activity
20232025
most citedResolve Domain Conflicts for Generalizable Remote Physiological Measurement

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.LG2025

SoilX: Calibration-Free Comprehensive Soil Sensing through Contrastive Cross-Component Learning

Kang Yang, Yuanlin Yang, Yuning Chen +3

Precision agriculture demands continuous and accurate monitoring of soil moisture (M) and key macronutrients, including nitrogen (N), phosphorus (P), and potassium (K), to optimize…

cs.CR2024

Backdoor Contrastive Learning via Bi-level Trigger Optimization

Weiyu Sun, Xinyu Zhang, Hao Lu +4

Contrastive Learning (CL) has attracted enormous attention due to its remarkable capability in unsupervised representation learning. However, recent works have revealed the vulnera…

cs.CV20241 cited

Resolve Domain Conflicts for Generalizable Remote Physiological Measurement

Weiyu Sun, Xinyu Zhang, Hao Lu +5

Remote photoplethysmography (rPPG) technology has become increasingly popular due to its non-invasive monitoring of various physiological indicators, making it widely applicable in…

cs.CV2023

Self-similarity Prior Distillation for Unsupervised Remote Physiological Measurement

Xinyu Zhang, Weiyu Sun, Hao Lu +5

Remote photoplethysmography (rPPG) is a noninvasive technique that aims to capture subtle variations in facial pixels caused by changes in blood volume resulting from cardiac activ…

cs.LG2023

Tackling the Non-IID Issue in Heterogeneous Federated Learning by Gradient Harmonization

Xinyu Zhang, Weiyu Sun, Ying Chen

Federated learning (FL) is a privacy-preserving paradigm for collaboratively training a global model from decentralized clients. However, the performance of FL is hindered by non-i…