Shangshang Wang

Orcid: 0009-0005-0996-5380

According to our database1, Shangshang Wang authored at least 14 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
Next-Word Prediction: A Perspective of Energy-Aware Distributed Inference.
IEEE Trans. Mob. Comput., May, 2024

Multi-Agent Systems for Collaborative Inference Based on Deep Policy Q-Inference Network.
J. Grid Comput., March, 2024

Privacy-Preserving Edge Intelligence: A Perspective of Constrained Bandits.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

GNN-Aided Distributed GAN with Partially Observable Social Graph.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

Learning to Schedule Online Tasks with Bandit Feedback.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
Neural Constrained Combinatorial Bandits.
Proceedings of the IEEE INFOCOM 2023, 2023

Online Learning-Based Beamforming for Rate-Splitting Multiple Access: A Constrained Bandit Approach.
Proceedings of the IEEE International Conference on Communications, 2023

Green Dueling Bandits.
Proceedings of the IEEE International Conference on Communications, 2023

Social-Aware Distributed Meta-Learning: A Perspective of Constrained Graphical Bandits.
Proceedings of the IEEE International Conference on Communications, 2023

2022
Decentralized Multi-Agent Bandit Learning for Intelligent Internet of Things Systems.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Memory Enhanced Spatial-Temporal Graph Convolutional Autoencoder for Human-Related Video Anomaly Detection.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Social-Aware Edge Intelligence: A Constrained Graphical Bandit Approach.
Proceedings of the IEEE Global Communications Conference, 2022

2019
Accurate Fatigue Detection Based on Multiple Facial Morphological Features.
J. Sensors, 2019

Research on dynamic optimal control strategy of distributed super capacitor energy storage system based on convolution neural network.
Concurr. Comput. Pract. Exp., 2019


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