output
20162026
most citedDomain-adaptive Message Passing Graph Neural Network

30 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

5 papers

physics.optics2026★ 4 cited

Wide-field mid-infrared cavity-enhanced upconversion imaging

Yue Song, Jianan Fang, Wen Zhang +5

Mid-infrared (MIR) spectral imaging enables precise target identification and analysis by capturing rich chemical fingerprints, which calls for high-sensitivity broadband MIR image…

cs.LG2024★ 4 cited

Toward Fair Graph Neural Networks Via Dual-Teacher Knowledge Distillation

Chengyu Li, Debo Cheng, Guixian Zhang +2

Graph Neural Networks (GNNs) have demonstrated strong performance in graph representation learning across various real-world applications. However, they often produce biased predic…

cs.LG2024★ 1 cited

Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent

Mohit Kumar, Alexander Valentinitsch, Magdalena Fuchs +5

This paper develops a novel mathematical framework for collaborative learning by means of geometrically inspired kernel machines which includes statements on the bounds of generali…

cs.LG2023★ 30 cited

Domain-adaptive Message Passing Graph Neural Network

Xiao Shen, Shirui Pan, Kup-Sze Choi +1

Cross-network node classification (CNNC), which aims to classify nodes in a label-deficient target network by transferring the knowledge from a source network with abundant labels,…

cs.SE2016

Automatic Generation of High-Coverage Tests for RTL Designs using Software Techniques and Tools

Yu Zhang, Wenlong Feng, Mengxing Huang

Register Transfer Level (RTL) design validation is a crucial stage in the hardware design process. We present a new approach to enhancing RTL design validation using available soft…