Xingping Xian

Chongqing University of Posts and Telecommunications — China

Computer Science · Physical Sciences

11h-index391citations48works1.82yr avg
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Research Topics

Advanced Graph Neural Networks(14), Complex Network Analysis Techniques(13), Adversarial Robustness in Machine Learning(8), Opinion Dynamics and Social Influence(6), Anomaly Detection Techniques and Applications(5)

Publications48 total

Multi-Font Chinese Character Recognition with a Hierarchical Structure-Aware Graph Neural Network
2025
MHGCL: A multi-modal hypergraph contrastive learning framework for molecular property prediction
Applied Soft Computing·2025
Understanding the robustness of graph neural networks against adversarial attacks
Knowledge-Based Systems·2025· 7 cited
Self-Representation-Based Generative Graph Neural Networks for End-to-End Link Prediction
IEEE Transactions on Big Data·2025
Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks
arXiv (Cornell University)·2025Open Access
Low-Resource Chinese Named Entity Recognition via CNN-based Multitask Learning
Journal of Data Science and Intelligent Systems·2024Open Access
Understanding the Robustness of Graph Neural Networks against Adversarial Attacks
arXiv (Cornell University)·2024Open Access
GraphMU: Repairing Robustness of Graph Neural Networks via Machine Unlearning
arXiv (Cornell University)·2024Open Access
Multiview-Ensemble-Learning-Based Robust Graph Convolutional Networks Against Adversarial Attacks
IEEE Internet of Things Journal·2024· 11 cited
An Architecture to Support Learning-based Adaptation of Persistent Queries in Mobile Environments
Technische Universität Berlin – Universitätsbibliothek·2024Open Access
Towards deep understanding of graph convolutional networks for relation extraction
Data & Knowledge Engineering·2023· 16 cited
Rethinking the Robustness of Graph Neural Networks
Communications in computer and information science·2023
Generative Graph Neural Networks for Link Prediction
arXiv (Cornell University)·2022· 5 citedOpen Access
ERGCN: Data enhancement-based robust graph convolutional network against adversarial attacks
Information Sciences·2022· 25 cited
Bcnn-Cws: Bidirectional Id-Cnn-Based Joint Model for Low-Resource Chinese Ner
SSRN Electronic Journal·2022Open Access
Ergcn: Data Enhancement Based Robust Graph Convolutional Network for Node Classification
SSRN Electronic Journal·2022Open Access
A Brief Survey on Privacy-Preserving Methods for Graph-Structured Data
Lecture notes in electrical engineering·2022
Multi-View Ensemble Learning for Robust Graph Convolutional Networks
SSRN Electronic Journal·2022Open Access
Small perturbations are enough: Adversarial attacks on time series prediction
Information Sciences·2021· 55 cited
Adversarial Attacks on Deep Neural Networks for Time Series Prediction
2021· 5 cited
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Frequent Co-authors

Shaojie Qiao(23), Tao Wu(22), Yanbing Liu(10), Chao Wang(7), Canyixing Cui(7), Tao Wu(6), Wei Wang(5), Leiting Chen(4), Tao Wu(4), Yongqing Zhang(3), Nan Han(3), Guangxia Xu(3), Linfeng Zhong(3), Lin Yuan(3), Anita Raja(3), Guannan Ming(3), Jamie Payton(3), Xuechun Wang(2), Jiliu Zhou(2), Nan Yang(2)