Suining He

Grabowski, A., & He, S. (2026). Toward A Data-driven Cyberinfrastructure Tool for Urban Micromobility-Friendly Path Planning: A Hartford Study. In . The 34th ACM International Conference on Advances in Geographic Information Systems. Retrieved from https://par.nsf.gov/biblio/10716355
Nooshi, F., & He, S. (2026). Hierarchically-Adaptive Global–Local Grouping for Multi-Agent Reinforcement Learning in Urban Mobility Resource Rebalancing. In . 34th ACM International Conference on Advances in Geographic Information Systems. Retrieved from https://par.nsf.gov/biblio/10716354
Yang, X., He, S., Shin, K. G., Tabatabaie, M., & Dai, J. (2024). Cross-Modality and Equity-Aware Graph Pooling Fusion: A Bike Mobility Prediction Study. IEEE Transactions on Big Data, 16. http://doi.org/10.1109/TBDATA.2024.3414280
Yang, X., He, S., & Tabatabaie, M. (2023). Equity-Aware Cross-Graph Interactive Reinforcement Learning for Bike Station Network Expansion. In Proceedings of ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2023 (p. 12). ACM. http://doi.org/10.1145/3589132.3625588