基本信息

曾毅 

中国科学院自动化研究所 研究员

中国科学院大学 岗位教授 博士生导师


招生专业:

(1) 模式识别与智能系统: 类脑人工智能 (中国科学院自动化研究所、中国科学院大学未来技术学院);

(2) 科学技术哲学: 人工智能哲学与伦理 (中国科学院大学人文学院/中国科学院哲学研究所)


电子邮件:yi.zeng@ia.ac.cn
个人主页:https://braincog.ai/~yizeng

研究领域

实现并超越人类水平的智能是人工智能研究的终极目标。世界上除了人脑以外,目前没有任何一个智能系统能够高度协同多模态感知、决策、推理、预测、语言、动作等认知能力,具有高度自适应性、自主学习能力,甚至是自我意识,并稳定工作至少几十年。因此,研究脑信息处理原理,构建类脑人工智能模型,最终应用于人工智能系统研发,是实现人类水平人工智能,最终超越人类智能的重要途径。与此同时,我们要充分关注人工智能风险、安全与伦理,确保类脑人工智能的研究向对人类及社会有益的方向发展。

我的主要研究领域围绕类脑人工智能、人工智能哲学与伦理展开。主要涉及:

(1) 类脑人工智能: 主要围绕面向通用人工智能和超级智能的类脑认知智能开展研究,类脑脉冲神经网络、类脑人工神经网络、类脑自主学习、发育与演化理论、算法、模型与应用。

(2) 人工智能哲学与伦理:研究人工智能哲学,人工智能存在的近期和长远风险、安全、伦理问题,并研究低风险、高度安全、具有道德与伦理的与人类和谐共生的人工智能。

招生信息

   
招生专业
081104-模式识别与智能系统
010105-伦理学
招生方向
类脑人工智能
人工智能哲学与伦理
脑认知计算建模

教育背景

   
学历
博士研究生学历
学位
工学博士学位

工作经历

中国科学院自动化研究所 研究员、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

中国科学院大学 岗位教授 (自动化研究所、未来技术学院、人文学院/哲学研究所)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

社会兼职
2023-10-28-今,联合国人工智能高层顾问机构, 专家
2021-07-12-今,牛津大学人工智能伦理研究所, 顾问委员会委员
2020-08-07-今,AI & Ethics, Editorial Board Member
2020-03-14-今,联合国教科文组织(UNESCO)人工智能伦理特别专家组, 专家
2019-09-29-今,世界卫生组织(WHO)健康领域人工智能伦理与治理专家组, 专家
2019-09-24-今,Journal of Artificial Intelligence and Consciousness, Editorial Board Member
2019-02-14-今,国家新一代人工智能治理委员会, 委员
2018-10-13-2019-10-13,世界经济论坛全球未来理事会, 价值、伦理与创新委员会委员
2016-08-28-2020-07-30,Cognitive Systems Research (Elsevier), Associate Editor

教授课程

人工智能哲学与伦理
系统与计算神经科学
类脑智能导论

出版信息

   
发表论文
[1] Shen, Guobin, Zhao, Dongcheng, Zeng, Yi. Exploiting nonlinear dendritic adaptive computation in training deep Spiking Neural Networks. NEURAL NETWORKS[J]. 2024, 第 3 作者  通讯作者  170: 190-201, http://dx.doi.org/10.1016/j.neunet.2023.10.056.
[2] IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2024,   通讯作者  
[3] 申国斌, 赵东城, 董一廷, 曾毅. Brain-inspired neural circuit evolution for spiking neural networks. Proceedings of the National Academy of Sciences (PNAS)[J]. 2023, 第 4 作者  通讯作者  null(null): 
[4] Patterns. 2023, 第 1 作者  通讯作者  
[5] Jinyu Fan, Yi Zeng. Challenging deep learning models with image distortion based on the abutting grating illusion. PATTERNS[J]. 2023, 第 2 作者  通讯作者  4(3): http://dx.doi.org/10.1016/j.patter.2023.100695.
[6] 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. 2023, 第 4 作者  通讯作者  165: 799-808, http://dx.doi.org/10.1016/j.neunet.2023.06.019.
[7] 赵卓雅, 赵菲菲, 赵宇轩, 曾毅, 孙胤乾. A brain-inspired theory of mind spiking neural network improves multi-agent cooperation and competition. Patterns[J]. 2023, 第 4 作者  通讯作者  https://www.cell.com/patterns/fulltext/S2666-3899(23)00126-5.
[8] 包傲日格乐, 曾毅. 信任人工智能何以可能. 中国社会科学文摘. 2023, 第 2 作者42-43, http://lib.cqvip.com/Qikan/Article/Detail?id=7110408269.
[9] 包傲日格乐, 曾毅. 信任人工智能何以可能?. 自然辩证法研究[J]. 2023, 第 2 作者  通讯作者  39(2): 67-73, http://lib.cqvip.com/Qikan/Article/Detail?id=7109299991.
[10] Zhao, Zhuoya, Lu, Enmeng, Zhao, Feifei, Zeng, Yi, Zhao, Yuxuan. A Brain-Inspired Theory of Mind Spiking Neural Network for Reducing Safety Risks of Other Agents. FRONTIERS IN NEUROSCIENCE[J]. 2022, 第 4 作者  通讯作者  16: http://dx.doi.org/10.3389/fnins.2022.753900.
[11] Zhao, Dongcheng, Li, Yang, Zeng, Yi, Wang, Jihang, Zhang, Qian. Spiking CapsNet: A spiking neural network with a biologically plausible routing rule between capsules. INFORMATION SCIENCES[J]. 2022, 第 3 作者  通讯作者  610: 1-13, http://dx.doi.org/10.1016/j.ins.2022.07.152.
[12] 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[J]. 2022, 第 2 作者  通讯作者  3(11): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9676561/.
[13] Li, Yang, Dong, Yiting, Zhao, Dongcheng, Zeng, Yi. N-Omniglot, a large-scale neuromorphic dataset for spatio-temporal sparse few-shot learning. SCIENTIFIC DATA[J]. 2022, 第 4 作者  通讯作者  9(1): http://dx.doi.org/10.1038/s41597-022-01851-z.
[14] 曾毅, 包傲日格乐. 从虚拟现实到“元宇宙”:伦理风险与虚实共治. 哲学动态. 2022, 第 1 作者43-48, http://lib.cqvip.com/Qikan/Article/Detail?id=7108259351.
[15] 曾毅, 张倩, 赵菲菲, 赵东城, 李金东, 毕韦达. 从认知脑的计算模拟到类脑人工智能. 人工智能[J]. 2022, 第 1 作者  通讯作者  28-40, 
[16] 申国斌, 赵东城, 曾毅. Backpropagation with biologically plausible spatiotemporal adjustment for training deep spiking neural networks. Patterns[J]. 2022, 第 3 作者  通讯作者  3(6): https://www.cell.com/patterns/fulltext/S2666-3899(22)00119-2.
[17] Dongcheng Zhao, Yang Li, Yi Zeng, Jihang Wang, Qian Zhang. Spiking CapsNet: A Spiking Neural Network With A Biologically Plausible Routing Rule Between Capsules. INFORMATION SCIENCES[J]. 2022, 第 3 作者  通讯作者  null(null): http://dx.doi.org/10.1016/j.ins.2022.07.152.
[18] Fang, Hongjian, Zeng, Yi, Zhao, Feifei. Brain Inspired Sequences Production by Spiking Neural Networks With Reward-Modulated STDP. FRONTIERS IN COMPUTATIONAL NEUROSCIENCE[J]. 2021, 第 2 作者  通讯作者  15: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921721/.
[19] Zhao, Yuxuan, Zeng, Yi, Qiao, Guang. Brain-inspired classical conditioning model. ISCIENCE[J]. 2021, 第 2 作者  通讯作者  24(1): https://doaj.org/article/cbc09d7272de4f98af9e1153b7142881.
[20] Sun, Yinqian, Zeng, Yi, Zhang, Tielin. Quantum superposition inspired spiking neural network. ISCIENCE[J]. 2021, 第 2 作者  通讯作者  24(8): http://dx.doi.org/10.1016/j.isci.2021.102880.
[21] Zhao, Feifei, Zeng,Yi. Dynamically Optimizing Network Structure Based on Synaptic Pruning Mechanism in the Brain. Frontiers in System Neuroscience[J]. 2021, 第 2 作者  通讯作者  https://www.frontiersin.org/articles/10.3389/fnsys.2021.620558/full.
[22] Zhang, Tielin, Zeng, Yi, Pan, Ruihan, Shi, Mengting, Lu, Enmeng. Brain-Inspired Active Learning Architecture for Procedural Knowledge Understanding Based on Human-Robot Interaction. COGNITIVE COMPUTATION[J]. 2021, 第 2 作者  通讯作者  13(2): 381-393, http://dx.doi.org/10.1007/s12559-020-09753-1.
[23] Liang, Qian, Zeng, Yi. Stylistic Composition of Melodies Based on a Brain-Inspired Spiking Neural Network. FRONTIERS IN SYSTEMS NEUROSCIENCE[J]. 2021, 第 2 作者  通讯作者  15: https://doaj.org/article/ea67511620de4fecad072e080c71c176.
[24] Zhao Feifei, Zeng, Yi, Bai, Jun. Toward a Brain-Inspired Developmental Neural Network Based on Dendritic Spine Dynamics. Neural Computation. MIT Press[J]. 2021, 第 2 作者  通讯作者  
[25] Zhang, Qian, Zeng, Yi, Zhang, Tielin, Yang, Taoyi. Comparison Between Human and Rodent Neurons for Persistent Activity Performance: A Biologically Plausible Computational Investigation. FRONTIERS IN SYSTEMS NEUROSCIENCE[J]. 2021, 第 2 作者  通讯作者  15: http://dx.doi.org/10.3389/fnsys.2021.628839.
[26] Zhang, Tielin, Cheng, Xiang, Jia, Shuncheng, Poo, MuMing, Zeng, Yi, Xu, Bo. Self-backpropagation of synaptic modifications elevates the efficiency of spiking and artificial neural networks. SCIENCE ADVANCES[J]. 2021, 第 5 作者7(43): http://dx.doi.org/10.1126/sciadv.abh0146.
[27] Shi, Mengting, Zhang, Tielin, Zeng, Yi. A Curiosity-Based Learning Method for Spiking Neural Networks. FRONTIERS IN COMPUTATIONAL NEUROSCIENCE[J]. 2020, 第 3 作者  通讯作者  14(14): https://doaj.org/article/a7b7fa53b97a461c8e9cfcf8489460c9.
[28] Huangfu, Cunqing, Zeng, Yi, Wang, Yuwei. Creating Neuroscientific Knowledge Organization System Based on Word Representation and Agglomerative Clustering Algorithm. FRONTIERS IN NEUROINFORMATICS[J]. 2020, 第 2 作者  通讯作者  14: https://doaj.org/article/8603947dc29941d9a3c13fc4a4924aa2.
[29] Zeng, Yi, Zhao, Yuxuan, Zhang, Tielin, Zhao, Dongcheng, Zhao, Feifei, Lu, Enmeng. A Brain-Inspired Model of Theory of Mind. FRONTIERS IN NEUROROBOTICS[J]. 2020, 第 1 作者  通讯作者  14: https://doaj.org/article/eb3e2c8e57514e6fa56a1fa903365cb0.
[30] Zhao, Feifei, Zeng, Yi, Guo, Aike, Su, Haifeng, Xu, Bo. A neural algorithm for Drosophila linear and nonlinear decision-making. SCIENTIFIC REPORTS[J]. 2020, 第 2 作者  通讯作者  10(1): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7596070/.
[31] Zhao, Dongcheng, Zeng, Yi, Zhang, Tielin, Shi, Mengting, Zhao, Feifei. GLSNN: A Multi-Layer Spiking Neural Network Based on Global Feedback Alignment and Local STDP Plasticity. FRONTIERS IN COMPUTATIONAL NEUROSCIENCE[J]. 2020, 第 2 作者  通讯作者  14: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7689090/.
[32] Shi, Mengting, Zhang, Tielin, Zeng, Yi. A Curiosity-Based Learning Method for Spiking Neural Networks (vol 14, 7, 2020). FRONTIERS IN COMPUTATIONAL NEUROSCIENCE. 2020, 第 3 作者  通讯作者  14: https://www.webofscience.com/wos/woscc/full-record/WOS:000531238100001.
[33] Zhang, Tielin, Yang, Yang, Zeng, Yi, Zhao, Yuxuan. Cognitive Template-Clustering Improved LineMod for Efficient Multi-object Pose Estimation. COGNITIVE COMPUTATION[J]. 2020, 第 3 作者12(4): 834-843, http://dx.doi.org/10.1007/s12559-020-09717-5.
[34] Zeng, Yi. Overcoming Barriers to Cross-cultural Cooperation in AI Ethics and Governance. Philosophy & Technology[J]. 2020, 第 1 作者
[35] Zhao, Feifei, Kong, Qingqun, Zeng, Yi, Xu, Bo. A Brain-Inspired Visual Fear Responses Model for UAV Emergent Obstacle Dodging. IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS[J]. 2020, 第 3 作者  通讯作者  12(1): 124-132, http://dx.doi.org/10.1109/TCDS.2019.2939024.
[36] Zhang, Qian, Zeng, Yi, Yang, Taoyi. Computational Investigation of Contributions from Different Subtypes of Interneurons in Prefrontal Cortex for Information Maintenance. SCIENTIFIC REPORTS[J]. 2020, 第 2 作者  通讯作者  10(1): http://dx.doi.org/10.1038/s41598-020-61647-2.
[37] Liang, Qian, Zeng, Yi, Xu, Bo. Temporal-Sequential Learning With a Brain-Inspired Spiking Neural Network and Its Application to Musical Memory. FRONTIERS IN COMPUTATIONAL NEUROSCIENCE[J]. 2020, 第 2 作者  通讯作者  14: https://doaj.org/article/7bae997ef081441a86422cc0f8ed0211.
[38] Zhu, Hongyin, Zeng, Yi, Wang, Dongsheng, Huangfu, Cunqing. Species Classification for Neuroscience Literature Based on Span of Interest Using Sequence-to-Sequence Learning Model. FRONTIERS IN HUMAN NEUROSCIENCE[J]. 2020, 第 2 作者  通讯作者  14: https://doaj.org/article/9417b4ff22b4414aa368ff31f4464a50.
[39] Wang, Yuwei, Zeng, Yi, Tang, Jianbo, Xu, Bo. Biological Neuron Coding Inspired Binary Word Embeddings. COGNITIVE COMPUTATION[J]. 2019, 第 2 作者  通讯作者  11(5): 676-684, 
[40] Zhao, Dongcheng, Zeng, Yi, IEEE. Dynamic fusion of convolutional features based on spatial and temporal attention for visual tracking. 2019 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN). 2019, 第 2 作者
[41] Bai, Jun, Zeng, Yi, Zhao, Yuxuan, Zhao, Feifei, IEEE. Training a V1 Like Layer Using Gabor Filters in Convolutional Neural Networks. 2019 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN). 2019, 第 2 作者
[42] Liu, ChengLin, Hussain, Amir, Luo, Bin, Tan, Kay Chen, Zeng, Yi, Zhang, Zhaoxiang. Special Issue of BICS 2016. COGNITIVE COMPUTATION. 2018, 第 5 作者10(2): 282-283, http://www.corc.org.cn/handle/1471x/2202173.
[43] Zeng, Yi, Zhao, Yuxuan, Bai, Jun, Xu, Bo. Toward Robot Self-Consciousness (II): Brain-Inspired Robot Bodily Self Model for Self-Recognition. COGNITIVE COMPUTATION[J]. 2018, 第 1 作者  通讯作者  10(2): 307-320, https://www.webofscience.com/wos/woscc/full-record/WOS:000430190600011.
[44] Kong, Qingqun, Han, Jiuqi, Zeng, Yi, Xu, Bo. Efficient coding matters in the organization of the early visual system. NEURAL NETWORKS[J]. 2018, 第 3 作者  通讯作者  105: 218-226, http://dx.doi.org/10.1016/j.neunet.2018.04.019.
[45] Shi Mengting, Ceng Yi, Zhang Tielin, Tielin Zhang Yi Zeng, Zhao Dongcheng. A Plasticity-centric Approach to Train the Non-differential Spiking Neural Networks. 2018, 第 2 作者http://ir.ia.ac.cn/handle/173211/22081.
[46] Zhang Tielin, Zhao Dongcheng, Xu Bo, Tielin Zhang Yi Zeng, Ceng Yi. Brain-inspired Balanced Tuning for Spiking Neural Networks. 2018, 第 5 作者http://ir.ia.ac.cn/handle/173211/22080.
[47] Wang, Xiaosha, Xu, Yangwen, Wang, Yuwei, Zeng, Yi, Zhang, Jiacai, Ling, Zhenhua, Bi, Yanchao. Representational similarity analysis reveals task-dependent semantic influence of the visual word form area. SCIENTIFIC REPORTS[J]. 2018, 第 4 作者8(1): https://doaj.org/article/27a37d2085a14e26809dd772ef1ff0d1.
[48] Zeng, Yi, Wang, Guixiang, Xu, Bo. A Basal Ganglia Network Centric Reinforcement Learning Model and Its Application in Unmanned Aerial Vehicle. IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS[J]. 2018, 第 1 作者  通讯作者  10(2): 290-303, https://www.webofscience.com/wos/woscc/full-record/WOS:000435198600015.
[49] 曾毅;Zeng,Yi. Towards Robot Self-consciousness (II): Brain-inspired Robot Bodily Self Model for Self-Recognition. Cognitive Computation. 2018, 
[50] Zhao, Feifei, Zeng, Yi, Xu, Bo. A Brain-Inspired Decision-Making Spiking Neural Network and Its Application in Unmanned Aerial Vehicle. FRONTIERS IN NEUROROBOTICS[J]. 2018, 第 2 作者  通讯作者  12(12): http://ir.ia.ac.cn/handle/173211/23363.
[51] 曾毅. 曾毅:类脑人工智能及其伦理的思考. 环球财经[J]. 2018, 第 1 作者88-91, http://lib.cqvip.com/Qikan/Article/Detail?id=676657623.
[52] Zhang Tielin, Zeng Yi, Zhao Dongcheng, Shi Mengting, AAAI. A Plasticity-Centric Approach to Train the Non-Differential Spiking Neural Networks. THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE. 2018, 第 2 作者620-627, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485488900077.
[53] Kang, Xiaomei, Kong, Qingqun, Zeng, Yi, Xu, Bo. A Fast Contour Detection Model Inspired by Biological Mechanisms in Primary Vision System. FRONTIERS IN COMPUTATIONAL NEUROSCIENCE[J]. 2018, 第 3 作者  通讯作者  12(12): https://doaj.org/article/375b0c7e0e1741e8a2aa81fe0d27db41.
[54] Zhao, Feifei, Zeng, Yi, Wang, Guixiang, Bai, Jun, Xu, Bo. A Brain-Inspired Decision Making Model Based on Top-Down Biasing of Prefrontal Cortex to Basal Ganglia and Its Application in Autonomous UAV Explorations. COGNITIVE COMPUTATION[J]. 2018, 第 2 作者  通讯作者  10(2): 296-306, http://ir.ia.ac.cn/handle/173211/23556.
[55] Zhao Feifei, Zhang Tielin, Xu Bo, Zeng,Yi. Towards a Brain-inspired Developmental Neural Network by Adaptive Synaptic Pruning. 2017, 第 4 作者  通讯作者  http://ir.ia.ac.cn/handle/173211/23557.
[56] 张铁林, Tielin Zhang Yi Zeng, 徐波, 曾毅. A Computational Effort towards the Microscale Mouse Brain Connectome from the Mesoscale. JOURNAL OF INTEGRATIVE NEUROSCIENCE[J]. 2017, 第 4 作者16(3): 291-306, http://ir.ia.ac.cn/handle/173211/22082.
[57] Zeng, Yi, Zhang, Tielin, Xu, Bo. Improving multi-layer spiking neural networks by incorporating brain-inspired rules. SCIENCE CHINA-INFORMATION SCIENCES[J]. 2017, 第 1 作者  通讯作者  60(5): https://www.sciengine.com/doi/10.1007/s11432-016-0439-4.
[58] Zhang, Tielin, Zeng, Yi, Xu, Bo. A computational approach towards the microscale mouse brain connectome from the mesoscale. JOURNAL OF INTEGRATIVE NEUROSCIENCE[J]. 2017, 第 2 作者  通讯作者  16(3): 291-306, https://www.webofscience.com/wos/woscc/full-record/WOS:000402301000004.
[59] Zeng, Yi, Zhang, Tielin, Xu, Bo. Improving multi-layer spiking neural networks by incorporating brain-inspired rules. SCIENCE CHINA-INFORMATION SCIENCES[J]. 2017, 第 1 作者  通讯作者  60(5): https://www.webofscience.com/wos/woscc/full-record/WOS:000405775100001.
[60] Yi Zeng, Ling Wang. Fei-Fei Li: Artificial Intelligence is on its way to reshape the world. 国家科学评论:英文版[J]. 2017, 第 1 作者4(3): 490-492, http://lib.cqvip.com/Qikan/Article/Detail?id=673005853.
[61] Zeng, Yi, Wang, Ling. Fei-Fei Li: Artificial Intelligence is on its way to reshape the world. NATIONAL SCIENCE REVIEW[J]. 2017, 第 1 作者4(3): 490-492, http://lib.cqvip.com/Qikan/Article/Detail?id=673005853.
[62] Qiao Guang, Du Hongyue, Zeng Yi, Cong F, Leung A, Wei Q. A Quaternionic Rate-Based Synaptic Learning Rule Derived from Spike-Timing Dependent Plasticity. ADVANCES IN NEURAL NETWORKS, PT I. 2017, 第 11 作者10261: 457-465, 
[63] Zeng Yi, Zhao Feifei, Wang Guixiang, Zhang Lingyu, Xu Bo, Ascoli GA, Hawrylycz M, Ali H, Khazanchi D, Shi Y. Brain-Inspired Obstacle Detection Based on the Biological Visual Pathway. BRAININFORMATICSANDHEALTH. 2016, 第 1 作者9919: 355-364, 
[64] 徐波, 曾毅, 王寓巍. SHTM: A Neocortex-inspired Algorithm for One-shot Text Generation. 2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC). 2016, 第 2 作者898-903, 
[65] Zeng Yi, Zhu Hongyin, Xu Bo, Wang Dongsheng. Brain Knowledge Graph Analysis Based on Complex Network Theory. 2016, 第 1 作者http://ir.ia.ac.cn/handle/173211/14354.
[66] 曾毅;Zeng,Yi. Towards Robot Self-Consciousness (I): Brain-inspired Robot Mirror Neuron System Model and Its Application in Mirror Self-Recognition. Lecture Notes in Computer Science. 2016, 
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