APA (7th ed.) Citation

Li, L., Wang, X., & Qin, F. (2020, November). EnergyDx: Diagnosing Energy Anomaly in Mobile Apps by Identifying the Manifestation Point. Proceedings of the International Conference on Distributed Computing Systems, 256-266. https://doi.org/10.1109/ICDCS47774.2020.00046

Chicago Style (17th ed.) Citation

Li, Li, Xiaorui Wang, and Feng Qin. "EnergyDx: Diagnosing Energy Anomaly in Mobile Apps by Identifying the Manifestation Point." Proceedings of the International Conference on Distributed Computing Systems Nov. 2020: 256-266. https://doi.org/10.1109/ICDCS47774.2020.00046.

MLA (9th ed.) Citation

Li, Li, et al. "EnergyDx: Diagnosing Energy Anomaly in Mobile Apps by Identifying the Manifestation Point." Proceedings of the International Conference on Distributed Computing Systems, Nov. 2020, pp. 256-266, https://doi.org/10.1109/ICDCS47774.2020.00046.