Yangguang Cui

Yangguang Cui

Assistant Professor, Master Supervisor

Yangguang Cui received the Ph.D. degree in Computer Science from East China Normal University, Shanghai, China, in 2023. He is currently an assistant professor with the School of Computer Science, Shanghai University, Shanghai, China. His current research interests are in the areas of Distributed AI and Federated Learning. He has published 20+ refereed papers in these areas, most of which are published in premium conferences and journals, including IEEE TCAD, IEEEE TII, IEEE T-ASE, IEEE/ACM TCBB, IEEE IOT, Elsevier JSA, IEEE/ACM DATE, IEEE BIBM, etc. I’m looking for bright and self-motivated graduate candidates and undergraduate students, who have good English and coding skills, to join us! If you are currently studying at Shanghai University and want to work with me (or you just want to discuss your brilliant idea with me), feel free to send me an email to arrange an appointment. My email is ygcui@shu.edu.cn

🔥 News

  • 2023.10: 🎉 One paper got accepted by IEEE TC(CCF A).
  • 2023.10: 🎉 Two papers got accepted by MSN 2023.
  • 2023.08: 🎉 One paper got accepted by CWSN 2023.
  • 2023.07: 🎉 I was invited to serve as an Associate Editor of the Journal of Circuits, Systems, and Computers (SCI-indexed)
  • 2023.06: 🎉 I joined Shanghai University as an assistant professor

📝 Publications

  • IEEE TCAD Yangguang Cui, Kun Cao, Guitao Cao, Meikang Qiu, and Tongquan Wei, Client Scheduling and Resource Management for Efficient Training in Heterogeneous IoT-Edge Federated Learning, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 41, no. 8, pp. 2407-2420, 2022. (SCI检索, CCF-A类期刊)
  • IEEE TCAD Yangguang Cui, Kun Cao, Junlong Zhou, and Tongquan Wei, Optimizing Training Efficiency and Cost of Hierarchical Federated Learning in Heterogeneous Mobile-Edge Cloud Computing, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 42, no. 5, pp. 1518-1531, 2023. (SCI检索, CCF-A类期刊)
  • IEEE TII Yangguang Cui, Kun Cao, and Tongquan Wei, Reinforcement Learning-Based Device Scheduling for Renewable Energy-Powered Federated Learning, IEEE Transactions on Industrial Informatics (TII), vol. 19, no. 5, pp. 6264-6274, 2023. (SCI检索, SCI 一区top期刊)
  • IEEE TCAD Yangguang Cui, Kun Cao, Liying Li, Junlong Zhou, Tongquan Wei, and Shiyan Hu, Augmented Cross-Entropy-Based Joint Temperature Optimization of Real-Time 3-D MPSoC Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 39, no. 10, pp. 1987-1999, 2020. (SCI检索, CCF-A类期刊)
  • IEEE T-ASE Yangguang Cui, Liying Li, Zhe Tao, Mingsong Chen, and Tongquan Wei, Filtering Out High Noise Data for Distributed Deep Neural Networks, IEEE Transactions on Automation Science and Engineering (T-ASE), vol. 20, no. 1, pp. 101-111, 2023. (SCI检索, SCI一区top期刊)
  • IEEE/ACM DATE Yangguang Cui, Kun Cao, Junlong Zhou, and TongquanWei, HELCFL: High-Efficiency and Low-Cost Federated Learning in Heterogeneous Mobile-Edge Computing, IEEE Design, Automation & Test in Europe Conference (DATE), pp. 1227-1232, 2022. (EI检索, CCF-B类EDA顶会)
  • IEEE IoT J Kun Cao, Yangguang Cui, Zhiquan Liu, Wuzheng Tan, and JianWeng, Edge Intelligent Joint Optimization for Lifetime and Latency in Large-Scale Cyber-Physical Systems, IEEE Internet of Things Journal (IoT J), vol. 9, no. 22, pp. 22267-22279, 2022. (SCI 检索, SCI一区top期刊)
  • IEEE TII Kun Cao, Liying Li, Yangguang Cui, Tongquan Wei, and Shiyan Hu, Exploring Placement of Heterogeneous Edge Servers for Response Time Minimization in Mobile Edge-Cloud Computing, IEEE Transactions on Industrial Informatics (TII), vol. 17, no. 1, pp. 494-503, 2021. (SCI 检索, SCI一区Top期刊)
  • IEEE/ACM TCBB Kun Cao, Yangguang Cui, Liying Li, Junlong Zhou, and Shiyan Hu, CPU-GPU Cooperative QoS Optimization of Personalized Digital Healthcare Using Machine Learning and Swarm Intelligence, IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 2022. (SCI检索, CCF-B类期刊)
  • Elsevier JSA Dongwei Qian, Yangguang Cui, Feng Liu, Tongquan Wei, FedEntropy: Information-Entropy-Aided Training Optimization of Semi-Supervised Federated Learning, Journal of Systems Architecture (JSA), 2022. (SCI索引, SCI二区/CCF-B类期刊)
  • Elsevier JSA Jun Chen, Liying Li, Yangguang Cui, Tongquan Wei, Fuke Shen, and Meikang Qiu, Utility-Driven Renewable Energy Sharing Systems for Community Microgrid, Journal of Systems Architecture (JSA), 2022. (SCI检索, SCI二区/CCF-B类期刊)
  • Elsevier JSA Haizhou Wang, Liying Li, Yangguang Cui, Nuo Wang, Fuke Shen, Tongquan Wei, MBSNN: A Multi-Branch Scalable Neural Network For Resource-Constrained IoT Devices, Journal of Systems Architecture (JSA), 2023. (SCI检索, SCI二区/CCF-B类期刊)
  • IEEE BIBM Jun Chen, Yangguang Cui, Fuke Shen, Jianhua Shen, and Tongquan Wei, DBANet: A Dual Branch Attention-Based Deep Neural Network for Biological Iris Recognition, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 1497-1500, 2022.(EI检索, CCF-B类会议)
  • ICANN Zengxiang Ke, Yangguang Cui, Liying Li, and Tongquan Wei, ML-FORMER: Multivariate Long Sequence Time-series Forecasting with Transformer, International Conference on Artificial Neural Networks (ICANN), pp. 716-727, 2022. (EI检索, CCF-C类会议)
  • IEEE UIC Chunwei Chang, Yangguang Cui, Jianhua Shen, Tongquan Wei, CAIM: A Context -Aware Incentive Mechanism for Robust Federated Learning, IEEE International Conference on Ubiquitous Intelligence and Computing (UIC), 2022.(EI检索, CCF-C类会议)
  • IEEE ICITES Mingyi Qiu, Kun Cao, Donghong Cai, Zhicheng Dong, and Yangguang Cui, Low-Complexity Joint Estimation for Asynchronous Massive Internet of Things: An ADMM Approach, In Proceedings of the IEEE International Conference on Intelligent Technology and Embedded Systems (ICITES), pp. 13-20, 2022. (IEEE Best Paper Award)
  • IEEE SmartCity Yufan Shen, Kun Cao, Yangguang Cui, Chengliang Zhou, Gongxuan Zhang, and Junlong Zhou, Lifetime-Driven Scheduling of Security-Critical Internet-of-Things Applications on Real-Time Heterogeneous Multicore Systems, IEEE International Conference on Smart City (SmartCity), pp. 1466-1474, 2022. (EI检索)

🎖 Honors and Awards

  • 2022.08 Best Paper Award from the 2nd International Conference on Intelligent Technology and Embedded Systems
  • 2022.09 National Scholarship (国家奖学金)
  • 2019.09 National Scholarship (国家奖学金)
  • 2023.03 Outstanding Graduate, Shanghai (上海市优秀毕业生)
  • 2021.12 Huaxin Scholarship，etc

📖 Educations

  • M.S and Ph.D (Computer Science and Technology) at East China Normal University, Shanghai, China(Sep, 2018 - Jun, 2023)
  • B.S (Computer Science and Technology) at East China Normal University, Shanghai, China(Sep, 2014 - Jul, 2018)

💬 Invited Talks

  • 2022.03, DATE 2022

💻 Internships

  • 2019.03 - 2020.03, research intern, Duke Kunshan University, Kunshan

📚 Academic Services

  • I have served as an Associate Editor of the Journal of Circuits, Systems, and Computers (SCI indexed) since 2023.07
  • I have served in the reviewer/TPC of TSC, TII, NIPS, IoT J, TODAES，JSPE, TJSC, JCSC, WASA, ICA3PP, HPCC, ICANN, UIC and many other journals/conferences.