黄雨玲

博士研究生 校聘副教授

邮箱：huangyuling@zqu.edu.cn

个人简介：

肇庆学院计算机科学与软件学院教师，人工智能博士，硕士研究生导师。本科毕业于北京师范大学珠海分校，硕士、博士分别毕业于澳门大学和澳门科技大学。专注深度强化学习、大语言模型、时间序列分析等研究，共发表 12 篇 SCI 学术论文。

主要课程：

《离散数学》、《Python程序设计》、《Python数据分析》、《Python数据分析与应用》、《人工智能概论》、《机器学习》等。

科研项目：

[1] 肇庆学院, 青年教师科研资助项目, qn202529, 基于大模型与深度强化学习的优化智能投顾决策方法的研究, 2025-01 至 2027-12, 在研, 主持。

论著列表：

[1]Yuling Huang, Chujin Zhou, Kai Cui, Xiaoping Lu, Improving algorithmic trading consistency via human alignment and imitation learning, Expert Systems with Applications, vol. 253, pp. 124350-24364, 2024.

[2]Yuling Huang, Xiaoxiao Wan, Lin Zhang, Xiaoping Lu, A novel deep reinforcement learning framework with BiLSTM-Attention networks for algorithmic trading, Expert Systems with Applications, pp. 122581, 2023.

[3]Yuling Huang, Chujin Zhou, Kai Cui, Xiaoping Lu, A multi-agent reinforcement learning framework for optimizing financial trading strategies based on TimesNet, Expert Systems with Applications, vol. 237, 2023, doi: 10.1016/j.eswa.2023.121502.

[4]Yuling Huang, Chujin Zhou, Xiaoping Lu,Lin Zhang, A Self-Rewarding Mechanism in Deep Reinforcement Learning for Trading Strategy Optimization. Mathematics 2024, 12, 4020. https://doi.org/10.3390/math12244020.

[5]Yuling Huang, Xiaoping Lu, Chujin Zhou, Yunlin Song, DADE-DQN: Dual Action and Dual Environment Deep Q-Network for Enhancing Stock Trading Strategy, Mathematics, vol. 11, 2023,doi: 10.3390/math11173626.

[6]Yuling Huang, Kai Cui, Yunlin Song, Zongren Chen, A Multi-Scaling Reinforcement Learning Trading System Based on Multi-Scaling Convolutional Neural Networks, Mathematics, vol. 11, 2023, doi: 10.3390/math11112467.

[7]Yuling Huang, Yunlin Song, A new Hybrid Method of Recurrent Reinforcement Learning and Bi-LSTM for Algorithm Trading, Journal of Intelligent & Fuzzy Systems, vol. 45, pp. 1939–1951, 2023, doi: 10.3233/JIFS-223101.

[8] Jiarong Diao, Kai Cui, Yuling Huang, Chujin Zhou, Jianqing Li, & Haoyan Song. (2025). ChebyshevNet: a novel time series analysis model using Chebyshev polynomial. The Journal of Supercomputing, 81(1), 179.

[9]Kai Cui, Ruizhe Hao, Yuling Huang, Jianqing Li and Yunlin Song, A Novel Convolutional Neural Networks for Stock Trading Based on DDQN Algorithm, IEEE Access, vol. 11, pp. 32308-32318, 2023, doi: 10.1109/ACCESS.2023.3259424.

[10]Kai Cui, Yuling Huang, Xiaoping Lu, and TIN CHENG CHUI, PSDNet: Plant Status Detection Network Utilized in an Intelligent Bougainvillea Glabra Sensing and Watering System. IEEE Sensors Journal, 1, 99, 2024.

[11]Chujin Zhou, Yuling Huang, Kai Cui, Xiaoping Lu, and Jianqing Li. R-DDQN: Optimizing Algorithmic Trading Strategies through Reward Networks in Double DQN. Mathematics vol. 12, 1621, 2024. https://doi.org/10.3390/math12111621.

[12]Yuling Huang, Xiaoping Lu, Deep reinforcement learning based on BiLSTM-Attention and Multi-scale CNN for algorithmic trading, 2023年粤港澳大湾区人工智能、区块链与金融科技国际会议, 2023.