Jian Zhang

Orcid: 0000-0001-6520-9006

Affiliations:
  • Hangzhou Dianzi University, School of Cyberspace, China
  • Zhejiang University of Technology, College of Information Engineering, Hangzhou, China


According to our database1, Jian Zhang authored at least 23 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Legend:

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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Multipattern Integrated Networks With Contrastive Pretraining for Graph Anomaly Detection.
IEEE Trans. Comput. Soc. Syst., October, 2024

Single-Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning.
IEEE Trans. Comput. Soc. Syst., October, 2024

Robust explanations for graph neural network with neuron explanation component.
Inf. Sci., January, 2024

Dyn-Backdoor: Backdoor Attack on Dynamic Link Prediction.
IEEE Trans. Netw. Sci. Eng., 2024

An Empirical Evaluation of the Data Leakage in Federated Graph Learning.
IEEE Trans. Netw. Sci. Eng., 2024

Enhanced enterprise-student matching with meta-path based graph neural network.
J. King Saud Univ. Comput. Inf. Sci., 2024

RCTD: Reputation-Constrained Truth Discovery in Sybil Attack Crowdsourcing Environment.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
An approach to internal threats detection based on sentiment analysis and network analysis.
J. Inf. Secur. Appl., September, 2023

EGC<sup>2</sup>: Enhanced graph classification with easy graph compression.
Inf. Sci., June, 2023

Time-Aware Gradient Attack on Dynamic Network Link Prediction.
IEEE Trans. Knowl. Data Eng., 2023

Single Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning.
CoRR, 2023

Cross-domain recommendation via user interest alignment.
Proceedings of the ACM Web Conference 2023, 2023

2022
A Comorbidity Knowledge-Aware Model for Disease Prognostic Prediction.
IEEE Trans. Cybern., 2022

Time-Series Snapshot Network for Partner Recommendation: A Case Study on OSS.
IEEE Trans. Comput. Soc. Syst., 2022

Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021
E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Dyn-Backdoor: Backdoor Attack on Dynamic Link Prediction.
CoRR, 2021

Temporal-Amount Snapshot MultiGraph for Ethereum Transaction Tracking.
Proceedings of the Blockchain and Trustworthy Systems - Third International Conference, 2021

2020
Time-Series Snapshot Network as A New Model for Role Recommendation in OSS.
CoRR, 2020

Hyper-Substructure Enhanced Link Predictor.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction.
CoRR, 2019

Explainable Learning for Disease Risk Prediction Based on Comorbidity Networks.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

2018
Automatic Pearl Classification Machine Based on a Multistream Convolutional Neural Network.
IEEE Trans. Ind. Electron., 2018


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