Zhuoran Hou

Orcid: 0000-0003-0195-9056

According to our database1, Zhuoran Hou authored at least 21 papers between 2021 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
A Learning-and-Tube-Based Robust Model Predictive Control Strategy for Plug-In Hybrid Electric Vehicle.
IEEE Trans. Intell. Veh., January, 2024

2023
A Novel A-ECMS Energy Management Strategy Based on Dragonfly Algorithm for Plug-in FCEVs.
Sensors, February, 2023

Adaptive Cruise System Based on Fuzzy MPC and Machine Learning State Observer.
Sensors, 2023

Estimating Causal Effects using a Multi-task Deep Ensemble.
Proceedings of the International Conference on Machine Learning, 2023

2022
An Equivalent Consumption Minimization Strategy for a Parallel Plug-In Hybrid Electric Vehicle Based on an Environmental Perceiver.
Sensors, 2022

A Dual-Adaptive Equivalent Consumption Minimization Strategy for 4WD Plug-In Hybrid Electric Vehicles.
Sensors, 2022

A Dual Distribution Control Method for Multi-Power Components Energy Output of 4WD Electric Vehicles.
Sensors, 2022

State of Health Prediction of Lithium-Ion Battery Based on Deep Dilated Convolution.
Sensors, 2022

State-of-Health Prediction Using Transfer Learning and a Multi-Feature Fusion Model.
Sensors, 2022

Empirical Analysis of AI-based Energy Management in Electric Vehicles: A Case Study on Reinforcement Learning.
CoRR, 2022

Potential Auto-driving Threat: Universal Rain-removal Attack.
CoRR, 2022

Progress and summary of reinforcement learning on energy management of MPS-EV.
CoRR, 2022

Transfer Learning and Vision Transformer based State-of-Health prediction of Lithium-Ion Batteries.
CoRR, 2022

A novel learning-based robust model predictive control energy management strategy for fuel cell electric vehicles.
CoRR, 2022

Hierarchical Graph Pooling is an Effective Citywide Traffic Condition Prediction Model.
CoRR, 2022

Spatial-Temporal Feature Extraction and Evaluation Network for Citywide Traffic Condition Prediction.
CoRR, 2022

A Transferable Intersection Reconstruction Network for Traffic Speed Prediction.
CoRR, 2022

DRL-ECMS: An Adaptive Hierarchical Equivalent Consumption Minimization Strategy Based on Deep Reinforcement Learning.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

An Intelligent Energy Management Strategy for Plug-in Hybrid Electric Vehicle Inspired from Monte Carlo Tree Search.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021
Energy Management Strategy Based on a Novel Speed Prediction Method.
Sensors, 2021

Dual-Input and Multi-Channel Convolutional Neural Network Model for Vehicle Speed Prediction.
Sensors, 2021


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