Dr. Kun Cao

Associate Professor

College of Information Science and Technology

Jinan University, Guangzhou, China

Email: kuncao@jnu.edu.cn

Homepage: https://faculty.jnu.edu.cn/xxkxjsxy/ck2/list.htm


Biography


Kun Cao received the Ph.D. degree in Computer Science from East China Normal University, Shanghai, China, in 2020. He is currently an Associate Professor with the College of Information Science and Technology, Jinan University, Guangzhou, China. His current research interests are in the areas of Internet of things, edge/fog/cloud computing, and cyber-physical systems. He has published 20+ refereed papers in these areas, most of which are published in premium conferences and journals, including IEEE TCAD, IEEE TII, IEEE TAES, IEEE TSUSC, IEEE TPDS, IEEE COMST, ACM CSUR, etc. He received the Young Professional Award from the IEEE Technical Committee on Secure and Dependable Measurement (TCSDM) in 2022. Since 2020/10, he has been serving as an Associate Editor for the Journal of Circuits, Systems, and Computers.


Awards     


Funding 



Editorial Position


Conference Chair




Journal Paper

[TCAD'24] Kun Cao, Mingsong Chen, Stamatis Karnouskos, and Shiyan Hu, Reliability-Aware Personalized Deployment of Approximate Computation IoT Applications in Serverless Mobile Edge Computing, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems  (TCAD), Accepted, 2024， DOI: 10.1109/TCAD.2024.3437344.

[TRel'24] Kun Cao, Jian Weng, and Keqin Li, Reliability-Driven End-End-Edge Collaboration for Energy Minimization in Large-Scale Cyber-Physical Systems, IEEE Transactions on Reliability (TRel), vol. 37, no.1, pp. 230-244, 2024, DOI: 10.1109/TR.2023.3297124. 

[TSUSC'24] Kun Cao, and Jian Weng, REPFS: Reliability-Ensured Personalized Function Scheduling in Sustainable Serverless Edge Computing, IEEE Transactions on Sustainable Computing  (TSUSC), vol: 9, no. 3, pp. 494-511, 2024, DOI: 10.1109/TSUSC.2023.3336691. Supplementary Material

[TCAD'23] 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.

[TCBB'22] 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), Early Access, 2022, DOI:10.1109/TCBB.2022.3207509. 

[TCAD'22] 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, DOI: 10.1109/TCAD.2021.3110743.


[IoTJ'22] Kun Cao, Yangguang Cui, Zhiquan Liu, Wuzheng Tan, and Jian Weng, Edge Intelligent Joint Optimization for Lifetime and Latency in Large-Scale Cyber-Physical Systems, IEEE Internet of Things Journal (IoT-J), vol. 9, no. 2, pp. 22267-22279, 2022. (DOI: 10.1109/JIOT.2021.3102421.)


[TII'21] 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.  (DOI: 10.1109/TII.2020.2975897, Named a 2021 Thomson Reuters ESI Highly Cited Paper, Among Top 1% Most Cited Papers in the Field of Engineering ) 


[TII'21] Kun Cao, Shiyan Hu, Yang Shi, Armando Colombo, Stamatis Karnouskos, and Xin Li, A Survey on Edge and Edge-Cloud Computing Assisted Cyber-Physical Systems, IEEE Transactions on Industrial Informatics (TII), vol. 17, no.11,  pp. 7806-7819, 2021 (DOI: 10.1109/TII.2021.3073066.  As of May/June 2024 , this highly cited paper received enough citations to place it in the top 1% of the academic field of Engineering based on a highly cited threshold for the field and publication year.)


[TCAD'21] Junlong Zhou, Kun Cao, Xiumin Zhou, Mingsong Chen, Tongquan Wei, Shiyan Hu, Throughput-Conscious Energy Allocation and Reliability-Aware Task Assignment for Renewable Powered In-Situ Server Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 41, no. 3, pp.516-529, 2022. (Named a 2022 Thomson Reuters Hot Paper, Among the Top 0.1% of Papers in the Field of Engineering) 


[SPE'21] Kun Cao, Tongquan Wei, Mingsong Chen, Keqin Li, Jian Weng, Wuzheng Tan, Exploring Reliable Edge-Cloud Computing for Service Latency Optimization in Sustainable Cyber-Physical Systems, Software: Practice and Experience (SPE), vol. 51, no. 11, pp. 2225-2237, 2021 (DOI: 10.1002/spe.2942 ).


[TCAD'20]  Kun Cao, Junlong Zhou, Guo Xu, Tongquan Wei, and Shiyan Hu, Exploring renewable-adaptive computation offloading for hierarchical QoS optimization in fog computing, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 39, no. 10, pp. 2095-2108, 2020. (DOI: 10.1109/TCAD.2019.2957374)


[TCAD'20]  Yangguang Cui, Kun Cao, Liying Li, Junlong Zhou, Tongquan Wei, and Shiyan Hu, Augmented cross-entropy-based joint temperature optimization of real-time 3D MPSoC systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 39, no. 10, pp. 1987-1999, 2020. (DOI: 10.1109/TCAD.2019.2939328)


[CSUR'20]  Peijin Cong, Junlong Zhou, Liying Li, Kun Cao, Tongquan Wei, Keqin Li, A survey of hierarchical energy optimization for mobile edge computing: A perspective from end devices to the cloud, ACM Computing Surveys (CSUR), vol. 53, no. 2, pp. 1-44, 2020.


[TSUSC'20] Xinli Huang, Fanshuo Li, Kun Cao, Peijin Cong, Tongquan Wei, and Shiyan Hu, Queueing theoretic approach for performance-aware modeling of sustainable SDN control planes, IEEE Transactions on Sustainable Computing (TSUSC), vol. 5, no. 1, pp. 121-133, 2020. (DOI: 10.1109/TSUSC.2018.2889561)


[TAES'20] Xiaodao Chen, Hao Yu, Kun Cao, Junlong Zhou, Tongquan Wei, and Shiyan Hu, Uncertainty-aware flight scheduling for airport throughput and flight delay optimization, IEEE Transactions on Aerospace and Electronic Systems (TAES), vol. 56, no. 2, pp. 853-862, 2020. (DOI: 10.1109/TAES.2019.2921193)


[TCAD'19] Kun Cao, Guo Xu, Junlong Zhou, Tongquan Wei, Mingsong Chen, and Shiyan Hu, QoS-adaptive approximate real-time computation for mobility-aware IoT lifetime optimization, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 38, no. 10, pp. 1799-1810, 2019. (DOI: 10.1109/TCAD.2018.2873239, Named a 2021 Thomson Reuters ESI Highly Cited Paper, Among Top 1% Most Cited Papers in the Field of Engineering )


[TCAD'19] Kun Cao, Junlong Zhou, Peijin Cong, Liying Li, Tongquan Wei, Mingsong Chen, Shiyan Hu, and Xiaobo Sharon Hu, Affinity-driven modeling and scheduling for makespan optimization in heterogeneous multiprocessor systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 38, no. 7, pp. 1189-1202, 2019.(DOI: 10.1109/TCAD.2018.2846650)


[TCAD'19] Liying Li, Peijin Cong, Kun Cao, Junlong Zhou, Tongquan Wei, Mingsong Chen, Shiyan Hu, and Xiaobo Sharon Hu, Game theoretic feedback control for reliability enhancement of EtherCAT-based networked systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 38, no. 9, pp. 1599-1610, 2019. (DOI: 10.1109/TCAD.2018.2859241)


[FGCS'19]  Kun Cao, Guo Xu, Junlong Zhou, Mingsong Chen, Tongquan Wei, and Keqin Li, Lifetime-aware real-time task scheduling on fault-tolerant mixed-criticality embedded systems, Future Generation Computer Systems (FGCS), vol. 100, pp. 165-175, 2019 (DOI:10.1016/j.future.2019.05.022)


[JSA'19] Kun Cao, Junlong Zhou, Tongquan Wei, Mingsong Chen, Shiyan Hu, and Keqin Li, A survey of optimization techniques for thermal-aware 3D processors, Journal of Systems Architecture (JSA), vol. 97, pp. 397-415, 2019. (DOI: 10.1016/j.sysarc.2019.01.003)


[COMOST'19]  Xinli Huang, Shang Cheng, Kun Cao, Peijin Cong, Tongquan Wei, and Shiyan Hu, A survey of deployment solutions and optimization strategies for hybrid SDN networks, IEEE Communications Surveys and Tutorials (COMST), vol. 21, no. 2, pp. 1483-1507, 2019. (DOI: 10.1109/COMST.2018.2871061)


[TPDS'18] Peijin Cong, Liying Li, Junlong Zhou, Kun Cao, Tongquan Wei, Mingsong Chen, and Shiyan Hu, Developing user perceived value based pricing models for cloud markets, IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 29, no. 12, pp. 2742-2756, 2018. (DOI: 10.1109/TPDS.2018.2843343)


[JSA'18]  Junlong Zhou, Jianming Yan, Kun Cao, Yanchao Tan, Tongquan Wei, Mingsong Chen, Gongxuan Zhang, Xiaodao Chen, and Shiyan Hu, Thermal-aware correlated two-level scheduling of real-time tasks with reduced processor energy on heterogeneous MPSoCs, Journal of Systems Architecture (JSA), vol. 82, pp: 1-11, 2018. (DOI: 10.1016/j.sysarc.2017.09.007)


[TCAD'17] Tongquan Wei, Junlong Zhou, Kun Cao, Peijin Cong, Mingsong Chen, Gongxuan Zhang, Xiaobo Sharon Hu, and Jianming Yan, Cost-constrained QoS optimization for approximate computation real-time tasks in heterogeneous MPSoCs, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 37, no. 9, pp. 1733-1746, 2017. (DOI: 10.1109/TCAD.2017.2772896)


[JSS'17]  Junlong Zhou, Kun Cao, Peijin Cong, Tongquan Wei, Mingsong Chen, Gongxuan Zhang, Jianming Yan, and Yue Ma, Reliability and temperature constrained task scheduling for makespan minimization on heterogeneous multi-core platforms, Journal of Systems and Software (JSS), vol. 133, pp. 1-16, 2017. (DOI:10.1016/j.jss.2017.07.032)





Conference Paper


[ICITES'22]  Mingyi Qiu, Kun Cao, Donghong Cai, Zhicheng Dong, and Yangguang Cui, Low-Complexity Joint Estimation for Asynchronous Massive Internet of Things: An ADMM Approach,  International Conference on Intelligent Technology and Embedded Systems (ICITES) , pp. 1-7, 2022. (IEEE Best Paper Award)


[DATE'22]  Yangguang Cui, Kun Cao, Junlong Zhou, and Tongquan Wei, HELCFL: High-Efficiency and Low-Cost Federated Learning    in Heterogeneous Mobile-Edge Computing, IEEE Design, Automation and Test in Europe Conference and Exhibition (DATE), pp. 1227-1232, 2022. 


[iThings'21] Mingyue Zhang, Junlong Zhou, Kun Cao, Shiyan Hu, Trusted Anonymous Authentication For Vehicular Cyber-Physical Systems, International Conferences on Internet of Things (iThings), pp. 3-44, 2020. (IEEE Best Paper Award)


[ASPDAC'21] Tian Wang, Kun Cao, Junlong Zhou, Gongxuan Zhang, Xiji Wang, Power-Efficient Layer Mapping for CNNs on Integrated CPU and GPU Platforms: A Case Study, Asia and South Pacific Design Automation Conference (ASP-DAC), pp. 627-632, 2021.


[ISPA'19] Ruiming Yang, Kun Cao, Peijin Cong, Junlong Zhou, Tongquan Wei, Mingsong Chen, Personality-aware VNF deployment for profit maximization, IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), pp. 380-387, 2019.


[DATE'18]  Liying Li, Peijin Cong, Kun Cao, Junlong Zhou, Tongquan Wei, Mingsong Chen, and Xiaobo Sharon Hu, Feedback control of real-time EtherCAT networks for reliability enhancement in CPS, IEEE Design, Automation and Test in Europe Conference and Exhibition (DATE), pp. 688-693, 2018. (DOI: 10.23919/DATE.2018.8342097)


[ISSSR'16] Kun Cao, Junlong Zhou, Min Yin, Tongquan Wei, and Mingsong Chen, Static thermal-aware task assignment and scheduling for makespan minimization in heterogeneous real-time MPSoCs, IEEE International Symposium on System and Software Reliability (ISSSR), vol. 97, pp. 111-118, 2016. (DOI: 10.1109/ISSSR.2016.026)


[ICPADS'16] Junlong Zhou, Jianfei Chen, Kun Cao, Tongquan Wei, and Mingsong Chen, Game theoretic energy allocation for renewable powered in-situ server systems, IEEE International Conference on Parallel and Distributed Systems (ICPADS), pp. 721-728, 2016. (DOI:10.1109/ICPADS.2016.0099)



中文期刊

[计算机研发'23] 曹坤，龙赛琴，李哲涛. CPU-GPU MPSoC中使用寿命驱动的OpenCL应用调度方法，计算机研究与发展, 2023, 60(5): 976-991.


Reviewer



TPC Member


Patents