Pengyue Wang

Orcid: 0000-0003-0126-5513

According to our database1, Pengyue Wang authored at least 16 papers between 2018 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
A Globally Cooperative Recovery Strategy for Cyber-Physical Power System Based on Node Importance.
IEEE Access, 2024

2021
Ensemble learning-based hierarchical retrieval of similar cases for site planning.
J. Comput. Des. Eng., 2021

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

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

Transportation Mode Recognition With Deep Forest Based on GPS Data.
IEEE Access, 2020

Uncertainty-aware Energy Management of Extended Range Electric Delivery Vehicles with Bayesian Ensemble.
Proceedings of the IEEE Intelligent Vehicles Symposium, 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
城市空气质量感知方法综述 (Review on Urban Air Quality Perception Methods).
计算机科学, 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
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


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