曾毅
曾毅，中国科学院自动化研究所研究员、类脑认知智能研究组负责人、脑图谱与类脑智能实验室副主任、人工智能伦理与治理研究中心主任、人工智能安全与超级对齐北京市重点实验室主任；中国科学院大学岗位教授，博士生导师；中国科学院脑认知与类脑智能重点实验室研究员；中国人工智能学会心智计算专委会主任；国家新一代人工智能治理专委会委员；国家科技伦理委员会人工智能分委会委员；世界互联网大会人工智能专业委员会主任委员；入选联合国人工智能高层顾问机构专家、联合国教科文组织人工智能伦理特设专家组专家；被美国《时代周刊TIME》评为人工智能最具影响力100人。承担北京市科委首批类脑计算专项，北京市脑科学与类脑研究中心首批课题、中国科学院先导专项、北京市科委重大专项、国家自然科学基金项目等。主导研制并发布了“智脉(BrainCog)”类脑认知智能引擎、“智善”人工智能伦理安全平台体系、AGILE全球人工智能治理评估指数等，相关成果发表于PNAS、Cell Press旗下期刊Patterns、iScience，Nature出版社旗下Scientific Data、Scientific Reports，以及Science出版社旗下Science Advances、人工智能领域重要期刊IEEE TPAMI、TEVC、TVLSI、TCAD、TCDS、TAI、Neural Networks以及人工智能领域重要国际会议NeurIPS、CVPR、IJCAI和AAAI等，获Cell出版社2021年度交叉科学最受欢迎中国论文、2022及2023年“中国年度论文”。
https://braincog.ai/~yizeng/
类脑认知智能、人工智能哲学、伦理安全与治理
(1) 中国科学院, 战略性先导科技专项（B类）, 类脑学习与决策的认知计算模型, 2018-06
至 2023-05, 678万元, 主持
(2) 北京市科学技术委员会, 脑科学与类脑研究北方科学中心 地方配套（科研）, 类脑计算原型系统与多脑区协同认知系统的核心技术研究, 2018-08 至 2021-08, 380万元, 主持
(3) 中国电子科技集团公司第二十八研究所, 电科联合基金项目, 超脑网络系统原型, 2018-05 至 2020-12, 371.25万元, 主持
(4) 意识与麻醉的类脑认知， 横向课题，400万 ，主持，2018.01-2021.06
(5) 北京市科学技术委员会，中央引导地方专项，基于外部监督对齐与内部机制对齐的超级对齐关键技术研究及示范应用，2024-09至2026-09，1000万元，主持
1. Wenxuan Pan, Feifei Zhao, Bing Han, Yiting Dong, Yi Zeng. Emergence of brain-inspired small-world spiking neural network through neuroevolution. iScience, Cell Press, 2024.
2. Qian Zhang, Han Lu, jihang Wang, Taoyi Yang, Weida Bi, Yi Zeng, Buwei Yu. Hierarchical rhythmic propagation of corticothalamic interactions for consciousness: A computational study. Computers in Biology and Medicine, 2023.
3. Guobin Shen, Dongcheng Zhao, Yiting Dong, Yang Li, Jindong Li, Kang Sun, Yi Zeng. Astrocyte-Enabled Advancements in Spiking Neural Networks for Large Language Modeling. Arxiv, 2023.
4. Yuxuan Zhao, Enmeng Lu, Yi Zeng. Brain-inspired bodily self-perception model for robot rubber hand illusion. Patterns, Cell Press, 2023.
5. Guobin Shen, Dongcheng Zhao, Yiting Dong, Yi Zeng. Brain-inspired neural circuit evolution for spiking neural networks. Proceedings of the National Academy of Sciences (PNAS), 2023.
6. 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.
7. Yiting Dong, Dongcheng Zhao, Yang Li, Yi Zeng. An unsupervised STDP-based spiking neural network inspired by biologically plausible learning rules and connections. Neural Networks, 165:799-808, 2023.
8. Jindong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng. FireFly: A High-Throughput Hardware Accelerator for Spiking Neural Networks With Efficient DSP and Memory Optimization. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2023.
9. Zhuoya Zhao, Feifei Zhao, Yuxuan Zhao, Yi Zeng, Yinqian Sun. A brain-inspired theory of mind spiking neural network improves multi-agent cooperation and competition, Patterns, Cell Press, 2023.
10. Guobin Shen, Dongcheng Zhao, Yi Zeng. EventMix: An efficient data augmentation strategy for event-based learning, Information Sciences, Volume 644, 119170, October 2023.
11. Jinyu Fan, Yi Zeng. Challenging Deep Learning Models with Image Distortion Based on the Abutting Grating Illusion, Patterns, Cell Press, 2023.
12. Yang Li, Yiting Dong, Dongcheng Zhao, Yi Zeng. N-Omniglot: a Large-scale Neuromorphic Dataset for Spatio-temporal Sparse Few-shot Learning. Scientific Data, 9(746), Nature Publishing Group, 2022.
13. Feifei Zhao, Yi Zeng, Bing Han, Hongjian Fang, Zhuoya Zhao. Nature-inspired Self-organizing Collision Avoidance for Drone Swarm Based on Reward-modulated Spiking Neural Network, Patterns, Cell Press, 2022.
14. Dongcheng Zhao, Yi Zeng, Yang Li, Jihang Wang, Qian Zhang. Spiking Capsnet: A Spiking Neural Network With a Biologically Plausible Routing Rule Between Capsules, Information Sciences, 2022.
15. Dongcheng Zhao, Yi Zeng, Yang Li. BackEISNN: A Deep Spiking Neural Network with Adaptive Self-Feedback and Balanced Excitatory-Inhibitory Neurons, Neural Networks, Volume 154, 68-77, 2022.
16. Guobin Shen, Dongcheng Zhao, Yi Zeng. Backpropagation with Biologically Plausible Spatiotemporal Adjustment for Training Deep Spiking Neural Networks. Patterns, Cell Press, 2022.
17. Yang Li, Yi Zeng. Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes. Proceedings of the 31st International Joint Conferences on Artificial Intelligence (IJCAI-22), 2022.
18. Yinqian Sun, Yi Zeng, Tielin Zhang. Quantum Superposition Inspired Spiking Neural Network. iScience, 24(8), 102880, Cell Press, 2021.
19. Yuxuan Zhao, Yi Zeng, Guang Qiao. Brain-Inspired Classical Conditioning Model. iScience, 24(1), 101980, Cell Press, 2021.
20. Tielin Zhang, Xiang Cheng, Shuncheng Jia, Mu-Ming Poo, Yi Zeng, Bo Xu. Self-backpropagation of synaptic modifications elevates the efficiency of spiking and artificial neural networks. Science Advances, 7(43), AAAS, 2021.
1. 受丘脑注意机制调控的信息融合的视觉跟踪方法及系统。赵东城，曾毅。ZL20191 0170679.1。
2. 丘脑动态分配的多视皮层信息融合的视觉跟踪方法及系统。赵东城，曾毅。ZL201911013553.X。
3. 基于皮层丘脑计算模型的图像分类方法。赵东城，曾毅，孔庆群。ZL201711332985.8。
4. 基于类脑语义层次时序记忆推理模型的问答方法、系统。王寓巍，张铁林，曾毅。ZL201811471835.X。
5. 基于膜电势预处理的ANN-SNN转换的分类方法。李杨，赵东城，曾毅。ZL202010995633.6。
6. 基于视觉恐惧反应脑机制的应急避障方法。赵菲菲，孔庆群，曾毅，白俊。ZL201611059266.9。
7. 复杂环境下无人机自动障碍物检测和障方法。曾毅，赵菲菲，王桂香。ZL201611052401.7。
8. 基于多模态融合的多脑区协同自主决策方法。赵菲菲，梁倩，王桂香，曾毅。ZL201711325022.5。
9. 运动检测方法及躲避和跟踪运动目标的方法。白俊，曾毅，赵菲菲，孔庆群。ZL201611046531.X。
10. 基于多脑区协同计算的人类动作意图识别训练方法。赵宇轩，曾毅，王桂香，赵菲菲。ZL201711319214.5。
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