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ORCIDJin Fan 0003
Person information
- affiliation: Hangzhou Dianzi University, Hangzhou, China
Other persons with the same name
- Jin Fan — disambiguation page
- Jin Fan 0001
![[0000-0001-9630-8330]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-9630-8330")
— Queens College, Flushing, Queens, NY, USA - Jin Fan 0002 — National Astronomical Observatories of China, Beijing, China
- Jin Fan 0004 — Chang'an University, Xi'an, China
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2020 – today
- 2026
[j30]Jin Fan, Yanhao Bi, Jin'an Yao, Liangkang Huang, Huifeng Wu, Jia Wu:
A responsive approach to multivariate time-series anomaly detection with K-distance based calibrated reconstruction. Neurocomputing 659: 131689 (2026)- 2025
- [j29]Jin Fan, Zehao Wang, Feiwei Qin, Huifeng Wu, Danfeng Sun, Jia Wu:
A distribution feature extracting network with dual correlation for long sequence time-series forecasting. Neurocomputing 649: 130806 (2025) - [j28]Jin Fan, Zhangyu Gu, Jiajun Yang, Huifeng Wu, Danfeng Sun, Jia Wu:
An enhanced residual learning framework for Graph Neural Networks based on Dual Random Walk. Knowl. Based Syst. 324: 113822 (2025) - [j27]Jin Fan, Baoshun Yang, Danfeng Sun, Jie Liu, Qikai Chen, Zhipeng Wang, Jia Wu:
GCINet: global convolution interaction network with a pre-trained reversible normalization method for long-term time series forecasting. Neural Comput. Appl. 37(5): 3227-3244 (2025) - [j26]Jin Fan, Wenchao Weng, Qikai Chen, Huifeng Wu, Jia Wu:
PDG2Seq: Periodic Dynamic Graph to Sequence Model for Traffic Flow Prediction. Neural Networks 183: 106941 (2025) - [j25]Jin Fan, Miao Chen, Zhangyu Gu, Jiajun Yang, Huifeng Wu, Jia Wu:
SSIM over MSE: A new perspective for video anomaly detection. Neural Networks 185: 107115 (2025) - [j24]Jin Fan, Jiajun Yang, Zhangyu Gu, Huifeng Wu, Danfeng Sun, Feiwei Qin, Jia Wu:
Path-aware multi-scale learning for heterogeneous graph neural network. Neural Networks 191: 107743 (2025) - [j23]Jin Fan, Fu Zhu, Wenchao Weng, Xinyi Zhang, Hanyu Jiang, Hao Tian, Huifeng Wu:
Dynamic Modeling and Analysis of Bi-Directional Traffic Flows Through a Deep Spatio-Temporal Graph Neural Network. IEEE Trans. Big Data 11(6): 3016-3028 (2025) - [j22]Junjie Hu, Danfeng Sun, Jin Fan, Junwei Dong, Baiping Chen, Huifeng Wu, Jia Wu:
Extendable Multi-Device Collaborative Pipeline Parallel Inference in the Edge-Cloud Scenario. IEEE Trans. Consumer Electron. 71(2): 4065-4075 (2025) - [j21]Jin Fan, Zheyu Wang, Zehao Wang, Jiajun Yang, Huifeng Wu, Jia Wu:
Enhancing GCN Robustness Against Structural Attacks via Adaptive Spectrum Filtering. IEEE Trans. Inf. Forensics Secur. 20: 10668-10682 (2025) - [j20]Yifei Chen, Zhu Zhu, Shenghao Zhu, Linwei Qiu, Binfeng Zou, Fan Jia, Yunpeng Zhu, Chenyan Zhang, Zhaojie Fang, Feiwei Qin, Jin Fan, Changmiao Wang, Gang Yu, Yu Gao:
SCKansformer: Fine-Grained Classification of Bone Marrow Cells via Kansformer Backbone and Hierarchical Attention Mechanisms. IEEE J. Biomed. Health Informatics 29(1): 558-571 (2025) - [c6]Yifei Chen, Shenghao Zhu, Zhaojie Fang, Chang Liu, Binfeng Zou, Linwei Qiu, Yuhe Wang, Shuo Chang, Fan Jia, Feiwei Qin, Jin Fan, Yong Peng, Changmiao Wang:
Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning Approach. ICASSP 2025: 1-5 - [c5]Yingzhe Bao, Danfeng Sun, Junhui Liu, Jin Fan, Huifeng Wu:
A Cloud-Based High-Quality Code Intelligent Matching Tool for Industrial Control Programs. WWW (Companion Volume) 2025: 2803-2806 - [i6]Changwei Wu, Yifei Chen, Yuxin Du, Jinying Zong, Jie Dong, Mingxuan Liu, Yong Peng, Jin Fan, Feiwei Qin, Changmiao Wang:
Towards Practical Alzheimer's Disease Diagnosis: A Lightweight and Interpretable Spiking Neural Model. CoRR abs/2506.09695 (2025) - 2024
- [j19]Jin Fan, Wenchao Weng, Hao Tian, Huifeng Wu, Fu Zhu, Jia Wu:
RGDAN: A random graph diffusion attention network for traffic prediction. Neural Networks 172: 106093 (2024) - [j18]Jin Fan, Yan Ge, Xinyi Zhang, Zheyu Wang, Huifeng Wu, Jia Wu:
Learning the feature distribution similarities for online time series anomaly detection. Neural Networks 180: 106638 (2024) - [j17]Jin Fan, Yuxiang Ji, Huifeng Wu, Yan Ge, Danfeng Sun, Jia Wu:
An unsupervised video anomaly detection method via Optical Flow decomposition and Spatio-Temporal feature learning. Pattern Recognit. Lett. 185: 239-246 (2024) - [j16]Zehao Wang, Jin Fan, Huifeng Wu, Danfeng Sun, Jia Wu:
Representing Multiview Time-Series Graph Structures for Multivariate Long-Term Time-Series Forecasting. IEEE Trans. Artif. Intell. 5(6): 2651-2662 (2024) - [j15]Jin Fan, Zehao Wang, Danfeng Sun, Huifeng Wu:
Sepformer-Based Models: More Efficient Models for Long Sequence Time-Series Forecasting. IEEE Trans. Emerg. Top. Comput. 12(2): 432-443 (2024) - [i5]Yifei Chen, Zhu Zhu, Shenghao Zhu, Linwei Qiu, Binfeng Zou, Fan Jia, Yunpeng Zhu, Chenyan Zhang, Zhaojie Fang, Feiwei Qin, Jin Fan, Changmiao Wang, Yu Gao, Gang Yu:
SCKansformer: Fine-Grained Classification of Bone Marrow Cells via Kansformer Backbone and Hierarchical Attention Mechanisms. CoRR abs/2406.09931 (2024) - [i4]Zhaojie Fang, Shenghao Zhu, Yifei Chen, Binfeng Zou, Fan Jia, Linwei Qiu, Chang Liu, Yiyu Huang, Xiang Feng, Feiwei Qin, Changmiao Wang, Yeru Wang, Jin Fan, Changbiao Chu, Wan-Zhen Wu, Hu Zhao:
GFE-Mamba: Mamba-based AD Multi-modal Progression Assessment via Generative Feature Extraction from MCI. CoRR abs/2407.15719 (2024) - [i3]Yifei Chen, Shenghao Zhu, Zhaojie Fang, Chang Liu, Binfeng Zou, Yuhe Wang, Shuo Chang, Fan Jia, Feiwei Qin, Jin Fan, Yong Peng, Changmiao Wang:
Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning Approach. CoRR abs/2408.16343 (2024) - 2023
- [j14]Zehao Wang, Huifeng Wu, Jin Fan, Danfeng Sun, Jia Wu:
A robust feature reinforcement framework for heterogeneous graphs neural networks. Future Gener. Comput. Syst. 141: 143-153 (2023) - [j13]Jin Fan, Zhentao Liu, Huifeng Wu, Jia Wu, Zhanyu Si, Peng Hao, Tom H. Luan:
LUAD: A lightweight unsupervised anomaly detection scheme for multivariate time series data. Neurocomputing 557: 126644 (2023) - [j12]Jin Fan, Ke Zhang, Yipan Huang, Yifei Zhu, Baiping Chen:
Parallel spatio-temporal attention-based TCN for multivariate time series prediction. Neural Comput. Appl. 35(18): 13109-13118 (2023) - [j11]Jin Fan, Zehao Wang, Huifeng Wu, Danfeng Sun, Jia Wu, Xin Lu:
An Adversarial Time-Frequency Reconstruction Network for Unsupervised Anomaly Detection. Neural Networks 168: 44-56 (2023) - [j10]Wenchao Weng, Jin Fan, Huifeng Wu, Yujie Hu, Hao Tian, Fu Zhu, Jia Wu:
A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting. Pattern Recognit. 142: 109670 (2023) - [c4]Jinhua Chen, Jin Fan, Zhen Liu, Jiaqian Xiang, Jia Wu:
Segformer: Segment-Based Transformer with Decomposition for Long-Term Series Forecasting. IJCNN 2023: 1-8 - [c3]Jin Fan, Zhanyu Si, Zehao Wang, Danfeng Sun, Jia Wu, Huifeng Wu:
OOA-UADS: Offline, Online, Analysis-an Unsupervised Anomaly Detection Solution for Multivariate Time Series. IJCNN 2023: 1-9 - 2022
- [j9]Ke Zhang, Jin Fan, Shaoli Huang, Yongliang Qiao, Xiaofeng Yu, Feiwei Qin:
CEKD: Cross ensemble knowledge distillation for augmented fine-grained data. Appl. Intell. 52(14): 16640-16650 (2022) - [j8]Jin Fan, Xiaofeng Yu, Zehao Wang, Weijie Wang, Danfeng Sun, Huifeng Wu:
AUBRec: adaptive augmented self-attention via user behaviors for sequential recommendation. Neural Comput. Appl. 34(24): 21715-21728 (2022) - [i2]Jin Fan, Ke Zhang, Yipan Huang, Yifei Zhu, Baiping Chen:
Parallel Spatio-Temporal Attention-Based TCN for Multivariate Time Series Prediction. CoRR abs/2203.00971 (2022) - [i1]Ke Zhang, Jin Fan, Shaoli Huang, Yongliang Qiao, Xiaofeng Yu, Feiwei Qin:
CEKD: Cross Ensemble Knowledge Distillation for Augmented Fine-grained Data. CoRR abs/2203.06551 (2022) - 2021
- [j7]Jin Fan, Yipan Huang, Ke Zhang, Sen Wang, Jinhua Chen, Baiping Chen:
DWNet: Dual-Window Deep Neural Network for Time Series Prediction. Complex. 2021: 1125630:1-1125630:10 (2021) - 2020
- [j6]Jin Fan, Hongkun Wang, Yipan Huang, Ke Zhang, Bei Zhao:
AEDmts: An Attention-Based Encoder-Decoder Framework for Multi-Sensory Time Series Analytic. IEEE Access 8: 37406-37415 (2020) - [j5]Qing Wu, Xiaojin Lu, Shan Xue, Chao Wang, Xundong Wu, Jin Fan:
SBNN: Slimming binarized neural network. Neurocomputing 401: 113-122 (2020) - [c2]Qingtao Wang, Ke Zhang, Jin Fan, Shaoli Huang, Lianbo Zhang:
Multi-Order Feature Statistical Model for Fine-Grained Visual Categorization. ICPR 2020: 7379-7386
2010 – 2019
- 2019
- [j4]Qing Wu, Zheping Ma, Jin Fan, Gang Xu, Yuanfeng Shen:
A Feature Selection Method Based on Hybrid Improved Binary Quantum Particle Swarm Optimization. IEEE Access 7: 80588-80601 (2019) - [j3]Qing Wu, Jie Wang, Jin Fan, Gang Xu, Jia Wu, Blake W. Johnson, Xingfei Li, Quan Do, Ruiquan Ge:
Improved Coupled Tensor Factorization with Its Applications in Health Data Analysis. Complex. 2019: 1574240:1-1574240:16 (2019) - [j2]Jian Jiang, Fei Lin, Jin Fan, Hang Lv, Jia Wu:
A Destination Prediction Network Based on Spatiotemporal Data for Bike-Sharing. Complex. 2019: 7643905:1-7643905:14 (2019) - 2018
- [c1]Qing Wu, Xingfei Li, Quan Do, Jin Fan, Ruiquan Ge, Jie Wang:
CTF-PSF: Coupled Tensor Factorization with Partially Shared Factors. IJCNN 2018: 1-8 - 2015
- [j1]Baohui Zhang, Jin Fan, Guojun Dai, Tom H. Luan:
A Hybrid Localization Approach in 3D Wireless Sensor Network. Int. J. Distributed Sens. Networks 11: 692345:1-692345:11 (2015)
Coauthor Index
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