activity
20192023
most citedGraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks

358 citations · 467 across the 25 of their papers we have counts for

collaborators

27 papers

cs.CV2022

Learning to See Through with Events

Lei Yu, Xiang Zhang, Wei Liao +2

Although synthetic aperture imaging (SAI) can achieve the seeing-through effect by blurring out off-focus foreground occlusions while recovering in-focus occluded scenes from multi…

cs.LG2022

Personalized Federated Learning via Heterogeneous Modular Networks

Tianchun Wang, Wei Cheng, Dongsheng Luo +5

Personalized Federated Learning (PFL) which collaboratively trains a federated model while considering local clients under privacy constraints has attracted much attention. Despite…

math.DS2022

On codimension one partially hyperbolic diffeomorphisms

Xiang Zhang

We show that every codimension one partially hyperbolic diffeomorphism must support on . It is locally uniquely integrable and derived from a linear codimension one…

cs.LG2022

HP-GMN: Graph Memory Networks for Heterophilous Graphs

Junjie Xu, Enyan Dai, Xiang Zhang +1

Graph neural networks (GNNs) have achieved great success in various graph problems. However, most GNNs are Message Passing Neural Networks (MPNNs) based on the homophily assumption…

cs.CV20223 cited

Unifying Motion Deblurring and Frame Interpolation with Events

Xiang Zhang, Lei Yu

Slow shutter speed and long exposure time of frame-based cameras often cause visual blur and loss of inter-frame information, degenerating the overall quality of captured videos. T…

cs.CV2022

On the Equity of Nuclear Norm Maximization in Unsupervised Domain Adaptation

Wenju Zhang, Xiang Zhang, Qing Liao +5

Nuclear norm maximization has shown the power to enhance the transferability of unsupervised domain adaptation model (UDA) in an empirical scheme. In this paper, we identify a new…