Mining Network Hotspots with Holes: A Summary of Results. - Emre Eftelioglu; Yan Li 049; Xun Tang; Shashi Shekhar 001; James M. Kang; Christopher Farah (GIScience, 2016)

Supply and Demand Aware Synthetic Data Generation for On-demand Traffic with Real-world Characteristics. - Reem Y. Ali; Yan Li 049; Shashi Shekhar 001; Shounak Athavale; Eric D. Marsman (IWCTS@SIGSPATIAL, 2017)

Spatial Ensemble Learning for Heterogeneous Geographic Data with Class Ambiguity: A Summary of Results. - Zhe Jiang 001; Yan Li 049; Shashi Shekhar 001; Lian P. Rampi; Joseph F. Knight (SIGSPATIAL/GIS, 2017)

Transdisciplinary Foundations of Geospatial Data Science. - Yiqun Xie; Emre Eftelioglu; Reem Y. Ali; Xun Tang; Yan Li 049; Ruhi Doshi; Shashi Shekhar 001 (ISPRS Int. J. Geo Inf., 2017)

Physics-guided energy-efficient path selection: a summary of results. - Yan Li 049; Shashi Shekhar 001; Pengyue Wang; William F. Northrop (SIGSPATIAL/GIS, 2018)

Local Co-location Pattern Detection: A Summary of Results. - Yan Li 049; Shashi Shekhar 001 (GIScience, 2018)

Transforming Smart Cities with Spatial Computing. - Yiqun Xie; Jayant Gupta; Yan Li 049; Shashi Shekhar 001 (ISC2, 2018)

Actor-Critic based Deep Reinforcement Learning Framework for Energy Management of Extended Range Electric Delivery Vehicles. - Pengyue Wang; Yan Li 049; Shashi Shekhar 001; William F. Northrop (AIM, 2019)

Uncertainty Estimation with Distributional Reinforcement Learning for Applications in Intelligent Transportation Systems: A Case Study. - Pengyue Wang; Yan Li 049; Shashi Shekhar 001; William F. Northrop (ITSC, 2019)

A Deep Reinforcement Learning Framework for Energy Management of Extended Range Electric Delivery Vehicles. - Pengyue Wang; Yan Li 049; Shashi Shekhar 001; William F. Northrop (IV, 2019)

Trajectory-aware Lowest-cost Path Selection: A Summary of Results. - Yan Li 049; Pratik Kotwal; Pengyue Wang; Shashi Shekhar 001; William F. Northrop (SSTD, 2019)

Spatial Ensemble Learning for Heterogeneous Geographic Data with Class Ambiguity. - Zhe Jiang 001; Arpan Man Sainju; Yan Li 049; Shashi Shekhar 001; Joseph F. Knight (ACM Trans. Intell. Syst. Technol., 2019)

Risk-aware Energy Management of Extended Range Electric Delivery Vehicles with Implicit Quantile Network. - Pengyue Wang; Yan Li 049; Shashi Shekhar 001; William F. Northrop (CASE, 2020)

Significant lagrangian linear hotspot discovery. - Yan Li 049; Yiqun Xie; Pengyue Wang; Shashi Shekhar 001; William F. Northrop (IWCTS@SIGSPATIAL, 2020)

Discovering Spatial Mixture Patterns of Interest. - Yiqun Xie; Han Bao 003; Yan Li 049; Shashi Shekhar 001 (SIGSPATIAL/GIS, 2020)

Uncertainty-aware Energy Management of Extended Range Electric Delivery Vehicles with Bayesian Ensemble. - Pengyue Wang; Yan Li 049; Shashi Shekhar 001; William F. Northrop (IV, 2020)

A Physics Model-Guided Online Bayesian Framework for Energy Management of Extended Range Electric Delivery Vehicles. - Pengyue Wang; Yan Li 049; Shashi Shekhar 001; William F. Northrop (CoRR, 2020)

Adversarial Attacks on Reinforcement Learning based Energy Management Systems of Extended Range Electric Delivery Vehicles. - Pengyue Wang; Yan Li 049; Shashi Shekhar 001; William F. Northrop (CoRR, 2020)

Physics-guided Energy-efficient Path Selection Using On-board Diagnostics Data. - Yan Li 049; Pratik Kotwal; Pengyue Wang; Yiqun Xie; Shashi Shekhar 001; William F. Northrop (Trans. Data Sci., 2020)

Significant spatial co-distribution pattern discovery. - Jiannan Cai; Yiqun Xie; Min Deng; Xun Tang; Yan Li 049; Shashi Shekhar 001 (Comput. Environ. Urban Syst., 2020)

Vehicle Emissions Prediction with Physics-Aware AI Models: Preliminary Results. - Harish Panneer Selvam; Yan Li 049; Pengyue Wang; William F. Northrop; Shashi Shekhar 001 (CoRR, 2021)

MC-DGCNN: A Novel DNN Architecture for Multi-Category Point Set Classification. - Majid Farhadloo; Carl Molnar; Gaoxiang Luo; Yan Li 049; Shashi Shekhar 001; Rachel L. Maus; Svetomir N. Markovic; Raymond Moore; Alexey A. Leontovich (CoRR, 2021)

Understanding COVID-19 Effects on Mobility: A Community-Engaged Approach. - Arun Sharma 006; Majid Farhadloo; Yan Li 049; Jayant Gupta; Aditya Kulkarni; Shashi Shekhar 001 (AGILE Conf., 2022)

CSCD: towards spatially resolving the heterogeneous landscape of MxIF oncology data. - Yan Li 049; Majid Farhadloo; Santhoshi Krishnan; Yiqun Xie; Timothy L. Frankel; Shashi Shekhar 001; Arvind Rao (BigSpatial@SIGSPATIAL, 2022)

SAMCNet: Towards a Spatially Explainable AI Approach for Classifying MxIF Oncology Data. - Majid Farhadloo; Carl Molnar; Gaoxiang Luo; Yan Li 049; Shashi Shekhar 001; Rachel L. Maus; Svetomir N. Markovic; Alexey A. Leontovich; Raymond Moore (KDD, 2022)

Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation. - Yan Li 049; Mingzhou Yang 001; Matthew Eagon; Majid Farhadloo; Yiqun Xie; William F. Northrop; Shashi Shekhar 001 (SDM, 2023)

Statistically-Robust Clustering Techniques for Mapping Spatial Hotspots: A Survey. - Yiqun Xie; Shashi Shekhar 001; Yan Li 049 (ACM Comput. Surv., 2023)