Speakers Prof. C.L. Philip CHEN, University of Macau Broad Learning (寬度學習): A Paradigm Shift in Discriminative Incremental Learning Prof. Yi-Ke GUO, Imperial College London Machine Learning for Creativity Dr. Wen-Lian HSU, Academia Sinica, Taiwan SPBA: Statistical Principle-Based Approach for Biomedical Named Entity Recognition Dr. Zhenguo LI, Huawei Technologies Meta-SGD: Learning to Learn Quickly for Few-Shot Learning Dr. Yang LIU, Tsinghua University Deep Learning in Machine Translation Dr. Xu SUN, Peking University Training Simplification and Model Simplification for Deep Learning: A Minimal Effort Back Propagation Method Prof. Dit-Yan YEUNG, Hong Kong University of Science and Technology Deep Spatiotemporal Models for Sequence Prediction Dr. Kun ZHANG, Carnegie Mellon University, USA Deep Networks Meet Causal Modeling Mr. Fred SHEU, Microsoft Hong Kong Limited Microsoft AI for Global Good
