Sectjunction: Wi-Fi indoor localization based on junction of signal sectors. - Suining He; S.-H. Gary Chan (ICC, 2014)

Calibration-free fusion of step counter and wireless fingerprints for indoor localization. - Suining He; S.-H. Gary Chan; Lei Yu; Ning Liu (UbiComp, 2015)

Fusing noisy fingerprints with distance bounds for indoor localization. - Suining He; S.-H. Gary Chan; Lei Yu; Ning Liu (INFOCOM, 2015)

Contour-based Trilateration for Indoor Fingerprinting Localization. - Suining He; Tianyang Hu; S.-H. Gary Chan (SenSys, 2015)

Towards area classification for large-scale fingerprint-based system. - Suining He; Jiajie Tan; S.-H. Gary Chan (UbiComp, 2016)

Updating Wireless Signal Map with Bayesian Compressive Sensing. - Bo Yang 027; Suining He; S.-H. Gary Chan (MSWiM, 2016)

Wi-Fi Fingerprint-Based Indoor Positioning: Recent Advances and Comparisons. - Suining He; S.-H. Gary Chan (IEEE Commun. Surv. Tutorials, 2016)

Chameleon: Survey-Free Updating of a Fingerprint Database for Indoor Localization. - Suining He; Bo Ji; S.-H. Gary Chan (IEEE Pervasive Comput., 2016)

Tilejunction: Mitigating Signal Noise for Fingerprint-Based Indoor Localization. - Suining He; S.-H. Gary Chan (IEEE Trans. Mob. Comput., 2016)

Efficient Sequence Matching and Path Construction for Geomagnetic Indoor Localization. - Hang Wu; Suining He; S.-H. Gary Chan (EWSN, 2017)

A Graphical Model Approach for Efficient Geomagnetism-Pedometer Indoor Localization. - Hang Wu; Suining He; S.-H. Gary Chan (MASS, 2017)

Towards Crowdsourced Signal Map Construction via Implicit Interaction of IoT Devices. - Suining He; S.-H. Gary Chan (SECON, 2017)

Toward Practical Deployment of Fingerprint-Based Indoor Localization. - Suining He; Tianyang Hu; S.-H. Gary Chan (IEEE Pervasive Comput., 2017)

INTRI: Contour-Based Trilateration for Indoor Fingerprint-Based Localization. - Suining He; S.-H. Gary Chan (IEEE Trans. Mob. Comput., 2017)

Indoor Localization and Automatic Fingerprint Update with Altered AP Signals. - Suining He; Wenbin Lin; S.-H. Gary Chan (IEEE Trans. Mob. Comput., 2017)

Wireless CSI-based head tracking in the driver seat. - Xiufeng Xie; Kang G. Shin; Hamed Yousefi 001; Suining He (CoNEXT, 2018)

RecNet: A Convolutional Network for Efficient Radiomap Reconstruction. - Qun Niu; Ying Nie; Suining He; Ning Liu; Xiaonan Luo (ICC, 2018)

Steering Crowdsourced Signal Map Construction via Bayesian Compressive Sensing. - Suining He; Kang G. Shin (INFOCOM, 2018)

(Re)Configuring Bike Station Network via Crowdsourced Information Fusion and Joint Optimization. - Suining He; Kang G. Shin (MobiHoc, 2018)

Geomagnetism for Smartphone-Based Indoor Localization: Challenges, Advances, and Comparisons. - Suining He; Kang G. Shin (ACM Comput. Surv., 2018)

SLAC: Calibration-Free Pedometer-Fingerprint Fusion for Indoor Localization. - Suining He; S.-H. Gary Chan; Lei Yu; Ning Liu (IEEE Trans. Mob. Comput., 2018)

Indoor Localization with Spatial and Temporal Representations of Signal Sequences. - Tao He; Qun Niu; Suining He; Ning Liu (GLOBECOM, 2019)

Crowd-Flow Graph Construction and Identification with Spatio-Temporal Signal Feature Fusion. - Suining He; Kang G. Shin (INFOCOM, 2019)

Spatio-Temporal Capsule-based Reinforcement Learning for Mobility-on-Demand Network Coordination. - Suining He; Kang G. Shin (WWW, 2019)

DeepNavi: A Deep Signal-Fusion Framework for Accurate and Applicable Indoor Navigation. - Qun Niu; Ning Liu; Jianjun Huang 005; Yangze Luo; Suining He; Tao He; S.-H. Gary Chan; Xiaonan Luo (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

Spatio-temporal Adaptive Pricing for Balancing Mobility-on-Demand Networks. - Suining He; Kang G. Shin (ACM Trans. Intell. Syst. Technol., 2019)

Efficient Locality Classification for Indoor Fingerprint-Based Systems. - Ka Ho Chow; Suining He; Jiajie Tan; S.-H. Gary Chan (IEEE Trans. Mob. Comput., 2019)

Maxlifd: Joint Maximum Likelihood Localization Fusing Fingerprints and Mutual Distances. - Suining He; S.-H. Gary Chan; Lei Yu; Ning Liu (IEEE Trans. Mob. Comput., 2019)

Resource-efficient and Automated Image-based Indoor Localization. - Qun Niu; Mingkuan Li; Suining He; Chengying Gao; S.-H. Gary Chan; Xiaonan Luo (ACM Trans. Sens. Networks, 2019)

Efficient Indoor Localization Based on Geomagnetism. - Hang Wu; Ziliang Mo; Jiajie Tan; Suining He; S.-H. Gary Chan (ACM Trans. Sens. Networks, 2019)

Station Correlation Attention Learning for Data-driven Bike Sharing System Usage Prediction. - Xi Yang; Suining He; Huiqun Huang (MASS, 2020)

Towards Fine-grained Flow Forecasting: A Graph Attention Approach for Bike Sharing Systems. - Suining He; Kang G. Shin (WWW, 2020)

Dynamic Flow Distribution Prediction for Urban Dockless E-Scooter Sharing Reconfiguration. - Suining He; Kang G. Shin (WWW, 2020)

Towards Dynamic Urban Bike Usage Prediction for Station Network Reconfiguration. - Xi Yang; Suining He (CoRR, 2020)

MAIL: Multi-Scale Attention-Guided Indoor Localization Using Geomagnetic Sequences. - Qun Niu; Tao He; Ning Liu; Suining He; Xiaonan Luo; Fan Zhou 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

Reinforced Feature Extraction and Multi-Resolution Learning for Driver Mobility Fingerprint Identification. - Mahan Tabatabaie; Suining He; Xi Yang (SIGSPATIAL/GIS, 2021)

Concurrent Order Dispatch for Instant Delivery with Time-Constrained Actor-Critic Reinforcement Learning. - Baoshen Guo; Shuai Wang 008; Yi Ding 011; Guang Wang 001; Suining He; Desheng Zhang; Tian He 001 (RTSS, 2021)

Multi-Head Spatio-Temporal Attention Mechanism for Urban Anomaly Event Prediction. - Huiqun Huang; Xi Yang; Suining He (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

Spatio-Temporal Graph Attention Embedding for Joint Crowd Flow and Transition Predictions: A Wi-Fi-based Mobility Case Study. - Xi Yang; Suining He; Bing Wang; Mahan Tabatabaie (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

Incentivizing Platform-User Interactions for Crowdsensing. - Chaocan Xiang; Suining He; Kang G. Shin; Yuben Qu; Panlong Yang (IEEE Internet Things J., 2021)

Indoor Localization With Adaptive Signal Sequence Representations. - Ning Liu; Tao He; Suining He; Qun Niu (IEEE Trans. Veh. Technol., 2021)

Towards Dynamic Crowd Mobility Learning and Meta Model Updates for A Smart Connected Campus. - Xi Yang; Suining He; Mahan Tabatabaie; Bing Wang (EWSN, 2022)

A Comparative Approach to Resurrecting the Market of MOD Vehicular Crowdsensing. - Chaocan Xiang; Yaoyu Li; Yanlin Zhou; Suining He; Yuben Qu; Zhenhua Li 001; Liangyi Gong; Chao Chen 004 (INFOCOM, 2022)

Cross-zone and extreme-aware mobility learning of crowd interactions with built environments. - Suining He; Bing Wang; Kang G. Shin; Mahan Tabatabaie (BuildSys, 2022)

Socially-Equitable Interactive Graph Information Fusion-based Prediction for Urban Dockless E-Scooter Sharing. - Suining He; Kang G. Shin (WWW, 2022)

Towards Spatio-Temporal Cross-Platform Graph Embedding Fusion for Urban Traffic Flow Prediction. - Mahan Tabatabaie; James Maniscalco; Connor Lynch; Suining He (CoRR, 2022)

Pervasive Pose Estimation for Fall Detection. - Jiaqing Luo; Ruiyu Bai; Suining He; Kang G. Shin (ACM Trans. Comput. Heal., 2022)

Naturalistic E-Scooter Maneuver Recognition with Federated Contrastive Rider Interaction Learning. - Mahan Tabatabaie; Suining He (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

Driver Maneuver Identification with Multi-Representation Learning and Meta Model Update Designs. - Mahan Tabatabaie; Suining He; Xi Yang (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

Information Fusion for (Re)Configuring Bike Station Networks With Crowdsourcing. - Suining He; Kang G. Shin (IEEE Trans. Knowl. Data Eng., 2022)

Spatio-Temporal Capsule-Based Reinforcement Learning for Mobility-on-Demand Coordination. - Suining He; Kang G. Shin (IEEE Trans. Knowl. Data Eng., 2022)

Distribution Prediction for Reconfiguring Urban Dockless E-Scooter Sharing Systems. - Suining He; Kang G. Shin (IEEE Trans. Knowl. Data Eng., 2022)

Equity-Aware Cross-Graph Interactive Reinforcement Learning for Bike Station Network Expansion. - Xi Yang; Suining He; Mahan Tabatabaie (SIGSPATIAL/GIS, 2023)

Extreme-Aware Local-Global Attention for Spatio-Temporal Urban Mobility Learning. - Huiqun Huang; Suining He; Mahan Tabatabaie (ICDE, 2023)

Interaction-Aware and Hierarchically-Explainable Heterogeneous Graph-based Imitation Learning for Autonomous Driving Simulation. - Mahan Tabatabaie; Suining He; Kang G. Shin (IROS, 2023)

Reusing Delivery Drones for Urban Crowdsensing. - Chaocan Xiang; Yanlin Zhou; Haipeng Dai 001; Yuben Qu; Suining He; Chao Chen 004; Panlong Yang (IEEE Trans. Mob. Comput., 2023)

Interpretable fake news detection with topic and deep variational models. - Marjan Hosseini; Alireza Javadian Sabet; Suining He; Derek Aguiar (Online Soc. Networks Media, 2023)

Cross-Modality Graph-based Language and Sensor Data Co-Learning of Human-Mobility Interaction. - Mahan Tabatabaie; Suining He; Kang G. Shin (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

Adaptive radio map reconstruction via adversarial wireless fingerprint learning. - Weina Jiang; Qun Niu; Suining He; Ning Liu (Neural Comput. Appl., 2023)

VILL: Toward Efficient and Automatic Visual Landmark Labeling. - Qun Niu; Kunxin Zhu; Suining He; Shaoqi Cen; S.-H. Gary Chan; Ning Liu (ACM Trans. Sens. Networks, 2023)

Driver Maneuver Interaction Identification with Anomaly-Aware Federated Learning on Heterogeneous Feature Representations. - Mahan Tabatabaie; Suining He (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

STICAP: Spatio-temporal Interactive Attention for Citywide Crowd Activity Prediction. - Huiqun Huang; Suining He; Xi Yang; Mahan Tabatabaie (ACM Trans. Spatial Algorithms Syst., 2024)

Beyond "Taming Electric Scooters": Disentangling Understandings of Micromobility Naturalistic Riding. - Mahan Tabatabaie; Suining He; Hao Wang 197; Kang G. Shin (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)

Time-Constrained Actor-Critic Reinforcement Learning for Concurrent Order Dispatch in On-Demand Delivery. - Shuai Wang 008; Baoshen Guo; Yi Ding 011; Guang Wang 001; Suining He; Desheng Zhang; Tian He 001 (IEEE Trans. Mob. Comput., 2024)

Toward Ubiquitous Interaction-Attentive and Extreme-Aware Crowd Activity Level Prediction. - Huiqun Huang; Xi Yang; Suining He; Mahan Tabatabaie (ACM Trans. Intell. Syst. Technol., 2024)

Cross-Modality and Equity-Aware Graph Pooling Fusion: A Bike Mobility Prediction Study. - Xi Yang; Suining He; Kang G. Shin; Mahan Tabatabaie; Jing Dai (IEEE Trans. Big Data, 2025)

Micromobility Flow Prediction: A Bike Sharing Station-level Study via Multi-level Spatial-Temporal Attention Neural Network. - Xi Yang; Jiachen Wang; Song Han; Suining He (CoRR, 2025)

Multi-Agent Reinforcement Learning for Dynamic Mobility Resource Allocation with Hierarchical Adaptive Grouping. - Farshid Nooshi; Suining He (CoRR, 2025)

Lessons from A Large Language Model-based Outdoor Trail Recommendation Chatbot with Retrieval Augmented Generation. - Julia Ann Mathew; Suining He (CoRR, 2025)