No-Model Tracking by Data-Driven Method Using BP Networks. - Xue-bo Jin 001; Hai-ran He; Ya-ming Wang; Meng-yang Yuan (ICAIC (1), 2011)

Image Enhancement Based on Selective - Retinex Fusion Algorithm. - Xuebo Jin 001; Jia Bao; Jingjing Du (J. Softw., 2012)

Fusion Estimation Based on UKF for Indoor RFID Tracking. - Xue-bo Jin 001 (GreenCom/iThings/CPScom, 2013)

Electronics Life Prediction based on Multiple Performance Parameters ADT using Multidimensional Time Series Model. - Li Wang 068; Zaiwen Liu; Xuebo Jin 001; Yan Shi (J. Comput., 2013)

Relation between Irregular Sampling and Estimated Covariance for Closed-Loop Tracking Method. - Bei-bei Miao; Xue-bo Jin 001 (ICA3PP (1), 2014)

Main Trend Extraction Based on Irregular Sampling Estimation and Its Application in Storage Volume of Internet Data Center. - Bei-bei Miao; Dou Chao; Xue-bo Jin 001 (Comput. Intell. Neurosci., 2016)

Parallel Irregular Fusion Estimation Based on Nonlinear Filter for Indoor RFID Tracking System. - Xue-bo Jin 001; Dou Chao; Ting-Li Su 001; Xiao-fen Lian; Shi Yan (Int. J. Distributed Sens. Networks, 2016)

A Novel Group Decision-Making Method Based on Sensor Data and Fuzzy Information. - Yu-Ting Bai; Baihai Zhang; Xiaoyi Wang 001; Xue-Bo Jin 001; Jiping Xu; Ting-Li Su 001; Zhao-Yang Wang (Sensors, 2016)

Segmentation of Time Series Based on Kinetic Characteristics for Storage Consumption Prediction. - Beibei Miao; Yu Chen; Xuebo Jin 001; Bo Wang; Xianping Qu; Shimin Tao; Dong Wang; Zhi Zang (ICDCS, 2017)

Online Denoising Based on the Second-Order Adaptive Statistics Model. - Shenglun Yi; Xue-bo Jin 001; Ting-Li Su 001; Zhen-Yun Tang; Fa-Fa Wang; Na Xiang; Jian-Lei Kong (Sensors, 2017)

3D Reconstruction of Pedestrian Trajectory with Moving Direction Learning and Optimal Gait Recognition. - Binbin Wang; Tingli Su 001; Xue-bo Jin 001; Jian-Lei Kong; Yu-Ting Bai (Complex., 2018)

Pedestrian indoor navigation using foot-mounted IMU with multi-sensor data fusion. - Shengkai Liu; Ting-Li Su 001; Binbin Wang; Shiyu Peng; Xue-bo Jin 001; Yu-Ting Bai; Dou Chao (Int. J. Model. Identif. Control., 2018)

Advances in Multi-Sensor Information Fusion: Theory and Applications 2017. - Xue-bo Jin 001; Shuli Sun; Hong Wei; Fengbao Yang (Sensors, 2018)

Semi-Supervised Segmentation Framework Based on Spot-Divergence Supervoxelization of Multi-Sensor Fusion Data for Autonomous Forest Machine Applications. - Jian-Lei Kong; Zhen-ni Wang; Xue-bo Jin 001; Xiaoyi Wang 001; Ting-Li Su 001; Jian-Li Wang (Sensors, 2018)

Probability Fusion Decision Framework of Multiple Deep Neural Networks for Fine-Grained Visual Classification. - Yang-Yang Zheng; Jian-Lei Kong; Xue-Bo Jin 001; Xiaoyi Wang 001; Ting-Li Su 001; Jian-Li Wang (IEEE Access, 2019)

Compound Autoregressive Network for Prediction of Multivariate Time Series. - Yuting Bai; Xuebo Jin 001; Xiaoyi Wang 001; Tingli Su 001; Jian-Lei Kong; Yutian Lu (Complex., 2019)

Broad learning system for human activity recognition using sensor data. - Ai-Qiang Yang; Xing-Hong Yu; Ting-Li Su 001; Xue-bo Jin 001; Jian-Lei Kong (Int. J. Comput. Appl. Technol., 2019)

Hard Decision-Based Cooperative Localization for Wireless Sensor Networks. - Zhaoyang Wang; Xuebo Jin 001; Xiaoyi Wang 001; Jiping Xu; Yuting Bai (Sensors, 2019)

CropDeep: The Crop Vision Dataset for Deep-Learning-Based Classification and Detection in Precision Agriculture. - Yang-Yang Zheng; Jian-Lei Kong; Xue-Bo Jin 001; Xiaoyi Wang 001; Ting-Li Su 001; Min Zuo (Sensors, 2019)

Improvements of Multihop Localization Algorithm for Wireless Sensor Networks. - Zhaoyang Wang; Baihai Zhang; Xiaoyi Wang 001; Xuebo Jin 001; Yuting Bai (IEEE Syst. J., 2019)

Deep-Learning Prediction Model with Serial Two-Level Decomposition Based on Bayesian Optimization. - Xue-Bo Jin 001; Hong-Xing Wang; Xiaoyi Wang 001; Yu-Ting Bai; Ting-Li Su 001; Jian-Lei Kong (Complex., 2020)

Fuzzy Boost Classifier of Decision Experts for Multicriteria Group Decision-Making. - Xiaoyi Wang 001; Yi Yang; Yu-Ting Bai; Jiabin Yu; Zhiyao Zhao; Xue-bo Jin 001 (Complex., 2020)

Gradient estimation algorithms for the parameter identification of bilinear systems using the auxiliary model. - Feng Ding 001; Ling Xu; Dandan Meng; Xue-bo Jin 001; Ahmed Alsaedi; Tasawar Hayat (J. Comput. Appl. Math., 2020)

An approach of recursive timing deep belief network for algal bloom forecasting. - Li Wang 068; Tianrui Zhang; Xuebo Jin 001; Jiping Xu; Xiaoyi Wang 001; Huiyan Zhang 002; Jiabin Yu; Qian Sun; Zhiyao Zhao; Yuxin Xie 003 (Neural Comput. Appl., 2020)

A Neuron-Based Kalman Filter with Nonlinear Autoregressive Model. - Yuting Bai; Xiaoyi Wang 001; Xue-bo Jin 001; Zhiyao Zhao; Baihai Zhang (Sensors, 2020)

Hybrid Deep Learning Predictor for Smart Agriculture Sensing Based on Empirical Mode Decomposition and Gated Recurrent Unit Group Model. - Xue-Bo Jin 001; Nian-Xiang Yang; Xiaoyi Wang 001; Yuting Bai; Ting-Li Su 001; Jian-Lei Kong (Sensors, 2020)

Deep Fusion Predictive Modeling Based on Noise Analysis. - Xue-bo Jin 001; Jia-hui Zhang; Tingli Su 001; Jian-Lei Kong; Yuting Bai (ICCAIS, 2021)

Multi-stream hybrid architecture based on cross-level fusion strategy for fine-grained crop species recognition in precision agriculture. - Jian-Lei Kong; Hong-Xing Wang; Xiaoyi Wang 001; Xuebo Jin 001; Xing Fang; Seng Lin (Comput. Electron. Agric., 2021)

Modeling and Analysis of Data-Driven Systems through Computational Neuroscience Wavelet-Deep Optimized Model for Nonlinear Multicomponent Data Forecasting. - Xue-Bo Jin 001; Jia-hui Zhang; Ting-Li Su 001; Yu-Ting Bai; Jian-Lei Kong; Xiaoyi Wang 001 (Comput. Intell. Neurosci., 2021)

Deep-Stacking Network Approach by Multisource Data Mining for Hazardous Risk Identification in IoT-Based Intelligent Food Management Systems. - Jianlei Kong; Chengcai Yang; Jianli Wang; Xiaoyi Wang 001; Min Zuo; Xuebo Jin 001; Sen Lin (Comput. Intell. Neurosci., 2021)

Distributed Deep Fusion Predictor for a Multi-Sensor System Based on Causality Entropy. - Xue-bo Jin 001; Xing-Hong Yu; Tingli Su 001; Dan-Ni Yang; Yu-Ting Bai; Jian-Lei Kong; Li Wang 068 (Entropy, 2021)

Parallel deep prediction with covariance intersection fusion on non-stationary time series. - Zhigang Shi; Yuting Bai; Xuebo Jin 001; Xiaoyi Wang 001; Tingli Su 001; Jian-Lei Kong (Knowl. Based Syst., 2021)

The New Trend of State Estimation: From Model-Driven to Hybrid-Driven Methods. - Xuebo Jin 001; Ruben Jonhson Robert Jeremiah; Ting-Li Su 001; Yu-Ting Bai; Jian-Lei Kong (Sensors, 2021)

Multi-Channel Fusion Classification Method Based on Time-Series Data. - Xue-bo Jin 001; Ai-Qiang Yang; Tingli Su 001; Jian-Lei Kong; Yuting Bai (Sensors, 2021)

Traffic Flow Prediction via Variational Bayesian Inference-based Encoder-Decoder Framework. - Jianlei Kong; Xiaomeng Fan; Xuebo Jin 001; Min Zuo (CoRR, 2022)

A Variational Bayesian Deep Network with Data Self-Screening Layer for Massive Time-Series Data Forecasting. - Xue-bo Jin 001; Wentao Gong; Jian-Lei Kong; Yu-Ting Bai; Ting-Li Su 001 (Entropy, 2022)

Deep Prediction Model Based on Dual Decomposition with Entropy and Frequency Statistics for Nonstationary Time Series. - Zhigang Shi; Yuting Bai; Xuebo Jin 001; Xiaoyi Wang 001; Tingli Su 001; Jian-Lei Kong (Entropy, 2022)

Continuous Positioning with Recurrent Auto-Regressive Neural Network for Unmanned Surface Vehicles in GPS Outages. - Yuting Bai; Zhiyao Zhao; Xiaoyi Wang 001; Xue-bo Jin 001; Baihai Zhang (Neural Process. Lett., 2022)

A Decimal Scaling Normalization Encoder-Decoder Deep Network for Modeling in the Nonlinear Systems. - Ting-Li Su 001; Bin Xue; Xue-Bo Jin 001; Jian-Lei Kong; Yu-Ting Bai; Hui-Jun Ma (RICAI, 2023)

State of art on state estimation: Kalman filter driven by machine learning. - Yuting Bai; Bin Yan; Chenguang Zhou; Tingli Su 001; Xuebo Jin 001 (Annu. Rev. Control., 2023)

Deep Spatio-Temporal Graph Network with Self-Optimization for Air Quality Prediction. - Xue-bo Jin 001; Zhong-Yao Wang; Jian-Lei Kong; Yu-Ting Bai; Ting-Li Su 001; Hui-Jun Ma; Prasun Chakrabarti (Entropy, 2023)

Location estimation based on feature mode matching with deep network models. - Yu-Ting Bai; Wei Jia; Xue-bo Jin 001; Ting-Li Su 001; Jian-Lei Kong (Frontiers Neurorobotics, 2023)

Parameter-Free State Estimation Based on Kalman Filter with Attention Learning for GPS Tracking in Autonomous Driving System. - Xue-bo Jin 001; Wei Chen; Hui-Jun Ma; Jian-Lei Kong; Ting-Li Su 001; Yu-Ting Bai (Sensors, 2023)

Fuzzy adaptive-normalized deep encoder-decoder network: Medium and long-term predictor of temperature and humidity in smart greenhouses. - Hui-Jun Ma; Xue-Bo Jin 001; Zi-Meng Li; Yu-Ting Bai (Comput. Electron. Agric., 2024)

A novel broad learning system integrated with restricted Boltzmann machine and echo state network for time series forecasting. - Yulei Zhang; Yuting Bai; Xuebo Jin 001; Zhiyao Zhao; Tingli Su 001 (Eng. Appl. Artif. Intell., 2024)

ADCT-Net: Adaptive traffic forecasting neural network via dual-graphic cross-fused transformer. - Jianlei Kong; Xiaomeng Fan; Min Zuo; Muhammet Deveci; Xuebo Jin 001; Kaiyang Zhong (Inf. Fusion, 2024)

A Variational Bayesian Inference-Based En-Decoder Framework for Traffic Flow Prediction. - Jianlei Kong; Xiaomeng Fan; Xue-bo Jin 001; Sen Lin; Min Zuo (IEEE Trans. Intell. Transp. Syst., 2024)

End-to-End GPS Tracker Based on Switchable Fuzzy Normalization Codec for Assistive Drone Application. - Xue-bo Jin 001; Jing-Yi Xie; Jian-Lei Kong; Jia-Shuai Zhang; Wei-Wei Cai 001; Min Zuo (IEEE Trans. Consumer Electron., 2024)

A Switched Approach for Smartphone-Based Pedestrian Navigation. - Shenglun Yi; Mattia Zorzi; Xuebo Jin 001; Tingli Su 001 (Sensors, 2024)

Ada-STGMAT: An adaptive spatio-temporal graph multi-attention network for intelligent time series forecasting in smart cities. - Xuebo Jin 001; Hui-Jun Ma; Jing-Yi Xie; Jianlei Kong; Muhammet Deveci; Seifedine Kadry 001 (Expert Syst. Appl., 2025)

Fusion Network Model Based on Broad Learning System for Multidimensional Time-Series Forecasting. - Yuting Bai; Xinyi Xue; Xuebo Jin 001; Zhiyao Zhao; Yulei Zhang (Int. J. Intell. Syst., 2025)

Binding Affinity Prediction and Pesticide Screening against Phytophthora sojae Using a Heterogeneous Interaction Graph Attention Network-Based Model. - Youxu Dai; Aiping Han; Hui-Jun Ma; Xuebo Jin 001; Danyang Zhu; Shiguang Sun; Ruiheng Li (J. Chem. Inf. Model., 2025)

FICformer: A Multi-factor Fuzzy Bayesian Imputation Cross-former for Big Data-driven Agricultural Decision Support Systems. - Jianlei Kong; Xiaomeng Fan; Min Zuo; Wenjing Yan; Xuebo Jin 001 (IEEE Trans. Fuzzy Syst., 2025)

TCM-Tongue: A Standardized Tongue Image Dataset with Pathological Annotations for AI-Assisted TCM Diagnosis. - Xue-bo Jin 001; Longfei Gao; Anshuo Tong; Zhengyang Chen; Jianlei Kong; Ning Sun; Hui-Jun Ma; Qiang Wang; Yuting Bai; Tingli Su 001 (CoRR, 2025)