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) 类脑认知智能模型: 类脑脉冲神经网络、类脑人工神经网络、类脑自主学习理论与算法，并将上述研究成果应用于类脑信息处理、类脑智能机器人的研究中。

(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。

   

081104-模式识别与智能系统

类脑人工智能
人工智能哲学与伦理
脑认知计算建模

   

博士研究生学历

工学博士学位

中国科学院自动化研究所 研究员、类脑智能研究中心副主任、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)博士生导师

中国科学院脑科学与智能技术卓越创新中心青年骨干

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

人工智能哲学与伦理
系统与计算神经科学
类脑智能导论

   

[1] Jinyu Fan, Yi Zeng. Challenging deep learning models with image distortion based on the abutting grating illusion. PATTERNS[J]. 2023, 4(3): http://dx.doi.org/10.1016/j.patter.2023.100695.
[2] 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, https://www.cell.com/patterns/fulltext/S2666-3899(23)00126-5.
[3] 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, 39(2): 67-73, http://lib.cqvip.com/Qikan/Article/Detail?id=7109299991.
[4] 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, 16: http://dx.doi.org/10.3389/fnins.2022.753900.
[5] 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, 610: 1-13, http://dx.doi.org/10.1016/j.ins.2022.07.152.
[6] 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, 3(11): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9676561/.
[7] Li, Yang, Dong, Yiting, Zhao, Dongcheng, Zeng, Yi. N-Omniglot, a large-scale neuromorphic dataset for spatio-temporal sparse few-shot learning. SCIENTIFIC DATA. 2022, 9(1): http://dx.doi.org/10.1038/s41597-022-01851-z.
[8] 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, 43-48, http://lib.cqvip.com/Qikan/Article/Detail?id=7108259351.
[9] 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, 28-40, [10] 申国斌, 赵东城, 曾毅. Backpropagation with biologically plausible spatiotemporal adjustment for training deep spiking neural networks. Patterns[J]. 2022, 3(6): https://www.cell.com/patterns/fulltext/S2666-3899(22)00119-2.
[11] Fang, Hongjian, Zeng, Yi, Zhao, Feifei. Brain Inspired Sequences Production by Spiking Neural Networks With Reward-Modulated STDP. FRONTIERS IN COMPUTATIONAL NEUROSCIENCE[J]. 2021, 15: http://gooa.las.ac.cn/external/index?type=-1&pid=1740814.
[12] Zhao, Yuxuan, Zeng, Yi, Qiao, Guang. Brain-inspired classical conditioning model. ISCIENCE[J]. 2021, 24(1): https://doaj.org/article/cbc09d7272de4f98af9e1153b7142881.
[13] 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, 13(2): 381-393, http://dx.doi.org/10.1007/s12559-020-09753-1.
[14] Sun, Yinqian, Zeng, Yi, Zhang, Tielin. Quantum superposition inspired spiking neural network. ISCIENCE[J]. 2021, 24(8): http://dx.doi.org/10.1016/j.isci.2021.102880.
[15] Zhao, Feifei, Zeng,Yi. Dynamically Optimizing Network Structure Based on Synaptic Pruning Mechanism in the Brain. Frontiers in System Neuroscience[J]. 2021, https://www.frontiersin.org/articles/10.3389/fnsys.2021.620558/full.
[16] Liang, Qian, Zeng, Yi. Stylistic Composition of Melodies Based on a Brain-Inspired Spiking Neural Network. FRONTIERS IN SYSTEMS NEUROSCIENCE[J]. 2021, 15: https://doaj.org/article/ea67511620de4fecad072e080c71c176.
[17] 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, 15: http://dx.doi.org/10.3389/fnsys.2021.628839.
[18] Zhao Feifei, Zeng, Yi, Bai, Jun. Toward a Brain-Inspired Developmental Neural Network Based on Dendritic Spine Dynamics. Neural Computation. MIT Press[J]. 2021, [19] 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, 7(43): http://dx.doi.org/10.1126/sciadv.abh0146.
[20] Shi, Mengting, Zhang, Tielin, Zeng, Yi. A Curiosity-Based Learning Method for Spiking Neural Networks. FRONTIERS IN COMPUTATIONAL NEUROSCIENCE[J]. 2020, 14(14): https://doaj.org/article/a7b7fa53b97a461c8e9cfcf8489460c9.
[21] Huangfu, Cunqing, Zeng, Yi, Wang, Yuwei. Creating Neuroscientific Knowledge Organization System Based on Word Representation and Agglomerative Clustering Algorithm. FRONTIERS IN NEUROINFORMATICS[J]. 2020, 14: https://doaj.org/article/8603947dc29941d9a3c13fc4a4924aa2.
[22] 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, 14: https://doaj.org/article/eb3e2c8e57514e6fa56a1fa903365cb0.
[23] Zhao, Feifei, Zeng, Yi, Guo, Aike, Su, Haifeng, Xu, Bo. A neural algorithm for Drosophila linear and nonlinear decision-making. SCIENTIFIC REPORTS[J]. 2020, 10(1): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7596070/.
[24] 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, 14: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7689090/.
[25] Shi, Mengting, Zhang, Tielin, Zeng, Yi. A Curiosity-Based Learning Method for Spiking Neural Networks (vol 14, 7, 2020). FRONTIERS IN COMPUTATIONAL NEUROSCIENCE. 2020, 14: https://www.webofscience.com/wos/woscc/full-record/WOS:000531238100001.
[26] Zhang, Tielin, Yang, Yang, Zeng, Yi, Zhao, Yuxuan. Cognitive Template-Clustering Improved LineMod for Efficient Multi-object Pose Estimation. COGNITIVE COMPUTATION[J]. 2020, 12(4): 834-843, http://dx.doi.org/10.1007/s12559-020-09717-5.
[27] Zeng, Yi. Overcoming Barriers to Cross-cultural Cooperation in AI Ethics and Governance. Philosophy & Technology[J]. 2020, [28] 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, 12(1): 124-132, http://dx.doi.org/10.1109/TCDS.2019.2939024.
[29] 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, 10(1): http://dx.doi.org/10.1038/s41598-020-61647-2.
[30] 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, 14: https://doaj.org/article/7bae997ef081441a86422cc0f8ed0211.
[31] 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, 14: https://doaj.org/article/9417b4ff22b4414aa368ff31f4464a50.
[32] Wang, Yuwei, Zeng, Yi, Tang, Jianbo, Xu, Bo. Biological Neuron Coding Inspired Binary Word Embeddings. COGNITIVE COMPUTATION[J]. 2019, 11(5): 676-684, [33] 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)null. 2019, [34] 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)null. 2019, [35] Kong, Qingqun, Han, Jiuqi, Zeng, Yi, Xu, Bo. Efficient coding matters in the organization of the early visual system. NEURAL NETWORKS[J]. 2018, 105: 218-226, http://dx.doi.org/10.1016/j.neunet.2018.04.019.
[36] 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, 8(1): https://doaj.org/article/27a37d2085a14e26809dd772ef1ff0d1.
[37] Zhang Tielin, Zhao Dongcheng, Xu Bo, Tielin Zhang Yi Zeng, Ceng Yi. Brain-inspired Balanced Tuning for Spiking Neural Networks. 2018, http://ir.ia.ac.cn/handle/173211/22080.
[38] 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, http://ir.ia.ac.cn/handle/173211/22081.
[39] 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, 10(2): 290-303, https://www.webofscience.com/wos/woscc/full-record/WOS:000435198600015.
[40] 曾毅；Zeng,Yi. Towards Robot Self-consciousness (II): Brain-inspired Robot Bodily Self Model for Self-Recognition. Cognitive Computation. 2018, [41] 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, 12(12): http://ir.ia.ac.cn/handle/173211/23363.
[42] 曾毅. 曾毅：类脑人工智能及其伦理的思考. 环球财经[J]. 2018, 88-91, http://lib.cqvip.com/Qikan/Article/Detail?id=676657623.
[43] 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, 10(2): 296-306, http://ir.ia.ac.cn/handle/173211/23556.
[44] 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, 12(12): https://doaj.org/article/375b0c7e0e1741e8a2aa81fe0d27db41.
[45] 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 INTELLIGENCEnull. 2018, 620-627, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485488900077.
[46] Liu, ChengLin, Hussain, Amir, Luo, Bin, Tan, Kay Chen, Zeng, Yi, Zhang, Zhaoxiang. Special Issue of BICS 2016. COGNITIVE COMPUTATION. 2018, 10(2): 282-283, http://www.corc.org.cn/handle/1471x/2202173.
[47] 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, 10(2): 307-320, https://www.webofscience.com/wos/woscc/full-record/WOS:000430190600011.
[48] Zhao Feifei, Zhang Tielin, Xu Bo, Zeng,Yi. Towards a Brain-inspired Developmental Neural Network by Adaptive Synaptic Pruning. 2017, http://ir.ia.ac.cn/handle/173211/23557.
[49] 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, 16(3): 291-306, http://ir.ia.ac.cn/handle/173211/22082.
[50] Zeng, Yi, Zhang, Tielin, Xu, Bo. Improving multi-layer spiking neural networks by incorporating brain-inspired rules. SCIENCE CHINA-INFORMATION SCIENCES[J]. 2017, 60(5): https://www.webofscience.com/wos/woscc/full-record/WOS:000405775100001.
[51] Zhang, Tielin, Zeng, Yi, Xu, Bo. A computational approach towards the microscale mouse brain connectome from the mesoscale. JOURNAL OF INTEGRATIVE NEUROSCIENCE[J]. 2017, 16(3): 291-306, https://www.webofscience.com/wos/woscc/full-record/WOS:000402301000004.
[52] Zeng, Yi, Zhang, Tielin, Xu, Bo. Improving multi-layer spiking neural networks by incorporating brain-inspired rules. SCIENCE CHINA-INFORMATION SCIENCES[J]. 2017, 60(5): https://www.webofscience.com/wos/woscc/full-record/WOS:000405775100001.
[53] 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, 4(3): 490-492, http://lib.cqvip.com/Qikan/Article/Detail?id=673005853.
[54] Zeng, Yi, Wang, Ling. Fei-Fei Li: Artificial Intelligence is on its way to reshape the world. NATIONAL SCIENCE REVIEW[J]. 2017, 4(3): 490-492, http://lib.cqvip.com/Qikan/Article/Detail?id=673005853.
[55] 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 Inull. 2017, 10261: 457-465, [56] 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)null. 2016, 898-903, [57] 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. BRAININFORMATICSANDHEALTHnull. 2016, 9919: 355-364, [58] Zeng Yi, Zhu Hongyin, Xu Bo, Wang Dongsheng. Brain Knowledge Graph Analysis Based on Complex Network Theory. 2016, http://ir.ia.ac.cn/handle/173211/14354.
[59] 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, [60] 徐波, Tielin Zhang Yi Zeng, 张铁林, 曾毅, 赵东城, 王立伟, 赵宇轩. HMSNN: Hippocampus inspired Memory Spiking Neural Network. 2016, http://ir.ia.ac.cn/handle/173211/22084.
[61] 徐波, 刘成林, 曾毅. 类脑智能研究现状与发展思考. 中国科学院院刊[J]. 2016, 31(7): 793-802, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=5748781&detailType=1.
[62] Zhu Hongyin, Zeng Yi, Wang Dongsheng, Xu Bo, Ascoli GA, Hawrylycz M, Ali H, Khazanchi D, Shi Y. Relation Inference and Type Identification Based on Brain Knowledge Graph. BRAIN INFORMATICS AND HEALTHnull. 2016, 9919: 221-230, [63] Zeng Yi, Wang Dongsheng, zhu Hongyin. Brain Knowledge Engine. 2016, http://ir.ia.ac.cn/handle/173211/14446.
[64] Zhu Hongyin, Zeng Yi, Yang Yiping, IEEE. Research Topics Variation Analysis and Prediction Based on FARO and Neural Networks. 2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC)null. 2016, 910-915, [65] 曾毅, 刘成林, 谭铁牛. 类脑智能研究的回顾与展望. 计算机学报[J]. 2016, 39(1): 212-222, http://lib.cqvip.com/Qikan/Article/Detail?id=668051805.
[66] Zeng Yi, Wang Dongsheng, Zhu Hongyin, Ascoli GA, Hawrylycz M, Ali H, Khazanchi D, Shi Y. User Interests Analysis and Its Application on the Linked Brain Data Platform. BRAIN INFORMATICS AND HEALTHnull. 2016, 9919: 161-172, [67] Kay Chen Tan, Zhaoxiang Zhang, Yi Zeng, Bin Luo, Amir Hussain, ChengLin Liu. Proceedings. Lecture Notes in Computer Science 10023. ADVANCES IN BRAIN INSPIRED COGNITIVE SYSTEMS - 8TH INTERNATIONAL CONFERENCE. 2016, http://ir.ia.ac.cn/handle/173211/21592.
[68] Zhu Hongyin, Zeng Yi, Wang Dongsheng, Xu Bo, Ascoli GA, Hawrylycz M, Ali H, Khazanchi D, Shi Y. Brain Knowledge Graph Analysis Based on Complex Network Theory. BRAIN INFORMATICS AND HEALTHnull. 2016, 9919: 211-220, [69] Yi Zeng, Guixiang Wang, Bo Xu. A Spiking Neural Network Based Autonomous Reinforcement Learning Model and Its Application in Decision Making. CONFERENCES ON THE 8TH INTERNATIONAL CONFERENCE ON BRAIN-INSPIRED COGNITIVE SYSTEMnull. 2016, http://ir.ia.ac.cn/handle/173211/12619.
[70] Zhu Hongyin, Zeng Yi, Wang Dongsheng, Xu Bo. Relation Inference and Type Identification Based on Brain Knowledge Graph. BRAIN INFORMATICS AND HEALTHnull. 2016, 9919: 221-230, [71] Liu, Xin, Zeng, Yi, Zhang, Tielin, Xu, Bo. Parallel Brain Simulator: A Multi-scale and Parallel Brain-Inspired Neural Network Modeling and Simulation Platform. COGNITIVE COMPUTATION[J]. 2016, 8(5): 967-981, http://dx.doi.org/10.1007/s12559-016-9411-y.
[72] Zhang, Tielin, Zeng, Yi, Xu, Bo. HCNN: A Neural Network Model for Combining Local and Global Features Towards Human-Like Classification. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE[J]. 2016, 30(1): http://dx.doi.org/10.1142/S0218001416550041.
[73] Kong Qingqun, Zeng Yi, Dong Qiulei, IEEE. BIOLOGICALLY INSPIRED DEEP STEREO MODEL. 2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)null. 2015, 3700-3704, [74] Han Jiuqi, Kong Qingqun, Zeng Yi, Hao Hongwei, IEEE. HEVS: A Hierarchical Computational Model for Early Stages of the Visual System. 2015 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2015, [75] Jiuqi Han, Qingqun Kong, Yi Zeng, Hongwei Hao. HEVS: A Hierarchical Computational Model for Early Stages of the Visual System. PROCEEDINGSOFTHE2015INTERNATIONALJOINTCONFERENCEONNEURALNETWORKSIJCNN2015null. 2015, http://ir.ia.ac.cn/handle/173211/10768.
[76] Dong Qiulei, Kong Qingqun, Zeng Yi. Biologically Inspired Deep Stereo Model. PROCEEDINGS OF THE 2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2015)null. 2015, http://ir.ia.ac.cn/handle/173211/12473.
[77] Yi Zeng, Guixiang Wang, Yi Zeng, Bo Xu. A Basal Ganglia Network Centric Autonomous Learning Model and Its Application in Unmanned Aerial Vehicle. CONFERENCES ON THE 7TH INTERNATIONAL CONFERENCE ON BRAIN-INSPIRED COGNITIVE SYSTEMnull. 2015, http://ir.ia.ac.cn/handle/173211/12618.
[78] Zhang Tielin, Ceng Yi, Xu Bo. Biological Neural Network Structure and Spike Activity Prediction based on Multi-neuron Spike Train Data. INTERNATIONAL JOURNAL OF INTELLIGENCE SCIENCE[J]. 2015, 5(2): 102-111, http://ir.ia.ac.cn/handle/173211/10364.
[79] Ceng Yi, Wang Dongsheng, Zhang Tielin, Xu Bo. Linked Neuron Data (LND): A Platform for Integrating and Semantically Linking Neuroscience Data and Knowledge. FRONTIERS IN NEUROINFORMATICSnull. 2014, http://ir.ia.ac.cn/handle/173211/10362.
[80] Yi Zeng, Tielin Zhang, Bo Xu. Neural Pathway Prediction based on Multi-neuron Spike Train Data. BMC NEUROSCIENCEnull. 2014, 15(Suppl 1)(Suppl 1): P6-, http://ir.ia.ac.cn/handle/173211/10358.
[81] Ceng Yi, Bi Weida, Tang Xuan, Xu Bo. Neuronal Morphology Modeling Based on Microscopy Reconstruction Data in the Public Repositories. LECTURE NOTES IN ARTIFICIAL INTELLIGENCEnull. 2014, 8609: 1-11, http://ir.ia.ac.cn/handle/173211/10356.
[82] Tielin Zhang, Yi Zeng, Bo Xu. Neural Spike Prediction based on Spreading Activation. BMC NEUROSCIENCEnull. 2014, 15(Suppl 1)(Suppl 1): P7-, http://ir.ia.ac.cn/handle/173211/10357.
[83] Yi Zeng, Dongsheng Wang, Tielin Zhang, Hao Wang, Hongwei Hao, Bo Xu. CASIA-KB: A Multi-source Chinese Semantic Knowledge Base Built from Structured and Unstructured Web Data. SEMANTIC TECHNOLOGYnull. 2014, 8388: 75-88, [84] Ceng Yi, Bi Weida, Wang Yun, Tang Xuan, Xu Bo. Automatic Recovery of Z-Jumps for Neuronal Morphology Reconstruction. FRONTIERS IN NEUROINFORMATICSnull. 2014, http://ir.ia.ac.cn/handle/173211/10359.
[85] 曾毅；Zeng,Yi. Active Recommendation of Tourist Attractions based on Visitors Interests and Semantic Relatedness. Lecture Notes in Computer Science. 2014, [86] Zeng, Yi, Hao, Hongwei, Xu, Bo, IEEE. Entity Conceptualization and Understanding based on Web-scale Knowledge Bases. 2013 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2013)null. 2013, 3500-3504, [87] 曾毅；Zeng,Yi. Linking Entities in Short Texts based on a Chinese Semantic Knowledge Base. Communications in Computer and Information Science. 2013, [88] Zeng, Yi, Wang, Hao, Hao, Hongwei, Xu, Bo, Zhong, N, Gong, Z, Cheung, YM, Lingras, P, Szczepaniak, PS, Suzuki, E. Statistical and Structural Analysis of Web-based Collaborative Knowledge Bases Generated from Wiki Encyclopedia. 2012 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY (WI-IAT 2012), VOL 1null. 2012, 553-557, http://dx.doi.org/10.1109/WI-IAT.2012.248.
[89] Zeng, Yi, Hao, Hongwei, Zhong, Ning, Ren, Xu, Wang, Yan, ACM. Ranking and Combining Social Network Data for Web Personalization. PROCEEDINGS OF THE 2012 WORKSHOP ON DATA-DRIVEN USER BEHAVIORAL MODELLING AND MINING FROM SOCIAL MEDIAnull. 2012, 15-18, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000312601300006.
[90] Guobin Shen, Dongcheng Zhao, Yi Zeng. EventMix: An efficient data augmentation strategy for event-based learning. INFORMATION SCIENCES. http://dx.doi.org/10.1016/j.ins.2023.119170.
[91] 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. http://dx.doi.org/10.1016/j.ins.2022.07.152.