Zhiyu Huang

Orcid: 0000-0003-1592-7215

According to our database1, Zhiyu Huang authored at least 47 papers between 2011 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Prioritized Experience-Based Reinforcement Learning With Human Guidance for Autonomous Driving.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

Hybrid-Prediction Integrated Planning for Autonomous Driving.
CoRR, 2024

Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous Driving.
CoRR, 2024

2023
Energy efficiency maximization for WPT-enabled UAV-assisted emergency communication with user mobility.
Phys. Commun., December, 2023

Human-Guided Reinforcement Learning With Sim-to-Real Transfer for Autonomous Navigation.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Efficient Deep Reinforcement Learning With Imitative Expert Priors for Autonomous Driving.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Uncertainty-Aware Model-Based Reinforcement Learning: Methodology and Application in Autonomous Driving.
IEEE Trans. Intell. Veh., January, 2023

Conditional Predictive Behavior Planning With Inverse Reinforcement Learning for Human-Like Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., 2023

DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving.
CoRR, 2023

Privacy-Preserving Online Sharing Charging Pile Scheme with Different Needs Matching.
CoRR, 2023

UAV-Assisted Downlink-and-Uplink Communication in the Presence of Multiple Malicious Jammers.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

Occupancy Prediction-Guided Neural Planner for Autonomous Driving.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Learning Interaction-Aware Motion Prediction Model for Decision-Making in Autonomous Driving.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Multi-modal Hierarchical Transformer for Occupancy Flow Field Prediction in Autonomous Driving.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Triplet Cross-Fusion Learning for Unpaired Image Denoising in Optical Coherence Tomography.
IEEE Trans. Medical Imaging, 2022

Multi-Agent Trajectory Prediction With Heterogeneous Edge-Enhanced Graph Attention Network.
IEEE Trans. Intell. Transp. Syst., 2022

Driving Behavior Modeling Using Naturalistic Human Driving Data With Inverse Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst., 2022

Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving.
CoRR, 2022

STrajNet: Occupancy Flow Prediction via Multi-modal Swin Transformer.
CoRR, 2022

Differentiable Integrated Motion Prediction and Planning with Learnable Cost Function for Autonomous Driving.
CoRR, 2022

Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Stochastic Multimodal Interaction Prediction for Urban Driving.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

ReCoAt: A Deep Learning-based Framework for Multi-Modal Motion Prediction in Autonomous Driving Application.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Multi-modal Motion Prediction with Transformer-based Neural Network for Autonomous Driving.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Real-Time Optimization of Energy Management Strategy for Fuel Cell Vehicles Using Inflated 3D Inception Long Short-Term Memory Network-Based Speed Prediction.
IEEE Trans. Veh. Technol., 2021

Personalized Trajectory Planning and Control of Lane-Change Maneuvers for Autonomous Driving.
IEEE Trans. Veh. Technol., 2021

Weakly Supervised Deep Learning-Based Optical Coherence Tomography Angiography.
IEEE Trans. Medical Imaging, 2021

Improved Short-Term Speed Prediction Using Spatiotemporal-Vision-Based Deep Neural Network for Intelligent Fuel Cell Vehicles.
IEEE Trans. Ind. Informatics, 2021

Prioritized Experience-based Reinforcement Learning with Human Guidance: Methdology and Application to Autonomous Driving.
CoRR, 2021

Uncertainty-Aware Model-Based Reinforcement Learning with Application to Autonomous Driving.
CoRR, 2021

Human-in-the-Loop Deep Reinforcement Learning with Application to Autonomous Driving.
CoRR, 2021

Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving.
CoRR, 2021

Driving SMARTS Competition at NeurIPS 2022: Insights and Outcome.
Proceedings of the NeurIPS 2022 Competition Track, 2021

Digital Twin-enabled Reinforcement Learning for End-to-end Autonomous Driving.
Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021

2020
Prediction of Tool Point Frequency Response Functions within Machine Tool Work Volume Considering the Position and Feed Direction Dependence.
Symmetry, 2020

Modeling Human Driving Behavior in Highway Scenario using Inverse Reinforcement Learning.
CoRR, 2020

Multi-modal Sensor Fusion-Based Deep Neural Network for End-to-end Autonomous Driving with Scene Understanding.
CoRR, 2020

Multi-Scale Driver Behaviors Reasoning System for Intelligent Vehicles Based on a Joint Deep Learning Framework.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2019
A Optimized PPD CMOS Pixel with 26.09 % Transfer Efficiency Improvement and 43.34 % Crosstalk Suppression for I-ToF Application.
Proceedings of the 13th IEEE International Conference on ASIC, 2019

2017
Optimal planning of distributed photovoltaic considering three-phase unbalanced degree.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

2014
Research on multi-parameter meter for axis parts based on parallel light.
Proceedings of the IEEE 13th International Conference on Cognitive Informatics and Cognitive Computing, 2014

2012
A Radio-Driven Time Synchronization Protocol in Hybrid Simulation Systems.
Proceedings of the 26th ACM/IEEE/SCS Workshop on Principles of Advanced and Distributed Simulation, 2012

Direct multi-hop time synchronization with constructive interference.
Proceedings of the 11th International Conference on Information Processing in Sensor Networks (co-located with CPS Week 2012), 2012

Exploiting constructive interference for scalable flooding in wireless networks.
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

2011
Energy saving measures though building of external wall: A Chongqing case study.
Proceedings of the 10th IEEE International Conference on Cognitive Informatics and Cognitive Computing, 2011


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