Yi Zhong

Triple-Memory Networks: A Brain-Inspired Method for Continual Learning

2021 · IEEE Transactions on Neural Networks and Learning Systems

Continual acquisition of novel experience without interfering with previously learned knowledge, i.e., continual learning, is critical for artificial neural networks, while limited by catastrophic forgetting. A neural network adjusts its parameters when learning a new …

Multimodal Deep Learning Model for Specific Emitter Identification

2021 · 2021 IEEE 6th International Conference on Signal and Image Processing (ICSIP)

Specific Emitter Identification (SEI) is an approach to distinguish similar emitters, especially those of the same type and transmitting parameters, based on revealing the underlying physical association between the emitter hardware and the received signals …

Memory Replay with Data Compression for Continual Learning

2022 · arXiv (Cornell University)

Continual learning needs to overcome catastrophic forgetting of the past. Memory replay of representative old training samples has been shown as an effective solution, and achieves the state-of-the-art (SOTA) performance. However, existing work is mainly …