Zhengyong Jiang

According to our database, Zhengyong Jiang authored at least 18 papers between 2019 and 2025.

Collaborative distances:

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

2025

Factor-MCLS: Multi-agent learning system with reward factor matrix and multi-critic framework for dynamic portfolio optimization.

Ruoyu Sun, Angelos Stefanidis, Zhengyong Jiang, Jionglong Su

CoRR, April, 2025

MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset.

Zhaodong Wu, Qiaochu Zhao, Ming Hu, Yulong Li, Haochen Xue, Kang Dang, Zhengyong Jiang, Angelos Stefanidis, Qiufeng Wang, Imran Razzak, Zongyuan Ge, Junjun He, Yu Qiao, Zhong Zheng, Feilong Tang, Jionglong Su

CoRR, March, 2025

MTS: A Deep Reinforcement Learning Portfolio Management Framework with Time-Awareness and Short-Selling.

Fengchen Gu, Zhengyong Jiang, Ángel F. García-Fernández, Angelos Stefanidis, Jionglong Su, Huakang Li

CoRR, March, 2025

A novel multi-agent dynamic portfolio optimization learning system based on hierarchical deep reinforcement learning.

Ruoyu Sun, Yue Xi, Angelos Stefanidis, Zhengyong Jiang, Jionglong Su

CoRR, January, 2025

Time series is not enough: Financial Transformer Reinforcement Learning for portfolio management.

Xiaotian Ren, Ruoyu Sun, Zhengyong Jiang, Angelos Stefanidis, Hongbin Liu, Jionglong Su

Neurocomputing, 2025

Deep Multi-view Factor Entropy Pooling: A Novel Framework for Adaptive Portfolio Optimization.

Owen Christopher Tjahyadi, Jionglong Su, Zhengyong Jiang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Deep Reinforcement Learning-Based Portfolio Optimization with Black-Litterman Model Under Elliptical Distributions.

Daniil Mikriukov, Ruoyu Sun, Zhengyong Jiang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Advancing Low-Resource Machine Translation: A Unified Data Selection and Scoring Optimization Framework.

Zhixiang Lu, Peichen Ji, Yulong Li, Ding Sun, Chenyu Xue, Haochen Xue, Mian Zhou, Angelos Stefanidis, Jionglong Su, Zhengyong Jiang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

KD-MSLRT: Lightweight Sign Language Recognition Model Based on Mediapipe and 3D to 1D Knowledge Distillation.

Yulong Li, Bolin Ren, Ke Hu, Changyuan Liu, Zhengyong Jiang, Kang Dang, Jionglong Su

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Combining transformer based deep reinforcement learning with Black-Litterman model for portfolio optimization.

Ruoyu Sun, Angelos Stefanidis, Zhengyong Jiang, Jionglong Su

Neural Comput. Appl., November, 2024

Knowledge Base-enhanced Multilingual Relation Extraction with Large Language Models.

Tong Chen, Procheta Sen, Zimu Wang, Zhengyong Jiang, Jionglong Su

Proceedings of the First International OpenKG Workshop: Large Knowledge-Enhanced Models co-locacted with The International Joint Conference on Artificial Intelligence (IJCAI 2024), 2024

Dual Core Portfolio Strategy: A Deep RL & Multi-Agent Portfolio Strategy.

Xiangyu Cui, Ruoyu Sun, Mian Zhou, Jionglong Su, Chengyu Wang, Zhengyong Jiang

Proceedings of the International Conference on Mathematics and Machine Learning, 2024

FinBPM: A Framework for Portfolio Management-based Financial Investor Behavior Perception Model.

Zhilu Zhang, Procheta Sen, Zimu Wang, Ruoyu Sun, Zhengyong Jiang, Jionglong Su

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

From deterministic to stochastic: an interpretable stochastic model-free reinforcement learning framework for portfolio optimization.

Zitao Song, Yining Wang, Pin Qian, Sifan Song, Frans Coenen, Zhengyong Jiang, Jionglong Su

Appl. Intell., June, 2023

2022

The application of machine learning methods to portfolio management.

Zhengyong Jiang

PhD thesis, 2022

2021

A Framework of Hierarchical Deep Q-Network for Portfolio Management.

Yuan Gao, Ziming Gao, Yi Hu, Sifan Song, Zhengyong Jiang, Jionglong Su

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

2020

Application of Deep Q-Network in Portfolio Management.

Ziming Gao, Yuan Gao, Yi Hu, Zhengyong Jiang, Jionglong Su

CoRR, 2020

2019

Long Short-Term Memory-based Multi-Period Price Prediction for Portfolio Management.

Zhengyong Jiang, Frans Coenen

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2019