I am a research engineer and a PhD candidate at Brain-inspired Cognitive Intelligence Lab. I received the M.E. degree in Pattern Recognition and Intelligent System from Institute of Automation, Chinese Academy of Sciences in 2017, with the supervision of Prof. Yi Zeng. Before that, I obtained the B.S. degree in Statistics and the B.Ec. dual degree in Finance from Shandong University in 2014.

I am interested in Brain-inspired Artificial Intelligence, specifically in the development of computation models to describe human behavior by combining mechanisms from computational neuroscience and cognitive psychology to make AI systems more brain-like in mechanism and more human-like in behavior.

My current research interests focus on the following directions:

• Computation Models on Human-like Concept Learning.
• Computation Models on Multisensory Integration.
• Spiking Neural Networks.
• Natural Language Understanding.
• Sequence Learning.

If you're interested in my research, feel free to contact: yuwei.wang@ia.ac.cn.

• Brain-inspired Cognitive Intelligence Engine (BrainCog) (2013.6-) [Member]

• Yuwei Wang, Yi Zeng. Multisensory Concept Learning Framework Based on Spiking Neural Networks. Frontiers in Systems Neuroscience, 16:845177, 2022.
• Yuwei Wang, Yi Zeng. Statistical Analysis of Multisensory and Text-Derived Representations on Concept Learning. Frontiers in Computational Neuroscience, 16:861265, 2022.
• Yuwei Wang, Yi Zeng, Jianbo Tang, Bo Xu. Biological Neuron Coding Inspired Binary Word Embeddings. Cognitive Computation, 11(5): 676-684, 2019.
• Yuwei Wang, Yi Zeng, Bo Xu. SHTM: A Neocortex-inspired Algorithm for One-shot Text Generation. IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016.
• Xiaosha Wang, Yangwen Xu, Yuwei Wang, Yi Zeng, Jiacai Zhang, Zhenhua Ling, Yanchao Bi. Representational Similarity Analysis Reveals Task-dependent Semantic Influence of the Visual Word Form Area. Scientific reports, 8(1): 1-10, 2018.
• Cunqing Huangfu, Yi Zeng, Yuwei Wang. Creating Neuroscientific Knowledge Organization System Based on Word Representation and Agglomerative Clustering Algorithm. Frontiers in Neuroinformatics, 14: 38, 2020.
• 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.