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自动化研究所人才库

  • 姓名: 曾毅
  • 性别: 男
  • 职称: 正高级
  • 电子邮件: yi.zeng@ia.ac.cn
    简  历:
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    姓名

    曾毅

    性别

    联系方式

    yi.zeng@ia.ac.cn 

    专业技术职务

    研究员

    部门/实验室

    类脑智能研究中心

    通讯地址

    北京市海淀区中关村东路95号

    邮编

    100190

    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,构建类脑智能计算模型,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智能研究展开。主要涉及:

    (1) 类脑认知计算模型: 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) 人工智能伦理与治理:研究不同人工智能模型存在的风险、安全、伦理问题,并通过算法落地的形式研究低风险、高度安全、具有道德与伦理的有益人工智能模型。

    教育背景

    工学博士学位

    工作简历

    现任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

    中国科学院大学 岗位教授 博士生导师

    中国科学院脑科学与智能技术研究中心青年骨干

    兼职经历

    2020-03-15-今,联合国教科文组织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
    2019-02-15-今,科技部新一代人工智能治理委员会, 委员
    2018-10-14-2019-10-14,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
    2016-08-30-今,Cognitive Systems Research (Elsevier), Associate Editor

    发表论文

    (1) Biological Neuron Coding Inspired Binary Word Embeddings, Cognitive Computation, 2019-10, 通讯作者
    (2) A Brain-inspired Visual Fear Responses Model for UAV Emergent Obstacle Dodging, IEEE Transactions on Cognitive and Developmental Systems, 2019-09, 通讯作者
    (3) Dynamic Fusion of Convolutional Features based on Spatial and Temporal Attention for Visual Tracking, Proceedings of the 2019 International Joint Conference on Neural Networks (IJCNN 2019), 2019-07, 通讯作者
    (4) Training a V1 Like Layer Using Gabor Filters in Convolutional Neural Networks, Proceedings of the 2019 International Joint Conference on Neural Networks (IJCNN 2019), 2019-07, 通讯作者
    (5) A Fast Contour Detection Model Inspired by Biological Mechanisms in Primary Vision System, Frontiers in Computational Neuroscience, 2018, 通讯作者
    (6) A Plasticity-centric Approach to Train the Non-differential Spiking Neural Networks, The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 2018, 通讯作者
    (7) Brain-inspired Balanced Tuning for Spiking Neural Networks, The 27th International Joint Conference on Artificial Intelligence (IJCAI-18), 2018, 通讯作者
    (8) Efficient Coding Matters in the Organization of the Early Visual System, Neural Networks, 2018, 通讯作者
    (9) A Basal Ganglia Network Centric Reinforcement Learning Model and Its Application in Unmanned Aerial Vehicle, IEEE Transactions on Cognitive and Developmental Systems, 2018, 第 1 作者
    (10) A Brain-inspired Decision-Making Spiking Neural Network and Its Application in Unmanned Aerial Vehicle, Frontiers in Neurorobotics, 2018, 通讯作者
    (11) 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, 2018, 通讯作者
    (12) Towards Robot Self-consciousness (II): Brain-inspired Robot Bodily Self Model for Self-Recognition, Cognitive Computation, 2018, 第 1 作者
    (13) A Computational Approach towards the Microscale Mouse Brain Connectome from the Mesoscale, Journal of Integrative Neuroscience, 2017, 通讯作者
    (14) Improving Multi-layer Spiking Neural Networks by Incorporating Brain-inspired Rules., SCIENCE CHINA Information Sciences, 2017, 第 1 作者
    (15) Towards a Brain-inspired Developmental Neural Network by Adaptive Synaptic Pruning, Proceedings of the 24th International Conference on Neural Information Processing (ICONIP 2017), 2017, 通讯作者
    (16) A Quaternionic Rate-based Synaptic Learning Rule Derived from Spike-Timing Dependent Plasticity, Lecture Notes in Computer Science, 2017, 通讯作者
    (17) HCNN: A Neural Network Model for Combining Local and Global Features towards Human-like Classification, International Journal of Pattern Recognition and Artificial Intelligence, 2016, 通讯作者
    (18) 类脑智能研究的回顾与展望, Retrospect and Outlook of Brain-inspired Intelligence Research, 计算机学报, 2016, 第 1 作者
    (19) 类脑智能研究现状与发展思考, Research Status and Developments of Brain-inspired Intelligence, 中国科学院院刊, 2016, 第 3 作者
    (20) A Spiking Neural Network Based Autonomous Reinforcement Learning Model and Its Application in Decision Making, Lecture Notes in Computer Science, 2016, 第 2 作者
    (21) 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, 第 1 作者
    (22) Parallel Brain Simulator: A Multi-scale and Parallel Brain-inspired Neural Network Modeling and Simulation Platform, Cognitive Computation, 2016, 通讯作者
    (23) Biological Neural Network Structure and Spike Activity Prediction based on Multi-neuron Spike Train Data, International Journal of Intelligence Science, 2015, 第 2 作者
    (24) HEVS: A Hierarchical Computational Model for Early Stages of the Visual System, Proceedings of the 2015 International Joint Conference on Neural Networks (IJCNN 2015), 2015, 第 3 作者
    (25) Biologically Inspired Deep Stereo Model, Proceedings of the 2015 IEEE International Conference on Image Processing (ICIP 2015), 2015, 第 2 作者
    (26) Neural Spike Prediction based on Spreading Activation, BMC Neuroscience, 15(Suppl 1): P7, 2014, 第 2 作者
    (27) Neural Pathway Prediction based on Multi-neuron Spike Train Data, BMC Neuroscience, 15(Suppl 1): P6, 2014, 第 1 作者
    (28) Active Recommendation of Tourist Attractions based on Visitors Interests and Semantic Relatedness, Lecture Notes in Computer Science, 2014, 第 1 作者
    (29) Neuronal Morphology Modeling Based on Microscopy Reconstruction Data in the Public Repositories, Lecture Notes in Artificial Intelligence, 2014, 第 1 作者
    (30) Automatic Recovery of Z-Jumps for Neuronal Morphology Reconstruction, Frontiers in Neuroinformatics. Conference Abstract, 2014, 第 1 作者
    (31) Linked Neuron Data (LND): A Platform for Integrating and Semantically Linking Neuroscience Data and Knowledge, Frontiers in Neuroinformatics. Conference Abstract, 2014, 第 1 作者
    (32) Linking Entities in Short Texts based on a Chinese Semantic Knowledge Base, Communications in Computer and Information Science, 2013, 第 1 作者
    (33) Entity Conceptualization and Understanding based on Web-scale Knowledge Bases, Proceedings of the 2013 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2013), 2013, 第 1 作者
    (34) CASIA-KB: A Multi-source Chinese Semantic Knowledge Base Built from Structured and Unstructured Web Data, Lecture Notes in Computer Science, 2013, 第 1 作者
    (35) Statistical and Structural Analysis of Web-based Collaborative Knowledge Bases Generated from Wiki Encyclopedia, Proceedings of the 2012 IEEE/WIC/ACM International Conference on Web Intelligence, 2012, 第 1 作者

    个人主页

    1. http://bii.ia.ac.cn/~yizeng/

    2. http://people.ucas.ac.cn/~yizeng

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