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
7pm - 8pm
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
5月24日
研讨会, 演讲, 讲座
IAS / School of Science Joint Lecture - Confinement Controlled Electrochemistry: Nanopore beyond Sequencing
Abstract Nanopore electrochemistry refers to the promising measurement science based on elaborate pore structures, which offers a well-defined geometric confined space to adopt and characterize sin...
5月13日
研讨会, 演讲, 讲座
IAS / School of Science Joint Lecture – Expanding the Borders of Chemical Reactivity
Abstract The lecture will demonstrate how it has been possible to expand the borders of cycloadditions beyond the “classical types of cycloadditions” applying organocatalytic activation principles....