I am currently an Associate Professor with the Brain-inspired Cognitive Intelligence Research Group at the Institute of Automation, Chinese Academy of Sciences. My primary research interests include brain-inspired cognitive computing, spiking neural networks, neuron modeling, multi-brain-region coordination, brain-inspired sequential learning, and music learning and generation. I received my Ph.D. from the Institute of Automation, Chinese Academy of Sciences, under the supervision of Prof. Yi Zeng. I earned my Master's degree from the Institute of Machine Intelligence at Nankai University and my Bachelor's degree from the College of Computer Science at Nankai University.

Brain-inpired cognitive learning, Spiking neural networks, Brain inspired music learning

(1) Qian Liang ; Yi Zeng; Stylistic Composition of Melodies Based on a Brain-Inspired Spiking Neural Network, Frontiers in Systems Neuroscience, 2021, 15: 0-639484 

(2) Qian Liang ; Yi Zeng; Bo Xu ; Temporal-Sequential Learning With a Brain-Inspired Spiking Neural Network and Its Application to Musical Memory, Frontiers in Computational Neuroscience, 2020, 14: 0-51

(3) Yi Zeng; Dongcheng Zhao; Feifei Zhao; Guobin Shen; Yiting Dong; Enmeng Lu; Qian Zhang; Yinqian Sun; Qian Liang ; Yuxuan Zhao; Zhuoya Zhao; Hongjian Fang; Yuwei Wang; Yang Li; Xin Liu; Chengcheng Du; Qingqun Kong; Zizhe Ruan; Weida Bi ; BrainCog: A spiking neural network based, brain-inspired cognitive intelligence engine for brain-inspired AI and brain simulation, Patterns, Cell Press, 2023, 4