10 citations · 10 across the 2 of their papers we have counts for
3 papers
cs.OS2026
AppFlow: Memory Scheduling for Cold Launch of Large Apps on Mobile and Vehicle Systems
Xiaochen Li, Sicong Liu, Bin Guo +4
GB-scale large apps like on-device LLMs and rich media editors are becoming the next-generation trend, but their heavy memory and I/O demands, especially during multitasking, cause…
cs.LG2025
CrowdHMTware: A Cross-level Co-adaptation Middleware for Context-aware Mobile DL Deployment
Sicong Liu, Bin Guo, Shiyan Luo +7
There are many deep learning (DL) powered mobile and wearable applications today continuously and unobtrusively sensing the ambient surroundings to enhance all aspects of human liv…
cs.DC2024★ 10 cited
EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control
Xiaochen Li, Sicong Liu, Zimu Zhou +3
The rise of mobile devices with abundant sensory data and local computing capabilities has driven the trend of federated learning (FL) on these devices. And personalized FL (PFL) e…