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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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

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)