Zhixia Zeng

Orcid: 0000-0002-7339-9417

According to our database1, Zhixia Zeng authored at least 16 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Toward robust anomaly detection in noisy time series via diffusion-driven denoising and disentanglement.
J. Supercomput., March, 2026

FDEPCA: A Novel Adaptive Nonlinear Feature Extraction Method via Fruit Fly Olfactory Neural Network for IoMT Anomaly Detection.
IEEE J. Biomed. Health Informatics, January, 2026

Diffusion-step attention consistency for multivariate time series anomaly detection.
Knowl. Based Syst., 2026

MSTDF-AD: Modeling spatiotemporal dependency fusion for non-stationary time series anomaly detection.
Inf. Process. Manag., 2026

CSCAD: Modeling cross-scale sequence correlations for multivariate time series anomaly detection.
Inf. Process. Manag., 2026

Deep multi-view clustering based on fine-grained dynamic fusion learning.
Neurocomputing, 2026

Unsupervised anomaly detection in energy storage systems using Dual-View latent variable modeling.
Eng. Appl. Artif. Intell., 2026

2025
Fine-grained multivariate time series anomaly detection via causal inference.
Knowl. Based Syst., 2025

Semi-supervised anomaly detection via reinforcement learning-enabled method with causal inference.
Inf. Sci., 2025

2024
Graph Autoencoder Anomaly Detection for E-Commerce Application by Contextual Integrating Contrast With Reconstruction and Complementarity.
IEEE Trans. Consumer Electron., February, 2024

RelTrans: An Enhancing Offline Reinforcement Learning Model for the Complex Hand Gesture Decision-Making Task.
IEEE Trans. Consumer Electron., February, 2024

Semi-supervised Anomaly Detection via Adaptive Reinforcement Learning-Enabled Method with Causal Inference for Sensor Signals.
CoRR, 2024

2023
Double locality sensitive hashing Bloom filter for high-dimensional streaming anomaly detection.
Inf. Process. Manag., May, 2023

ITran: A novel transformer-based approach for industrial anomaly detection and localization.
Eng. Appl. Artif. Intell., 2023

Anomaly detection for high-dimensional dynamic data stream using stacked habituation autoencoder and union kernel density estimator.
Concurr. Comput. Pract. Exp., 2023

ADCapsNet: An Efficient and Robust Capsule Network Model for Anomaly Detection.
Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning, 2023


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