Pangjing Wu

According to our database, Pangjing Wu authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Hierarchical Deep Reinforcement Learning for VWAP Strategy Optimization.

Xiaodong Li, Pangjing Wu, Chenxin Zou, Qing Li

IEEE Trans. Big Data, June, 2024

2023

TSSRD: A Topic Sentiment Summarization Framework Based on Reaching Definition.

Xiaodong Li, Chenxin Zou, Pangjing Wu, Qing Li

IEEE Trans. Affect. Comput., 2023

Action Pick-up in Dynamic Action Space Reinforcement Learning.

Jiaqi Ye, Xiaodong Li, Pangjing Wu, Feng Wang

CoRR, 2023

2022

Stock Price Prediction Incorporating Market Style Clustering.

Xiaodong Li, Pangjing Wu

Cogn. Comput., 2022

M2R: From Mathematical Models to Resource Description Framework.

Chenxin Zou, Xiaodong Li, Pangjing Wu, Haoran Xie

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

Many-to-Many Pair Trading.

Yingying Wang, Xiaodong Li, Pangjing Wu, Haoran Xie

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021

Sentiment Lossless Summarization.

Xiaodong Li, Pangjing Wu, Chenxin Zou, Haoran Xie, Fu Lee Wang

Knowl. Based Syst., 2021

2020

Incorporating stock prices and news sentiments for stock market prediction: A case of Hong Kong.

Xiaodong Li, Pangjing Wu, Wenpeng Wang

Inf. Process. Manag., 2020

2019

Improving Order Execution Cost Estimation by Semisupervised Learning.

Xiaodong Li, Pangjing Wu, Rongrong Bo

IEEE Access, 2019

Transaction Cost Analysis via Label-Spreading Learning.

Pangjing Wu, Xiaodong Li

Proceedings of the Machine Learning and Intelligent Communications, 2019