Area of research
Electronic, Optical and Magnetic Materials · Computational Theory and Mathematics
Research interest
Research interests include Computer science, Reinforcement learning, Process (computing), Artificial neural network, Scratch, and Recurrent neural network.
Quaternion matrix function representation for color image recovery
De novo drug design based on Stack-RNN with multi-objective reward-weighted sum and reinforcement learning
Generation of focused drug molecule library using recurrent neural network
STAGAN: An approach for improve the stability of molecular graph generation based on generative adversarial networks
Comparison Study on the Performance of a Novel and Traditional Energy Piles by Laboratory Tests