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Lishuai Li
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2020 – today
- 2024
- [j19]Yuxin He, Ping Huang, Weihang Hong, Qin Luo, Lishuai Li, Kwok-Leung Tsui:
In-Depth Insights into the Application of Recurrent Neural Networks (RNNs) in Traffic Prediction: A Comprehensive Review. Algorithms 17(9): 398 (2024) - [j18]Yi Lin, Dongyue Guo, Yuankai Wu, Lishuai Li, Edmond Qi Wu, Wenyi Ge:
Fuel consumption prediction for pre-departure flights using attention-based multi-modal fusion. Inf. Fusion 101: 101983 (2024) - [j17]Chen Chen, Feng Zhu, Zhongwei Xu, Qinglin Xie, Siu Ming Lo, Kwok Leung Tsui, Lishuai Li:
Knowledge-Informed Wheel Wear Prediction Method for High-Speed Train Using Multisource Signal Data. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j16]Huan Wang, Yan-Fu Li, Tianli Men, Lishuai Li:
Physically Interpretable Wavelet-Guided Networks With Dynamic Frequency Decomposition for Machine Intelligence Fault Prediction. IEEE Trans. Syst. Man Cybern. Syst. 54(8): 4863-4875 (2024) - [c3]Bingyuan Li, Yang Wang, Yang Zhao, Lishuai Li, Yining Dong:
Dynamic Feature Extraction and Prediction for High Dimensional Time Series with Seasonality. CASE 2024: 368-373 - [c2]Xinting Zhu, Lishuai Li, Yanfang Mo, Yining Dong, Xuejin X. Shen, Xiaoyu Chen, S. Joe Qin:
Data-driven approaches for satellite SADA system health monitoring with limited data. CASE 2024: 3225-3230 - 2023
- [j15]Feng Zhu, Jianshe Feng, Min Xie, Lishuai Li, Jingzhe Lei, Jay Lee:
Profile Abstract: An Optimization-Based Subset Selection and Summarization Method for Profile Data Mining. IEEE Trans. Ind. Informatics 19(9): 9337-9348 (2023) - [i7]Inez Maria Zwetsloot, Yu Lin, Jiaqi Qiu, Lishuai Li, William Ka Fai Lee, Edmond Yin San Yeung, Colman Yiu Wah Yeung, Chris Chun Long Wong:
Remaining Useful Life Modelling with an Escalator Health Condition Analytic System. CoRR abs/2306.05436 (2023) - 2022
- [j14]Xinting Zhu, Yu Lin, Yuxin He, Kwok-Leung Tsui, Pak Wai Chan, Lishuai Li:
Short-Term Nationwide Airport Throughput Prediction With Graph Attention Recurrent Neural Network. Frontiers Artif. Intell. 5: 884485 (2022) - [j13]Xiao-Lin Wang, Yuanguang Zhong, Lishuai Li, Wei Xie, Zhi-Sheng Ye:
Warranty Reserve Management: Demand Learning and Funds Pooling. Manuf. Serv. Oper. Manag. 24(4): 2221-2239 (2022) - [j12]Yuxin He, Lishuai Li, Xinting Zhu, Kwok Leung Tsui:
Multi-Graph Convolutional-Recurrent Neural Network (MGC-RNN) for Short-Term Forecasting of Transit Passenger Flow. IEEE Trans. Intell. Transp. Syst. 23(10): 18155-18174 (2022) - [i6]Xinyu He, Fang He, Lishuai Li, Lei Zhang, Gang Xiao:
A Route Network Planning Method for Urban Air Delivery. CoRR abs/2206.03085 (2022) - 2021
- [j11]Ning Hong, Lishuai Li, Weiran Yao, Yang Zhao, Cai Yi, Jianhui Lin, Kwok Leung Tsui:
Correction to "High-Speed Rail Suspension System Health Monitoring Using Multi-Location Vibration Data". IEEE Trans. Intell. Transp. Syst. 22(9): 6088 (2021) - [i5]Yuxin He, Lishuai Li, Xinting Zhu, Kwok Leung Tsui:
Multi-Graph Convolutional-Recurrent Neural Network (MGC-RNN) for Short-Term Forecasting of Transit Passenger Flow. CoRR abs/2107.13226 (2021) - 2020
- [j10]Xiaolin Wang, Lishuai Li, Min Xie:
An unpunctual preventive maintenance policy under two-dimensional warranty. Eur. J. Oper. Res. 282(1): 304-318 (2020) - [j9]Chenglong Li, Xiaolin Wang, Lishuai Li, Min Xie, Xin Wang:
On dynamically monitoring aggregate warranty claims for early detection of reliability problems. IISE Trans. 52(5): 568-587 (2020) - [j8]Ning Hong, Lishuai Li, Weiran Yao, Yang Zhao, Cai Yi, Jianhui Lin, Kwok Leung Tsui:
High-Speed Rail Suspension System Health Monitoring Using Multi-Location Vibration Data. IEEE Trans. Intell. Transp. Syst. 21(7): 2943-2955 (2020) - [i4]Xinting Zhu, Lishuai Li:
Improved Flight Time Predictions for Fuel Loading Decisions of Scheduled Flights with a Deep Learning Approach. CoRR abs/2005.05684 (2020) - [i3]Weizun Zhao, Lishuai Li, Sameer Alam, Yanjun Wang:
An Incremental Clustering Method for Anomaly Detection in Flight Data. CoRR abs/2005.09874 (2020) - [i2]Yu Lin, Lishuai Li, Pan Ren, Yanjun Wang, W. Y. Szeto:
From Aircraft Tracking Data to Network Delay Model: A Data-Driven Approach Considering En-Route Congestion. CoRR abs/2011.05645 (2020) - [i1]Xinyu He, Fang He, Xinting Zhu, Lishuai Li:
Data-driven Method for Estimating Aircraft Mass from Quick Access Recorder using Aircraft Dynamics and Multilayer Perceptron Neural Network. CoRR abs/2012.05907 (2020)
2010 – 2019
- 2019
- [j7]Yash Guleria, Qing Cai, Sameer Alam, Lishuai Li:
A Multi-Agent Approach for Reactionary Delay Prediction of Flights. IEEE Access 7: 181565-181579 (2019) - [j6]Xiaolin Wang, Kangzhe He, Zhen He, Lishuai Li, Min Xie:
Cost analysis of a piece-wise renewing free replacement warranty policy. Comput. Ind. Eng. 135: 1047-1062 (2019) - [j5]Xiaolin Wang, Min Xie, Lishuai Li:
On optimal upgrade strategy for second-hand multi-component systems sold with warranty. Int. J. Prod. Res. 57(3): 847-864 (2019) - [j4]Xiaolin Wang, Lishuai Li, Min Xie:
Optimal preventive maintenance strategy for leased equipment under successive usage-based contracts. Int. J. Prod. Res. 57(18): 5705-5724 (2019) - [j3]Yongqiao Wang, Lishuai Li, Chuangyin Dang:
Calibrating Classification Probabilities with Shape-Restricted Polynomial Regression. IEEE Trans. Pattern Anal. Mach. Intell. 41(8): 1813-1827 (2019) - 2018
- [c1]Peiwen Xu, Weiran Yao, Yang Zhao, Cai Yi, Lishuai Li, Jianhui Lin, Kwok Leung Tsui:
Condition monitoring of wheel wear for high-speed trains: A data-driven approach. ICPHM 2018: 1-8 - 2015
- [j2]Kang Zhao, Yao Xie, Kwok-Leung Tsui, Qingming Wei, Wenpo Huang, Wei Jiang, Yanting Li, Su Gon Cho, Seoung Bum Kim, Kaibo Liu, Jianjun Shi, Young-Seon Jeong, Byunghoon Kim, Seung Hoon Tong, In-Kap Chang, Myong Kee Jeong, Florent Charruaud, Lishuai Li:
System Informatics: From Methodology to Applications. IEEE Intell. Syst. 30(6): 12-29 (2015) - [j1]Lishuai Li, Santanu Das, R. John Hansman, Rafael Palacios, Ashok N. Srivastava:
Analysis of Flight Data Using Clustering Techniques for Detecting Abnormal Operations. J. Aerosp. Inf. Syst. 12(9): 587-598 (2015)
Coauthor Index
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last updated on 2024-11-11 21:29 CET by the dblp team
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