Yinuo Zhao
According to our database1,
Yinuo Zhao
authored at least 21 papers
between 2020 and 2025.
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Bibliography
2025
Reliability and security analysis of NOMA-UAV communication network in intelligent eavesdropping environment.
Telecommun. Syst., September, 2025
CoRR, July, 2025
ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., June, 2025
ArtVIP: Articulated Digital Assets of Visual Realism, Modular Interaction, and Physical Fidelity for Robot Learning.
CoRR, June, 2025
Explicitly Integrated Multitask Learning in a Hybrid Network for Remote Sensing Road Extraction.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025
Y-Net-ECG: A Multi-Lead informed and interpretable architecture for ECG segmentation across diverse rhythms.
Expert Syst. Appl., 2025
Efficient Training of Generalizable Visuomotor Policies via Control-Aware Augmentation.
Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025
2024
Energy-Efficient Ground-Air-Space Vehicular Crowdsensing by Hierarchical Multi-Agent Deep Reinforcement Learning With Diffusion Models.
IEEE J. Sel. Areas Commun., December, 2024
ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning.
CoRR, 2024
RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation.
CoRR, 2024
An Efficient Generalizable Framework for Visuomotor Policies via Control-aware Augmentation and Privilege-guided Distillation.
CoRR, 2024
2023
Decis. Support Syst., June, 2023
Intelligent Multi-peak Beam Training in mmWave Communications with Deep Neural Networks.
Proceedings of the International Conference on Wireless Communications and Signal Processing, 2023
Multi-Skill Policy Transfer by Option-based Deep Reinforcement Learning for Autonomous Driving.
Proceedings of the 9th International Conference on Big Data Computing and Communications, 2023
2022
Proceedings of the 9th International Conference on Information Technology and Quantitative Management, 2022
CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-Based Autonomous Urban Driving.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning.
IEEE Trans. Mob. Comput., 2021
Social-Aware Incentive Mechanism for Vehicular Crowdsensing by Deep Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst., 2021
2020
Free Market of Multi-Leader Multi-Follower Mobile Crowdsensing: An Incentive Mechanism Design by Deep Reinforcement Learning.
IEEE Trans. Mob. Comput., 2020
Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020