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Lishuai Li
Lishuai Li
Associate Professor, City University of Hong Kong
在 cityu.edu.hk 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
2392016
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
1962015
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
1422021
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
1302011
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
1062020
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
832018
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
802020
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
792019
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
582019
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
522018
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
482022
A multi-agent approach for reactionary delay prediction of flights
Y Guleria, Q Cai, S Alam, L Li
IEEE Access 7, 181565-181579, 2019
432019
Anomaly detection in airline routine operations using flight data recorder data
L Li
Massachusetts Institute of Technology Cambridge, MA 02139 USA, 2013
432013
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
342019
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
332019
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
292021
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
292021
From aircraft tracking data to network delay model: A data-driven approach considering en-route congestion
Y Lin, L Li, P Ren, Y Wang, WY Szeto
Transportation Research Part C: Emerging Technologies 131, 103329, 2021
252021
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
252019
Tracking traffic congestion and accidents using social media data: A case study of Shanghai
H Chang, L Li, J Huang, Q Zhang, KS Chin
Accident Analysis & Prevention 169, 106618, 2022
242022
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