Yan Li

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 29

Top Topics

Reinforcement Learning

Energy Management

Top Venues

IWCTS@SIGSPATIAL

Publications

Yan Li, Mingzhou Yang, Matthew Eagon, Majid Farhadloo, Yiqun Xie, William F. Northrop, Shashi Shekhar
Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation. CoRR (2023)
Yiqun Xie, Shashi Shekhar, Yan Li
Statistically-Robust Clustering Techniques for Mapping Spatial Hotspots: A Survey. ACM Comput. Surv. 55 (2) (2023)
Yan Li, Mingzhou Yang, Matthew Eagon, Majid Farhadloo, Yiqun Xie, William F. Northrop, Shashi Shekhar
Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation. SDM (2023)
Arun Sharma, Majid Farhadloo, Yan Li, Aditya Kulkarni, Jayant Gupta, Shashi Shekhar
Understanding COVID-19 Effects on Mobility: A Community-Engaged Approach. CoRR (2022)
Majid Farhadloo, Carl Molnar, Gaoxiang Luo, Yan Li, Shashi Shekhar, Rachel L. Maus, Svetomir N. Markovic, Alexey A. Leontovich, Raymond Moore
SAMCNet: Towards a Spatially Explainable AI Approach for Classifying MxIF Oncology Data. KDD (2022)
Yan Li, Majid Farhadloo, Santhoshi Krishnan, Yiqun Xie, Timothy L. Frankel, Shashi Shekhar, Arvind Rao
CSCD: towards spatially resolving the heterogeneous landscape of MxIF oncology data. BigSpatial@SIGSPATIAL (2022)
Majid Farhadloo, Carl Molnar, Gaoxiang Luo, Yan Li, Shashi Shekhar, Rachel L. Maus, Svetomir N. Markovic, Raymond Moore, Alexey A. Leontovich
MC-DGCNN: A Novel DNN Architecture for Multi-Category Point Set Classification. CoRR (2021)
Yiqun Xie, Shashi Shekhar, Yan Li
Statistically-Robust Clustering Techniques for Mapping Spatial Hotspots: A Survey. CoRR (2021)
Harish Panneer Selvam, Yan Li, Pengyue Wang, William F. Northrop, Shashi Shekhar
Vehicle Emissions Prediction with Physics-Aware AI Models: Preliminary Results. CoRR (2021)
Jiannan Cai, Yiqun Xie, Min Deng, Xun Tang, Yan Li, Shashi Shekhar
Significant spatial co-distribution pattern discovery. Comput. Environ. Urban Syst. 84 (2020)
Pengyue Wang, Yan Li, Shashi Shekhar, William F. Northrop
A Physics Model-Guided Online Bayesian Framework for Energy Management of Extended Range Electric Delivery Vehicles. CoRR (2020)
Yan Li, Pratik Kotwal, Pengyue Wang, Yiqun Xie, Shashi Shekhar, William F. Northrop
Physics-guided Energy-efficient Path Selection Using On-board Diagnostics Data. Trans. Data Sci. 1 (3) (2020)
Pengyue Wang, Yan Li, Shashi Shekhar, William F. Northrop
Uncertainty-aware Energy Management of Extended Range Electric Delivery Vehicles with Bayesian Ensemble. IV (2020)
Pengyue Wang, Yan Li, Shashi Shekhar, William F. Northrop
Adversarial Attacks on Reinforcement Learning based Energy Management Systems of Extended Range Electric Delivery Vehicles. CoRR (2020)
Yiqun Xie, Han Bao, Yan Li, Shashi Shekhar
Discovering Spatial Mixture Patterns of Interest. SIGSPATIAL/GIS (2020)
Yan Li, Yiqun Xie, Pengyue Wang, Shashi Shekhar, William F. Northrop
Significant lagrangian linear hotspot discovery. IWCTS@SIGSPATIAL (2020)
Pengyue Wang, Yan Li, Shashi Shekhar, William F. Northrop
Risk-aware Energy Management of Extended Range Electric Delivery Vehicles with Implicit Quantile Network. CASE (2020)
Pengyue Wang, Yan Li, Shashi Shekhar, William F. Northrop
Actor-Critic based Deep Reinforcement Learning Framework for Energy Management of Extended Range Electric Delivery Vehicles. AIM (2019)
Yan Li, Pratik Kotwal, Pengyue Wang, Shashi Shekhar, William F. Northrop
Trajectory-aware Lowest-cost Path Selection: A Summary of Results. SSTD (2019)
Pengyue Wang, Yan Li, Shashi Shekhar, William F. Northrop
A Deep Reinforcement Learning Framework for Energy Management of Extended Range Electric Delivery Vehicles. IV (2019)
Pengyue Wang, Yan Li, Shashi Shekhar, William F. Northrop
Uncertainty Estimation with Distributional Reinforcement Learning for Applications in Intelligent Transportation Systems: A Case Study. ITSC (2019)
Zhe Jiang, Arpan Man Sainju, Yan Li, Shashi Shekhar, Joseph F. Knight
Spatial Ensemble Learning for Heterogeneous Geographic Data with Class Ambiguity. ACM Trans. Intell. Syst. Technol. 10 (4) (2019)
Yan Li, Shashi Shekhar
Local Co-location Pattern Detection: A Summary of Results. GIScience (2018)
Yiqun Xie, Jayant Gupta, Yan Li, Shashi Shekhar
Transforming Smart Cities with Spatial Computing. ISC2 (2018)
Yan Li, Shashi Shekhar, Pengyue Wang, William F. Northrop
Physics-guided energy-efficient path selection: a summary of results. SIGSPATIAL/GIS (2018)
Reem Y. Ali, Yan Li, Shashi Shekhar, Shounak Athavale, Eric D. Marsman
Supply and Demand Aware Synthetic Data Generation for On-demand Traffic with Real-world Characteristics. IWCTS@SIGSPATIAL (2017)
Zhe Jiang, Yan Li, Shashi Shekhar, Lian P. Rampi, Joseph F. Knight
Spatial Ensemble Learning for Heterogeneous Geographic Data with Class Ambiguity: A Summary of Results. SIGSPATIAL/GIS (2017)
Yiqun Xie, Emre Eftelioglu, Reem Y. Ali, Xun Tang, Yan Li, Ruhi Doshi, Shashi Shekhar
Transdisciplinary Foundations of Geospatial Data Science. ISPRS Int. J. Geo Inf. 6 (12) (2017)
Emre Eftelioglu, Yan Li, Xun Tang, Shashi Shekhar, James M. Kang, Christopher Farah
Mining Network Hotspots with Holes: A Summary of Results. GIScience (2016)