Research Focus

• Cloud computing, edge computing: build a small edge cloud system model at the system level, and on this basis, realize various applications such as edge device detection and recognition, task distribution and unloading, optimized transmission of video streams, virtual/augmented reality, artificial intelligence algorithms, and optimize their performance (such as delay, load, etc.) and develop the system framework platform. At the theoretical level, the combination optimization theory, deep reinforcement learning and other algorithms are applied to optimize the scheduling and allocation of resources.
• Network function virtualization, software-defined network, quantum network and other new network architectures: the realization of resource distribution and application request system and platform for network function virtualization based on software-defined network; Optimize the implementation of routing algorithm, resource automatic control strategy and fault recovery and detection mechanism; the integration of multi-protocol and communication technology in the next generation network framework.
• Development and application of artificial intelligence algorithms and the Internet of Things: optimization and improvement of algorithms such as deep reinforcement learning and graph neural network; Develop application systems related to the Internet of Things based on artificial intelligence algorithms, such as intelligent transportation.

Selected Publications

[Conference papers]

• [INFOCOM] X. Yue, S. Yang*, L. Zhu, S. Trajanovski, and X. Fu, “Demeter: Fine-grained Function Orchestration for Geo-distributed Serverless Analytics”, IEEE INFOCOM 2024 (CCF A)
• [INFOCOM] Y. Cao, F. Li*, H. Chen, X. Liu, S. Zhai, S. Yang and Y. Wang, “Live Speech Recognition via Earphone Motion Sensors”, IEEE INFOCOM 2024 (CCF A)
• [INFOCOM] X. Liu, F. Li*, Y. Cao, S. Zhai, S. Yang and Y. Wang, “PPGSpotter: Personalized Free Weight Training Monitoring Using Wearable PPG Sensor”, IEEE INFOCOM 2024 (CCF A)
• [INFOCOM] B. Hou, S. Yang*, L. Jiao, F. Kuipers and X. Fu, “EAVS: Edge-assisted Adaptive Video Streaming with Fine-grained Serverless Pipelines”, IEEE INFOCOM 2023 (CCF A)
• [INFOCOM] Y. Cao, H. Chen, F. Li*, S. Yang and Y. Wang, "AWash: Handwashing Assistance for the Elderly with Dementia via Wearables," IEEE INFOCOM 2021 (CCF A)
• [IWQOS] N. He, S. Yang*, F. Li, S. Trajanovski, F. A. Kuipers and X. Fu, "A-DDPG: Attention Mechanism-based Deep Reinforcement Learning for NFV," IEEE/ACM 29th International Symposium on Quality of Service, 2021 (CCF B)
• [INFOCOM] Y. Cao, Q. Zhang, F. Li*, S. Yang and Y. Wang, “PPGPass: Nonintrusive and Secure Mobile Two-Factor Authentication via Wearables, IEEE INFOCOM 2020 (CCF A)
• [UbiComp] H. Chen, F. Li*, W. Du, S. Yang, M. Conn and Y. Wang, “Listen to Your Fingers: User Authentication Based on Geometry Biometrics of Touch Gesture”, ACM UbiComp, 2020 (CCF A)
• [INFOCOM] Y. Xie, F. Li*, Y. Wu, S. Yang, and Y. Wang, “D3-Guard: Acoustic-based Drowsy Driving Detection Using Smartphones”, IEEE INFOCOM 2019 (CCF A)
• [IM] S. Yang*, P. Wieder, M. Aziz, R. Yahyapour and X. Fu, “Latency-Sensitive Data Allocation for Cloud Storage”, 15th IFIP/IEEE Integrated Network Management, 2017 (CCF C)

[Journal articles]

• [TMC] K. Xiao, S. Yang*, F. Li, L. Zhu, X. Chen and X. Fu, “Making Serverless Not So Cold in Edge Clouds: A Cost-Effective Online Approach”, IEEE Transactions on Mobile Computing, 2024 (CCF A)
• [TPDS] N. He, S. Yang*, F. Li, S. Trajanovski, L. Zhu, Y. Wang and X. Fu, “Leveraging Deep Reinforcement Learning with Attention Mechanism for Virtual Network Function Placement and Routing”, in IEEE Transactions on Parallel and Distributed Systems, vol. 34, no. 4, pp. 1186-1201, April 2023 (CCF A)
• [TMC] Y. Gao, S. Yang*, F. Li, S. Trajanovski, P. Zhou, P. Hui and X. Fu, “Video Content Placement at the Network Edge: Centralized and Distributed Algorithms”, IEEE Transactions on Mobile Computing, 2022 (CCF A)
• [TPDS] S. Yang*, L. Jiao, R. Yahyapour and J. Cao, “Online Orchestration of Collaborative Caching for Multi-Bitrate Videos in Edge Computing”, IEEE Transactions on Parallel and Distributed Systems, 2022 (CCF A)
• [TSC] S. Yang*, F. Li, R. Yahyapour and X. Fu, “Delay-Sensitive and Availability-Aware Virtual Network Function Scheduling for NFV”, IEEE Transactions on Services Computing, vol. 15, no.1, 2022 (CCF A)
• [IoT-J] S. Yang*, J. Liu, F. Zhang*, F. Li, X. Chen and X. Fu, “Caching-Enabled Computation Offloading in Multi-Region MEC Network via Deep Reinforcement Learning”, IEEE Internet of Things Journal, 2022
• [NETWORK] Y. Gao, S. Yang*, F. Li, and X. Fu, “Adaptive and Efficient Qubit Allocation Using Reinforcement Learning in Quantum Networks”, IEEE Networks, September 2022
• [TPDS] S. Yang*, F. Li, S. Trajanovski, R. Yahyapour and X. Fu, “Recent Advances of Resource Allocation in Network Function Virtualization”, IEEE Transactions on Parallel and Distributed Systems, vol. 32, no. 2, pp. 295-314, 2021 (CCF A)
• [TMC] S. Yang*, F. Li, Z. Zhou, X. Chen, Y. Wang and X. Fu, “Online Control of Service Function Chainings Across Geo-Distributed Datacenters”, IEEE Transactions on Mobile Computing, to appear, 2021 (CCF A)
• [TMC] S. Yang*, F. Li, S. Trajanovski, X. Chen, Y. Wang and X. Fu, “Delay-Aware Virtual Network Function Placement and Routing in Edge Clouds”, IEEE Transactions on Mobile Computing, vol. 20, no. 2, 2021 (CCF A)
• [IoT-J] S. Yang*, N. He, F. Li, S. Trajanovski, X. Chen, Y. Wang and X. Fu, “Survivable Task Allocation in Cloud Radio Access Networks with Mobile Edge Computing," IEEE Internet of Things Journal, vol. 8, no.2, 2021
• [NETWORK] N. He, S. Yang*, F. Li and X. Chen, “Intimacy-based Resource Allocation for Network Slicing in 5G via Deep Reinforcement Learning”, IEEE Network, Nov./Dec. 2021
• [TNSE] Y. Li, F. Li*, S. Yang, P. Zhou, L. Zhu and Y. Wang, "Three-Stage Stackelberg Long-Term Incentive Mechanism and Monetization for Mobile Crowdsensing: An Online Learning Approach," in IEEE Transactions on Network Science and Engineering, vol. 8, no. 2, pp. 1385-1398, 2021
• [JNCA] S. Yang*, F. Li, S. Trajanovski, X. Fu, “Traffic routing in stochastic network function virtualization networks”, Journal of Network and Computer Applications, Volume 169, 2020
• [INFORM SCIENCES] Z. Wei., S. Yang*, Y. Xie, F. Li and B. Zhao, SVSV: Online handwritten signature verification based on sound and vibration. Information Sciences, 572, pp.109-125, 2020
• [IoT-J] S. Yang*, F. Li, M. Shen, X. Chen, X. Fu and Y. Wang, “Cloudlet Placement and Task Allocation in Mobile Edge Computing”, IEEE Internet of Things Journal, vol. 6, no. 3, 2019
• [TPDS] S. Yang*, P. Wieder, R. Yahyapour, S. Trajanovski and X. Fu, “Reliable Virtual Machine Placement and Routing in Clouds, IEEE Transactions on Parallel and Distributed Systems ”, vol. 28, no. 10, pp.2965-2978, 2017 (CCF A)
• [COMPUTER NETWORKS] S. Yang*, P. Wieder, R. Yahyapour and X. Fu, “Energy-Aware Provisioning in Optical Cloud Networks, Elsevier Journal of Computer Networks”, Vol. 118, pp. 78-95, 2017 (CCF B)

[Research monographs]

• Y. Li, F. Li, S. Yang and C. Zhang, “Incentive Mechanism for Mobile Crowdsensing: A Game-theoretic Approach”, Springer, ISBN: 978-981-99-6920-3, January 2024.
• S. Yang, N. He, F. Li and X. Fu, “Resource Allocation in Network Function Virtualization: Problems, Models and Algorithms”, Springer, ISBN: ISBN 978-981-19-4814-5, September 2022.
• S. Yang, “Routing in Optical and Stochastic Networks”, Delft University of Technology, ISBN 978-94-6186-451-2, June 2015

Service

Editor Boards

• Elsevier Computer Netowrks: 2023~
• Elsevier Computer Communications: 2023~

Programme Committee Member/Co-chair

• International Workshop on Impact of IT/OT Convergence on the Resilience of Critical Infrastructures (IOCRCI) 2024, TPC Co-Chairs
• ACM MM 2024, Area Chair
• BIGCOM 2024, Track Chair
• IEEE ICDCS 2024
• ACM/IEEE IWQoS 2024
• COCOON 2024
• IEEE INFOCOM 2024
• IEEE MASS 2023
• IEEE IPCCC 2019, 2020, 2021, 2022, 2023
• IEEE/IFIP Networking 2020, 2021

Service Awards

• Outstanding Service Award of ACM Turing Conference in China, 2019.
• Outstanding Service Award of ACM Turing Conference in China, 2021.

Song Yang also served as a reviewer of many international journals, such as IEEE/ACM Transactions On Networking (TON), IEEE Transactions on Mobile Computing (IEEE TMC), IEEE Transactions on Computers, IEEE Transactions on Wireless Communication, IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), IEEE Transactions on Networks and Service Management, etc. He serves as a member of ACM and a senior member of IEEE and CCF.

Teaching

• Undergraduate Courses
• Internet of Things Communication Technology
• Software Testing and Quality Assurance
• Computer Network

• Postgraduate Courses
• Algorithm and Algorithm Complexity Theory (English)

Teaching Awards

• Excellent Instructor Award of the Fifth National University Internet of Things Application Innovation Competition, 2018

Research Funds

• National Key Research and Development Program of China, Secure Distributed Crowdsourcing Technology for Industrial Production Control Software (Sub-topic Leader), 2023.12-2026.11, On-going
• BJNSF General Program, Research on Optimal Allocation and Scheduling of Video Stream Analysis Resources under edge computing, 2023.1-2025.12, On-going
• NSFC General Program, Research on Optimal Deployment and Scheduling of Video Resources for edge computing, 2022.1-2025.12, On-going
• NSFC Youth Foundation, Research on resource optimization and scheduling under network function virtualization environment, 2019.1-2021.12, Completed
• Intelligent private cloud platform based on software definition, 2020.7-2021.6, Completed
• Academic Initiation Plan for Young Teachers of Beijing Institute of Technology, 2018.1-2020.12, Completed

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