Peican Zhu

Orcid: 0000-0002-8389-1093

According to our database1, Peican Zhu authored at least 53 papers between 2014 and 2024.

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Bibliography

2024
Efficient approaches for attaining epidemic-free networks with minimum edge removal set.
Commun. Nonlinear Sci. Numer. Simul., March, 2024

A novel privacy-preserving graph convolutional network via secure matrix multiplication.
Inf. Sci., February, 2024

MixCam-attack: Boosting the transferability of adversarial examples with targeted data augmentation.
Inf. Sci., February, 2024

Diffusion Containment in Complex Networks Through Collective Influence of Connections.
IEEE Trans. Inf. Forensics Secur., 2024

GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion.
CoRR, 2024

GAMC: An Unsupervised Method for Fake News Detection Using Graph Autoencoder with Masking.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Integrating information by Kullback-Leibler constraint for text classification.
Neural Comput. Appl., August, 2023

BotFinder: a novel framework for social bots detection in online social networks based on graph embedding and community detection.
World Wide Web (WWW), July, 2023

ADS-detector: An attention-based dual stream adversarial example detection method.
Knowl. Based Syst., April, 2023

Unsupervised feature selection through combining graph learning and ℓ2,0-norm constraint.
Inf. Sci., April, 2023

Multimodal fake news detection through data augmentation-based contrastive learning.
Appl. Soft Comput., March, 2023

A Deceptive Reviews Detection Method Based on Multidimensional Feature Construction and Ensemble Feature Selection.
IEEE Trans. Comput. Soc. Syst., February, 2023

Fast Optimization of Spectral Embedding and Improved Spectral Rotation.
IEEE Trans. Knowl. Data Eng., 2023

Rethinking Perturbation Directions for Imperceptible Adversarial Attacks on Point Clouds.
IEEE Internet Things J., 2023

Advancing Adversarial Robustness Through Adversarial Logit Update.
CoRR, 2023

Influence maximization through exploring structural information.
Appl. Math. Comput., 2023

Are Deep Point Cloud Classifiers Suffer From Out-of-distribution Overconfidence Issue?
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Enhancing Adversarial Robustness via Anomaly-aware Adversarial Training.
Proceedings of the Knowledge Science, Engineering and Management, 2023

DBA: An Efficient Approach to Boost Transfer-Based Adversarial Attack Performance Through Information Deletion.
Proceedings of the Knowledge Science, Engineering and Management, 2023

Matching Words for Out-of-distribution Detection.
Proceedings of the IEEE International Conference on Data Mining, 2023

HEPT Attack: Heuristic Perpendicular Trial for Hard-label Attacks under Limited Query Budgets.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Locating Multi-Sources in Social Networks With a Low Infection Rate.
IEEE Trans. Netw. Sci. Eng., 2022

The Polarization of the Coupling Strength of Interdependent Networks Stimulates Cooperation.
Entropy, 2022

Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning.
CoRR, 2022

A review and performance evaluation of clustering frameworks for single-cell Hi-C data.
Briefings Bioinform., 2022

Ability-based asymmetrical fitness calculation promotes cooperation in spatial prisoner's dilemma game.
Appl. Math. Comput., 2022

Soter: Deep Learning Enhanced In-Network Attack Detection Based on Programmable Switches.
Proceedings of the 41st International Symposium on Reliable Distributed Systems, 2022

GM-Attack: Improving the Transferability of Adversarial Attacks.
Proceedings of the Knowledge Science, Engineering and Management, 2022

IoTEnsemble: Detection of Botnet Attacks on Internet of Things.
Proceedings of the Computer Security - ESORICS 2022, 2022

2021
A Semi-supervised Multi-objective Evolutionary Algorithm for Multi-layer Network Community Detection.
Proceedings of the Knowledge Science, Engineering and Management, 2021

Medication Combination Prediction via Attention Neural Networks with Prior Medical Knowledge.
Proceedings of the Knowledge Science, Engineering and Management, 2021

2020
Investigating the co-evolution of node reputation and edge-strategy in prisoner's dilemma game.
Appl. Math. Comput., 2020

Properties and structural analyses of USA's regional electricity market: A visibility graph network approach.
Appl. Math. Comput., 2020

2019
Stochastic Analysis and Optimal Design of Majority Systems.
IEEE Trans. Circuits Syst. II Express Briefs, 2019

Analysis of Epidemic Spreading Process in Adaptive Networks.
IEEE Trans. Circuits Syst. II Express Briefs, 2019

Stability Analysis for Memristor-Based Complex-Valued Neural Networks with Time Delays.
Entropy, 2019

Investigation of epidemic spreading process on multiplex networks by incorporating fatal properties.
Appl. Math. Comput., 2019

Coevolution of Vaccination Opinions and Awareness Affecting the Spread of Epidemics.
IEEE Access, 2019

2018
Optimal Design of Redundant Structures by Incorporating Various Costs.
IEEE Trans. Reliab., 2018

Stochastic Analysis of Multiplex Boolean Networks for Understanding Epidemic Propagation.
IEEE Access, 2018

2017
Approximate reliability of multi-state two-terminal networks by stochastic analysis.
IET Networks, 2017

A Stochastic Computational Approach for the Analysis of Fuzzy Systems.
IEEE Access, 2017

Optimal Design of the k-Out-of-n: G (F) Majority Voter.
IEEE Access, 2017

2016
Reliability Evaluation of Phased-Mission Systems Using Stochastic Computation.
IEEE Trans. Reliab., 2016

Reliability and Criticality Analysis of Communication Networks by Stochastic Computation.
IEEE Netw., 2016

Automatic Construction and Global Optimization of a Multisentiment Lexicon.
Comput. Intell. Neurosci., 2016

2015
A Stochastic Approach for the Analysis of Dynamic Fault Trees With Spare Gates Under Probabilistic Common Cause Failures.
IEEE Trans. Reliab., 2015

2014
A Stochastic Approach for the Analysis of Fault Trees With Priority AND Gates.
IEEE Trans. Reliab., 2014

A Stochastic Computational Approach for Accurate and Efficient Reliability Evaluation.
IEEE Trans. Computers, 2014

Stochastic Multiple-Valued Gene Networks.
IEEE Trans. Biomed. Circuits Syst., 2014

Asynchronous Stochastic Boolean Networks as Gene Network Models.
J. Comput. Biol., 2014

Gene perturbation and intervention in context-sensitive stochastic Boolean networks.
BMC Syst. Biol., 2014


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