| 2025 | MASS | Vision-Language Modeling for Scene Understanding and Reasoning of Vehicle-to-X Interactions. | Hao Wang, Suining He |
| 2023 | ICDE | Extreme-Aware Local-Global Attention for Spatio-Temporal Urban Mobility Learning. | Huiqun Huang, Suining He, Mahan Tabatabaie |
| 2023 | IROS | Interaction-Aware and Hierarchically-Explainable Heterogeneous Graph-based Imitation Learning for Autonomous Driving Simulation. | Mahan Tabatabaie, Suining He, Kang G. Shin |
| 2022 | EWSN | Towards Dynamic Crowd Mobility Learning and Meta Model Updates for A Smart Connected Campus. | Xi Yang, Suining He, Mahan Tabatabaie, Bing Wang |
| 2022 | INFOCOM | A Comparative Approach to Resurrecting the Market of MOD Vehicular Crowdsensing. | Chaocan Xiang, Yaoyu Li, Yanlin Zhou, Suining He, Yuben Qu, Zhenhua Li, Liangyi Gong, Chao Chen |
| 2022 | WWW | Socially-Equitable Interactive Graph Information Fusion-based Prediction for Urban Dockless E-Scooter Sharing. | Suining He, Kang G. Shin |
| 2022 | SENSYS | Cross-zone and extreme-aware mobility learning of crowd interactions with built environments. | Suining He, Bing Wang, Kang G. Shin, Mahan Tabatabaie |
| 2021 | RTSS | Concurrent Order Dispatch for Instant Delivery with Time-Constrained Actor-Critic Reinforcement Learning. | Baoshen Guo, Shuai Wang, Yi Ding, Guang Wang, Suining He, Desheng Zhang, Tian He |
| 2020 | MASS | Station Correlation Attention Learning for Data-driven Bike Sharing System Usage Prediction. | Xi Yang, Suining He, Huiqun Huang |
| 2020 | WWW | Towards Fine-grained Flow Forecasting: A Graph Attention Approach for Bike Sharing Systems. | Suining He, Kang G. Shin |
| 2020 | WWW | Dynamic Flow Distribution Prediction for Urban Dockless E-Scooter Sharing Reconfiguration. | Suining He, Kang G. Shin |
| 2019 | GLOBECOM | Indoor Localization with Spatial and Temporal Representations of Signal Sequences. | Tao He, Qun Niu, Suining He, Ning Liu |
| 2019 | INFOCOM | Crowd-Flow Graph Construction and Identification with Spatio-Temporal Signal Feature Fusion. | Suining He, Kang G. Shin |
| 2019 | WWW | Spatio-Temporal Capsule-based Reinforcement Learning for Mobility-on-Demand Network Coordination. | Suining He, Kang G. Shin |
| 2018 | CoNEXT | Wireless CSI-based head tracking in the driver seat. | Xiufeng Xie, Kang G. Shin, Hamed Yousefi, Suining He |
| 2018 | INFOCOM | Steering Crowdsourced Signal Map Construction via Bayesian Compressive Sensing. | Suining He, Kang G. Shin |
| 2018 | MOBIHOC | (Re)Configuring Bike Station Network via Crowdsourced Information Fusion and Joint Optimization. | Suining He, Kang G. Shin |
| 2017 | EWSN | Efficient Sequence Matching and Path Construction for Geomagnetic Indoor Localization. | Hang Wu, Suining He, S.-H. Gary Chan |
| 2017 | MASS | A Graphical Model Approach for Efficient Geomagnetism-Pedometer Indoor Localization. | Hang Wu, Suining He, S.-H. Gary Chan |
| 2017 | SECON | Towards Crowdsourced Signal Map Construction via Implicit Interaction of IoT Devices. | Suining He, S.-H. Gary Chan |
| 2016 | MSWIM | Updating Wireless Signal Map with Bayesian Compressive Sensing. | Bo Yang, Suining He, S.-H. Gary Chan |
| 2015 | INFOCOM | Fusing noisy fingerprints with distance bounds for indoor localization. | Suining He, S.-H. Gary Chan, Lei Yu, Ning Liu |
| 2015 | SENSYS | Contour-based Trilateration for Indoor Fingerprinting Localization. | Suining He, Tianyang Hu, S.-H. Gary Chan |