Linchao Li

According to our database, Linchao Li authored at least 27 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

EBL: Efficient background learning for x-ray security inspection.

Wei Wang, Linyang He, Yiqing Li, Kai Zhou, Linchao Li, Guohua Cheng, Ting Wen

Appl. Intell., May, 2023

A Physical Law Constrained Deep Learning Model for Vehicle Trajectory Prediction.

Hanchu Li, Ziyi Liao, Yikang Rui, Linchao Li, Bin Ran

IEEE Internet Things J., 2023

Indoor 3D Adaptive Visible Light Positioning Framework with Resistance to Shadows and Reflections.

Linchao Li, Pan Tang, Yu Tong, Shuo Liu, Yue Yin, Jianhua Zhang

Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

Impact of Device Specifications on VLC Path Loss and System Performance: An Empirical Study.

Shuo Liu, Pan Tang, Yu Tong, Yue Yin, Linchao Li, Anrui Niu, Liang Xia, Jianhua Zhang

Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

2022

Passenger Flow Prediction Using Smart Card Data from Connected Bus System Based on Interpretable XGBoost.

Liang Zou, Sisi Shu, Xiang Lin, Kaisheng Lin, Jiasong Zhu, Linchao Li

Wirel. Commun. Mob. Comput., 2022

DeepVIP: Deep Learning-Based Vehicle Indoor Positioning Using Smartphones.

Baoding Zhou, Zhining Gu, Fuqiang Gu, Peng Wu, Chengjing Yang, Xu Liu, Linchao Li, Yan Li, Qingquan Li

IEEE Trans. Veh. Technol., 2022

Missing Data Imputation in GNSS Monitoring Time Series Using Temporal and Spatial Hankel Matrix Factorization.

Hanlin Liu, Linchao Li

Remote. Sens., 2022

Bus Travel Time Prediction Based on Ensemble Learning Methods.

Gang Zhong, Tingting Yin, Linchao Li, Jian Zhang, Honghai Zhang, Bin Ran

IEEE Intell. Transp. Syst. Mag., 2022

Displacement Data Imputation in Urban Internet of Things System Based on Tucker Decomposition With L2 Regularization.

Linchao Li, Xiang Lin, Hanlin Liu, Wenqi Lu, Baoding Zhou, Jiasong Zhu

IEEE Internet Things J., 2022

Response Prediction Based on Temporal and Spatial Deep Learning Model for Intelligent Structural Health Monitoring.

Bowen Du, Chunming Lin, Leilei Sun, Yangping Zhao, Linchao Li

IEEE Internet Things J., 2022

Simulations of solar-induced chlorophyll fluorescence over crop canopies using the integrated APSIM model.

Yakai Wang, Zhunqiao Liu, Qiang Yu, Liangyun Liu, Xinjie Liu, Linchao Li, Qianlan Jia, Chenhui Guo, Xiaoliang Lu

Comput. Electron. Agric., 2022

Developing machine learning models with multi-source environmental data to predict wheat yield in China.

Linchao Li, Bin Wang, Puyu Feng, De Li Liu, Qinsi He, Yajie Zhang, Yakai Wang, Siyi Li, Xiaoliang Lu, Chao Yue, Yi Li, Jianqiang He, Hao Feng, Guijun Yang, Qiang Yu

Comput. Electron. Agric., 2022

Saturation Line Forecasting via a Channel and Temporal Attention-Based Network.

Wei Wang, Linchao Li, Xuwei Wang, Qing Li, Shengyao Jia, Renyuan Tong

IEEE Access, 2022

2021

Analyzing the Impact of Climate Factors on GNSS-Derived Displacements by Combining the Extended Helmert Transformation and XGboost Machine Learning Algorithm.

Hanlin Liu, Linqiang Yang, Linchao Li

J. Sensors, 2021

Projection of the climate change effects on soil water dynamics of summer maize grown in water repellent soils using APSIM and HYDRUS-1D models.

Xiaofang Wang, Yi Li, Xinguo Chen, Haoran Wang, Linchao Li, Ning Yao, De Li Liu, Asim Biswas, Shikun Sun

Comput. Electron. Agric., 2021

ATCSpeechNet: A multilingual end-to-end speech recognition framework for air traffic control systems.

Yi Lin, Bo Yang, Linchao Li, Dongyue Guo, Jianwei Zhang, Hu Chen, Yi Zhang

Appl. Soft Comput., 2021

2020

Estimation of missing values in heterogeneous traffic data: Application of multimodal deep learning model.

Linchao Li, Bowen Du, Yonggang Wang, Lingqiao Qin, Huachun Tan

Knowl. Based Syst., 2020

A deep fusion model based on restricted Boltzmann machines for traffic accident duration prediction.

Linchao Li, Xi Sheng, Bowen Du, Yonggang Wang, Bin Ran

Eng. Appl. Artif. Intell., 2020

Coupled application of deep learning model and quantile regression for travel time and its interval estimation using data in different dimensions.

Linchao Li, Bin Ran, Jiasong Zhu, Bowen Du

Appl. Soft Comput., 2020

Missing data estimation method for time series data in structure health monitoring systems by probability principal component analysis.

Linchao Li, Hanlin Liu, Haijun Zhou, Chaodong Zhang

Adv. Eng. Softw., 2020

2019

Missing Value Imputation for Traffic-Related Time Series Data Based on a Multi-View Learning Method.

Linchao Li, Jian Zhang, Yonggang Wang, Bin Ran

IEEE Trans. Intell. Transp. Syst., 2019

Day-ahead traffic flow forecasting based on a deep belief network optimized by the multi-objective particle swarm algorithm.

Linchao Li, Lingqiao Qin, Xu Qu, Jian Zhang, Yonggang Wang, Bin Ran

Knowl. Based Syst., 2019

Traffic speed prediction for intelligent transportation system based on a deep feature fusion model.

Linchao Li, Xu Qu, Jian Zhang, Yonggang Wang, Bin Ran

J. Intell. Transp. Syst., 2019

A New Solution for Freeway Congestion: Cooperative Speed Limit Control Using Distributed Reinforcement Learning.

Chong Wang, Jian Zhang, Linghui Xu, Linchao Li, Bin Ran

IEEE Access, 2019

2018

Travel time prediction for highway network based on the ensemble empirical mode decomposition and random vector functional link network.

Linchao Li, Xu Qu, Jian Zhang, Hanchu Li, Bin Ran

Appl. Soft Comput., 2018

2017

Multiple imputation for incomplete traffic accident data using chained equations.

Linchao Li, Jian Zhang, Yonggang Wang, Bin Ran

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

An Approach to Identify Travel Hotspots at Night Based on Mobile Phone Data.

Guanchen Dai, Linchao Li, Jian Zhang, Xiaoli Zhang, Yi Lei, Zhongyue Yang, Qiuying Peng

Proceedings of the Information Technology and Intelligent Transportation Systems, 2017