Xiaofan Yu

Orcid: 0000-0002-9638-6184

Affiliations:
  • University of California San Diego, CA, USA


According to our database1, Xiaofan Yu authored at least 33 papers between 2018 and 2025.

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Bibliography

2025
SensorChat: Answering Qualitative and Quantitative Questions during Long-term Multimodal Sensor Interactions.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., September, 2025

Federated Hyperdimensional Computing: Comprehensive Analysis and Robust Communication.
ACM Trans. Internet Things, August, 2025

DailyLLM: Context-Aware Activity Log Generation Using Multi-Modal Sensors and LLMs.
CoRR, July, 2025

Client Selection in Federated Learning with Data Heterogeneity and Network Latencies.
CoRR, April, 2025

Poster Abstract: Fine-grained Contextualized Activity Logs Generation based on Multi-Modal Sensor Data and LLM.
Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems, 2025

SensorQA: A Question Answering Benchmark for Daily-Life Monitoring.
Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems, 2025

Rhychee-FL: Robust and Efficient Hyperdimensional Federated Learning with Homomorphic Encryption.
Proceedings of the Design, Automation & Test in Europe Conference, 2025

Bridging the Gap Between Hyperdimensional Computing and Kernel Methods via the Nyström Method.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Enhanced Noise-Resilient Pressure Mat System Based on Hyperdimensional Computing.
Sensors, February, 2024

Lifelong Intelligence Beyond the Edge using Hyperdimensional Computing.
CoRR, 2024

Evolve: Enhancing Unsupervised Continual Learning with Multiple Experts.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Demo: A Real Time Question Answering System for Multimodal Sensors using LLMs.
Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

Poster: Resource-Efficient Environmental Sound Classification Using Hyperdimensional Computing.
Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

Intelligence Beyond the Edge using Hyperdimensional Computing.
Proceedings of the 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks, 2024

MultimodalHD: Federated Learning Over Heterogeneous Sensor Modalities using Hyperdimensional Computing.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

KalmanHD: Robust On-Device Time Series Forecasting with Hyperdimensional Computing.
Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

2023
Automating and Optimizing Reliability-Driven Deployment in Energy-Harvesting IoT Networks.
IEEE Trans. Netw. Serv. Manag., March, 2023

EmbHD: A Library for Hyperdimensional Computing Research on MCU-Class Devices.
Proceedings of the 2nd Workshop on Networked Sensing Systems for a Sustainable Society, 2023

Poster Abstract: Attentive Multimodal Learning on Sensor Data using Hyperdimensional Computing.
Proceedings of the 22nd International Conference on Information Processing in Sensor Networks, 2023

PhD Forum Abstract: Intelligence beyond the Edge in IoT.
Proceedings of the 22nd International Conference on Information Processing in Sensor Networks, 2023

Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks.
Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation, 2023

Lightning Talk: Private and Secure Edge AI with Hyperdimensional Computing.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
ns3-fl: Simulating Federated Learning with ns-3.
Proceedings of the WNS3 2022: 2022 Workshop on ns-3, Virtual Event, USA, June 22, 2022

Self-Train: Self-Supervised On-Device Training for Post-Deployment Adaptation.
Proceedings of the IEEE International Conference on Smart Internet of Things, 2022

FedHD: federated learning with hyperdimensional computing.
Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

2021
Automating Reliable and Fault-Tolerant Design of LoRa-based IoT Networks.
Proceedings of the 17th International Conference on Network and Service Management, 2021

2020
Optimizing Sensor Deployment and Maintenance Costs for Large-Scale Environmental Monitoring.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Efficient Distributed Training in Heterogeneous Mobile Networks with Active Sampling.
Proceedings of the 16th International Conference on Mobility, Sensing and Networking, 2020

RelIoT: Reliability Simulator for IoT Networks.
Proceedings of the Internet of Things - ICIOT 2020, 2020

Simulating Reliability of IoT Networks with RelIoT.
Proceedings of the 50th Annual IEEE-IFIP International Conference on Dependable Systems and Networks, 2020

Reliability-Driven Deployment in Energy-Harvesting Sensor Networks.
Proceedings of the 16th International Conference on Network and Service Management, 2020

2018
A Robotic Auto-Focus System based on Deep Reinforcement Learning.
Proceedings of the 15th International Conference on Control, 2018


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