Yu Zheng

Pan, M., Huang, W., Li, Y., Zhou, X., Liu, Z., Bao, J., … Luo, J. (2020). Is Reinforcement Learning the Choice of Human Learners?: A Case Study of Taxi Drivers. In Proceedings of the 28th International Conference on Advances in Geographic Information Systems (p. 10). http://doi.org/10.1145/3397536.3422246

He, T., Bao, J., Li, R., Ruan, S., Li, Y., Song, L., … Zheng, Y. (2020). What is the Human Mobility in a New City: Transfer Mobility Knowledge Across Cities. In The Web Conference 2020 (p. 11). http://doi.org/10.1145/3366423.3380210

Ruan, S., Bao, J., Liang, Y., Li, R., He, T., Meng, C., … Zheng, Y. (2020). Dynamic Public Resource Allocation Based on Human Mobility Prediction. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 4(1), 22. http://doi.org/10.1145/3380986

Ding, Y., Zhou, X., Wu, G., Li, Y., Bao, J., Zheng, Y., & Luo, J. (2019). Mining Spatio-temporal Reachable Regions With Multiple Sources over Massive Trajectory Data. IEEE Transactions on Knowledge and Data Engineering, 1. http://doi.org/10.1109/TKDE.2019.2959531

He, T., Bao, J., Ruan, S., Li, R., Li, Y., He, H., & Zheng, Y. (2019). Interactive Bike Lane Planning using Sharing Bikes’ Trajectories. IEEE Transactions on Knowledge and Data Engineering, 1. http://doi.org/10.1109/TKDE.2019.2907091

Meng, C., Yi, X., Su, L., Gao, J., & Zheng, Y. (2017). City-wide Traffic Volume Inference with Loop Detector Data and Taxi Trajectories. In Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (p. 10). http://doi.org/10.1145/3139958.3139984

Zhu, Z., Ren, H., Ruan, S., Han, B., Bao, J., Li, R., … Zheng, Y. (2021). ICFinder: A Ubiquitous Approach to Detecting Illegal Hazardous Chemical Facilities with Truck Trajectories. In SIGSPATIAL ’21: Proceedings of the 29th International Conference on Advances in Geographic Information Systems (p. 4). http://doi.org/10.1145/3474717.3483633

Ren, H., Ruan, S., Li, Y., Bao, J., Meng, C., Li, R., & Zheng, Y. (2021). MTrajRec: Map-Constrained Trajectory Recovery via Seq2Seq Multi-task Learning. In KDD ’21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (p. 10). http://doi.org/10.1145/3447548.3467238