Xu Chen

Secure and Cost-Efficient Task Assignment for Decentralized Mobile Crowdsensing: A Governance-Oriented Tiered Approach

The blockchain-based Mobile Crowdsensing (MCS) system has emerged as a promising solution to achieve transparent and trustworthy task assignment, via on-chain smart contracts. It allows requesters to upload crowdsensing tasks to smart contracts, which then transparently assign tasks to different workers. Despite their...

GeoPrivd: Geospatial Privacy-Preserving Urban Traffic Video Analytics Queries With Trajectory-Level Sensitivity Control

Urban-scale video analytics systems hold significant promise for traffic monitoring, pedestrian flow estimation and public safety. However, the acquisition and processing of spatio-temporal data extracted from traffic videos pose significant challenges to individual privacy. Existing approaches often rely on trusted tr...

UNAS: Urgency- and Fairness-Aware Scheduling for SLO-Oriented LLM Serving

The widespread adoption and strong generalizability of large language models (LLMs) lead to highly heterogeneous workloads that exhibit substantial variability in request lengths and latency requirements. This pronounced heterogeneity causes existing scheduling strategies to suffer from head-of-line blocking and ineffi...

OSGS: A Framework for Online Scheduling of Satellite-Ground Collaborative Inference With Space Edge Computing