Decentralized Finance, DeFi, is a transparent and open ecosystem backed by blockchain network. DeFi can provides same services as any financial institutions through digital assets, smart contracts, protocols. The absence of middlemen and location limitation save users time and cost. Although the Crypto world expand explosively, DeFi still has a certain threshold to get start. Then the Robo-Advisory can be a bridge for better satisfying the demands of users.




The Robo-advisory is composited by feature learning and recommendation system. The disentangled representation learning, Generative Adversarial Networks (GAN), Encoder -Decoder are adopted in extract users’ and product’s features for generating personally recommendation. Then multi-objective collaborative filtering is considered in recommendation system to detect user’s preference, which can simultaneously optimize the accuracy, diversity and novelty. As the aim of providing decent trading suggestion, the Robo-advisory also take price prediction into account through supervised learning, semi-supervised learning and reinforcement learning.

5月22日
7:00pm - 8:00pm
地点
https://hkust.zoom.us/j/92180189935 (Passcode: 136071)
讲者/表演者
Miss Zhishuang CHEN
主办单位
Department of Mathematics
联系方法
付款详情
对象
Alumni, Faculty and staff, PG students, UG students
语言
英语
其他活动
12月5日
研讨会, 演讲, 讲座
IAS / School of Science Joint Lecture - Human B Cell Receptor-Epitope Selection for Pan-Sarbecovirus Neutralization
Abstract The induction of broadly neutralizing antibodies (bnAbs) against viruses requires the specific activation of human B cell receptors (BCRs) by viral epitopes. Following BCR activation, ...
10月10日
研讨会, 演讲, 讲座
IAS / School of Science Joint Lecture - Use of Large Animal Models to Investigate Brain Diseases
Abstract Genetically modified animal models have been extensively used to investigate the pathogenesis of age-dependent neurodegenerative diseases, such as Alzheimer (AD), Parkinson (PD), Hunti...