activity
20192025
most citedReinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction States

4 citations · 10 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI20224 cited

Retrieval Based Time Series Forecasting

Baoyu Jing, Si Zhang, Yada Zhu +4

Time series data appears in a variety of applications such as smart transportation and environmental monitoring. One of the fundamental problems for time series analysis is time se…

cs.CL20212 cited

On Sample Based Explanation Methods for NLP:Efficiency, Faithfulness, and Semantic Evaluation

Wei Zhang, Ziming Huang, Yada Zhu +3

In the recent advances of natural language processing, the scale of the state-of-the-art models and datasets is usually extensive, which challenges the application of sample-based…

cs.LG2021

Network of Tensor Time Series

Baoyu Jing, Hanghang Tong, Yada Zhu

Co-evolving time series appears in a multitude of applications such as environmental monitoring, financial analysis, and smart transportation. This paper aims to address the follow…

q-fin.PM20204 cited

Reinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction States

Yunan Ye, Hengzhi Pei, Boxin Wang +4

Portfolio management (PM) is a fundamental financial planning task that aims to achieve investment goals such as maximal profits or minimal risks. Its decision process involves con…

q-fin.CP2019

PAGAN: Portfolio Analysis with Generative Adversarial Networks

Giovanni Mariani, Yada Zhu, Jianbo Li +4

Since decades, the data science community tries to propose prediction models of financial time series. Yet, driven by the rapid development of information technology and machine in…