Bufang Yang

Orcid: 0000-0003-0032-2539

According to our database1, Bufang Yang authored at least 24 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
SensorPersona: An LLM-Empowered System for Continual Persona Extraction from Longitudinal Mobile Sensor Streams.
CoRR, April, 2026

PerCache: Predictive Hierarchical Cache for RAG Applications on Mobile Devices.
CoRR, January, 2026

2025
DeepFeature: Iterative Context-aware Feature Generation for Wearable Biosignals.
CoRR, December, 2025

A Large-Scale Multimodal Dataset and Benchmarks for Human Activity Scene Understanding and Reasoning.
CoRR, December, 2025

ProAgent: Harnessing On-Demand Sensory Contexts for Proactive LLM Agent Systems.
CoRR, December, 2025

Synera: Synergistic LLM Serving across Device and Cloud at Scale.
CoRR, November, 2025

ContextAgent: Context-Aware Proactive LLM Agents with Open-World Sensory Perceptions.
CoRR, May, 2025

An LLM-Empowered Low-Resolution Vision System for On-Device Human Behavior Understanding.
CoRR, May, 2025

EmbodiedSense: Understanding Embodied Activities with Earphones.
CoRR, April, 2025

SocialMind: LLM-based Proactive AR Social Assistive System with Human-like Perception for In-situ Live Interactions.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., March, 2025

SCX: Stateless KV-Cache Encoding for Cloud-Scale Confidential Transformer Serving.
Proceedings of the ACM SIGCOMM 2025 Conference, 2025

TaskSense: A Translation-like Approach for Tasking Heterogeneous Sensor Systems with LLMs.
Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems, 2025

Myo-Trainer: A Vision-based Muscle-Aware Motion Feedback System for In-Home Resistance Training.
Proceedings of the 31st Annual International Conference on Mobile Computing and Networking, 2025

2024
DrHouse: An LLM-empowered Diagnostic Reasoning System through Harnessing Outcomes from Sensor Data and Expert Knowledge.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., November, 2024

BrainZ-BP: A Noninvasive Cuff-Less Blood Pressure Estimation Approach Leveraging Brain Bio-Impedance and Electrocardiogram.
IEEE Trans. Instrum. Meas., 2024

VIAssist: Adapting Multi-modal Large Language Models for Users with Visual Impairments.
CoRR, 2024

Poster Abstract: Tasking Heterogeneous Sensor Systems with LLMs.
Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

Soar: Design and Deployment of A Smart Roadside Infrastructure System for Autonomous Driving.
Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

2023
BrainZ-BP: A Non-invasive Cuff-less Blood Pressure Estimation Approach Leveraging Brain Bio-impedance and Electrocardiogram.
CoRR, 2023

EdgeFM: Leveraging Foundation Model for Open-set Learning on the Edge.
Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023

2022
A Novel Sleep Stage Contextual Refinement Algorithm Leveraging Conditional Random Fields.
IEEE Trans. Instrum. Meas., 2022

2021
A single-channel EEG based automatic sleep stage classification method leveraging deep one-dimensional convolutional neural network and hidden Markov model.
Biomed. Signal Process. Control., 2021

2020
Automatic Identification of Insomnia Based on Single-Channel EEG Labelled With Sleep Stage Annotations.
IEEE Access, 2020

Automatic Sleep Arousals Detection From Polysomnography Using Multi-Convolution Neural Network and Random Forest.
IEEE Access, 2020


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