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Weiqing Liu
Researcher at Microsoft
Publications - 34
Citations - 569
Weiqing Liu is an academic researcher from Microsoft. The author has contributed to research in topics: Computer science & Stock market. The author has an hindex of 5, co-authored 28 publications receiving 282 citations.
Papers
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Proceedings ArticleDOI
Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction
TL;DR: Wang et al. as mentioned in this paper designed a Hybrid Attention Networks (HAN) to predict the stock trend based on the sequence of recent related news, and applied the self-paced learning mechanism to imitate the third principle.
Posted Content
Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction
TL;DR: A Hybrid Attention Networks (HAN) is designed to predict the stock trend based on the sequence of recent related news, and the self-paced learning mechanism is applied to imitate the third principle.
Journal ArticleDOI
Model complexity of deep learning: a survey
TL;DR: In this article, the authors conduct a systematic overview of the latest studies on model complexity in deep learning and propose several interesting future directions, including model generalization, model optimization, and model selection and design.
Proceedings ArticleDOI
REST: Relational Event-driven Stock Trend Forecasting
TL;DR: Wang et al. as discussed by the authors proposed a relational event-driven stock trend forecasting (REST) framework, which can address the shortcoming of existing methods by modeling the stock context and learning the effect of event information on the stocks under different contexts.
Posted Content
Qlib: An AI-oriented Quantitative Investment Platform.
TL;DR: Qlib is a bridge between AI technologies and quantitative investment that aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment.