※教师简介

杨山田，现任bat365在线平台讲师、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；International Conference on Computational and Mathematical Methods in Engineering (CMME2023) 编委会委员，以及 International Conference on Advances in Computer Science and Engineering Technology (ACSE2023) 技术委员会委员。

※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、人工智能导论。

※研究成果

[1] Shantian Yang, Bo Yang, Zheng Zeng, Zhongfeng Kang. Causal Inference Multi-Agent Reinforcement Learning for Traffic Signal Control, Information Fusion, 2023, https://doi.org/10.1016/j.inffus.2023.02.009. (SCI一区，Top期刊).

[2] Shantian Yang and Bo Yang. An Inductive Heterogeneous Graph Attention-based Multi-agent Deep Graph Infomax Algorithm for Adaptive Traffic Signal Control. Information Fusion, 88:249-262, 2022. https://doi.org/10.1016/j.inffus.2022.08.001. (SCI一区，Top期刊).

[3] 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 139, 265-277, 2021. https://doi.org/10.1016/j.neunet.2021.03.015. (SCI一区，Top期刊，CCF-B).

[4] Shantian Yang and Bo Yang, A semi-decentralized feudal multi-agent learned-goal algorithm for multi-intersection traffic signal control, Knowledge-Based System, 213, art No. 06708, Dec. 2021. https://doi.org/10.1016/j.knosys.2020.106708. (SCI一区，Top期刊, CCF-C).

[5] 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, 183, art No. 104855, 2019. https://doi.org/10.1016/j.knosys.2019.07.026. (SCI一区，Top期刊, CCF-C).

[6] 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., 2021, pp. 18-25. https://doi.org/10.1109/DASC-PICom-CBDCom-CyberSciTech52372.2021.00019. (EI)

[7] 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, 2021. 139, 358-370. https://doi.org/10.1016/j.neunet.2021.03.030. (SCI一区，Top期刊，CCF-B).

[8] Zhongfeng Kang, Bo Yang, Mads Nielsen, Lihui Deng, Shantian Yang. A Buffered Online Transfer Learning Algorithm with Multi-layer Network. Neurocomputing, 2021. 488, 581-597. https://doi.org/10.1016/j.neucom.2021.11.066. (SCI一区，Top期刊，CCF-C)

[9] Zhongfeng Kang, Bo Yang, Shantian Yang. Online transfer learning with multiple source domains for multi-class classification. Knowledge-Based Systems. 2019. 190, 105149. https://doi.org/10.1016/j.knosys.2019.105149. (SCI一区，Top期刊, CCF-C).

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，在研。

(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。