I am interested in Brain-inspired Artificial Intelligence, Ethics and Governance of Artificial Intelligence and Web Developing.

My goal is to identify and develop practical applications of AI and AI governance to help advance the United Nations’ Sustainable Development Goals (SDGs), and scale their visibility for greater impact.

• Brain-inspired Cognitive Intelligence Engine (BrainCog) (2013.6-) [Member]
• Linked Brain Data : A large-scale, multi-modal brain knowledge base (2013.7 -) [Platform Developer]
• Linking Artificial Intelligence Principles (2018.10-) [Platform Developer]
• Artificial Intelligence Governance Online (2020.7-) [Platform Developer]
• AI for Sustainable Development Goals Think Tank (2020.6-) [Platform Developer]

• Brain-inspired Cognitive Intelligence Engine (BrainCog) : (2013.6-) [Member] is a brain-inspired neural network based platform for simulating the cognitive brains of different animal species at multiple scales and realizing brain-inspired Artificial Intelligence. The long term goal of BrainCog is to provide a comprehensive theory and system to decode the mechanisms and principles of human intelligence and its evolution, and develop artificial brains for brain-inspired conscious living machines in future human-machine society.
• Linking Artificial Intelligence Principles (LAIP) : (2018.10-) [Platform Developer] Various Artificial Intelligence Principles are designed with different considerations, and none of them can be perfect and complete for every scenario. Linking Artificial Intelligence Principles (LAIP) is an initiative and platform for synthesizing, linking, and analyzing various Artificial Intelligence Principles World Wide, from different research institutes, non-profit organizations, non-governmental organizations, companies, etc. The efforts aim at understanding in which degree do these different AI Principles proposals share common values, differ and complete each other.
• Linked Brain Data (LBD) : A large-scale, multi-modal brain knowledge base (2013.7 -) [Platform Developer] This project is an effort for extracting and linking Neuroscience data and knowledge from multiple scale and multiple data sources together. The LBD platform provides services for neuroscience knowledge extraction, structured neuron data representation, neuron data integration, visualization, analysis, semantic search (through SPARQL queries) and reasoning over the integrated Neuron data.

• 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.