System Informatics: From Methodology to Applications. - Kang Zhao 001; Yao Xie 002; Kwok-Leung Tsui; Qingming Wei; Wenpo Huang; Wei Jiang; Yanting Li; Su Gon Cho; Seoung Bum Kim; Kaibo Liu; Jianjun Shi 001; Young-Seon Jeong 001; et al. (IEEE Intell. Syst., 2015)

Analysis of Flight Data Using Clustering Techniques for Detecting Abnormal Operations. - Lishuai Li; Santanu Das; R. John Hansman; Rafael Palacios; Ashok N. Srivastava (J. Aerosp. Inf. Syst., 2015)

Condition monitoring of wheel wear for high-speed trains: A data-driven approach. - Peiwen Xu; Weiran Yao; Yang Zhao 009; Cai Yi; Lishuai Li; Jianhui Lin; Kwok Leung Tsui (ICPHM, 2018)

A Multi-Agent Approach for Reactionary Delay Prediction of Flights. - Yash Guleria; Qing Cai; Sameer Alam; Lishuai Li (IEEE Access, 2019)

Cost analysis of a piece-wise renewing free replacement warranty policy. - Xiaolin Wang 005; Kangzhe He; Zhen He 001; Lishuai Li; Min Xie 001 (Comput. Ind. Eng., 2019)

Optimal preventive maintenance strategy for leased equipment under successive usage-based contracts. - Xiaolin Wang 005; Lishuai Li; Min Xie 001 (Int. J. Prod. Res., 2019)

On optimal upgrade strategy for second-hand multi-component systems sold with warranty. - Xiaolin Wang 005; Min Xie 001; Lishuai Li (Int. J. Prod. Res., 2019)

Calibrating Classification Probabilities with Shape-Restricted Polynomial Regression. - Yongqiao Wang; Lishuai Li; Chuangyin Dang (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Improved Flight Time Predictions for Fuel Loading Decisions of Scheduled Flights with a Deep Learning Approach. - Xinting Zhu; Lishuai Li (CoRR, 2020)

An Incremental Clustering Method for Anomaly Detection in Flight Data. - Weizun Zhao; Lishuai Li; Sameer Alam; Yanjun Wang (CoRR, 2020)

From Aircraft Tracking Data to Network Delay Model: A Data-Driven Approach Considering En-Route Congestion. - Yu Lin; Lishuai Li; Pan Ren; Yanjun Wang; W. Y. Szeto (CoRR, 2020)

Data-driven Method for Estimating Aircraft Mass from Quick Access Recorder using Aircraft Dynamics and Multilayer Perceptron Neural Network. - Xinyu He; Fang He; Xinting Zhu; Lishuai Li (CoRR, 2020)

An unpunctual preventive maintenance policy under two-dimensional warranty. - Xiaolin Wang 005; Lishuai Li; Min Xie 001 (Eur. J. Oper. Res., 2020)

On dynamically monitoring aggregate warranty claims for early detection of reliability problems. - Chenglong Li; Xiaolin Wang 005; Lishuai Li; Min Xie 001; Xin Wang 101 (IISE Trans., 2020)

High-Speed Rail Suspension System Health Monitoring Using Multi-Location Vibration Data. - Ning Hong; Lishuai Li; Weiran Yao; Yang Zhao 009; Cai Yi; Jianhui Lin; Kwok Leung Tsui (IEEE Trans. Intell. Transp. Syst., 2020)

Correction to "High-Speed Rail Suspension System Health Monitoring Using Multi-Location Vibration Data". - Ning Hong; Lishuai Li; Weiran Yao; Yang Zhao 009; Cai Yi; Jianhui Lin; Kwok Leung Tsui (IEEE Trans. Intell. Transp. Syst., 2021)

A Route Network Planning Method for Urban Air Delivery. - Xinyu He; Fang He; Lishuai Li; Lei Zhang; Gang Xiao 002 (CoRR, 2022)

Short-Term Nationwide Airport Throughput Prediction With Graph Attention Recurrent Neural Network. - Xinting Zhu; Yu Lin; Yuxin He; Kwok-Leung Tsui; Pak Wai Chan; Lishuai Li (Frontiers Artif. Intell., 2022)

Warranty Reserve Management: Demand Learning and Funds Pooling. - Xiao-Lin Wang 005; Yuanguang Zhong; Lishuai Li; Wei Xie; Zhi-Sheng Ye 001 (Manuf. Serv. Oper. Manag., 2022)

Multi-Graph Convolutional-Recurrent Neural Network (MGC-RNN) for Short-Term Forecasting of Transit Passenger Flow. - Yuxin He; Lishuai Li; Xinting Zhu; Kwok Leung Tsui (IEEE Trans. Intell. Transp. Syst., 2022)

Remaining Useful Life Modelling with an Escalator Health Condition Analytic System. - 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 (CoRR, 2023)

Profile Abstract: An Optimization-Based Subset Selection and Summarization Method for Profile Data Mining. - Feng Zhu 016; Jianshe Feng; Min Xie 001; Lishuai Li; Jingzhe Lei; Jay Lee (IEEE Trans. Ind. Informatics, 2023)

Dynamic Feature Extraction and Prediction for High Dimensional Time Series with Seasonality. - Bingyuan Li; Yang Wang 094; Yang Zhao 009; Lishuai Li; Yining Dong (CASE, 2024)

Data-driven approaches for satellite SADA system health monitoring with limited data. - Xinting Zhu; Lishuai Li; Yanfang Mo; Yining Dong; Xuejin X. Shen; Xiaoyu Chen; S. Joe Qin (CASE, 2024)

Diffusion-based Method for Satellite Pattern-of-Life Identification. - Yongchao Ye; Xinting Zhu; Xuejin Shen; Xiaoyu Chen; Lishuai Li; S. Joe Qin (CoRR, 2024)

Knowledge-Informed Wheel Wear Prediction Method for High-Speed Train Using Multisource Signal Data. - Chen Chen; Feng Zhu 016; Zhongwei Xu; Qinglin Xie; Siu Ming Lo; Kwok Leung Tsui; Lishuai Li (IEEE Trans. Instrum. Meas., 2024)

Fuel consumption prediction for pre-departure flights using attention-based multi-modal fusion. - Yi Lin 006; Dongyue Guo; Yuankai Wu; Lishuai Li; Edmond Qi Wu; Wenyi Ge (Inf. Fusion, 2024)

Physically Interpretable Wavelet-Guided Networks With Dynamic Frequency Decomposition for Machine Intelligence Fault Prediction. - Huan Wang 015; Yan-Fu Li; Tianli Men; Lishuai Li (IEEE Trans. Syst. Man Cybern. Syst., 2024)

In-Depth Insights into the Application of Recurrent Neural Networks (RNNs) in Traffic Prediction: A Comprehensive Review. - Yuxin He; Ping Huang; Weihang Hong; Qin Luo; Lishuai Li; Kwok-Leung Tsui (Algorithms, 2024)

A hierarchical scheme for dynamic monitoring of multi-scale multi-mode systems. - Jiaorao Wang; Lishuai Li; S. Joe Qin (Comput. Chem. Eng., 2025)

Forecasting short-term passenger flow via CBGC-SCI: an in-depth comparative study on Shenzhen Metro. - Yuxin He; Weihang Hong; Lishuai Li; Jinlei Zhang; Jin Qin; Qin Luo (Mach. Learn., 2025)