政治面貌

中國(guó)共黨員

職稱(chēng)

講師

職務(wù)

教師

畢業(yè)學(xué)校

西安電子科技大學(xué)

最高學(xué)歷

博士研究生

最高學(xué)位

工學(xué)博士

所在系部室

電氣工程系

所在學(xué)科

控制科學(xué)與工程

導(dǎo)師類(lèi)型

無(wú)

辦公地址

陜西科技大學(xué)逸夫樓A415

聯(lián)系方式（電話(huà)/Email/QQ等）

yaoyaoping@sust.edu.cn

學(xué)習(xí)工作經(jīng)歷

學(xué)習(xí)經(jīng)歷（本科起）：

2013.09-2017.06     山西大同大學(xué)         數(shù)學(xué)與應(yīng)用數(shù)學(xué)(本科)

2017.09-2020.06    北方工業(yè)大學(xué)                   數(shù)學(xué)(碩士)

2020.09-2024.12          西安電子科技大學(xué)       控制科學(xué)與工程(博士)

工作經(jīng)歷：2024.12-至今   陜西科技大學(xué)電控學(xué)院

當(dāng)前主要研究方向/工作分工

智能制造、深度強(qiáng)化學(xué)習(xí)、云制造調(diào)度、云邊協(xié)同、工業(yè)互聯(lián)網(wǎng)

承擔(dān)主要科研項(xiàng)目/教學(xué)任務(wù)

參與國(guó)家級(jí)科研項(xiàng)目2項(xiàng)

·國(guó)家自然科學(xué)基金面上項(xiàng)目，“基于深度強(qiáng)化學(xué)習(xí)的云制造調(diào)度問(wèn)題研究”，2020.01 - 2023.12，參與

·國(guó)家自然科學(xué)基金面上項(xiàng)目，“基于隱性特征發(fā)現(xiàn)的云制造服務(wù)可信度評(píng)估方法研究”，2019.01-2022.12，參與

主要教學(xué)/科研

成果或

工作業(yè)績(jī)

總共發(fā)表期刊和會(huì)議論文10余篇

期刊論文

 ? Ping, Y., Liu, Y., Zhang, L., Wang, L., & Xu, X. (2023.04). Sequence generation for multi-task scheduling in cloud manufacturing with deep reinforcement learning. Journal of Manufacturing Systems, 67, 315-337. (中科院1區(qū)top期刊, IF: 12.3, JCR一區(qū))

? Ping, Y., Liu, Y., Zhang, L., Wang, L., & Xu, X. (2023.04). Deep reinforcement learning-based multi-task scheduling in cloud manufacturing under different task arrival modes. Journal of Manufacturing Science and Engineering, 145(8): 081003. (中科院3區(qū)期刊) 美國(guó)機(jī)械工程師學(xué)會(huì)會(huì)刊

? Ping, Y., Liu, Y., Zhang, L., & Wang, L., & Xu, X. (2023.11). Enterprise and service-level scheduling of robot production services in cloud manufacturing with deep reinforcement learning. Journal of Intelligent Manufacturing.

https://doi.org/10.1007/s10845-023-02285-z (中科院2區(qū)期刊)

? Liu, Y., Ping, Y., Zhang, L., Wang, L., & Xu, X. (2023). Scheduling of decentralized robot services in cloud manufacturing with deep reinforcement learning. Robotics and Computer-Integrated Manufacturing, 80, 102454. (中科院1區(qū)top期刊, IF: 9.1, JCR一區(qū))

? 劉永奎, 曾鳴, 張霖, 郭金維, 原思陽(yáng), & 平垚垚. (2022). 基于微服務(wù)架構(gòu)的云制造調(diào)度仿真系統(tǒng)設(shè)計(jì)與開(kāi)發(fā). 系統(tǒng)仿真學(xué)報(bào), 34(4), 12. (中文核心) 中國(guó)仿真學(xué)會(huì)會(huì)刊

? Liu, B., Ping, Y., Wu, L., & Su, H. (2020). Controllability of discrete-time multi-agent systems based on absolute protocol with time-delays. Neurocomputing, 409, 316-328. (中科院2區(qū)top期刊)

? Niu, W., Liu, Y., Ping, Y., & Zhang, L. (2024). Platform-enterprise collaborative scheduling in cloud manufacturing with deep reinforcement learning. International Journal of Modeling, Simulation, and Scientific Computing. https://doi.org/10.1142/S1793962325410107 (EI期刊)

會(huì)議論文

? Ping, Y., Xu, N., Bai, J., & Lu, X. (2019, November). Controllability of some special topologies with time-delays. In International Conference on Bio-Inspired Computing: Theories and Applications (pp. 58-67). Singapore: Springer Singapore.

? Li, C., Ping, Y., Liu, B., Sun, D., & Deng, X. (2019, July). Controllability of discrete-time heterogeneous multi-agent systems with time-delay. In 2019 Chinese Control Conference (CCC) (pp. 5897-5902). IEEE.

? Xu, N., Ping, Y., Bai, J., & Lu, X. (2019, November). Controllability of second-order discrete-time multi-agent systems with switching topology. In International Conference on Bio-Inspired Computing: Theories and Applications (pp. 68-76). Singapore: Springer Singapore.

主要人才稱(chēng)號(hào)/

榮譽(yù)/獎(jiǎng)勵(lì)

無(wú)

主要社會(huì)兼職

期刊Journal of Supercomputing、Cluster Computing、International Journal of Modeling, Simulation, and Scientific Computing和系統(tǒng)仿真學(xué)報(bào)的審稿人；中國(guó)人工智能學(xué)會(huì)、中國(guó)仿真學(xué)會(huì)會(huì)員