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20222026
most citedA Two-Stage Data Selection Framework for Data-Efficient Model Training on Edge Devices

2 citations · 3 across the 5 of their papers we have counts for

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cs.LG2025★ 1 cited

Optimizing Storage Overhead of User Behavior Log for ML-embedded Mobile Apps

Chen Gong, Yan Zhuang, Zhenzhe Zheng +4

Machine learning (ML) models are increasingly integrated into modern mobile apps to enable personalized and intelligent services. These models typically rely on rich input features…

cs.LG2025★ 2 cited

A Two-Stage Data Selection Framework for Data-Efficient Model Training on Edge Devices

Chen Gong, Rui Xing, Zhenzhe Zheng +1

The demand for machine learning (ML) model training on edge devices is escalating due to data privacy and personalized service needs. However, we observe that current on-device mod…