Jin Fan

Orcid: 0000-0002-6681-9209

Affiliations:

Hangzhou Dianzi University, Hangzhou, China

According to our database¹, Jin Fan authored at least 39 papers between 2015 and 2026.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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PhD thesis

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Other

Bibliography

2026

A responsive approach to multivariate time-series anomaly detection with K-distance based calibrated reconstruction.

[BibT_eX]

[DOI]

Neurocomputing, 2026

2025

Dynamic Modeling and Analysis of Bi-Directional Traffic Flows Through a Deep Spatio-Temporal Graph Neural Network.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, December, 2025

Towards Practical Alzheimer's Disease Diagnosis: A Lightweight and Interpretable Spiking Neural Model.

[BibT_eX]

[DOI]

CoRR, June, 2025

Extendable Multi-Device Collaborative Pipeline Parallel Inference in the Edge-Cloud Scenario.

[BibT_eX]

[DOI]

IEEE Trans. Consumer Electron., May, 2025

GCINet: global convolution interaction network with a pre-trained reversible normalization method for long-term time series forecasting.

[BibT_eX]

[DOI]

Neural Comput. Appl., February, 2025

SCKansformer: Fine-Grained Classification of Bone Marrow Cells via Kansformer Backbone and Hierarchical Attention Mechanisms.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, January, 2025

Enhancing GCN Robustness Against Structural Attacks via Adaptive Spectrum Filtering.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2025

Path-aware multi-scale learning for heterogeneous graph neural network.

[BibT_eX]

[DOI]

Neural Networks, 2025

PDG2Seq: Periodic Dynamic Graph to Sequence Model for Traffic Flow Prediction.

[BibT_eX]

[DOI]

Neural Networks, 2025

SSIM over MSE: A new perspective for video anomaly detection.

[BibT_eX]

[DOI]

Neural Networks, 2025

An enhanced residual learning framework for Graph Neural Networks based on Dual Random Walk.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2025

A distribution feature extracting network with dual correlation for long sequence time-series forecasting.

[BibT_eX]

[DOI]

Neurocomputing, 2025

A Cloud-Based High-Quality Code Intelligent Matching Tool for Industrial Control Programs.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Representing Multiview Time-Series Graph Structures for Multivariate Long-Term Time-Series Forecasting.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., June, 2024

Sepformer-Based Models: More Efficient Models for Long Sequence Time-Series Forecasting.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput., 2024

An unsupervised video anomaly detection method via Optical Flow decomposition and Spatio-Temporal feature learning.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2024

RGDAN: A random graph diffusion attention network for traffic prediction.

[BibT_eX]

[DOI]

Neural Networks, 2024

Learning the feature distribution similarities for online time series anomaly detection.

[BibT_eX]

[DOI]

Neural Networks, 2024

Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning Approach.

[BibT_eX]

[DOI]

CoRR, 2024

GFE-Mamba: Mamba-based AD Multi-modal Progression Assessment via Generative Feature Extraction from MCI.

[BibT_eX]

[DOI]

CoRR, 2024

2023

An Adversarial Time-Frequency Reconstruction Network for Unsupervised Anomaly Detection.

[BibT_eX]

[DOI]

Neural Networks, November, 2023

LUAD: A lightweight unsupervised anomaly detection scheme for multivariate time series data.

[BibT_eX]

[DOI]

Neurocomputing, November, 2023

A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting.

[BibT_eX]

[DOI]

Pattern Recognit., October, 2023

Parallel spatio-temporal attention-based TCN for multivariate time series prediction.

[BibT_eX]

[DOI]

Neural Comput. Appl., June, 2023

A robust feature reinforcement framework for heterogeneous graphs neural networks.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., April, 2023

OOA-UADS: Offline, Online, Analysis-an Unsupervised Anomaly Detection Solution for Multivariate Time Series.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

Segformer: Segment-Based Transformer with Decomposition for Long-Term Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

AUBRec: adaptive augmented self-attention via user behaviors for sequential recommendation.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2022

CEKD: Cross ensemble knowledge distillation for augmented fine-grained data.

[BibT_eX]

[DOI]

Appl. Intell., 2022

2021

DWNet: Dual-Window Deep Neural Network for Time Series Prediction.

[BibT_eX]

[DOI]

Complex., 2021

2020

SBNN: Slimming binarized neural network.

[BibT_eX]

[DOI]

Neurocomputing, 2020

AEDmts: An Attention-Based Encoder-Decoder Framework for Multi-Sensory Time Series Analytic.

[BibT_eX]

[DOI]

IEEE Access, 2020

Multi-Order Feature Statistical Model for Fine-Grained Visual Categorization.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Improved Coupled Tensor Factorization with Its Applications in Health Data Analysis.

[BibT_eX]

[DOI]

Complex., 2019

A Destination Prediction Network Based on Spatiotemporal Data for Bike-Sharing.

[BibT_eX]

[DOI]

Complex., 2019

A Feature Selection Method Based on Hybrid Improved Binary Quantum Particle Swarm Optimization.

[BibT_eX]

[DOI]

IEEE Access, 2019

2018

CTF-PSF: Coupled Tensor Factorization with Partially Shared Factors.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2015

A Hybrid Localization Approach in 3D Wireless Sensor Network.

[BibT_eX]

[DOI]

Int. J. Distributed Sens. Networks, 2015

Jin Fan

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