Senpeng Chen

According to our database1, Senpeng Chen authored at least 11 papers between 2019 and 2025.

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

2025
Enhanced Gray Wolf Optimization for UAV Path Planning.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024
Self-Attention Residual Connection and Graph Neural Hawkes Bilayer Model for Session-Based Recommendation.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Graph Self-Attention Residual Connection Neural Network for Session-Based Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Efficient hyperparameters optimization through model-based reinforcement learning with experience exploiting and meta-learning.
Soft Comput., July, 2023

Hyperparameter optimization through context-based meta-reinforcement learning with task-aware representation.
Knowl. Based Syst., 2023

2022
A context-based meta-reinforcement learning approach to efficient hyperparameter optimization.
Neurocomputing, 2022

2021
EMORL: Effective multi-objective reinforcement learning method for hyperparameter optimization.
Eng. Appl. Artif. Intell., 2021

2020
Efficient hyperparameter optimization through model-based reinforcement learning.
Neurocomputing, 2020

Efficient Hyperparameters optimization Through Model-based Reinforcement Learning and Meta-Learning.
Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

2019
RPR-BP: A Deep Reinforcement Learning Method for Automatic Hyperparameter Optimization.
Proceedings of the International Joint Conference on Neural Networks, 2019

Deep Reinforcement Learning with Model-Based Acceleration for Hyperparameter Optimization.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019


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