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【学术讲座】IEEE Fellow 陈俊龙教授关于宽度学习的学术讲座通知
2018-01-26 20:04   航海学院 审核人:   (点击: )

讲座主题:Broad Learning (宽度学习): A paradigm shift in discriminative incremental learning

讲座专家:陈俊龙(C. L. Philip Chen教授

讲座时间:2018129日(周一)上午930

讲座地点:航海学院东配楼

人:崔荣鑫

报告简介:

In recent years, deep learning caves out a research wave in machine learning. With outstanding performance, more and more applications of deep learning in pattern recognition, image recognition, speech recognition, and video processing have been developed.

The talk is to introduce “Broad Learning” – a complete paradigm shift in discriminative learning and a very fast and accurate learning without deep structure. The broad learning system (BLS) utilizes the power of incremental learning. That is without stacking the layer-structure, the designed neural networks expand the neural nodes broadly and update the weights of the neural networks incrementally when additional nodes are needed and when the input data entering to the neural networks continuously. The designed network structure and incremental learning algorithm are perfectly suitable for modeling and learning big data environment. Experiments indicate that the designed structure and algorithm out-perform existing structures and learning algorithms. Several BLS variations that cover existing deep-wide/broad-wide structures will be discussed.

C. L. Philip Chen简介


陈俊龙(C. L. Philip Chen)博士,中国自动化学会副理事长及会士,澳门科协副会长,澳门大学讲座教授,科技学院前院长。陈教授是IEEE Fellow,美国科学促进会AAAS Fellow, 国际系统及控制论科学院IASCYS院士,香港工程师学会Fellow,国家千人学者、国家特聘专家。陈教授现任IEEE系统人机及智能学会的期刊主编,曾任该学会国际总主席陈教授主要科研在智能系统与控制,计算智能,混合智能,数据科学方向。在2018计算机科学学科高被引用文章数目学者中世界排名在前17名。陈教授获IEEE学会颁发了4次杰出贡献奖,是美国工学技术教育认证会(ABET)的评审委员。澳门大学工程学科及计算机工程获得国际华盛顿协议认证是陈教授对澳门工程教育的至高贡献。担任院长期间带领澳门大学的工程学科及计算机学科双双进入世界大学学科排名前200名。2016年他获得了母校,美国普度大学,的杰出电机及计算机工程奖。


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