Yuling Huang

Orcid: 0000-0002-3992-9744

According to our database1, Yuling Huang authored at least 12 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2024
A multi-agent reinforcement learning framework for optimizing financial trading strategies based on TimesNet.
Expert Syst. Appl., March, 2024

Improving algorithmic trading consistency via human alignment and imitation learning.
Expert Syst. Appl., 2024

A novel deep reinforcement learning framework with BiLSTM-Attention networks for algorithmic trading.
Expert Syst. Appl., 2024

2023
Design and effects of the teacher-student interaction model in the online learning spaces.
J. Comput. High. Educ., April, 2023

A new hybrid method of recurrent reinforcement learning and BiLSTM for algorithmic trading.
J. Intell. Fuzzy Syst., 2023

A Novel Convolutional Neural Networks for Stock Trading Based on DDQN Algorithm.
IEEE Access, 2023

Attribute-based Searchable Proxy Re-encryption Blockchain Data Sharing Scheme.
Proceedings of the 12th IEEE International Conference on Cloud Networking, 2023

2022
The data involves 15 years of daily data of DJI, S&P, and IXIC, ranging from 01/01/2005 to 12/31/2020.
Dataset, June, 2022

2021
Construction of the Teacher-Student Interaction Model in Online Learning Spaces.
Proceedings of the Blended Learning: Re-thinking and Re-defining the Learning Process., 2021

Model analysis in Computer Technology in Engineering Management.
Proceedings of the EITCE 2021: 5th International Conference on Electronic Information Technology and Computer Engineering, Xiamen, China, October 22, 2021

The Application of Computer Electronic Information Technology in Engineering Management.
Proceedings of the EITCE 2021: 5th International Conference on Electronic Information Technology and Computer Engineering, Xiamen, China, October 22, 2021

2020
Multi-View CNN-LSTM Neural Network for SAR Automatic Target Recognition.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020


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