成电讲堂

　　12月9日上午，由人力资源部教师发展中心主办、自动化工程学院承办的“名师讲堂”邀请到欧洲科学院外籍院士、IEEE Fellow、华南理工大学计算机科学与工程学院院长陈俊龙教授，作主题为“动态结构神经网络及其在开放环境下的应用”的线上精彩报告。本次学术交流活动由自动化工程学院李铁山教授主持，近两百名师生参与交流研讨。

　　陈俊龙教授从研究背景出发，讨论了通过堆叠式广泛学习系统（BLS）的动态神经网络结构。他提到，在收集用于训练的信息时，神经网络中的学习会受到具有给定数量的层和神经元的网络的固定结构的影响。当学习不满意时，重新设计新的结构并重复该过程。最近，堆叠式广泛学习系统（BLS）已被证明是有效和高效的。其目前所提出的动态模型是一种新颖的BLS增量堆叠，该不变量继承了BLS的效率和有效性，即在添加新块时，BLS下层的结构和权重是固定的。改进的增量堆叠算法只计算BLS块内的连接权重，而较低堆栈的连接权重保持固定，使学习过程非常高效。最后，陈俊龙教授根据此动态模型在UCI数据集、MNIST数据集、NORB数据集、CIFAR-10数据集、SVHN数据集和CIFAR-100数据集上的实验结果，证实了所提出的方法在准确性和训练速度上均优于其他最先进的方法，例如深度残差网络。

　　在交流环节中，陈俊龙教授与师生就宽度学习的应用前景方面进行了交流讨论，师生们踊跃提问，收获颇丰。

　　本次名师讲堂由人力资源部教师发展中心主办，自动化工程学院承办。

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　　C. L. Philip Chen  is the Chair Professor and Dean of the College of Computer Science and Engineering, South China University of Technology and was a Chair Professor of the Faculty of Science and Technology, University of Macau, where he was the former Dean (2010-2017), after he left a professorship position in the USA for 23 years. He is a Fellow of IEEE, AAAS, IAPR, CAA, and HKIE. He received IEEE Norbert Wiener Award in 2018 for his contribution in systems and cybernetics, and machine learnings; and IEEE Joseph G. Wohl Career Award for his contributions in SMCS and IEEE in 2021. He was a recipient of the 2016 Outstanding Electrical and Computer Engineers Award from his alma mater, Purdue University. He received IEEE Transactions on Neural Networks and Learning Systems best transactions paper award two times for his papers in 2014 and 2018. He is a highly cited researcher by Clarivate Analytics from 2018 to 2021 continuously.

　　Currently, he is the Editor-in-Chief of the IEEE Transactions on Cybernetics. He was the Editor-in-Chief of the IEEE Transactions on Systems, Man, and Cybernetics: Systems (2014-2019). the IEEE Systems, Man, and Cybernetics Society President from 2012 to 2013, an Associate Editor of the IEEE Transactions on AI, IEEE Trans on SMC: Systems, and IEEE Transactions on Fuzzy Systems, an Associate Editor of China Sciences: Information Sciences. He received Macau FDCT Natural Science Award three times and a First-rank Guangdong Province Scientific and Technology Advancement Award in 2019. His current research interests include cybernetics, computational intelligence, and systems.