李玉庭导师
基本信息
|
学 院: |
太阳成集团tyc234cc(中国)有限公司 |
导师类别: |
硕士生导师 |
出生年月: |
1993年10月 |
职 称: |
讲师 |
学 历: |
博士研究生 |
学 位: |
博士 |
个人简介:
博士,硕士生导师。2021年毕业于韩国汉阳大学(Hanyang University),获博士学位。2021年6月加入湖北工业大学太阳成集团tyc234cc(中国)有限公司计算机科学与技术系。曾参与韩国国家研究基金会、韩国工业技术学部资助的多项国家级科研项目,发表学术论文十余篇。目前主要研究方向为机器学习(主要为深度学习、强化学习和深度强化学习)算法设计以及在工业物联网中的应用。
个人邮箱:ytli@hbut.edu.cn。
招生信息:
1.招生学科:计算机科学与技术/电子信息
2.研究方向:机器学习及应用
3.招生年度:2024年
科研项目:
[1] 基于时间敏感网络的通信架构及增量流量路由调度算法研究科研项目(主持)。
成果获奖:
[1] Yuting Li, Junhui Jiang and Seung Ho Hong, "Joint traffic routing and scheduling algorithm eliminating the nondeterministic interruption for TSN networks used in IIoT," IEEE Internet of Things Journal, vol. 9, no. 19, pp. 18663-18680, Oct.1, 2022. (SCI 一区)
[2] Junhui Jiang, Yuting Li, Xiongfeng Zhang, Mengmeng Yu, Chang Dae Lee, and Seung Ho Hong, “Assessing the traffic scheduling method for time-sensitive networking (TSN) by practical implementation”, Journal of Industrial Information Integration, Jun. 1, 2023. (SCI 一区,共一)
[3] Yuting Li, Junhui Jiang, Changdae Lee and Seung Ho Hong, "Practical implementation of an OPC UA TSN communication architecture for a manufacturing system," IEEE Access, vol. 8, pp. 200100-200111, 2020. (SCI 三区)
[4] Renzhi Lu, Yi-Chang Li, Yuting Li, Junhui Jiang and Yuemin Ding, "Multi-agent deep reinforcement learning based demand response for discrete manufacturing systems energy management," Applied Energy, vol. 276, pp. 115473, 2020. (SCI 一区)
[5] Huang Xuefei, Seung Ho Hong and Yuting Li, "Hour-ahead price based energy management scheme for industrial facilities," IEEE Transactions on Industrial Informatics, vol. 13, no. 6, pp. 2886-2898, 2017. (SCI 一区)
[6] Seung Ho Hong, Yuting Li; 중앙 네트워크 구성개체 및 이를 포함하는 시간 민감 네트워크 제어 시스템, 2022-2-4, 10-2360461 (韩国专利)
[7] Seung Ho Hong, Yuting Li; Centralized network configuration entity and time-sensitive network control system comprising same,US Patent App. 17/768,512, 2024.