Shiyang Zhou

Orcid: 0000-0002-1894-3678

According to our database1, Shiyang Zhou authored at least 14 papers between 2020 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Meteorology-Assisted Spatio-Temporal Graph Network for Uncivilized Urban Event Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
Resource Allocation in UAV-Assisted Networks: A Clustering-Aided Reinforcement Learning Approach.
IEEE Trans. Veh. Technol., 2022

Multi-Agent Low-Bias Reinforcement Learning for Resource Allocation in UAV-Assisted Networks.
Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022

Heterogeneous Graph Based Long- And Short-Term Preference Learning Model for Next POI Recommendation.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2022

Multi-View Attention Networks with Contrastive Predictive Coding for Sequential Recommendation.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Model-Based Machine Learning for Energy-Efficient UAV Placement.
Proceedings of the 7th International Conference on Computer and Communication Systems, 2022

2021
Research on licence plate recognition based on digital image.
Int. J. Wirel. Mob. Comput., 2021

Towards the steel plate defect detection: Multidimensional feature information extraction and fusion.
Concurr. Comput. Pract. Exp., 2021

JCS: An Explainable Surface Defects Detection Method for Steel Sheet by Joint Classification and Segmentation.
IEEE Access, 2021

KG-RL: A Knowledge-Guided Reinforcement Learning for Massive Battle Games.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

Independent Deep Deterministic Policy Gradient Reinforcement Learning in Cooperative Multiagent Pursuit Games.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
Stereo Matching with Multi-scale Based on Anisotropic Match Cost.
Concurr. Comput. Pract. Exp., 2020

Deep Deterministic Policy Gradient With Prioritized Sampling for Power Control.
IEEE Access, 2020

Deep Reinforcement Learning with Experience Sharing for Power Control.
Proceedings of the 20th IEEE International Conference on Communication Technology, 2020


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