杨晨

个人信息

　　杨晨，特别研究员/长聘副教授，博士生导师。

　　北京航空航天大学高等理工学院(沈元荣誉学院)学士和博士，后留学加拿大韦仕敦大学和香港大学，兼任HKU Ziri-Lab副研究主任，从事云边协同计算、多模态机器学习、物联网和智能云制造/物流研究。曾在华为公司2012实验室任智能化研发技术专家和全球尖端技术合作主管。

　　主持国家重点研发计划项目1项、国家自然科学基金项目3项、国家重点实验室开放基金1项，作为骨干参与国家973和863计划项目3项，其它来源项目9项，申请专利8项；发表SCI论文25篇（一作和通讯作者18篇，平均影响因子2.0以上），参与撰写4本学术专著和起草1份标准草案。担任SCI期刊 Ind. Manage. Data Syst., Adv. Eng. Inform., Comput. Oper. Res. 特刊主编，以及 IEEE TMC, IEEE ITS, IEEE TASE, IEEE IOTJ, IEEE Trans. SMC: Syst., IEEE Trans. Cybernetics, Robot. and Comput.-Integr. Manuf., Cluster Comput. 等SCI期刊审稿人。

　　欢迎对本课题组研究与实践感兴趣的学生/学者加入！

　　NEWS: 拟招聘1-2名大模型安全、云安全、云边端算力网络安全、工业互联网和智能制造方向博士后，每年计划招收博士生1名、硕士生3-4名，也欢迎对科研感兴趣的本科生提前进入实验室实习！

科研方向

• 云边端算力网络

• 大小模型协同演化

• 智能系统节点与数据安全

• 工业互联网架构与资源调度

• 软件测试理论与方法

主要获奖

• 北京理工大学-优秀教育教学成果奖一等奖2024

• IEEE iCaMaL 2024最佳论文一等奖

• 2022, 2023年度“全球前2%顶尖科学家榜单”（World's Top 2% Scientists 2022, 2023）

• 小米青年学者2023

• IEEE CSCWD 2023最佳应用论文奖

学术任职

期刊任职

• Journal of Manufacturing Systems (一区SCI)，Editorial Board Member

• IET Collaborative Intelligent Manufacturing，Associate Editor

程序委员会委员

• CSCWD: 2022, 2021, 2019

• IWCMC: 2020

理事会任职

• 中国计算机学会，区块链专业委员会执行委员

• 信息技术新工科产学研联盟，网络空间安全工作委员会委员

• 信息技术新工科产学研联盟，工业互联网工作委员会秘书长

科研项目

• 国家自然科学基金面上项目，2025-2028，项目负责人

• 国家自然科学基金企业创新发展联合基金课题，2025-2028，课题负责人

• 国家自然科学基金青年项目，2022-2024，项目负责人

• 国家重点研发计划项目（青年科学家），2021-2024，项目负责人

• 国家重点研发计划课题-面向装备智能互联的多源异构数据融合，2020-2023，参与

• 工业与信息化部工业互联网发展工程项目（3项），2019-2023，参与

代表论文

Full publication list and citation: [Google Scholoar]

1. Q Chen, C Yang, S Lan, L Zhu, Y Zhang. Two-stage evolutionary search for efficient task offloading in edge computing power networks. IEEE Internet of Things Journal, 2024. [Download]

2. Z Lai, C Yang, S Lan, L Wang, W Shen, L Zhu. BearingFM: Towards a foundation model for bearing fault diagnosis by domain knowledge and contrastive learning. International Journal of Production Economics, 2024. [Download]

3. Y Wang, C Yang, S Lan, W Fei, L Wang, GQ Huang, L Zhu. Towards industrial foundation models: Framework, key issues and potential applications. The 27th IEEE CSCWD, 2024. [Download]

4. Yingchao Wang, Chen Yang, Shulin Lan, Liehuang Zhu, Yan Zhang. End-Edge-Cloud Collaborative Computing for Deep Learning: A Comprehensive Survey. IEEE Communications Survey & Tutorials, 2024. [Download]

5. Chen Yang, Yushi Wang, Shulin Lan, Liehuang Zhu. Multi-agent reinforcement Learning based Distributed Channel Access for Industrial Edge-cloud Web 3.0. IEEE Transactions on Network Science and Engineering, 2024. [Download]

6. Chen Yang, Yingchao Wang, Yinfei Jiang, Shulin Lan, Lihui Wang. Metaverse: Architecture, Technologies, and Industrial Applications. The 19th IEEE CASE 2023, 2023. [Download]

7. Chen Yang, Zou Lai, Yingchao Wang, Shulin Lan, Lihui Wang, Liehuang Zhu. A Novel Bearing Fault Diagnosis Method based on Stacked Autoencoder and End-edge Collaboration. The 26th IEEE CSCWD, 2023. (Best Application Paper Award) [Download]

8. Chen Yang, Qunjian Chen, Zexuan Zhu, Zhi-An Huang, Shulin Lan, Liehuang Zhu. Evolutionary Multitasking for Costly Task Offloading in Mobile Edge Computing Networks. IEEE Transactions on Evolutionary Computation, 2023. [Download]

9. 赵亚洲, 兰舒琳, 杨晨*, 王力翚, 祝烈煌. 元宇宙架构及其安全性问题分析. 《工业信息安全》杂志, 2022. [Download]

10. Chen Yang, Yingchao Wang, Shulin Lan, etc. Cloud-edge-device collaboration mechanisms of deep learning models for smart robots in mass personalization. Robotics and Computer-Integrated Manufacturing, 2022. [Download]

11. Lixiang Zhang, Chen Yang, Yan Yan, Yaoguang Hu. Distributed real-time scheduling in cloud manufacturing by deep reinforcement learning. IEEE Transactions on Industrial Informatics, 2022. [Link]

12. Chen Yang, Shulin Lan, Zhiheng Zhao, etc. Edge-cloud Blockchain and IoE enabled Quality Management Platform for Perishable Supply Chain Logistics. IEEE Internet of Things Journal, 2022. [Download]

13. Chen Yang, Fangyin Liao, Shulin Lan, Lihui Wang, Weiming Shen, George Q. Huang. Flexible Resource Scheduling for Software-Defined Cloud Manufacturing with Edge Computing, ENGINEERING, 2021. [Download]

14. 杨晨，马瑞成，王雨石，翟岩龙，祝烈煌. 深度学习与工业互联网安全：应用与挑战[J].《中国工程科学》, 2021, 23(2):95-103. [Download] [English Version Download]

15. Tingyu Lin, Zhengxuan Jia, Chen Yang*, etc. Evolutionary digital twin: A new approach for intelligent industrial product development. Advanced Engineering Informatics, 2021, 47, 101209.[Download]

16. Tingyu Lin, Guoqiang Shi, Chen Yang*, etc. Efficient container virtualization-based digital twin simulation of smart industrial systems. Journal of Cleaner Production, 2021, 281, 124443.[Download]

17. Chen Yang, Weiming Shen, Xianbin Wang, The Internet of Things in Manufacturing: Key Issues and Potential Applications. IEEE Systems, Man, and Cybernetics Magazine, 2018, 4(1): 6-15. [Download]

18. Zhiheng Zhao, Mengdi Zhang, Chen Yang*, etc., Distributed and collaborative proactive tandem location tracking of vehicle products for warehouse operations. Computers & Industrial Engineering, 2018, 125: 637-648.

19. Chen Yang, Shulin Lan, Weiming Shen, etc., Towards product customization and personalization in IoT-enabled cloud manufacturing. Cluster Computing, 2017, 20(2): 1717-1730. [Download]

20. Tingyu Lin, Chen Yang*, etc., Multi-centric management and optimized allocation of manufacturing resource and capability in cloud manufacturing system. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2017, 231(12): 2159-2172.

21. Chen Yang, Peng Chi, Xiao Song, etc., An efficient approach to collaborative simulation of variable structure systems on multi-core machines. Cluster Computing, 2016, 19(1): 29-46.