Yan Li

Orcid: 0000-0001-9683-9908

Affiliations:
  • University of Minnesota, Department of Computer Science and Engineering, Minneapolis, MN, USA


According to our database1, Yan Li authored at least 27 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Statistically-Robust Clustering Techniques for Mapping Spatial Hotspots: A Survey.
ACM Comput. Surv., 2023

Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

2022
Understanding COVID-19 Effects on Mobility: A Community-Engaged Approach.
CoRR, 2022

SAMCNet: Towards a Spatially Explainable AI Approach for Classifying MxIF Oncology Data.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

CSCD: towards spatially resolving the heterogeneous landscape of MxIF oncology data.
Proceedings of the 10th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, 2022

2021
MC-DGCNN: A Novel DNN Architecture for Multi-Category Point Set Classification.
CoRR, 2021

Vehicle Emissions Prediction with Physics-Aware AI Models: Preliminary Results.
CoRR, 2021

2020
Significant spatial co-distribution pattern discovery.
Comput. Environ. Urban Syst., 2020

Physics-guided Energy-efficient Path Selection Using On-board Diagnostics Data.
Trans. Data Sci., 2020

Adversarial Attacks on Reinforcement Learning based Energy Management Systems of Extended Range Electric Delivery Vehicles.
CoRR, 2020

A Physics Model-Guided Online Bayesian Framework for Energy Management of Extended Range Electric Delivery Vehicles.
CoRR, 2020

Uncertainty-aware Energy Management of Extended Range Electric Delivery Vehicles with Bayesian Ensemble.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Discovering Spatial Mixture Patterns of Interest.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

Significant lagrangian linear hotspot discovery.
Proceedings of the IWCTS@SIGSPATIAL 2020: Proceedings of the 13th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 2020

Risk-aware Energy Management of Extended Range Electric Delivery Vehicles with Implicit Quantile Network.
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

2019
Spatial Ensemble Learning for Heterogeneous Geographic Data with Class Ambiguity.
ACM Trans. Intell. Syst. Technol., 2019

Trajectory-aware Lowest-cost Path Selection: A Summary of Results.
Proceedings of the 16th International Symposium on Spatial and Temporal Databases, 2019

A Deep Reinforcement Learning Framework for Energy Management of Extended Range Electric Delivery Vehicles.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Uncertainty Estimation with Distributional Reinforcement Learning for Applications in Intelligent Transportation Systems: A Case Study.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Actor-Critic based Deep Reinforcement Learning Framework for Energy Management of Extended Range Electric Delivery Vehicles.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2019

2018
Transforming Smart Cities with Spatial Computing.
Proceedings of the IEEE International Smart Cities Conference, 2018

Local Co-location Pattern Detection: A Summary of Results.
Proceedings of the 10th International Conference on Geographic Information Science, 2018

Physics-guided energy-efficient path selection: a summary of results.
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

2017
Transdisciplinary Foundations of Geospatial Data Science.
ISPRS Int. J. Geo Inf., 2017

Spatial Ensemble Learning for Heterogeneous Geographic Data with Class Ambiguity: A Summary of Results.
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017

Supply and Demand Aware Synthetic Data Generation for On-demand Traffic with Real-world Characteristics.
Proceedings of the 10th ACM SIGSPATIAL Workshop on Computational Transportation Science, 2017

2016
Mining Network Hotspots with Holes: A Summary of Results.
Proceedings of the Geographic Information Science - 9th International Conference, 2016


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