT Applications
Demo: A Real Time Question Answering System for Multimodal Sensors using LLMs X. Yu , L. Hu, B. Reichman, R. Chandrupatla, D. Chu, X. Zhang, L. Heck, T. Rosing
ACM Conference on Embedded Networked Sensor Systems (SenSys) , 2024
bib ]
Poster: Resource-Efficient Environmental Sound Classification Using Hyperdimensional Computing * , S. Bian* , X. Yu , Q. Zhao, L. Zhang, T. Rosing
ACM Conference on Embedded Networked Sensor Systems (SenSys) , 2024
bib ]
Enhanced Noise-Resilient Pressure Mat System based on Hyperdimensional Computing X. Yu , D. Jiang, J. Morris, T. Rosing, B. Aksanli
MDPI Sensors , 2024
bib ]
Restoring the Sense of Bladder Fullness for Spinal Cord Injury Patients X. Yu , J. Mao, M. Saffarpour, R. Abueshsheikh, P. Gupta, A. Alcantar, Smart Health , 2018
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 ]
[arXiv ]
[bib ]
IoT Optimization
Automating and Optimizing Reliability-Driven Deployment in Energy-Harvesting IoT Networks X. Yu , K. Ergun, X. Song, L. Cherkasova, T. Rosing
IEEE Transactions on Network and Service Management (TNSM) , 2022
code ]
[bib ]
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 ]
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
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 X. Yu , N. Nagesh, L. Cherkasova, P. Mercati, R. Ayoub, T. Rosing
International Conference on Internet of Things (ICIOT) , 2020
code ]
[bib ]
ns3-fl: Simulating Federated Learning with ns-3 X. Yu , K. Ergun, Q. Zhao, K. Lee, M. Huzaifa, T. Rosing
The Workshop on ns-3 (WNS3) , 2022
code ]
[bib ]
Others
Teaching and Mentorship Experiences
As a Teaching Assistant:
At UCSD: CSE237A Introduction to Embedding Computing, Winter'22, Winter'23
(Recommendation Rate: 100% )
At PKU: Emerging Techniques for Modern Wireless Communications, Spring'18
As a Mentor, I have mentored over 30 students across HS, BS, MS, and PhD levels since 2020, including 16 women and 18 students from underrepresented groups, with examples of representation below:
Michael Sullivan (BS 2027 at UCSD)
Run Wang (BS 2026 at UCSD; Publication: SenSys'24b )
Rushil Chandrupatla (BS 2026 at UCSD; Publication: SenSys'24a )
Lele Zhao (BS 2025 at UCSD)
Dylan Chu (BS 2025 at UCSD; Publication: SenSys'24a )
Shengfan Hu (MS 2024 at UCSD → Supermicro; Publication: NET4us'23 , DATE'24 )
Ivannia Gomez Moreno (BS 2023 at CETYS University → PhD student at UCSD; Publication: ASP-DAC'24 )
Quanling Zhao (BS 2023 at UCSD → PhD student at UCSD; Publication: MobiCom'22 , IPSN'23 , MLNCP'23 , DATE'24 )
Danlin Jiang (MS 2023 at UCSD → RF-Lambda; Publication: MDPI Sensors'24 )
Jinhao Liu (BS 2022 at UCSD → Whova; Publication: SmartIoT'22 )
Emily Ekaireb (BS 2022 at UCSD → MS student at UCSD; Publication: WNS3'22 )
Xueyang Song (BS 2021 at UCSD → MS student at Stanford; Publication: CNSM'20 )
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 helpful. You can explore a repository of all the papers we have reviewed
here .
