Jian-Lei Kong (Jianlei Kong)

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 20

Top Topics

Network Analysis

Machine Learning

High Efficiency

Top Venues

Entropy (Basel, Switzerland)

Computational intelligence and neuroscience

Foods (Basel, Switzerland)

International journal of environmental research and public health

This page only lists publications with an associated author ORCID identifier.

Publications

Yanqiu Zhu, Shuxiang Fan, Min Zuo, Baohua Zhang, Qingzhen Zhu, Jian-Lei Kong
Discrimination of New and Aged Seeds Based on On-Line Near-Infrared Spectroscopy Technology Combined with Machine Learning. Foods (Basel, Switzerland) 13 (10) (2024)
Yanqiu Zhu, Shuxiang Fan, Min Zuo, Baohua Zhang, Qingzhen Zhu, Jian-Lei Kong
Discrimination of New and Aged Seeds Based on On-Line Near-Infrared Spectroscopy Technology Combined with Machine Learning. Foods (Basel, Switzerland) 13 (10) (2024)
Wei Dong, Tianyu Hu, Qingchuan Zhang, Furong Deng, Mengyao Wang, Jian-Lei Kong, Yishu Dai
Prediction of Food Safety Risk Level of Wheat in China Based on Pyraformer Neural Network Model for Heavy Metal Contamination. Foods (Basel, Switzerland) 12 (9) (2023)
Xue-Bo Jin, Zhong-Yao Wang, Jian-Lei Kong, Yu-Ting Bai, Ting-Li Su, Hui-Jun Ma, Prasun Chakrabarti
Deep Spatio-Temporal Graph Network with Self-Optimization for Air Quality Prediction. Entropy (Basel, Switzerland) 25 (2) (2023)
Xue-Bo Jin, Zhong-Yao Wang, Jian-Lei Kong, Yu-Ting Bai, Ting-Li Su, Hui-Jun Ma, Prasun Chakrabarti
Deep Spatio-Temporal Graph Network with Self-Optimization for Air Quality Prediction. Entropy (Basel, Switzerland) 25 (2) (2023)
Xin Xu, Cheng-Cai Yang, Yang Xiao, Jian-Lei Kong
A Fine-Grained Recognition Neural Network with High-Order Feature Maps via Graph-Based Embedding for Natural Bird Diversity Conservation. International journal of environmental research and public health 20 (6) (2023)
Xin Xu, Cheng-Cai Yang, Yang Xiao, Jian-Lei Kong
A Fine-Grained Recognition Neural Network with High-Order Feature Maps via Graph-Based Embedding for Natural Bird Diversity Conservation. International journal of environmental research and public health 20 (6) (2023)
Xue-Bo Jin, Wei Chen, Hui-Jun Ma, Jian-Lei Kong, Ting-Li Su, Yu-Ting Bai
Parameter-Free State Estimation Based on Kalman Filter with Attention Learning for GPS Tracking in Autonomous Driving System. Sensors (Basel, Switzerland) 23 (20) (2023)
Xin Xu, Cheng-Cai Yang, Yang Xiao, Jian-Lei Kong
A Fine-Grained Recognition Neural Network with High-Order Feature Maps via Graph-Based Embedding for Natural Bird Diversity Conservation. International journal of environmental research and public health 20 (6) (2023)
Wei Dong, Tianyu Hu, Qingchuan Zhang, Furong Deng, Mengyao Wang, Jian-Lei Kong, Yishu Dai
Prediction of Food Safety Risk Level of Wheat in China Based on Pyraformer Neural Network Model for Heavy Metal Contamination. Foods (Basel, Switzerland) 12 (9) (2023)
Xue-Bo Jin, Zhong-Yao Wang, Jian-Lei Kong, Yu-Ting Bai, Ting-Li Su, Hui-Jun Ma, Prasun Chakrabarti
Deep Spatio-Temporal Graph Network with Self-Optimization for Air Quality Prediction. Entropy (Basel, Switzerland) 25 (2) (2023)
Jian Wang, Xin Zhang, Jiping Xu, Xiao-Yi Wang, Haisheng Li, Zhiyao Zhao, Jian-Lei Kong
Blockchain-Based Information Supervision Model for Rice Supply Chains. Computational intelligence and neuroscience 2022 (2022)
Xue-Bo Jin, Wen-Tao Gong, Jian-Lei Kong, Yu-Ting Bai, Ting-Li Su
A Variational Bayesian Deep Network with Data Self-Screening Layer for Massive Time-Series Data Forecasting. Entropy (Basel, Switzerland) 24 (3) (2022)
Jian-Lei Kong, Cheng-Cai Yang, Yang Xiao, Sen Lin, Kai Ma, Qingzhen Zhu
A Graph-Related High-Order Neural Network Architecture via Feature Aggregation Enhancement for Identification Application of Diseases and Pests. Computational intelligence and neuroscience 2022 (2022)
Zhigang Shi, Yu-Ting Bai, Xue-Bo Jin, Xiaoyi Wang, Tingli Su, Jian-Lei Kong
Deep Prediction Model Based on Dual Decomposition with Entropy and Frequency Statistics for Nonstationary Time Series. Entropy (Basel, Switzerland) 24 (3) (2022)
Wenjie Liu, Yu-Ting Bai, Xue-Bo Jin, Xiao-Yi Wang, Ting-Li Su, Jian-Lei Kong
Broad Echo State Network with Reservoir Pruning for Nonstationary Time Series Prediction. Computational intelligence and neuroscience 2022 (2022)
Xue-Bo Jin, Ruben Jonhson Robert Jeremiah, Ting-Li Su, Yu-Ting Bai, Jian-Lei Kong
The New Trend of State Estimation: From Model-Driven to Hybrid-Driven Methods. Sensors (Basel, Switzerland) 21 (6) (2021)
Jian-Lei Kong, Chengcai Yang, Jianli Wang, Xiaoyi Wang, Min Zuo, Xue-Bo Jin, Sen Lin
Deep-Stacking Network Approach by Multisource Data Mining for Hazardous Risk Identification in IoT-Based Intelligent Food Management Systems. Computational intelligence and neuroscience 2021 (2021)
Xue-Bo Jin, Jia-Hui Zhang, Ting-Li Su, Yu-Ting Bai, Jian-Lei Kong, Xiao-Yi Wang
Modeling and Analysis of Data-Driven Systems through Computational Neuroscience Wavelet-Deep Optimized Model for Nonlinear Multicomponent Data Forecasting. Computational intelligence and neuroscience 2021 (2021)
Xue-Bo Jin, Aiqiang Yang, Tingli Su, Jian-Lei Kong, Yu-Ting Bai
Multi-Channel Fusion Classification Method Based on Time-Series Data. Sensors (Basel, Switzerland) 21 (13) (2021)