Zhiyu Huang
Orcid: 0009-0000-0687-2385
According to our database1,
Zhiyu Huang
authored at least 59 papers
between 2011 and 2024.
Collaborative distances:
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Bibliography
2024
Differentiable Integrated Motion Prediction and Planning With Learnable Cost Function for Autonomous Driving.
IEEE Trans. Neural Networks Learn. Syst., November, 2024
Safety-Aware Human-in-the-Loop Reinforcement Learning With Shared Control for Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., November, 2024
Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous Driving.
IEEE Robotics Autom. Lett., August, 2024
Map-Adaptive Multimodal Trajectory Prediction via Intention-Aware Unimodal Trajectory Predictors.
IEEE Trans. Intell. Transp. Syst., June, 2024
Energy Efficiency Maximization for UAV-Assisted Full-Duplex Communication in the Presence of Multiple Malicious Jammers.
IEEE Syst. J., June, 2024
Transformer-Based Traffic-Aware Predictive Energy Management of a Fuel Cell Electric Vehicle.
IEEE Trans. Veh. Technol., April, 2024
Augmenting Reinforcement Learning With Transformer-Based Scene Representation Learning for Decision-Making of Autonomous Driving.
IEEE Trans. Intell. Veh., March, 2024
Prioritized Experience-Based Reinforcement Learning With Human Guidance for Autonomous Driving.
IEEE Trans. Neural Networks Learn. Syst., January, 2024
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024
Optimization for UAV-assisted simultaneous transmission and reception communications in the existence of malicious jammers.
Secur. Saf., 2024
Rate splitting multiple access for UAV Secure Communication Systems with Friendly Jamming.
Phys. Commun., 2024
Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning.
CoRR, 2024
CoRR, 2024
Versatile Scene-Consistent Traffic Scenario Generation as Optimization with Diffusion.
CoRR, 2024
Scalable Traffic Simulation for Autonomous Driving via Multi-Agent Goal Assignment and Autoregressive Goal-Directed Planning.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving.
Proceedings of the IEEE International Conference on Robotics and Automation, 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
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
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
A Method for Identity Feature Recognition in Wireless Visual Sensing Networks Based on Convolutional Neural Networks.
Proceedings of the Advanced Hybrid Information Processing, 2023
A Machine Learning Based Security Detection Method for Privacy Data in Social Networks.
Proceedings of the Advanced Hybrid Information Processing, 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
Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
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
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
Proceedings of the NeurIPS 2022 Competition Track, 2021
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
Proceedings of the IEEE 13th International Conference on Cognitive Informatics and Cognitive Computing, 2014
2012
Proceedings of the 26th ACM/IEEE/SCS Workshop on Principles of Advanced and Distributed Simulation, 2012
Proceedings of the 11th International Conference on Information Processing in Sensor Networks (co-located with CPS Week 2012), 2012
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012
2011
Proceedings of the 10th IEEE International Conference on Cognitive Informatics and Cognitive Computing, 2011