※教师简介

杨山田，现任西南财经大学计算机与人工智能学院讲师、硕士生导师。2022年毕业于电子科技大学，获得工学博士学位。杨山田博士的主要研究方向涉及Reinforcement Learning, Deep Learning, Multi-agent Learning和xAI, 及其在Traffic Signal Control, Autonomous Driving, 金融量化交易，资产组合投资等相关工程控制系统中的应用，在国际期刊、学术会议等发表10余篇学术论文，包括Information Fusion、Neural Networks, Information Science等。担任IEEE Transactions On Intelligent Transportation Systems, Information Fusion，Information Science, Neural Networks 和 Knowledge-Based Systems，Engineering Applications Of Artificial Intelligence, IET Intelligent Transport Systems等多个SCI期刊的审稿人; DASC(2020-2021)国际会议的技术委员会委员；American Journal of Neural Networks and Applications编委会委员；American Journal of Information Science and Technology(AJIST) 编委会委员；IEEE Technical Committee on Hyper-Intelligence委员；以及 International Conference on Advances in Computer Science and Engineering Technology (ACSE2023) 技术委员会委员，International Conference on Computational and Mathematical Methods in Engineering (CMME2023-2024) 编委会委员。

※研究领域

机器学习

可信人工智能

智能金融

※讲授课程

机器学习、强化学习、人工智能概述。

※研究成果(注： *表示通讯作者)

[1] Shantian Yang*, Bo Yang, Zheng Zeng, Zhongfeng Kang. Causal inference multi-agent reinforcement learning for traffic signal control. Information Fusion (中科院JCR分区大类1区期刊，TOP期刊、影响因子：17.564), 94:243-256, 2023.

[2] Shantian Yang*. Hierarchical graph multi-agent reinforcement learning for traffic signal control. Information Sciences (中科院JCR分区大类1区期刊，TOP期刊，CCF-B、影响因子：8.1), 634:55-72, 2023.

[3] Shantian Yang*. Deep reinforcement learning for portfolio management. Knowledge-Based System (中科院JCR分区大类1区期刊，TOP期刊，影响因子：8.8), 278, art No. 110905, 2023.

[4] Shantian Yang and Bo. Yang*. An Inductive Heterogeneous Graph Attention-based Multi-agent Deep Graph Infomax Algorithm for Adaptive Traffic Signal Control. Information Fusion (中科院JCR分区大类1区期刊，TOP期刊、影响因子：17.564), 88:249-262, 2022.

[5] Shantian Yang, Bo Yang*, Zhongfeng Kang, Lihui Deng. IHG-MA: Inductive heterogeneous graph multi-agent reinforcement learning for multi-intersection traffic signal control. Neural Networks (中科院JCR分区大类1区期刊，TOP期刊，CCF-B、影响因子：9.657), 139, 265-277, 2021.

[6] Shantian Yang and Bo Yang*. A semi-decentralized feudal multi-agent learned-goal algorithm for multi-intersection traffic signal control. Knowledge-Based System (中科院JCR分区大类1区期刊，TOP期刊，影响因子：8.139), 213, art No. 06708, 2021.

[7] Shantian Yang, Bo Yang*, Hau-san Wong, Zhongfeng Kang. Cooperative traffic signal control using Multi-step return and Off-policy Asynchronous Advantage Actor-Critic Graph algorithm. Knowledge-Based Systems (中科院JCR分区大类1区期刊，TOP期刊，影响因子：8.139), 183, art No. 104855, 2019.

[8] Shantian Yang and Bo Yang*. A Meta Multi-agent Reinforcement Learning Algorithm for Multi-intersection Traffic Signal Control. IEEE Intl Conf on Depend., Autono. and Secure Compu., pp. 18-25, 2021.

[9] Lihui Deng, Bo Yang*, Zhongfeng Kang, Shantian Yang and Shihu Wu. A Noisy Label and Negative Sample Robust Loss Function for DNN-based Distant Supervised Relation Extraction. Neural Networks, 139, 358-370, 2021.  

[10] Zhongfeng Kang, Bo Yang*, Mads Nielsen, Lihui Deng, Shantian Yang. A Buffered Online Transfer Learning Algorithm with Multi-layer Network. Neurocomputing, 488, 581-597, 2022.

[11] Zhongfeng Kang, Bo Yang*, Shantian Yang. Online transfer learning with multiple source domains for multi-class classification. Knowledge-Based Systems, 190, 105149, 2019.

主要科研项目

(1)“面向在线学习的基于 SAF 的推荐模型研究 (项目号: 61977013)” , 国家自然科学基金，面上项目, 50 万元， 2020.1-2023.12，主研，结题。

(2) “基于梯度提升深度森林的网络教育平台中的推荐系统研究 (项目号: 2019YJ0164)” ,10W 元, 四川省科技厅， 2019.1-2021.1，主研，结题。

(3) “公共服务政策智能推送关键技术研究与原型系统研发 (项目号190241)” , CECT 大数据研究工程公司，75 万元, 2019.5-2020.10，主研，结题。

(4) “基于可解释强化学习的组合投资算法研究(项目号: JBK23YJ26)”，中央高校基本科研业务费专项资金-西南财经大学引进人才科研启动资助项目，2万元，2023.1-2023.12，主持，完成。