1. Brennan Miller, Abdul Abouti, Erika.Ardiles-Cruz, Yan Lu, “Physics-Informed Deep Learning with GLCM-Integrated Loss for Building Damage Assessment Using Remote Sensing”, IEEE 26th International Conference on Information Reuse and Integration for Data Science, Aug 6-8, 2025, San Jose, CA
2. Shen, Yuying, Lu, Yan, Turner, Carlene, & Turner, Claude. “Cyberbullying Victimization among Adolescents: Machine Learning Analysis of Survey Data.” 2025 39th International RAIS Conference on Social Science & Humanities, April 17 – 18, Princeton University, NJ
3. Yuying Shen, Yan Lu, Carlene Turner, Claude Turner, Cyberbullying Victimization among Adolescents: Machine Learning Analysis of Survey Data , RAIS Journal for Social Sciences: Vol. 9 No. 1 (2025): RAIS Journal for Social Sciences
4. Yan Lu, Jiang Li, “RS-ScaleGAN: a hierarchical multi-scale gan network for data augmentation in remote sensing”, 2025 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2025)
5. Yan Lu, Joshua Prinzel, Mason Beckmeyer, Erika.Ardiles-Cruz, “Fast and Few: Prototypical Networks for Real-Time Post-Disaster Damage Assessment in Disaster Zones,” Accepted for Oral presentation by SPIE Artificial Intelligence and Image and Signal Processing for Remote Sensing XXXI conference
6. N. A. Nipa, Y. Lu and S. Shetty, "U-Net Based Disaster Damage Detection Through Semantic Segmentation," 2023 International Symposium on Networks, Computers and Communications (ISNCC), Doha, Qatar, 2023.
7. L. Yan, Erika Ardiles-Cruz, " Physics-informed Deep Learning for Building Damage Assessment Using Remote Sensing Imagery ", Technique Report, Air Force Research Lab, Rome, NY, Aug 2023.
8. L. Kang, Rafael. Diaz, Y. Lu. "A Data-Driven Cyber Physical Security Vulnerability Assessment System for Autonomous Driving in Port Networks" IEEE Transactions on Intelligent Transportation System, under review, 2023.
9. L. Yan, Erika Ardiles-Cruz, “Learning a Hierarchical Multi-Scale Generative Adversarial Network for Building Damage Estimation and Disaster Recovery using Remote Sensing Images”, Technique Report, Air Force Research Lab, Rome, NY, Aug. 2022.
10. L. Yan, Sachin Shetty, “Towards AI Robustness Multi-Agent Adversarial Planning in Chinese Checker”, Winter Simulation Conference, Dec. 2022.
11. L. Yan, Benjamin Ritz. “Towards AI Robustness Multi-Agent Adversarial Planning in Game Play”, Technique Report, Air Force Research Lab, Rome, NY, Aug. 2021.
12. L. Yan and Sachin Shetty. "Multi-Class Malware Classification Using Deep Residual Network with Non-SoftMax Classifier," In proceedings of 2021 IEEE 22nd International Conference on Information Reuse and Integration for Data Science, Aug. 10-12, 2021, Virtual Conference.
13. L. Yan, Koperski K, Kwan C, Li J. Deep Learning for Effective Refugee Tent Extraction Near Syria-Jordan Border. IEEE Geoscience and Remote Sensing Letters. Jun 24, 2020. (Reported in IEEE Spectrum:https://spectrum.ieee.org/new-ai-estimates-the-size-of-remote-refugee-camps-using-satellite-data )
14. Ayhan, B., Kwan, C., Budavari, B., Kwan, L., Y. Lu., Perez, D., Li, J., Skarlatos, D., and Vlachos, M., 2020. Vegetation Detection Using Deep Learning and Conventional Methods. Remote Sensing, 12(15), p.2502.
15. Kwan, C., Ayhan, B., Budavari, B., Y. Lu., Perez, D., Li, J., Bernabe, S., and Plaza, A., 2020. Deep Learning for Land Cover Classification Using Only a Few Bands. Remote Sensing, 12(12), p.2000.
16. B. Roland, K. Islam, J. Li and Y. Lu. “Data Augmentation with Generative Models for Improved Malware Detection: A Comparative Study,” In IEEE Ubiquitous Computing, Electronics & Mobile Communication Conference. New York, Oct. 2019.
17. L. Yan and J. Li. “Generative Adversarial Network for Improving Deep Learning Based Malware Classification,” Winter Simulation Conference, 2019.
18. L. Yan, J. Graham, and J. Li. “Deep Learning Based Malware Classification Using Deep Residual Network.” In Proceedings of the 2019 Modeling, Simulation and Visualization Student Capstone Conference, Suffolk, Virginia, Apr 18, 2019. (Gene Newman Award)
19. L. Yan, D. Perez, M. Dao, C. Kwan, and J. Li. "Deep learning with synthetic hyperspectral images for improved soil detection in multispectral imagery." In Proceedings of the IEEE Ubiquitous Computing, Electronics & Mobile Communication Conference, New York, NY, USA, pp. 8-10. 2018.
20. P. Daniel, Y. Lu, C. Kwan, Y. Shen, K. Koperski, and J. Li. "Combining satellite images with feature indices for improved change detection." In IEEE Ubiquitous Computing, Electronics & Mobile Communication Conference. 2018.
21. M. Bharat and Y. Lu. "Attack tolerant big data file system." ACM Sigmetrics Big Data Analytics Workshop. 2013.
22. L. Huaxiang, Y. Lu, Z. Tang, S. Wang. “Research on System-Level Dynamic Power Management Using Learning Neural Networks,” The 2006 International Conference on Artificial Intelligence Proceedings, June 26-29, 2006, Las Vegas, US.
23. L. Huaxiang, Y. Lu, Z. Tang and S. Wang. “SOC Dynamic Power Management Using Artificial Neural Network,” Lecture Notes in Computer Science, Pages 555-564, Volume 4221/2006.