activity
20182022
most citedG-Mixup: Graph Data Augmentation for Graph Classification

44 citations · 58 across the 3 of their papers we have counts for

collaborators

8 papers

cs.LG202244 cited

G-Mixup: Graph Data Augmentation for Graph Classification

Xiaotian Han, Zhimeng Jiang, Ninghao Liu +1

This work develops \emph{mixup for graph data}. Mixup has shown superiority in improving the generalization and robustness of neural networks by interpolating features and labels b…

cs.LG2022

Geometric Graph Representation Learning via Maximizing Rate Reduction

Xiaotian Han, Zhimeng Jiang, Ninghao Liu +3

Learning discriminative node representations benefits various downstream tasks in graph analysis such as community detection and node classification. Existing graph representation…

cs.LG202214 cited

FMP: Toward Fair Graph Message Passing against Topology Bias

Zhimeng Jiang, Xiaotian Han, Chao Fan +4

Despite recent advances in achieving fair representations and predictions through regularization, adversarial debiasing, and contrastive learning in graph neural networks (GNNs), t…

cs.NI2019

A Double-station Access Protocol for Optical Wireless Scattering Communication Networks

Guanchu Wang, Chen Gong, Zhimeng Jiang +1

We propose a double-station access protocol (DS-CSMA) with multiple backoff mechanism for optical wireless scattering communication networks (OWSCN). %, where two stations can tran…

cs.IT2018

Clipping noise approximate analysis and power allocation for photon-detection-based DCO-OFDM and ACO-OFDM

Zhimeng Jiang, Chen Gong, Zhengyuan Xu

The clipping noise of the photon-level detector for both direct current-biased optical OFDM (DCO-OFDM) and asymmetrically clipped optical OFDM (ACO-OFDM) is investigated. Based on…

eess.SP2018

Asynchronous Multiple Access in Optical Wireless Scattering Communication: Achievable Transmission Rates and Receiver Design

Guanchu Wang, Chen Gong, Zhimeng Jiang +1

We investigate the asynchronous multiple user access communication in optical wireless scattering communication, where different users transmit signals without perfect alignment in…