Yuling Huang

Macau University of Science and Technology — MO

Decision Sciences · Social Sciences

7h-index170citations18works2.42yr avg
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Research Topics

Stock Market Forecasting Methods(15), Financial Markets and Investment Strategies(7), Energy Load and Power Forecasting(7), Neural Networks and Applications(3), Colorectal Cancer Screening and Detection(2)

Publications18 total

Explainable reinforcement learning with adaptive feature selection for stock trading
Applied Soft Computing·2025
A combined Adaptive Gaussian Short-Term Fourier Transform and Mamba framework for stock price prediction
Engineering Applications of Artificial Intelligence·2025· 1 cited
Stock Trading Strategy Based on Multi-Scale Deep Reinforcement Learning and Price Movement Prediction
International Journal of Information Technology & Decision Making·2025· 1 cited
Enhancing trading strategies by combining incremental reinforcement learning and self-supervised prediction
Expert Systems with Applications·2025· 1 cited
MambaLLM: Integrating Macro-Index and Micro-Stock Data for Enhanced Stock Price Prediction
Mathematics·2025· 4 citedOpen Access
CE-YOLO: A channel-efficient YOLO algorithm for colorectal polyp detection
Biomedical Signal Processing and Control·2025· 5 cited
A Self-Rewarding Mechanism in Deep Reinforcement Learning for Trading Strategy Optimization
Mathematics·2024· 4 citedOpen Access
ChebyshevNet: a novel time series analysis model using Chebyshev polynomial
The Journal of Supercomputing·2024
Improving algorithmic trading consistency via human alignment and imitation learning
Expert Systems with Applications·2024· 8 cited
R-DDQN: Optimizing Algorithmic Trading Strategies Using a Reward Network in a Double DQN
Mathematics·2024· 4 citedOpen Access
PSDNet: Plant Status Detection Network Utilized in an Intelligent Bougainvillea Glabra Sensing and Watering System
IEEE Sensors Journal·2024· 1 cited
Ce-Yolo: A Channel-Efficient Yolo Algorithm for Colorectal Polyp Detection
SSRN Electronic Journal·2024Open Access
A novel deep reinforcement learning framework with BiLSTM-Attention networks for algorithmic trading
Expert Systems with Applications·2023· 45 cited
A multi-agent reinforcement learning framework for optimizing financial trading strategies based on TimesNet
Expert Systems with Applications·2023· 59 cited
DADE-DQN: Dual Action and Dual Environment Deep Q-Network for Enhancing Stock Trading Strategy
Mathematics·2023· 12 citedOpen Access
A Multi-Scaling Reinforcement Learning Trading System Based on Multi-Scaling Convolutional Neural Networks
Mathematics·2023· 7 citedOpen Access
A new hybrid method of recurrent reinforcement learning and BiLSTM for algorithmic trading
Journal of Intelligent & Fuzzy Systems·2023· 7 cited
A Novel Convolutional Neural Networks for Stock Trading Based on DDQN Algorithm
IEEE Access·2023· 11 citedOpen Access

Frequent Co-authors

Xiaoping Lu(10), Kai Cui(8), Chujin Zhou(5), Yunlin Song(4), Chujin Zhou(3), Jianqing Li(3), Lin Zhang(2), Chao Xu(2), Zhiwei Fan(2), Yaoyao Ma(2), Jing Wang(2), Yishen Xu(2), Jin Yan(2), Xiaoxiao Wan(1), Ruizhe Hao(1), Zongren Chen(1), Di Wu(1), Yu-Sik Kong(1), Xuanfeng Li(1), Tin Cheng Chui(1)