Aiming Wu

Publication Activity (10 Years)

Years Active: 2006-2022
Publications (10 Years): 6

Top Topics

Computing Power

Reinforcement Learning

Semantic Interoperability

Resource Allocation

Top Venues

Publications

Yihe Zhang, Shanshan Tu, Muhammad Waqas, Yongjie Yang, Aiming Wu, Xuetao Bai
Resource Allocation for Blockchain-Enabled Fog Computing with Deep Reinforcement Learning. ICCNS (2022)
Aiming Wu, Shanshan Tu, Junwei Liu, Yihe Zhang, Yongjie Yang, Xuetao Bai
Detection Scheme of Impersonation Attack Based on Sarsa(Lambda) Algorithm in Fog Computing. ICCNS (2022)
Xuetao Bai, Shanshan Tu, Haishuang Yan, Yongjie Yang, Aiming Wu, Yihe Zhang
SPoW: A solution to the problem of centralization of computing power. ICCNS (2022)
Yihe Zhang, Shanshan Tu, Shengju Zhang, Yongjie Yang, Aiming Wu, Xuetao Bai
Performance Optimization Blockchain-Enabled Fog Computing with Deep Reinforcement Learning. ICCNS (2022)
Xuetao Bai, Shanshan Tu, Muhammad Waqas, Aiming Wu, Yihe Zhang, Yongjie Yang
Blockchain Enable IoT Using Deep Reinforcement Learning: A Novel Architecture to Ensure Security of Data Sharing and Storage. ICAIS (3) (2022)
Yongjie Yang, Shanshan Tu, Haishuang Yan, Yihe Zhang, Aiming Wu, Xuetao Bai
Deep Reinforcement Learning-Based Computation Offloading for Anti-jamming in Fog Computing Networks. ICCNS (2022)
Aiming Wu, William W. Hsieh, Benyang Tang
Neural network forecasts of the tropical Pacific sea surface temperatures. Neural Networks 19 (2) (2006)