Haibo He

Variational autoencoder based synthetic data generation for imbalanced learning

2017

Discovering pattern from imbalanced data plays an important role in numerous applications, such as health service, cyber security, and financial engineering. However, the imbalanced data greatly compromise the performance of most learning algorithms. Recently, various …

Deep Spiking Delayed Feedback Reservoirs and Its Application in Spectrum Sensing of MIMO-OFDM Dynamic Spectrum Sharing

2020 · Proceedings of the AAAI Conference on Artificial Intelligence

In this paper, we introduce a deep spiking delayed feedback reservoir (DFR) model to combine DFR with spiking neuros: DFRs are a new type of recurrent neural networks (RNNs) that are able to capture the …

An Improved Trust-Region Method for Off-Policy Deep Reinforcement Learning

2023

Reinforcement learning (RL) is a powerful tool for training agents to interact with complex environments. In particular, trust-region methods are widely used for policy optimization in model-free RL. However, these methods suffer from high sample …