Lishuai Li
Orcid: 0000-0002-0990-5119
According to our database1,
Lishuai Li authored at least 39 papers
between 2015 and 2026.
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Bibliography
2026
$\ell _{0}$-RASC-NN: An Efficient Spatiotemporal Data Completion Method for Edge Devices.
IEEE Trans. Mob. Comput., June, 2026
A Deep Clustering and Generative Approach for Large-Scale Air Traffic Trajectory Data.
IEEE Trans. Intell. Transp. Syst., March, 2026
IEEE Trans. Aerosp. Electron. Syst., 2026
Robust reinforcement learning with graph neural networks for stochastic urban rail daily maintenance scheduling.
Reliab. Eng. Syst. Saf., 2026
Spatio-temporal traffic accidents detection via graph based generative adversarial network.
Eng. Appl. Artif. Intell., 2026
Adaptive transformer boosted by temporal distribution analysis for soft sensing of industrial processes.
Appl. Soft Comput., 2026
2025
Use ADAS Data to Predict Near-Miss Events: A Group-Based Zero-Inflated Poisson Approach.
CoRR, September, 2025
Forecasting short-term passenger flow via CBGC-SCI: an in-depth comparative study on Shenzhen Metro.
Mach. Learn., January, 2025
Qual. Reliab. Eng. Int., 2025
Comput. Chem. Eng., 2025
Proceedings of the IEEE International Conference on Big Data, 2025
2024
In-Depth Insights into the Application of Recurrent Neural Networks (RNNs) in Traffic Prediction: A Comprehensive Review.
Algorithms, September, 2024
Physically Interpretable Wavelet-Guided Networks With Dynamic Frequency Decomposition for Machine Intelligence Fault Prediction.
IEEE Trans. Syst. Man Cybern. Syst., August, 2024
Fuel consumption prediction for pre-departure flights using attention-based multi-modal fusion.
Inf. Fusion, January, 2024
Knowledge-Informed Wheel Wear Prediction Method for High-Speed Train Using Multisource Signal Data.
IEEE Trans. Instrum. Meas., 2024
Data-driven approaches for satellite SADA system health monitoring with limited data.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024
Dynamic Feature Extraction and Prediction for High Dimensional Time Series with Seasonality.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024
2023
Profile Abstract: An Optimization-Based Subset Selection and Summarization Method for Profile Data Mining.
IEEE Trans. Ind. Informatics, 2023
2022
Multi-Graph Convolutional-Recurrent Neural Network (MGC-RNN) for Short-Term Forecasting of Transit Passenger Flow.
IEEE Trans. Intell. Transp. Syst., 2022
Manuf. Serv. Oper. Manag., 2022
Short-Term Nationwide Airport Throughput Prediction With Graph Attention Recurrent Neural Network.
Frontiers Artif. Intell., 2022
2021
Correction to "High-Speed Rail Suspension System Health Monitoring Using Multi-Location Vibration Data".
IEEE Trans. Intell. Transp. Syst., 2021
2020
High-Speed Rail Suspension System Health Monitoring Using Multi-Location Vibration Data.
IEEE Trans. Intell. Transp. Syst., 2020
On dynamically monitoring aggregate warranty claims for early detection of reliability problems.
IISE Trans., 2020
Eur. J. Oper. Res., 2020
Data-driven Method for Estimating Aircraft Mass from Quick Access Recorder using Aircraft Dynamics and Multilayer Perceptron Neural Network.
CoRR, 2020
From Aircraft Tracking Data to Network Delay Model: A Data-Driven Approach Considering En-Route Congestion.
CoRR, 2020
Improved Flight Time Predictions for Fuel Loading Decisions of Scheduled Flights with a Deep Learning Approach.
CoRR, 2020
2019
Calibrating Classification Probabilities with Shape-Restricted Polynomial Regression.
IEEE Trans. Pattern Anal. Mach. Intell., 2019
On optimal upgrade strategy for second-hand multi-component systems sold with warranty.
Int. J. Prod. Res., 2019
Optimal preventive maintenance strategy for leased equipment under successive usage-based contracts.
Int. J. Prod. Res., 2019
Comput. Ind. Eng., 2019
IEEE Access, 2019
2018
Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018
2015
Analysis of Flight Data Using Clustering Techniques for Detecting Abnormal Operations.
J. Aerosp. Inf. Syst., 2015