Prof.Zhi-Hua Zhou

---

Speech Title:

Exploration to New Generation of Neuron Models

Abstract:

A general neural network model has two fundamental components, i.e., the network architecture and the neuron model. Though there are abundant explorations about various network architectures, there are less studies about neuron models. In fact, current deep neural networks are still using the MP-model which was proposed 80 years ago. In this talk, we will present some recent explorations of new generation neuron models.

Bio of lecturer:

Zhi-Hua Zhou is Professor of Computer Science and Artificial Intelligence at Nanjing University. His research interests are mainly in machine learning and data mining, with significant contributions to ensemble learning, multi-label and weakly supervised learning, etc. He has authored the books "Ensemble Methods: Foundations and Algorithms", "Machine Learning", etc., and published more than 200 papers in top-tier journals or conferences. Many of his inventions have been successfully transferred to industry. He founded ACML (Asian Conference on Machine Learning), served as Program Chair for AAAI-19, IJCAI-21, etc., General Chair for ICDM'16, SDM'22, etc., and Senior Area Chair for NeurIPS and ICML. He is series editor of Springer LNAI, on the advisory board of AI Magazine, and serves as editor-in-chief of Frontiers of Computer Science, associate editor of AIJ, MLJ, IEEE TPAMI, ACM TKDD, etc. He is the President of IJCAI Trustee. He is a Fellow of the ACM, AAAI, AAAS, IEEE, and recipient of the National Natural Science Award of China, the IEEE Computer Society Edward J. McCluskey Technical Achievement Award, the CCF-ACM Artificial Intelligence Award, etc.

Back to Invited Speakers/Panelists home page ↵