Obstacles Detection Algorithm in Forest based on Multi-sensor Data Fusion. - Xiaokang Ding; Lei Yan; Jinhao Liu; Jianlei Kong; Zheng Yu (J. Multim., 2013)

Improved Accurate Extrinsic Calibration Algorithm of Camera and Two-dimensional Laser Scanner. - Jianlei Kong; Lei Yan; Jinhao Liu; Qingqing Huang; Xiaokang Ding (J. Multim., 2013)

New Hybrid Algorithms for Estimating Tree Stem Diameters at Breast Height Using a Two Dimensional Terrestrial Laser Scanner. - Jianlei Kong; Xiaokang Ding; Jinhao Liu; Lei Yan; Jianli Wang (Sensors, 2015)

A novel stumpage detection method for forest harvesting based on multi-sensor fusion. - Xiaokang Ding; Jianlei Kong; Lei Yan; Jinhao Liu; Zheng Yu (Signal Image Video Process., 2015)

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)

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)

Walking Gait Phase Detection Based on Acceleration Signals Using Voting-Weighted Integrated Neural Network. - Lei Yan; Tao Zhen; Jian-Lei Kong; Lian-Ming Wang; Xiao-Lei Zhou (Complex., 2020)

Hybrid Deep-Learning Framework Based on Gaussian Fusion of Multiple Spatiotemporal Networks for Walking Gait Phase Recognition. - Tao Zhen; Jian-Lei Kong; Lei Yan (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)

Fine-Grained Pests Recognition Based on Truncated Probability Fusion Network via Internet of Things in Forestry and Agricultural Scenes. - Kai Ma; Ming-Jun Nie; Sen Lin; Jian-Lei Kong; Cheng-Cai Yang; Jinhao Liu (Algorithms, 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)

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)

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)

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)

Multivariable High-Dimension Time-Series Prediction in SIoT via Adaptive Dual-Graph-Attention Encoder-Decoder With Global Bayesian Optimization. - Zimeng Dong; Jianlei Kong; Wenjing Yan; Xiaoyi Wang 001; Hai-Sheng Li 002 (IEEE Internet Things J., 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)

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)

Multimodal Entity Recognition and Relation Extraction via Dynamic Visual-Textual Enhanced Fusion for Social Media Applications in Consumer Electronics. - Qingchuan Zhang; Zihan Li; Jianlei Kong; Min Zuo (IEEE Trans. Consumer Electron., 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)

Exploring the relationship among technology acceptance, learner engagement and critical thinking in the Chinese college-level EFL context. - Yang Han; Shixin Yang; Song Han; Wenjuan He; Sarentuya Bao; Jianlei Kong (Educ. Inf. Technol., 2025)