Yan Li

First name
Yan
Last name
Li
Wang, H. ., Tang, Z. ., Li, Y. ., & Zhang, P. . (2019). Reachability Analysis of Dual Active Bridge DC-DC Converters. In 2019 IEEE Energy Conversion Congress and Exposition (ECCE) (p. 6). http://doi.org/10.1109/ECCE.2019.8913224
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Wan, W. ., Li, Y. ., Yan, B. ., Bragin, M. A., Philhower, J. ., Zhang, P. ., & Luh, P. B. (2019). Active Fault Management for Networked Microgrids. In 2019 IEEE Power & Energy Society General Meeting (PESGM) (p. 5). http://doi.org/10.1109/PESGM40551.2019.8973843
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Wang, L. ., Pepin, L. ., Li, Y. ., Miao, F. ., Herzberg, A. ., & Zhang, P. . (2019). Securing Power Distribution Grid Against Power Botnet Attacks. In 2019 IEEE Power & Energy Society General Meeting (PESGM) (p. 5). http://doi.org/10.1109/PESGM40551.2019.8974098
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Li, Y. ., Qin, Y. ., Zhang, P. ., & Herzberg, A. . (2019). SDN-Enabled Cyber-Physical Security in Networked Microgrids. IEEE Transactions on Sustainable Energy, 10(3), 10. http://doi.org/10.1109/TSTE.2018.2889451
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Li, Y. ., Zhang, P. ., & Kang, C. . (2019). Compositional Power Flow for Networked Microgrids. IEEE Power and Energy Technology Systems Journal, 6(1), 85. http://doi.org/10.1109/JPETS.2019.2897780
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Wang, L. ., Zhu, D. ., Dong, M. ., & Li, Y. . (2017). Modeling Over-Dispersion for Network Data Clustering. In 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA) (p. 8). http://doi.org/10.1109/ICMLA.2017.0-180
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Wang, L. ., Li, Y. ., Zhou, J. ., Zhu, D. ., & Ye, J. . (2017). Multi-task Survival Analysis. In 2017 IEEE International Conference on Data Mining (ICDM) (p. 10). http://doi.org/10.1109/ICDM.2017.58
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Xie, Y. ., Shekhar, S. ., & Li, Y. . (2023). Statistically-Robust Clustering Techniques for Mapping Spatial Hotspots: A Survey. ACM Computing Surveys, 55(2), 38. http://doi.org/10.1145/3487893
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Farhadloo, M. ., Molnar, C. ., Luo, G. ., Li, Y. ., Shekhar, S. ., Maus, R. L., … Moore, R. . (2022). SAMCNet: Towards a Spatially Explainable AI Approach for Classifying MxIF Oncology Data. In In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (p. 11). http://doi.org/10.1145/3534678.3539168
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Sharma, A. ., Farhadloo, M. ., Li, Y. ., Gupta, J. ., Kulkarni, A. ., & Shekhar, S. . (2022). Understanding COVID-19 Effects on Mobility: A Community-Engaged Approach. AGILE: GIScience Series, 3, 15. http://doi.org/10.5194/agile-giss-3-14-2022
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