Journal Publications
1. |
Zhu, F, Jia, X, Li, W, Xie, M, Li, L & Lee, J 2022, ‘Cross-chamber Data Transferability Evaluation for Fault Detection and Classification in Semiconductor Manufacturing’, IEEE Transactions on Semiconductor Manufacturing. https://doi.org/10.1109/TSM.2022.3222475 |
2. |
Wang, Z, Liao, C, Hang, X, Li, L, Delahaye, D & Hansen, M 2022, ‘Distribution Prediction of Strategic Flight Delays via Machine Learning Methods’, Sustainability (Switzerland), vol. 14, no. 22, 15180. https://doi.org/10.3390/su142215180 |
3. |
He, X, Jiang, C, Li, L & Blom, H 2022, ‘A Simulation Study of Risk-Aware Path Planning in Mitigating the Third-Party Risk of a Commercial UAS Operation in an Urban Area’, Aerospace, vol. 9, no. 11, 682. https://doi.org/10.3390/aerospace9110682 |
4. |
Huang, J, Cui, Y, Chang, H, Obracht-Prondzyńska, H, Kamrowska-Zaluska, D & Li, L 2022, ‘A city is not a tree: a multi-city study on street network and urban life’, Landscape and Urban Planning, vol. 226, 104469. https://doi.org/10.1016/j.landurbplan.2022.104469 |
5. |
He, X, He, F, Li, L, Zhang, L & Xiao, G 2022, ‘A route network planning method for urban air delivery’, Transportation Research Part E: Logistics and Transportation Review, vol. 166, 102872. https://doi.org/10.1016/j.tre.2022.102872 |
6. |
Fei, Z, Zhang, Z, Yang, F, Tsui, K-L & Li, L 2022, ‘Early-stage lifetime prediction for lithium-ion batteries: A deep learning framework jointly considering machine-learned and handcrafted data features’, Journal of Energy Storage, vol. 52, no. B, 104936. https://doi.org/10.1016/j.est.2022.104936 |
7. |
Hao, T, Huang, J, He, X, Li, L & Jones, P 2022, ‘A machine learning-enhanced design optimizer for urban cooling’, Indoor and Built Environment. https://doi.org/10.1177/1420326X221112857 |
8. |
Zhao, X, Wang, Y, Li, L & Delahaye, D 2022, ‘A Queuing Network Model of a Multi-Airport System Based on Point-Wise Stationary Approximation’, Aerospace, vol. 9, no. 7, 390. https://doi.org/10.3390/aerospace9070390 |
9. |
Wang, X-L, Zhong, Y, Li, L, Xie, W & Ye, Z-S 2022, ‘Warranty Reserve Management: Demand Learning and Funds Pooling’, Manufacturing & Service Operations Management, vol. 24, no. 4, pp. 2221–2239. https://doi.org/10.1287/msom.2022.1086 |
10. |
Huang, J, Cui, Y, Li, L, Guo, M, Ho, HC, Lu, Y & Webster, C 2022, ‘Re-examining Jane Jacobs’ doctrine using new urban data in Hong Kong’, Environment and Planning B: Urban Analytics and City Science. https://doi.org/10.1177/23998083221106186 |
11. |
Zhu, X, Lin, Y, He, Y, Tsui, K-L, Chan, PW & Li, L 2022, ‘Short-Term Nationwide Airport Throughput Prediction With Graph Attention Recurrent Neural Network’, Frontiers in Artificial Intelligence, vol. 5, 884485. https://doi.org/10.3389/frai.2022.884485 |
12. |
Chang, H, Huang, J, Yao, W, Zhao, W & Li, L 2022, ‘How do new transit stations affect people’s sentiment and activity? A case study based on social media data in Hong Kong’, Transport Policy, vol. 120, pp. 139-155. https://doi.org/10.1016/j.tranpol.2022.03.011 |
13. |
Chang, H, Li, L, Huang, J, Zhang, Q & Chin, KS 2022, ‘Tracking traffic congestion and accidents using social media data: A case study of Shanghai’, Accident Analysis and Prevention, vol. 169, 106618. https://doi.org/10.1016/j.aap.2022.106618 |
14. |
He, Y, Li, L, Zhu, X & Tsui, KL 2022, ‘Multi-Graph Convolutional-Recurrent Neural Network (MGC-RNN) for Short-Term Forecasting of Transit Passenger Flow’, IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/TITS.2022.3150600 |
15. |
Zhu, F, Feng, J, Xie, M, Li, L, Lei, J & Lee, J 2022, ‘Profile Abstract: An Optimization-based Subset Selection and Summarization Method for Profile Data Mining’, IEEE Transactions on Industrial Informatics. https://doi.org/10.1109/TII.2022.3227642 |
16. |
Zhao, W, Li, L, Alam, S & Wang, Y 2021, ‘An incremental clustering method for anomaly detection in flight data’, Transportation Research Part C: Emerging Technologies, vol. 132, 103406. https://doi.org/10.1016/j.trc.2021.103406 |
17. |
Lin, Y, Li, L, Ren, P, Wang, Y & Szeto, WY 2021, ‘From aircraft tracking data to network delay model: A data-driven approach considering en-route congestion’, Transportation Research Part C: Emerging Technologies, vol. 131, pp. 103329. https://doi.org/10.1016/j.trc.2021.103329 |
18. |
Hong, N, Li, L, Yao, W, Zhao, Y, Yi, C, Lin, J & Tsui, KL 2021, ‘Correction to “High-Speed Rail Suspension System Health Monitoring Using Multi-Location Vibration Data”’, IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 9, 9526275, pp. 6088. https://doi.org/10.1109/TITS.2021.3092455 |
19. |
Zhu, X & Li, L 2021, ‘Flight time prediction for fuel loading decisions with a deep learning approach’, Transportation Research Part C: Emerging Technologies, vol. 128, 103179. https://doi.org/10.1016/j.trc.2021.103179 |
20. |
Fei, Z, Yang, F, Tsui, K-L, Li, L & Zhang, Z 2021, ‘Early prediction of battery lifetime via a machine learning based framework’, Energy, vol. 225, 120205. https://doi.org/10.1016/j.energy.2021.120205 |
21. |
Huang, J, Obracht-Prondzynska, H, Kamrowska-Zaluska, D, Sun, Y & Li, L 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’, Landscape and Urban Planning, vol. 206, pp. 103977. https://doi.org/10.1016/j.landurbplan.2020.103977 |
22. |
Hong, N, Li, L, Yao, W, Zhao, Y, Yi, C, Lin, J & Tsui, KL 2020, ‘High-Speed Rail Suspension System Health Monitoring Using Multi-Location Vibration Data’, IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 7, pp. 2943-2955. https://doi.org/10.1109/TITS.2019.2921785 |
23. |
Wang, X, Li, L & Xie, M 2020, ‘An unpunctual preventive maintenance policy under two-dimensional warranty’, European Journal of Operational Research, vol. 282, no. 1, pp. 304-318. https://doi.org/10.1016/j.ejor.2019.09.025 |
24. |
Li, C, Wang, X, Li, L, Xie, M & Wang, X 2020, ‘On dynamically monitoring aggregate warranty claims for early detection of reliability problems’, IISE Transactions, vol. 52, no. 5, pp. 568-587 . https://doi.org/10.1080/24725854.2019.1647477 |
25. |
Wang, Y, Zhan, J, Xu, X, Li, L, Chen, P & Hansen, M 2019, ‘Measuring the resilience of an airport network’, Chinese Journal of Aeronautics, vol. 32, no. 12, pp. 2694-2705. https://doi.org/10.1016/j.cja.2019.08.023 |
26. |
Wang, X, He, K, He, Z, Li, L & Xie, M 2019, ‘Cost analysis of a piece-wise renewing free replacement warranty policy’, Computers & Industrial Engineering, vol. 135, pp. 1047-1062. https://doi.org/10.1016/j.cie.2019.07.015 |
27. |
Wang, X, Li, L & Xie, M 2019, ‘Optimal preventive maintenance strategy for leased equipment under successive usage-based contracts’, International Journal of Production Research, vol. 57, no. 18, pp. 5705–5724. https://doi.org/10.1080/00207543.2018.1542181 |
28. |
Wang, Y, Li, L & Dang, C 2019, ‘Calibrating Classification Probabilities with Shape-Restricted Polynomial Regression’, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41, no. 8, pp. 1813-1827. https://doi.org/10.1109/TPAMI.2019.2895794 |
29. |
Guleria, Y, Cai, Q, Alam, S & Li, L 2019, ‘A Multi-Agent Approach for Reactionary Delay Prediction of Flights’, IEEE Access, vol. 7, 8924720, pp. 181565-181579. https://doi.org/10.1109/ACCESS.2019.2957874 |
30. |
Wang, X, Xie, M & Li, L 2019, ‘On optimal upgrade strategy for second-hand multi-component systems sold with warranty’, International Journal of Production Research, vol. 57, no. 3, pp. 847-864. https://doi.org/10.1080/00207543.2018.1488087 |
31. |
Murça, MCR, Hansman, RJ, Li, L & Ren, P 2018, ‘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’, Transportation Research Part C: Emerging Technologies, vol. 97, pp. 324-347. https://doi.org/10.1016/j.trc.2018.10.021 |
32. |
Ren, P & Li, L 2018, ‘Characterizing air traffic networks via large-scale aircraft tracking data: A comparison between China and the US networks’, Journal of Air Transport Management, vol. 67, pp. 181-196. https://doi.org/10.1016/j.jairtraman.2017.12.005 |
33. |
Li, L, Hansman, RJ, Palacios, R & Welsch, R 2016, ‘Anomaly detection via a Gaussian Mixture Model for flight operation and safety monitoring’, Transportation Research Part C: Emerging Technologies, vol. 64, pp. 45-57. https://doi.org/10.1016/j.trc.2016.01.007 |
34. |
Pei, Y, Wang, W & Li, L 2016, ‘Ranking the vulnerable components of aircraft by considering performance degradations’, Journal of Aircraft, vol. 53, no. 5, pp. 1400-1410. https://doi.org/10.2514/1.C033683 |
35. |
Li, L, Das, S, Hansman, RJ, Palacios, R & Srivastava, AN 2015, ‘Analysis of flight data using clustering techniques for detecting abnormal operations’, Journal of Aerospace Information Systems, vol. 12, no. 9, pp. 587-598. https://doi.org/10.2514/1.I010329 |
36. |
Charruaud, F & Li, L 2015, ‘Flight Operations Monitoring through Cluster Analysis: A Case Study’, IEEE Intelligent Systems, vol. 30, no. 6, pp. 24-29. |
Conference Papers
1. |
CHOW, AHF, LO, SM & LI, L 2019, TRANSPORT AND SMART CITIES: Proceedings of the 24th International Conference of Hong Kong Society for Transportation Studies (HKSTS). Hong Kong Society for Transportation Studies, Hong Kong. |
2. |
He, F, Li, L, Zhao, W & Xiao, G 2018, Aircraft Mass Estimation using Quick Access Recorder Data. in 2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC) Proceedings., 8569866, AIAA/IEEE Digital Avionics Systems Conference – Proceedings, vol. 2018-September, IEEE, 37th AIAA/IEEE Digital Avionics Systems Conference (DASC 2018), London, United Kingdom, 23/09/18. https://doi.org/10.1109/DASC.2018.8569866 |
3. |
Hong, N & Li, L 2018, A Data-Driven Fuel Consumption Estimation Model for Airspace Redesign Analysis. in 2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC) Proceedings., 8569564, AIAA/IEEE Digital Avionics Systems Conference – Proceedings, vol. 2018-September, IEEE, 37th AIAA/IEEE Digital Avionics Systems Conference (DASC 2018), London, United Kingdom, 23/09/18. https://doi.org/10.1109/DASC.2018.8569564 |
4. |
Zhao, W, He, F, Li, L & Xiao, G 2018, An Adaptive Online Learning Model for Flight Data Cluster Analysis. in 2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC) Proceedings ., 8569600, AIAA/IEEE Digital Avionics Systems Conference – Proceedings, vol. 2018-September, IEEE, 37th AIAA/IEEE Digital Avionics Systems Conference (DASC 2018), London, United Kingdom, 23/09/18. https://doi.org/10.1109/DASC.2018.8569600 |
5. |
Xu, P, Yao, W, Zhao, Y, Yi, C, Li, L, Lin, J & Tsui, KL 2018, Condition monitoring of wheel wear for high-speed trains: A data-driven approach. in 2018 IEEE International Conference on Prognostics and Health Management (ICPHM)., 8448864, IEEE International Conference on Prognostics and Health Management, ICPHM, IEEE, 2018 IEEE International Conference on Prognostics and Health Management (ICPHM 2018), Seattle, United States, 11/06/18. https://doi.org/10.1109/ICPHM.2018.8448864 |
6. |
Huang, J, ZHANG, Q, LI, L, Yang, Y, CHIARADIA, A, Pryor, M & Webster, C 2016, Happiness and High-rise Living: Sentiment Analysis of Geo-Located Twitter Data in Hong Kong’s Housing Estates. in Proceedings of the 52nd ISOCARP Congress. Durban, South Africa, pp. 380-387. |
7. |
Das, S, Li, L, Srivastava, AN & John Hansman, R 2012, Comparison of algorithms for anomaly detection in flight Recorder data of airline operations. in 12th AIAA Aviation Technology, Integration and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. 12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Indianapolis, IN, United States, 17/09/12. |
8. |
Li, L, Gariel, M, Hansman, RJ & Palacios, R 2011, Anomaly detection in onboard-recorded flight data using cluster analysis. in AIAA/IEEE Digital Avionics Systems Conference – Proceedings., 6096068, pp. 4A41-4A411, 30th Digital Avionics Systems Conference – Closing the Generation Gap: Increasing Capability for Flight Operations among Legacy, Modern and Uninhabited Aircraft, DASC 2011, Seattle, WA, United States, 16/10/11. https://doi.org/10.1109/DASC.2011.6096068 |
9. |
Li, L, Cho, H, Hansman, RJ & Palacios, R 2010, Aircraft-based complexity assessment for radar controllers in the multi-sector planner experiment. in 10th AIAA Aviation Technology, Integration and Operations Conference 2010, ATIO 2010. vol. 1, 10th AIAA Aviation Technology, Integration and Operations Conference 2010, ATIO 2010, Ft. Worth, TX, United States, 13/09/10. https://doi.org/10.2514/6.2010-9005 |
10. |
Histon, J, Li, L & Hansman, RJ 2010, Airspace structure, future ATC systems, and controller complexity reduction. in AIAA/IEEE Digital Avionics Systems Conference – Proceedings., 5655354, pp. 4.A.41-4.A.414, 29th Digital Avionics Systems Conference: Improving Our Environment through Green Avionics and ATM Solutions, DASC 2010, Salt Lake City, UT, United States, 3/10/10. https://doi.org/10.1109/DASC.2010.5655354 |
11. |
de Albuquerque Filho, EAF, Trabasso, LG, Scarpel, R, Hansman, RJ & Li, L 2010, Combining ATC subjective cognitive complexity evaluation metrics in a single indicator. in 10th AIAA Aviation Technology, Integration and Operations Conference 2010, ATIO 2010. vol. 1, 10th AIAA Aviation Technology, Integration and Operations Conference 2010, ATIO 2010, Ft. Worth, TX, United States, 13/09/10. https://doi.org/10.2514/6.2010-9006 |
12. |
Donaldson, AD, Dorbian, CS, He, C, Li, L, Lovegren, JA, Pyrgiotis, N & Simaiakis, I 2010, Parametric design of low emission hybrid-lift cargo aircraft. in 48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition., 2010-1395, 48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition, Orlando, FL, United States, 4/01/10. |
Patents
1. |
CHARRUAUD, F, LI, L & ZHAO, W Apr. 12 2022, Method of Presenting Flight Data of an Aircraft and a Graphical User Interface for Use with the Same, Patent No. US11,299,288. |
2. |
HE, F, LI, L & ZHANG, L Sep. 07 2021, Grid Based Path Search Method for UAV Delivery operations in Urban Environment. |
3. |
HE, F, LI, L, ZHANG, L & HE, X Sep. 07 2021, Route Network Planning for Drone Logistics in Urban Environment. |