Ruidong Wang

Orcid: 0000-0001-5178-2960

Affiliations:
  • Zhejiang Normal University, School of Computer Science and Technology, Jinhua, China
  • Harbin University of Science and Technology, School of Computer Science and Technology, Harbin, China (PhD 2024)


According to our database1, Ruidong Wang authored at least 21 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
DuDi: Dual-Scope Discrepancy-Aware Attributed Network Anomaly Detection.
IEEE Trans. Signal Inf. Process. over Networks, 2026

Structure adversarial augmented graph anomaly detection via multi-view contrastive learning.
Knowl. Based Syst., 2026

2025
FedRDA: Representation Deviation Alignment in Heterogeneous Federated Learning.
IEEE Trans. Ind. Informatics, November, 2025

Efficient Reasoning via Chain of Unconscious Thought.
CoRR, May, 2025

Adaptive Spatio-Temporal Relation Based Transformer for Traffic Flow Prediction.
IEEE Trans. Veh. Technol., February, 2025

Context Correlation Discrepancy Analysis for Graph Anomaly Detection.
IEEE Trans. Knowl. Data Eng., January, 2025

NMFAD: Neighbor-Aware Mask-Filling Attributed Network Anomaly Detection.
IEEE Trans. Inf. Forensics Secur., 2025

SERA: Semantic Entity Recognition and Alignment for Threat Intelligence Representation.
Proceedings of the 24th IEEE International Conference on Trust, 2025

2024
CaCo: Attributed Network Anomaly Detection via Canonical Correlation Analysis.
IEEE Trans. Ind. Informatics, January, 2024

Deep joint adversarial learning for anomaly detection on attribute networks.
Inf. Sci., January, 2024

Adaptive-Correlation-Aware Unsupervised Deep Learning for Anomaly Detection in Cyber-Physical Systems.
IEEE Trans. Dependable Secur. Comput., 2024

Adversarial regularized attributed network embedding for graph anomaly detection.
Pattern Recognit. Lett., 2024

Bidirectional consistency with temporal-aware for semi-supervised time series classification.
Neural Networks, 2024

2023
KalmanAE: Deep Embedding Optimized Kalman Filter for Time Series Anomaly Detection.
IEEE Trans. Instrum. Meas., 2023

2022
Data-Correlation-Aware Unsupervised Deep-Learning Model for Anomaly Detection in Cyber-Physical Systems.
IEEE Internet Things J., 2022

Deep Dual Support Vector Data description for anomaly detection on attributed networks.
Int. J. Intell. Syst., 2022

Semi-supervised Time Series Classification Model with Self-supervised Learning.
Eng. Appl. Artif. Intell., 2022

2021
Multisource Neighborhood Immune Detector Adaptive Model for Anomaly Detection.
IEEE Trans. Evol. Comput., 2021

Semi-Supervised Time Series Classification by Temporal Relation Prediction.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
CC-CSA: A culture&chaos-inspired clonal selection algorithm for abnormal detection.
J. Intell. Fuzzy Syst., 2020

Correlation-Aware Deep Generative Model for Unsupervised Anomaly Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020


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