Lishuai Li
Cited by
Cited by
Anomaly detection via a Gaussian Mixture Model for flight operation and safety monitoring
L Li, RJ Hansman, R Palacios, R Welsch
Transportation Research Part C: Emerging Technologies 64, 45-57, 2016
Analysis of Flight Data Using Clustering Techniques for Detecting Abnormal Operations
L Li, S Das, RJ Hansman, R Palacios, A Srivastava
Journal of Aerospace Information Systems, 2015
Anomaly detection in onboard-recorded flight data using cluster analysis
L Li, M Gariel, RJ Hansman, R Palacios
2011 IEEE/AIAA 30th Digital Avionics Systems Conference, 4A4-1-4A4-11, 2011
Early prediction of battery lifetime via a machine learning based framework
Z Fei, F Yang, KL Tsui, L Li, Z Zhang
Energy 225, 120205, 2021
The image of the City on social media: A comparative study using “Big Data” and “Small Data” methods in the Tri-City Region in Poland
J Huang, H Obracht-Prondzynska, D Kamrowska-Zaluska, Y Sun, L Li
Landscape and Urban Planning 206, 103977, 2020
An unpunctual preventive maintenance policy under two-dimensional warranty
X Wang, L Li, M Xie
European Journal of Operational Research 282 (1), 304-318, 2020
Flight trajectory data analytics for characterization of air traffic flows: A comparative analysis of terminal area operations between New York, Hong Kong and Sao Paulo
MCR Murça, RJ Hansman, L Li, P Ren
Transportation Research Part C: Emerging Technologies 97, 324-347, 2018
Measuring the resilience of an airport network
W Yanjun, Z Jianming, XU Xinhua, LI Lishuai, C Ping, M Hansen
Chinese Journal of Aeronautics 32 (12), 2694-2705, 2019
Characterizing air traffic networks via large-scale aircraft tracking data: A comparison between China and the US networks
P Ren, L Li
Journal of Air Transport Management 67, 181-196, 2018
Optimal preventive maintenance strategy for leased equipment under successive usage-based contracts
X Wang, L Li, M Xie
International Journal of Production Research 57 (18), 5705-5724, 2019
Anomaly detection in airline routine operations using flight data recorder data
L Li
Massachusetts Institute of Technology Cambridge, MA 02139 USA, 2013
A Multi-Agent Approach for Reactionary Delay Prediction of Flights
Y Guleria, Q Cai, S Alam, L Li
IEEE Access 7, 181565-181579, 2019
Cost analysis of a piece-wise renewing free replacement warranty policy
X Wang, K He, Z He, L Li, M Xie
Computers & Industrial Engineering 135, 1047-1062, 2019
On optimal upgrade strategy for second-hand multi-component systems sold with warranty
X Wang, M Xie, L Li
International Journal of Production Research 57 (3), 847-864, 2019
Calibrating Classification Probabilities with Shape-Restricted Polynomial Regression
Y Wang, L Li, C Dang
IEEE transactions on pattern analysis and machine intelligence 41 (8), 1813-1827, 2019
Comparison of Algorithms for Anomaly Detection in Flight Recorder Data of Airline Operations
S Das, L Li, A Srivastava, RJ Hansman
12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference …, 2012
Flight time prediction for fuel loading decisions with a deep learning approach
X Zhu, L Li
Transportation Research Part C: Emerging Technologies 128, 103179, 2021
Multi-graph convolutional-recurrent neural network (MGC-RNN) for short-term forecasting of transit passenger flow
Y He, L Li, X Zhu, KL Tsui
IEEE Transactions on Intelligent Transportation Systems 23 (10), 18155-18174, 2022
An incremental clustering method for anomaly detection in flight data
W Zhao, L Li, S Alam, Y Wang
Transportation Research Part C: Emerging Technologies 132, 103406, 2021
High-Speed Rail Suspension System Health Monitoring Using Multi-Location Vibration Data
N Hong, L Li, W Yao, Y Zhao, C Yi, J Lin, KL Tsui
IEEE Transactions on Intelligent Transportation Systems, 2019
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