个人简历

浙江大学计算机学院教授、博导，分别于浙江大学、上海交通大学、新加坡国立大学获得学士、硕士、博士学位。2004–2006年在意法半导体公司担任研发工程师，2006–2008年于澳大利亚昆士兰大学脑科学研究所从事博士后研究，2008-2015年于新加坡科技研究局资讯通信研究院担任认知计算和机器人认知实验室主任，2014年起担任四川大学类脑计算研究中心主任。主持完成国家自然科学基金、科技部智能机器人重点研发计划课题、新加坡科技研究局等多个国家级项目。研究成果被国际科技媒体MIT Technology Review，Communicaitons of ACM,Science Daily等报道。发表论文80余篇（包括IEEE/ACM Transactions、AAAI、IJCAI等国际一流期刊和会议），Springer出版英文专著两部，获2012国际机器智能比赛第二名、2017年全国大学生类脑计算大赛特等奖、2016年度IEEE Trans.On Neural Networks and Leanring Systems优秀论文奖、2019年度IEEE Computational Intelligence Magazine优秀论文奖。
实验室介绍
唐华锦教授于2020年1月建立类脑计算与机器人认知实验室NCRC（Neuromorphic Computing and Robotic Cognition Lab），致力于类脑计算、人工智能交叉领域研究，神经形态芯片与传感器、类脑智能机器人理论与应用研究。唐华锦教授同时也是之江实验室（http://www.zhejianglab.com/）新型智能计算中心课题负责人。唐华锦教授此前担任四川大学计算机学院类脑计算研究中心（NCRC）主任（http://ncrc.scu.edu.cn）。
实验室欢迎有热情从事以下相关领域理论与应用研究的优秀青年学者申请博士后、研究员，支持申报国家高层次人才计划：
类脑计算
人工智能
神经形态芯片与传感器
智能感知
机器人学习、认知与导航
同时，实验室也欢迎海内外学者短期访问、交流和合作研究！
研究与成果
A more complete list of publications is referred to https://dblp.org/pers/t/Tang:Huajin.html.
Books:
Huajin Tang,K.C.Tan and Z.Yi.Neural Networks:Computational Models and Applications,Springer-Verlag,2007.
Qiang Yu,Huajin Tang,Jun Hu and Kay Chen Tan.Neuromorphic Cognitive Systems:A Learning and Memory Centered Approach.Springer,2017.
奖励与荣誉
2019 IEEE Computational Intelligence Magazine Outstanding Paper Award.
2017国际大学生类脑计算大赛创新特等奖（Innovation Top Award,International Collegiate Competition for Brain-Inspired Computing）.
2016 IEEE Trans.on Neural Networks and Learning Systems Outstanding Paper Award,
2nd Place,British Computer Society(BCS)Machine Intelligence Competition 2012,the entry titled“Neuro-Cognitive Robot”.
Role Model Award,Institute for Infocomm Research,A*STAR Singapore,2011.(Only four recipients among 600 strong staffs of the year.)
教学与课程
类脑计算
人工智能
机器人认知

研究领域

类脑计算、人工智能、智能机器人
计算神经科学"主要研究领域为类脑计算、神经形态计算与芯片、智能机器人等。"

近期论文

X.Ju,B.Fang,R.Yan,X.Xu,H.Tang.An FPGA implementation of deep spiking neural networks for low-power and fast classification.Neural Computation 32(1),182-204,2020.(Cover Article)
Y.Wang,Y.Xu,R.Yan,H.Tang.Deep Spiking Neural Networks with Binary Weights for Object Recognition.IEEE Trans.on Cognitive and Developmental Systems,2020,doi:10.1109/TCDS.2020.2971655.
Q.Yu,S.Li,H.Tang,L.Wang,J.Dang,K.C.Tan.Toward Efficient Processing and Learning With Spikes:New Approaches for Multispike Learning.IEEE Transactions on Cybernetics,2020.
X.Wu,Y.Wang,H.Tang,&R.Yan.A structure–time parallel implementation of spike-based deep learning.Neural Networks,113,72–78.2019.
Y.Zheng,S.Li,R.Yan,H.Tang and K.C.Tan.Sparse Temporal Encoding of Visual Features for Robust Object Recognition by Spiking Neurons.IEEE Trans.on Neural Networks and Learning Systems,29(12),5823–5833,2018.
Y.Qi,J.Shen,Y.Wang,H.Tang,H.Yu,Z.Wu,G.Pan.Jointly Learning Network Connections and Link Weights in Spiking Neural Networks,IJCAI,pp.1597-1603,2018.
Q.Xu,Y.Qi,H.Yu,J.Shen,H.Tang,G.Pan.CSNN:An Augmented Spiking based Framework with Perceptron-Inception,IJCAI,pp.1646-1652,2018.
J.Hu,H.Tang,K.C.Tan,and H.Li.How the Brain Formulates Memory:A Spatio-Temporal Model.IEEE Computational Intelligence Magazine,vol.11,no.2,pp.56-68,2016.
H.Tang,W.Huang,A.Narayanamoorthy,and R.Yan.Cognitive Memory and Mapping in a Brain-like System for Robotic Navigation.Neural Networks,vol.87,pp.27-37,2017.
X.Peng,B.Zhao,R.Yan,H.Tang,and Z.Yi.Bag of Events:An Efficient and Online Probability-based Low-level Feature Extraction Method for AER Image Sensors.IEEE Trans.on Neural Networks and Learning Systems,vol.28,no.4,pp.791-803,2017.
X.Peng,Z.Yu,Z.Yi,and H.Tang.Constructing the L2-Graph for Robust Subspace Learning and Subspace Clustering.IEEE Trans.on Cybernetics,vol.47,no.4,pp.1056-1066,2017.
Q.Yu,R.Yan,H.Tang,K.C.Tan,and H.Li.A Spiking Neural Network System for Robust Sequence Recognition.IEEE Trans.on Neural Networks and Learning Systems,vol.27,no.3,pp.621-635,2016.
M.Yuan,B.Tian,V.A.Shim,H.Tang and H.Li.An Entorhinal-Hippocampal Model for Simultaneous Cognitive Map Building.In:Proceedings of AAAI-15,Austin,TX,USA,2015
B.Zhao,R.Ding;S.Chen,B.Linares-Barranco,and H.Tang.Feedforward Categorization on AER Motion Events using Cortex-like Features in a Spiking Neural Network.IEEE Trans.on Neural Networks and Learning Systems,vol.26,no.9,pp.1963-1978,2015.
Q.Yu,H.Tang,K.C.Tan,and H.Li.Precise-Spike-Driven Synaptic Plasticity:Learning Hetero-Association of Spatiotemporal Spike Patterns.PLoS One 8(11):e78318,2013.
Q.Yu,H.Tang,K.C.Tan,and H.Li.Rapid Feedforward Computation by Temporal Encoding and Learning with Spiking Neurons.IEEE Trans.on Neural Networks and Learning Systems,vol.24,no.10,pp.1539-1552,2013.
J.Hu,H.Tang,K.C.Tan,H.Li and L.Shi.A Spike-Timing Based Integrated Model for Pattern Recognition.Neural Computation,vol.25,no.2,pp.450-472,2013.
E.Y.Cheu,J.Yu,C.H.Tan,and H.Tang.Synaptic Conditions for Auto-Associative Memory Storage and Pattern Completion in Jensen et al.'s Model of Hippocampal Area CA3.Journal of Computational Neuroscience,DOI:10.1007/s10827-012-0394-8,2012.
Yan,K.P.Tee,Y.W.Chua,H.Li,and Huajin Tang.Gesture Recognition Based on Localist Attractor Networks with Application to Robot Control.IEEE Computational Intelligence Magazine,vol.7,no.1,pp.64-74,2012.
H.Tang,H.Li,and R.Yan.Memory dynamics in attractor networks with saliency weights.Neural Computation,vol.22,no.7,pp.1899-1926,2010。
H.Tang,H.Li and Z.Yi.A discrete-time neural network for optimization problems with hybrid constraints.IEEE Trans.on Neural Networks,vol.21,no.7,pp.1184-1189,2010.
C.Giacomantonio,J.Hunt,H.Tang,D.Mortimer,S.Jaffer,V.Vorobyov,G.Ericksson,F.Sengpiel,G.J.Goodhill.“Abnormal visual input during development does not alter the co-circularity statistics of orientation maps in visual cortex.NeuroImage,vol.47,pp.157-172,2009.
H.Tang,L.Weng,Z.Y.Dong and R.Yan.“Adaptive and learning control for SI engine model with uncertainties,IEEE/ASME Trans.on Mechatronics,vol.14,no.1,pp.93-104,2009.
担任IEEE Trans. On Neural Networks and Leanring Systems (2012-2018)、IEEE Trans. on Cognitive and Developmental Systems、Frontiers in Neuromorphic Engineering，Neural Networks等期刊编委。担任IEEE计算智能学会教育分委会主席、国际神经网络学会理事等职务。
Associate Editor:
Neural Networks
Jan 2020- now
Associate Editor:
IEEE Trans. On Neural Networks and Learning Systems
2012-2018
Associate Editor:
IEEE Trans. On Cognitive and Developmental Systems
Jan 2016-now
Associate Editor:
Frontiers in Neuromorphic Engineering
2016-now
Editorial Board Member:
Frontiers in Robotics and AI
2014-now
Program Chair
IEEE CIS-RAM 2013, IEEE CIS-RAM 2015, IEEE CIS-RAM 2017, ISNN 2019.
General Chair IEEE International Symposium on Neuromorphic Cognitive Computing (IEEE SNCC) 2016-2020
Board of Governor Member
International Neural Networks Society (INNS)
2019-now