Honglan Huang

A Reinforcement One-Shot Active Learning Approach for Aircraft Type Recognition

Yanghe Feng, Li Chen, Jincai Huang, 2019, IEEE Access.

On the improvement of reinforcement active learning with the involvement of cross entropy to address one-shot learning problem

Yanghe Feng, Jincai Huang, Qi Wang, 2019, PloS one.

Efficient hierarchical policy network with fuzzy rules

Jincai Huang, Honglan Huang, Zhong Liu, 2021, International Journal of Machine Learning and Cybernetics.

Artificial Neural Networks for Chemistry Representation in Numerical Simulation of the Flamelet-Based Models for Turbulent Combustion

Yanghe Feng, Jincai Huang, Jiarui Zhang, 2020, IEEE Access.

Active one-shot learning by a deep Q-network strategy

Zhong Liu, Yanghe Feng, Jincai Huang, 2020, Neurocomputing.

On the Application of Energy Inspired Model to Label Denoising

Zhong Liu, Wei Shi, Qi Wang, 2018, 2018 4th International Conference on Big Data and Information Analytics (BigDIA).

A Novel Federated Reinforcement Learning Algorithm with Historical Model Update Momentum

Zhong Liu, Guangquan Cheng, Yanghe Feng, 2023, 2023 2nd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM).

PMDRL: Pareto-front-based multi-objective deep reinforcement learning

Zhong Liu, Guangquan Cheng, Yanghe Feng, 2022, Journal of Ambient Intelligence and Humanized Computing.

Active Client Selection for Clustered Federated Learning

Zhong Liu, Chaoyue Niu, Guangquan Cheng, 2023, IEEE Transactions on Neural Networks and Learning Systems.