Zhengyong Jiang

According to our database, Zhengyong Jiang authored at least 30 papers between 2019 and 2026.

Collaborative distances:

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

2026

MERIT: Multilingual Expert-Reward Informed Tuning for Chinese-Centric Low-Resource Machine Translation.

Zhixiang Lu, Chong Zhang, Chenyu Xue, Angelos Stefanidis, Chong Li, Jionglong Su, Zhengyong Jiang

CoRR, April, 2026

SAGE: Sustainable Agent-Guided Expert-tuning for Culturally Attuned Translation in Low-Resource Southeast Asia.

Zhixiang Lu, Chong Zhang, Yulong Li, Angelos Stefanidis, Anh Nguyen, Imran Razzak, Jionglong Su, Zhengyong Jiang

Proceedings of the ACM Web Conference 2026, 2026

DeepGB-TB: A Risk-Balanced Cross-Attention Gradient-Boosted Convolutional Network for Rapid, Interpretable Tuberculosis Screening.

Zhixiang Lu, Yulong Li, Feilong Tang, Zhengyong Jiang, Chong Li, Mian Zhou, Tenglong Li, Jionglong Su

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

SAMP-HDRL: Segmented Allocation with Momentum-Adjusted Utility for Multi-agent Portfolio Management via Hierarchical Deep Reinforcement Learning.

Xiaotian Ren, Nuerxiati Abudurexiti, Zhengyong Jiang, Angelos Stefanidis, Hongbin Liu, Jionglong Su

CoRR, December, 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

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

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

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

Complex Intell. Syst., 2025

LLM-Guided Evolutionary Strategy Generation for Quantitative Trading.

Di Zhang, Zhengyong Jiang, Qiong Ji, Hengyan Liu, Tianshi Wang, Angelos Stefanidis

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 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

MedFact: A Large-scale Chinese Dataset for Evidence-based Medical Fact-checking of LLM Responses.

Tong Chen, Zimu Wang, Yiyi Miao, Haoran Luo, Yuanfei Sun, Wei Wang, Zhengyong Jiang, Procheta Sen, Jionglong Su

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

FEC-Real: Enhancing Financial Time Series Task with a Hybrid Encoder.

Zhilu Zhang, Procheta Sen, Tong Chen, Zhengyong Jiang, Jionglong Su

Proceedings of the IEEE International Conference on Big Data, 2025

Memory Instance Gated Transformer Reinforcement Learning for Portfolio Management.

Fengchen Gu, Zhilu Zhang, Zhengyong Jiang, Ángel F. García-Fernández, Jionglong Su, Huakang Li

Proceedings of the IEEE International Conference on Big Data, 2025

Dynamic Knowledge Graph-Guided Deep Reinforcement Learning with Hierarchical Semantics Transformer for Portfolio Management.

Fengchen Gu, Zhilu Zhang, Zhengyong Jiang, Ángel F. García-Fernández, Jionglong Su, Huakang Li

Proceedings of the IEEE International Conference on Big Data, 2025

Mixture-of-Experts Liquid Financial Mamba Framework for Portfolio Management Based on Deep Reinforcement Learning.

Fengchen Gu, Huijia Wang, Zhengyong Jiang, Angel F. García-Fernández, Jionglong Su, Huakang Li

Proceedings of the IEEE International Conference on Big Data, 2025

Silhouette-to-Contour Registration: Aligning Intraoral Scan Models with Cephalometric Radiographs.

Yiyi Miao, Taoyu Wu, Ji Jiang, Tong Chen, Zhe Tang, Zhengyong Jiang, Angelos Stefanidis, Limin Yu, Jionglong Su

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Dental3R: Geometry-Aware Pairing for Intraoral 3D Reconstruction from Sparse-View Photographs.

Yiyi Miao, Taoyu Wu, Tong Chen, Ji Jiang, Zhe Tang, Zhengyong Jiang, Angelos Stefanidis, Limin Yu, Jionglong Su

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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 Thirty-Ninth AAAI Conference on Artificial Intelligence, 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