38 Zheda Road
Hangzhou, 310058
China
Zhejiang University
Interpretability, Deep neural network, Discrete representation learning
vision Transformer, attention mechanism, classification, interpretability for deep learning
graph neural network, power flow adjustment, power system state representation learning, section-adaptive attention, transformer