A Hybrid Localization Approach in 3D Wireless Sensor Network. - Baohui Zhang; Jin Fan 003; Guojun Dai; Tom H. Luan (Int. J. Distributed Sens. Networks, 2015)

CTF-PSF: Coupled Tensor Factorization with Partially Shared Factors. - Qing Wu 008; Xingfei Li; Quan Do; Jin Fan 003; Ruiquan Ge; Jie Wang 013 (IJCNN, 2018)

A Feature Selection Method Based on Hybrid Improved Binary Quantum Particle Swarm Optimization. - Qing Wu 008; Zheping Ma; Jin Fan 003; Gang Xu 001; Yuanfeng Shen (IEEE Access, 2019)

A Destination Prediction Network Based on Spatiotemporal Data for Bike-Sharing. - Jian Jiang; Fei Lin; Jin Fan 003; Hang Lv 005; Jia Wu 001 (Complex., 2019)

Improved Coupled Tensor Factorization with Its Applications in Health Data Analysis. - Qing Wu 008; Jie Wang 013; Jin Fan 003; Gang Xu 001; Jia Wu 001; Blake W. Johnson; Xingfei Li; Quan Do; Ruiquan Ge (Complex., 2019)

Multi-Order Feature Statistical Model for Fine-Grained Visual Categorization. - Qingtao Wang; Ke Zhang 029; Jin Fan 003; Shaoli Huang; Lianbo Zhang (ICPR, 2020)

AEDmts: An Attention-Based Encoder-Decoder Framework for Multi-Sensory Time Series Analytic. - Jin Fan 003; Hongkun Wang; Yipan Huang; Ke Zhang 029; Bei Zhao (IEEE Access, 2020)

SBNN: Slimming binarized neural network. - Qing Wu 008; Xiaojin Lu; Shan Xue 001; Chao Wang 037; Xundong Wu; Jin Fan 003 (Neurocomputing, 2020)

DWNet: Dual-Window Deep Neural Network for Time Series Prediction. - Jin Fan 003; Yipan Huang; Ke Zhang 029; Sen Wang; Jinhua Chen; Baiping Chen (Complex., 2021)

CEKD: Cross ensemble knowledge distillation for augmented fine-grained data. - Ke Zhang 029; Jin Fan 003; Shaoli Huang; Yongliang Qiao; Xiaofeng Yu; Feiwei Qin (Appl. Intell., 2022)

AUBRec: adaptive augmented self-attention via user behaviors for sequential recommendation. - Jin Fan 003; Xiaofeng Yu; Zehao Wang; Weijie Wang; Danfeng Sun; Huifeng Wu (Neural Comput. Appl., 2022)

Segformer: Segment-Based Transformer with Decomposition for Long-Term Series Forecasting. - Jinhua Chen; Jin Fan 003; Zhen Liu; Jiaqian Xiang; Jia Wu 001 (IJCNN, 2023)

OOA-UADS: Offline, Online, Analysis-an Unsupervised Anomaly Detection Solution for Multivariate Time Series. - Jin Fan 003; Zhanyu Si; Zehao Wang; Danfeng Sun; Jia Wu 001; Huifeng Wu (IJCNN, 2023)

A robust feature reinforcement framework for heterogeneous graphs neural networks. - Zehao Wang; Huifeng Wu; Jin Fan 003; Danfeng Sun; Jia Wu 001 (Future Gener. Comput. Syst., 2023)

Parallel spatio-temporal attention-based TCN for multivariate time series prediction. - Jin Fan 003; Ke Zhang 029; Yipan Huang; Yifei Zhu; Baiping Chen (Neural Comput. Appl., 2023)

A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting. - Wenchao Weng; Jin Fan 003; Huifeng Wu; Yujie Hu; Hao Tian; Fu Zhu; Jia Wu 001 (Pattern Recognit., 2023)

LUAD: A lightweight unsupervised anomaly detection scheme for multivariate time series data. - Jin Fan 003; Zhentao Liu; Huifeng Wu; Jia Wu 001; Zhanyu Si; Peng Hao; Tom H. Luan (Neurocomputing, 2023)

An Adversarial Time-Frequency Reconstruction Network for Unsupervised Anomaly Detection. - Jin Fan 003; Zehao Wang; Huifeng Wu; Danfeng Sun; Jia Wu 001; Xin Lu 005 (Neural Networks, 2023)

GFE-Mamba: Mamba-based AD Multi-modal Progression Assessment via Generative Feature Extraction from MCI. - Zhaojie Fang; Shenghao Zhu; Yifei Chen; Binfeng Zou; Fan Jia; Linwei Qiu; Chang Liu 090; Yiyu Huang; Xiang Feng; Feiwei Qin; Changmiao Wang; Yeru Wang; et al. (CoRR, 2024)

Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning Approach. - Yifei Chen; Shenghao Zhu; Zhaojie Fang; Chang Liu 090; Binfeng Zou; Yuhe Wang; Shuo Chang; Fan Jia; Feiwei Qin; Jin Fan 003; Yong Peng 001; Changmiao Wang (CoRR, 2024)

Learning the feature distribution similarities for online time series anomaly detection. - Jin Fan 003; Yan Ge; Xinyi Zhang; Zheyu Wang; Huifeng Wu; Jia Wu 001 (Neural Networks, 2024)

RGDAN: A random graph diffusion attention network for traffic prediction. - Jin Fan 003; Wenchao Weng; Hao Tian; Huifeng Wu; Fu Zhu; Jia Wu 001 (Neural Networks, 2024)

An unsupervised video anomaly detection method via Optical Flow decomposition and Spatio-Temporal feature learning. - Jin Fan 003; Yuxiang Ji; Huifeng Wu; Yan Ge; Danfeng Sun; Jia Wu 001 (Pattern Recognit. Lett., 2024)

Sepformer-Based Models: More Efficient Models for Long Sequence Time-Series Forecasting. - Jin Fan 003; Zehao Wang; Danfeng Sun; Huifeng Wu (IEEE Trans. Emerg. Top. Comput., 2024)

Representing Multiview Time-Series Graph Structures for Multivariate Long-Term Time-Series Forecasting. - Zehao Wang; Jin Fan 003; Huifeng Wu; Danfeng Sun; Jia Wu 001 (IEEE Trans. Artif. Intell., 2024)

Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning Approach. - Yifei Chen; Shenghao Zhu; Zhaojie Fang; Chang Liu 090; Binfeng Zou; Linwei Qiu; Yuhe Wang; Shuo Chang; Fan Jia; Feiwei Qin; Jin Fan 003; Yong Peng 001; et al. (ICASSP, 2025)

A Cloud-Based High-Quality Code Intelligent Matching Tool for Industrial Control Programs. - Yingzhe Bao; Danfeng Sun; Junhui Liu; Jin Fan 003; Huifeng Wu (WWW (Companion Volume), 2025)

A distribution feature extracting network with dual correlation for long sequence time-series forecasting. - Jin Fan 003; Zehao Wang; Feiwei Qin; Huifeng Wu; Danfeng Sun; Jia Wu 001 (Neurocomputing, 2025)

An enhanced residual learning framework for Graph Neural Networks based on Dual Random Walk. - Jin Fan 003; Zhangyu Gu; Jiajun Yang; Huifeng Wu; Danfeng Sun; Jia Wu 001 (Knowl. Based Syst., 2025)

SSIM over MSE: A new perspective for video anomaly detection. - Jin Fan 003; Miao Chen; Zhangyu Gu; Jiajun Yang; Huifeng Wu; Jia Wu 001 (Neural Networks, 2025)

PDG2Seq: Periodic Dynamic Graph to Sequence Model for Traffic Flow Prediction. - Jin Fan 003; Wenchao Weng; Qikai Chen; Huifeng Wu; Jia Wu 001 (Neural Networks, 2025)

Path-aware multi-scale learning for heterogeneous graph neural network. - Jin Fan 003; Jiajun Yang; Zhangyu Gu; Huifeng Wu; Danfeng Sun; Feiwei Qin; Jia Wu 001 (Neural Networks, 2025)

Enhancing GCN Robustness Against Structural Attacks via Adaptive Spectrum Filtering. - Jin Fan 003; Zheyu Wang; Zehao Wang; Jiajun Yang; Huifeng Wu; Jia Wu 001 (IEEE Trans. Inf. Forensics Secur., 2025)

SCKansformer: Fine-Grained Classification of Bone Marrow Cells via Kansformer Backbone and Hierarchical Attention Mechanisms. - Yifei Chen; Zhu Zhu; Shenghao Zhu; Linwei Qiu; Binfeng Zou; Fan Jia; Yunpeng Zhu; Chenyan Zhang; Zhaojie Fang; Feiwei Qin; Jin Fan 003; Changmiao Wang; et al. (IEEE J. Biomed. Health Informatics, 2025)

GCINet: global convolution interaction network with a pre-trained reversible normalization method for long-term time series forecasting. - Jin Fan 003; Baoshun Yang; Danfeng Sun; Jie Liu; Qikai Chen; Zhipeng Wang; Jia Wu 001 (Neural Comput. Appl., 2025)

Extendable Multi-Device Collaborative Pipeline Parallel Inference in the Edge-Cloud Scenario. - Junjie Hu 005; Danfeng Sun; Jin Fan 003; Junwei Dong; Baiping Chen; Huifeng Wu; Jia Wu 001 (IEEE Trans. Consumer Electron., 2025)

Towards Practical Alzheimer's Disease Diagnosis: A Lightweight and Interpretable Spiking Neural Model. - Changwei Wu; Yifei Chen; Yuxin Du; Jinying Zong; Jie Dong; Mingxuan Liu; Yong Peng 001; Jin Fan 003; Feiwei Qin; Changmiao Wang (CoRR, 2025)

Dynamic Modeling and Analysis of Bi-Directional Traffic Flows Through a Deep Spatio-Temporal Graph Neural Network. - Jin Fan 003; Fu Zhu; Wenchao Weng; Xinyi Zhang; Hanyu Jiang 001; Hao Tian; Huifeng Wu (IEEE Trans. Big Data, 2025)

A responsive approach to multivariate time-series anomaly detection with K-distance based calibrated reconstruction. - Jin Fan 003; Yanhao Bi; Jin'an Yao; Liangkang Huang; Huifeng Wu; Jia Wu 001 (Neurocomputing, 2026)