Publications

Journal publications

  1. 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 Planning206, 103977. https://doi.org/10.1016/j.landurbplan.2020.103977
  2. Hong, N., Li, L., Yao, W., Zhao, Y., Yi, C., Lin, J., & Tsui, K. L. (2020). High-Speed Rail Suspension System Health Monitoring Using Multi-Location Vibration Data. IEEE Transactions on Intelligent Transportation Systems, 21(7), 2943-2955. https://doi.org/10.1109/TITS.2019.2921785 [PDF]
  3. 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, 52(5), 568-587. https://doi.org/10.1080/24725854.2019.1647477
  4. Wang, X., Li, L., & Xie, M. (2020). An unpunctual preventive maintenance policy under two-dimensional warranty. European Journal of Operational Research282(1), 304-318. https://doi.org/10.1016/j.ejor.2019.09.025
  5. Wang, Y., Zhan, J., Xu, X., Li, L., Chen, P., & Hansen, M. (2019). Measuring the resilience of an airport network. Chinese Journal of Aeronautics. 32(12), 2694-2705. https://doi.org/10.1016/j.cja.2019.08.023
  6. 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, 135, 1047-1062. https://doi.org/10.1016/j.cie.2019.07.015
  7. Wang, X., Li, L., & Xie, M. (2019). Optimal preventive maintenance strategy for leased equipment under successive usage-based contracts. International Journal of Production Research, 57(18), 5705–5724.. https://doi.org/10.1080/00207543.2018.1542181 [PDF]
  8. Wang, Y., Li, L., & Dang, C. (2019). Calibrating Classification Probabilities with Shape-restricted Polynomial Regression. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41(8), 1813-1827. https://doi.org/10.1109/TPAMI.2019.2895794 [PDF]
  9. Guleria, Y., Cai, Q., Alam, S., & Li, L. (2019). A Multi-Agent Approach for Reactionary Delay Prediction of Flights. IEEE Access7, 181565-181579. [8924720]. https://doi.org/10.1109/ACCESS.2019.2957874
  10. 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, 57(3), 847-864. https://doi.org/10.1080/00207543.2018.1488087 [PDF]
  11. Murça, MCR., Hansman, R. J., 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, 97, 324-347. https://doi.org/10.1016/j.trc.2018.10.021 [PDF]
  12. 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, 67, 181–196. https://doi.org/10.1016/j.jairtraman.2017.12.005 [PDF]
  13. Li, L., Hansman, R. J., Palacios, R., & Welsch, R. (2016). Anomaly detection via a Gaussian Mixture Model for flight operation and safety monitoring. Transportation Research Part C: Emerging Technologies, 64, 45–57. https://doi.org/10.1016/j.trc.2016.01.007 [PDF]
  14. Pei, Y., Wang, W., & Li, L. (2016). Ranking the Vulnerable Components of Aircraft by Considering Performance Degradations. Journal of Aircraft, 53(5), 1400–1410. https://doi.org/10.2514/1.C033683 [PDF]
  15. Li, L., Das, S., John Hansman, R., Palacios, R., & Srivastava, A. N. (2015). Analysis of Flight Data Using Clustering Techniques for Detecting Abnormal Operations. Journal of Aerospace Information Systems, 12(9), 587–598. https://doi.org/10.2514/1.I010329 [PDF]
  16. Charruaud, F., & Li, L. (2015). Flight Operations Monitoring through Cluster Analysis: A Case Study. IEEE Intelligent Systems, 30(6), 24–29. https://doi.org/10.1109/MIS.2015.111 [PDF]

Peer-reviewed conference publications

  1. Zhao, W., Li, L., He, F., & Xiao, G. (2018). An Adaptive Online Learning Model for Flight Data Cluster Analysis. In the 2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC), London, United Kingdom, 2018, pp. 1-7. https://doi.org/10.1109/DASC.2018.8569600  [PDF]
  2. He, F., Li, L., Zhao, W., & Xiao, G. (2018). Aircraft Weight Estimation Using Quick Access Recorder Data. In the 2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC), London, United Kingdom, 2018, pp. 1-5. https://doi.org/10.1109/DASC.2018.8569866 [PDF]
  3. Hong, N., & Li, L. (2018). A Data-Driven Fuel Consumption Estimation Model for Airspace Redesign Analysis. In the 2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC), London, United Kingdom, 2018, pp. 1-8. https://doi.org/10.1109/DASC.2018.8569564 [PDF] Best of Session (ATM-D: Analytics) Award
  4. Xu, P., Yao, W., Zhao, Y., Yi, C., Li, L., Lin, J., & Tsui, K. L. (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) (pp. 1–8). Seattle, WA. https://doi.org/10.1109/ICPHM.2018.8448864
  5. 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 the 52nd ISOCARP Congress. (pp. 380 – 387). Durban. South Africa.
  6. Das, S., Li, L., Srivastava, A. N. A., John Hansman, R., & Hansman, R. J. (2012). Comparison of Algorithms for Anomaly Detection in Flight Recorder Data of Airline Operation. In the 12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. Indianapolis, IN. https://doi.org/10.2514/6.2012-5593 [PDF]
  7. Li, L., Gariel, M., Hansman, R. J., & Palacios, R. (2011). Anomaly Detection in Onboard-Recorded Flight Data Using Cluster Analysis. In the 30th IEEE/AIAA Digital Avionics Systems Conference (DASC). Seattle, WA. https://doi.org/10.1109/DASC.2011.6096068 [PDF]
  8. Li, L., Cho, H., Hansman, R. J., & Palacios, R. (2010). Aircraft-based complexity assessment for radar controllers in the multi-sector planner experiment. In 10th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference (pp. 1–9). Fort Worth, TX. https://doi.org/978-1-60086-749-1 [PDF]
  9. Histon, J., Li, L., & Hansman, R. J. (2010). Airspace structure, future ATC systems, and controller complexity reduction. In the 29th AIAA/IEEE Digital Avionics Systems Conference (DASC). Seattle, WA. https://doi.org/10.1109/DASC.2010.5655354 [PDF]
  10. De Albuquerque Filho, E. A. F., Trabasso, L., Scarpel, Hansman, R. J., Li, L., (2010). Combining ATC Subjective Cognitive Complexity Evaluation Metrics in a Single Indicator. In the 10th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference (Vol. 1, AIAA-2010-9006). Fort Worth, TX. https://doi.org/10.2514/6.2010-9006 [Link]
  11. Donaldson, A. D., Dorbian, C. S., He, C., Li, L., Lovegren, J. A., Pyrgiotis, N., & Simaiakis, I. (2010). Parametric Design of Low Emission Hybrid-lift Cargo Aircraft. In the 48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition (AIAA-2010-1395). Orlando, Florida. [PDF]

US Patents

  1. CHARRUAUD, F., LI, L., & ZHAO, W. (Accepted/In press). A Method of Presenting Flight Data of an Aircraft and a Graphical User Interface for Use with the Same.
  2. HE, F., LI, L., & ZHANG, L. (Accepted/In press). Grid based path search method for UAV delivery operations in urban environment.
  3. HE, F., LI, L., ZHANG, L., & HE, X. (Accepted/In press). Route Network Planning for Drone Logistics in Urban Environment.

Pre-print

  1. Zhao, W., Li, L., Alam, S., & Wang, Y. (2020). An Incremental Clustering Method for Anomaly Detection in Flight Data. arXiv preprint arXiv:2005.09874.
  2. Zhu, X., & Li, L. (2020). Improved Flight Time Predictions for Fuel Loading Decisions of Scheduled Flights with a Deep Learning Approach. arXiv preprint arXiv:2005.05684.
  3. Lin, Y., Li, L., Ren, P., Wang, Y., & Szeto, W. Y. (2020). From Aircraft Tracking Data to Network Delay Model: A Data-Driven Approach Considering En-Route Congestion. arXiv preprint arXiv:2011.05645.
  4. He, X., He, F., Zhu, X., & Li, L. (2020). Data-driven Method for Estimating Aircraft Mass from Quick Access Recorder using Aircraft Dynamics and Multilayer Perceptron Neural Network. arXiv preprint arXiv:2012.05907.