Zhishang Wang

Orcid: 0000-0002-1716-2095

According to our database1, Zhishang Wang authored at least 14 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

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
Evolutionary Algorithm for STDP-Based Spiking Neural Network Model Compression.
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


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