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Ruidong Wang 0001
Person information
- affiliation: Zhejiang Normal University, School of Computer Science and Technology, Jinhua, China
- affiliation (PhD 2024): Harbin University of Science and Technology, School of Computer Science and Technology, Harbin, China
Other persons with the same name
- Ruidong Wang — disambiguation page
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2020 – today
- 2025
[j14]Liang Xi
, Runze Li, Menghan Li
, Dehua Miao
, Ruidong Wang
, Zygmunt J. Haas
:
NMFAD: Neighbor-Aware Mask-Filling Attributed Network Anomaly Detection. IEEE Trans. Inf. Forensics Secur. 20: 364-374 (2025)
[j13]Ruidong Wang
, Liang Xi
, Fengbin Zhang
, Haoyi Fan
, Xu Yu
, Lei Liu
, Shui Yu
, Victor C. M. Leung
:
Context Correlation Discrepancy Analysis for Graph Anomaly Detection. IEEE Trans. Knowl. Data Eng. 37(1): 174-187 (2025)
[j12]Ruidong Wang
, Liang Xi
, Jinlin Ye
, Fengbin Zhang
, Xu Yu
, Lingwei Xu
:
Adaptive Spatio-Temporal Relation Based Transformer for Traffic Flow Prediction. IEEE Trans. Veh. Technol. 74(2): 2220-2230 (2025)- 2024
[j11]Haoyi Fan
, Ruidong Wang, Xunhua Huang, Fengbin Zhang, Zuoyong Li, Shimei Su:
Deep joint adversarial learning for anomaly detection on attribute networks. Inf. Sci. 654: 119840 (2024)
[j10]Han Liu
, Fengbin Zhang, Xunhua Huang, Ruidong Wang, Liang Xi
:
Bidirectional consistency with temporal-aware for semi-supervised time series classification. Neural Networks 180: 106709 (2024)
[j9]Chongrui Tian, Fengbin Zhang, Ruidong Wang:
Adversarial regularized attributed network embedding for graph anomaly detection. Pattern Recognit. Lett. 183: 111-116 (2024)
[j8]Liang Xi
, Dehua Miao
, Menghan Li
, Ruidong Wang
, Han Liu
, Xunhua Huang
:
Adaptive-Correlation-Aware Unsupervised Deep Learning for Anomaly Detection in Cyber-Physical Systems. IEEE Trans. Dependable Secur. Comput. 21(4): 2888-2899 (2024)
[j7]Ruidong Wang
, Fengbin Zhang
, Xunhua Huang
, Chongrui Tian, Liang Xi
, Haoyi Fan
:
CaCo: Attributed Network Anomaly Detection via Canonical Correlation Analysis. IEEE Trans. Ind. Informatics 20(1): 461-470 (2024)- 2023
[j6]Xunhua Huang
, Fengbin Zhang
, Ruidong Wang
, Xiaohui Lin
, Han Liu
, Haoyi Fan
:
KalmanAE: Deep Embedding Optimized Kalman Filter for Time Series Anomaly Detection. IEEE Trans. Instrum. Meas. 72: 1-11 (2023)- 2022
[j5]Liang Xi
, Zichao Yun, Han Liu, Ruidong Wang, Xunhua Huang, Haoyi Fan:
Semi-supervised Time Series Classification Model with Self-supervised Learning. Eng. Appl. Artif. Intell. 116: 105331 (2022)
[j4]Fengbin Zhang
, Haoyi Fan
, Ruidong Wang
, Zuoyong Li
, Tiancai Liang
:
Deep Dual Support Vector Data description for anomaly detection on attributed networks. Int. J. Intell. Syst. 37(2): 1509-1528 (2022)
[j3]Liang Xi
, Ruidong Wang, Zygmunt J. Haas
:
Data-Correlation-Aware Unsupervised Deep-Learning Model for Anomaly Detection in Cyber-Physical Systems. IEEE Internet Things J. 9(22): 22410-22421 (2022)- 2021
[j2]Liang Xi
, Ruidong Wang, Zhi-Yu Yao, Fengbin Zhang:
Multisource Neighborhood Immune Detector Adaptive Model for Anomaly Detection. IEEE Trans. Evol. Comput. 25(3): 582-594 (2021)
[c2]Haoyi Fan, Fengbin Zhang, Ruidong Wang, Xunhua Huang, Zuoyong Li:
Semi-Supervised Time Series Classification by Temporal Relation Prediction. ICASSP 2021: 3545-3549
[i2]Fengbin Zhang, Haoyi Fan, Ruidong Wang, Zuoyong Li, Tiancai Liang:
Deep Dual Support Vector Data Description for Anomaly Detection on Attributed Networks. CoRR abs/2109.00138 (2021)- 2020
[j1]Liang Xi, Ruidong Wang, Fengbin Zhang, Yuezhongyi Sun:
CC-CSA: A culture&chaos-inspired clonal selection algorithm for abnormal detection. J. Intell. Fuzzy Syst. 39(1): 1289-1301 (2020)
[c1]Haoyi Fan, Fengbin Zhang, Ruidong Wang, Liang Xi, Zuoyong Li:
Correlation-Aware Deep Generative Model for Unsupervised Anomaly Detection. PAKDD (2) 2020: 688-700
[i1]Haoyi Fan, Fengbin Zhang, Ruidong Wang, Liang Xi, Zuoyong Li:
Correlation-aware Deep Generative Model for Unsupervised Anomaly Detection. CoRR abs/2002.07349 (2020)
Coauthor Index

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