Yanhua Li

Ding, Y., Zhou, X., Bao, H., Li, Y., Hamann, C., Spears, S., & Yuan, Z. (2020). Cycling-Net: A Deep Learning Approach to Predicting Cyclist Behaviors from Geo-Referenced Egocentric Video Data. In Proceedings of the 28th International Conference on Advances in Geographic Information Systems (p. 10). http://doi.org/10.1145/3397536.3422258

Zhang, Y., Li, Y., Zhou, X., & Luo, J. (2020). cST-ML: Continuous Spatial-Temporal Meta-Learning for Traffic Dynamics Prediction. In 2020 IEEE International Conference on Data Mining (ICDM) (p. 6). http://doi.org/10.1109/icdm50108.2020.00187

Zhang, X., Li, Y., Zhou, X., Zhang, Z., & Luo, J. (2020). TrajGAIL: Trajectory Generative Adversarial Imitation Learning for Long-Term Decision Analysis. In 2020 IEEE International Conference on Data Mining (ICDM) (p. 10). http://doi.org/10.1109/ICDM50108.2020.00089

Pan, M., Huang, W., Li, Y., Zhou, X., & Luo, J. (2020). xGAIL: Explainable Generative Adversarial Imitation Learning for Explainable Human Decision Analysis. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (p. 10). http://doi.org/10.1145/3394486.3403186

Zhang, Y., Li, Y., Zhou, X., Kong, X., & Luo, J. (2020). Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (p. 11). http://doi.org/10.1145/3394486.3403127

Ren, H., Pan, M., Li, Y., Zhou, X., & Luo, J. (2020). ST-SiameseNet: Spatio-Temporal Siamese Networks for Human Mobility Signature Identification. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (p. 10). http://doi.org/10.1145/3394486.3403183

Yang, M., Li, Y., Zhou, X., Lu, H., Tian, Z., & Luo, J. (2020). Inferring Passengers’ Interactive Choices on Public Transits via MA-AL: Multi-Agent Apprenticeship Learning. In The Web Conference 2020 (p. 11). http://doi.org/10.1145/3366423.3380235

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

Ye, W., Hu, X., Liu, T., Sun, R., Li, Y., & Zhang, Z.-L. (2022). 5GNN: extrapolating 5G measurements through GNNs. In Proceedings of the 1st International Workshop on Graph Neural Networking (GNNet ’22: ) (p. 6). http://doi.org/10.1145/3565473.3569186