Zhishang Wang
Orcid: 0000-0002-1716-2095
According to our database1,
Zhishang Wang authored at least 14 papers
between 2020 and 2026.
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Bibliography
2026
Edge-Driven Dynamic Two-Tier Blockchain for Energy Trading in Vehicle-to-Grid Networks.
IEEE Trans. Veh. Technol., April, 2026
GreenMorph: Sustainable Neuromorphic Computing through Energy-Harvesting and Energy-Driven Online STDP Learning.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2026
2025
Proceedings of the 18th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2025
Analytical Modeling of Task Allocation for Distributed Anthropomorphic Robots in Mission-Critical Environments.
Proceedings of the 18th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2025
FSPC: A Lossy Spike Compression Through Correlated-AER Merging in Spiking Neural Networks.
Proceedings of the 18th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2025
2024
A Hybrid Clustered Approach for Enhanced Communication and Model Performance in Blockchain-Based Collaborative Learning.
IEEE Access, 2024
BTSAM: Balanced Thermal-State-Aware Mapping Algorithms and Architecture for 3D-NoC-Based Neuromorphic Systems.
IEEE Access, 2024
Robust Vehicle-to-Grid Energy Trading Method Based on Smart Forecast and Multi-Blockchain Network.
IEEE Access, 2024
2023
Interlinked Chain Method for Blockchain-Based Collaborative Learning in Vehicular Networks.
Proceedings of the 16th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2023
Robust Client Selection Based Secure Collaborative Learning Algorithm for Pneumonia Detection.
Proceedings of the 6th IEEE International Conference on Knowledge Innovation and Invention, 2023
2022
A Robust Multi-Stage Power Consumption Prediction Method in a Semi-Decentralized Network of Electric Vehicles.
IEEE Access, 2022
V2GNet: Robust Blockchain-Based Energy Trading Method and Implementation in Vehicle-to-Grid Network.
IEEE Access, 2022
2021
Smart Energy Management System based on Reconfigurable AI Chip and Electrical Vehicles.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2021
2020
AEBIS: AI-Enabled Blockchain-Based Electric Vehicle Integration System for Power Management in Smart Grid Platform.
IEEE Access, 2020