Conference Papers

Wang, G., Qin, Z., Wang, S., Sun, H., Dong, Z., & Zhang, D. (2021, August). Record: Joint Real-Time Repositioning and Charging for Electric Carsharing with Dynamic Deadlines. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (pp. 3660-3669). (Link, PDF)

Song, Y., Jiang, D., Liu, Y., Qin, Z., Tan, C., & Zhang, D. HERMAS: A Human Mobility Embedding Framework with Large-scale Cellular Signaling Data. (ACM UbiComp 2021, accepted.)

Qin, Z., Xian, Y., Zhang, F., & Zhang, D. (2020). MIMU: Mobile WiFi Usage Inference by Mining Diverse User Behaviors. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 4(4), 1-22. (Link, PDF)

Song, Y., Liu, Y., Qiu, W., Qin, Z., Tan, C., Yang, C., and Zhang, D. (2020). MIFF: Human Mobility Extractions with Cellular Signaling Data under Spatio-temporal Uncertainty. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 4(4), 1-19. (Link, PDF)

Xian, Y., Fu, Z., Zhao, H., Ge, Y., Chen, X., Huang, Q., Geng, S., Qin, Z., G de Melo, S. Muthukrishnan and Zhang, Y. (2020, October). CAFE: Coarse-to-fine neural symbolic reasoning for explainable recommendation. In Proceedings of the 29th ACM International Conference on Information & Knowledge Management (pp. 1645-1654). (Link, PDF)

Qin, Z., Cao, F., Yang, Y., Liu, Y., Wang, S., & Zhang, D. (2020). CellPred: A behavior-aware scheme for cellular data usage prediction. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 4(1), 1-24. (Link, PDF)

Fang, Z., Fu, B., Qin, Z., Zhang, F., & Zhang, D. (2020). PrivateBus: Privacy Identification and Protection in Large-Scale Bus WiFi Systems. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 4(1), 1-23. (Link, PDF)

Qin, Z., Xian, Y., & Zhang, D. (2019, November). A neural networks based caching scheme for mobile edge networks. In Proceedings of the 17th Conference on Embedded Networked Sensor Systems (pp. 408-409). (Link, PDF)

Qin, Z., Fang, Z., Liu, Y., Tan, C., Chang, W., & Zhang, D. (2018, November). EXIMIUS: A measurement framework for explicit and implicit urban traffic sensing. In Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems (pp. 1-14). (Acceptance Rate=15.6%, Link, PDF)

Journal Papers

Wang, G., Qin, Z., Wang, S., Sun, H., Dong, Z., & Zhang, D.. Joint Repositioning and Charging for Efficient Fleet Management of Electric Carsharing with Dynamic Deadlines. (TKDE, submitted)

Qin, Z., Fang, Z., Liu, Y., Tan, C., & Zhang, D. (2021). A Measurement Framework for Explicit and Implicit Urban Traffic Sensing. ACM Transactions on Sensor Networks (TOSN), 17(4), 1-27. (Link ,PDF)

Habibzadeh, H., Boggio-Dandry, A., Qin, Z., Soyata, T., Kantarci, B., & Mouftah, H. T. (2018). Soft sensing in smart cities: Handling 3vs using recommender systems, machine intelligence, and data analytics. IEEE Communications Magazine, 56(2), 78-86. (Link, PDF)

Habibzadeh, H., Qin, Z., Soyata, T., & Kantarci, B. (2017). Large-scale distributed dedicated-and non-dedicated smart city sensing systems. IEEE Sensors Journal, 17(23), 7649-7658. (Link, PDF)

Papers in preparation

Qin, Z. & Zhang, D. Mobile WiFi Deployment in New Cities: A Cross-City Domain Adaptation Scheme.

Qin, Z. & Zhang, D. CUP: Context-aware User Behavior Prediction in Bus WiFi Scenarios.

Qin, Z. & Zhang, D. BISD: Behavior Inference from Large-scale Cellular Signaling Data.

Qin, Z. & Zhang, D. CellPat: Understanding Cellular Networks and User Behaviors from Cellular Signaling Data.

Qin, Z. & Zhang, D. A Measurement Study for a Nationwide Bus WiFi System.