Wei Fang

Biography

Wei’s research focuses on deep learning algorithms for Spiking Neural Networks (SNNs), an interdisciplinary area spanning computational neuroscience, machine learning, deep learning, recurrent neural networks (RNNs), quantized neural networks, and neuromorphic computing. In general, deep SNNs can be regarded as special RNNs with activations quantized to 0 and 1. They offer strong biological plausibility, event-driven and sparse computation, and extremely high power efficiency on neuromorphic chips.

Education

• "Peking University: Ph.D. in Computer Application Technology (2019-2024)"