1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2025★ 1 cited
Reliable Imputed-Sample Assisted Vertical Federated Learning
Yaopei Zeng, Lei Liu, Shaoguo Liu +3
Vertical Federated Learning (VFL) is a well-known FL variant that enables multiple parties to collaboratively train a model without sharing their raw data. Existing VFL approaches…
cs.CV2020
Semi-Supervised Active Learning for COVID-19 Lung Ultrasound Multi-symptom Classification
Lei Liu, Wentao Lei, Yongfang Luo +3
Ultrasound (US) is a non-invasive yet effective medical diagnostic imaging technique for the COVID-19 global pandemic. However, due to complex feature behaviors and expensive annot…
cs.CV2020
Person Re-Identification via Active Hard Sample Mining
Xin Xu, Lei Liu, Weifeng Liu +2
Annotating a large-scale image dataset is very tedious, yet necessary for training person re-identification models. To alleviate such a problem, we present an active hard sample mi…