報告時間：2022年4月16日（星期六）14:30-16:30
報告平臺：騰訊會議 ID:453 190 378， 密碼：1515
報 告 人：Michael Chau 教授
工作單位：香港大學商學院
舉辦單位：管理學院
報告簡介：
How to manage and provide appropriate treatment to people suffering from depression and emotional distress is a pressing issue. However, many people with depression and emotional distress are not sufficiently recognized and treated; they do not proactively seek help either. Therefore, it is highly desirable to devise a method to effectively and proactively identify these people. Following the design science approach, we propose a novel design called DKMAN (which stands for Domain Knowledge-enhanced Mutual Attention Network) based on deep learning and a knowledge-enhanced mutual attention mechanism to identify people with depression and emotional distress. Our model incorporates both general knowledge and domain knowledge in the learning process through language representations and mutual attention mechanism. The research has important academic contributions and practical implications for depression detection.
報告人簡介：
Michael Chau香港大學經管學院教授，主持多項由中國國家自然科學基金和中國香港中央政策組等機構資助的研究項目，研究領域包括數據挖掘、社交媒體分析、電子商務、醫療健康等。Michael Chau研究成果發表于MIS Quarterly、JMIS、IEEE TKDE等國際頂級期刊。曾擔任MIS Quarterly副主編。
