Name: Yang Song
Discipline: Computer Science and Technology
Title: Associate Professor
Contact number:
E-mail: S.Yang@bit.edu.cn
Address: Beijing Institute of Technology Center Teaching Building, No.5 Zhongguancun South Street, Haidian District, Beijing Personal Information
Yang Song, male, Doctor, Associate Professor, Special researcher, doctoral supervisor. He received his Bachelor of Engineering in Software Engineering and Master of Engineering in Computer Application Technology from Dalian University of Technology in 2008 and 2010 respectively. Professor Chen Zhikui received his PhD from Delft University of Technology, The Netherlands in June 2015 (Supervisor: Prof. Piet Van Mieghem, Prof. Fernando A. Kuipers). From August 2015 to July 2017, he worked as a postdoctoral researcher at the Data Research and Development Computing Center (GWDG) of the University of Gottingen, Germany (Marie Curie Fellowship, co-supervisor: Prof. Ramin Yahyapour, Prof. Xiaoming Fu). Since December 2017, he has served as pre-appointed Associate Professor, Permanent Associate Professor and Special Researcher of School of Computer Science, Beijing Institute of Technology. In recent years, he has published more than 60 papers in internationally renowned journals and conferences, including more than 20 CCF class A papers and more than 10 papers in the first district of the Chinese Academy of Sciences, and published 2 English monographs and 1 Chinese textbook, and more than 1,000 Google academic citations. He has presided over more than 10 projects of the National Key Research and development Program, the National Natural Science Foundation and the Beijing Natural Science Foundation.

Research Direction
Cloud computing and edge computing: Build a small edge cloud system model at the system level, and on this basis realize edge device detection and identification, task distribution and unloading, video stream optimization transmission and intelligent analysis, serverless computing and other applications, and optimize the performance level (such as delay, load, etc.) and develop the system framework platform. At the theoretical level, combinatorial optimization theory, deep reinforcement learning and other algorithms are applied to optimize resource scheduling and allocation.
Network function virtualization, software defined network, quantum network and other new network architectures: This paper studies how to realize the resource distribution and application request system and platform based on the network function virtualization of software-defined network, studies and realizes the optimized routing algorithm, resource automatic control strategy, fault recovery and detection mechanism, and studies how to realize the integration of multi-protocol and communication technology under the framework of next-generation network.
Development and application of artificial intelligence algorithms and Internet of Things: Research includes optimization and improvement of algorithms such as deep reinforcement learning and graph neural networks, and development of iot related application systems based on artificial intelligence algorithms, such as intelligent transportation.

Personal Information
Yang Song, male, Doctor, Associate Professor, Special researcher, doctoral supervisor. He received his Bachelor of Engineering in Software Engineering and Master of Engineering in Computer Application Technology from Dalian University of Technology in 2008 and 2010 respectively. Professor Chen Zhikui received his PhD from Delft University of Technology, The Netherlands in June 2015 (Supervisor: Prof. Piet Van Mieghem, Prof. Fernando A. Kuipers). From August 2015 to July 2017, he worked as a postdoctoral researcher at the Data Research and Development Computing Center (GWDG) of the University of Gottingen, Germany (Marie Curie Fellowship, co-supervisor: Prof. Ramin Yahyapour, Prof. Xiaoming Fu). Since December 2017, he has served as pre-appointed Associate Professor, Permanent Associate Professor and Special Researcher of School of Computer Science, Beijing Institute of Technology. In recent years, he has published more than 60 papers in internationally renowned journals and conferences, including more than 20 CCF class A papers and more than 10 papers in the first district of the Chinese Academy of Sciences, and published 2 English monographs and 1 Chinese textbook, and more than 1,000 Google academic citations. He has presided over more than 10 projects of the National Key Research and development Program, the National Natural Science Foundation and the Beijing Natural Science Foundation.

Personal Information
Yang Song, male, Doctor, Associate Professor, Special researcher, doctoral supervisor. He received his Bachelor of Engineering in Software Engineering and Master of Engineering in Computer Application Technology from Dalian University of Technology in 2008 and 2010 respectively. Professor Chen Zhikui received his PhD from Delft University of Technology, The Netherlands in June 2015 (Supervisor: Prof. Piet Van Mieghem, Prof. Fernando A. Kuipers). From August 2015 to July 2017, he worked as a postdoctoral researcher at the Data Research and Development Computing Center (GWDG) of the University of Gottingen, Germany (Marie Curie Fellowship, co-supervisor: Prof. Ramin Yahyapour, Prof. Xiaoming Fu). Since December 2017, he has served as pre-appointed Associate Professor, Permanent Associate Professor and Special Researcher of School of Computer Science, Beijing Institute of Technology. In recent years, he has published more than 60 papers in internationally renowned journals and conferences, including more than 20 CCF class A papers and more than 10 papers in the first district of the Chinese Academy of Sciences, and published 2 English monographs and 1 Chinese textbook, and more than 1,000 Google academic citations. He has presided over more than 10 projects of the National Key Research and development Program, the National Natural Science Foundation and the Beijing Natural Science Foundation.

代表性学术成果
教学/科研专著：
1. 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.
2. S. Yang, N. He, F. Li and X. Fu, “Resource Allocation in Network Function Virtualization: Problems, Models and Algorithms”, Springer, ISBN: 978-981-19-4814-5, September 2022.
3. S. Yang, “Routing in Optical and Stochastic Networks”, Delft University of Technology, ISBN: 978-94-6186-451-2, June 2015
4. 杨松，李凡，祝烈煌，网络优化算法设计与应用，北京理工大学出版社，ISBN：978-7-5763-2719-9，2023年8月

论文（*代表通讯作者）：
1. 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类推荐期刊)
2. Y. Cao, F. Li*, H. Chen, X. Liu, S. Zhai, S. Yang and Y. Wang, “Live Speech Recognition via Earphone Motion Sensors”, IEEE Transactions on Mobile Computing, 2024 (CCF A类推荐期刊)
3. 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类推荐会议)
4. 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类推荐会议)
5. 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类推荐会议)
6. 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, IEEE Transactions on Parallel and Distributed Systems, vol. 34, no. 4, pp. 1186-1201, April 2023 (CCF A类推荐期刊)
7. 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类推荐期刊)
8. 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 （中科院一区）
9. Y. Gao, S. Yang*, F. Li, and X. Fu, “Adaptive and Efficient Qubit Allocation Using Reinforcement Learning in Quantum Networks”, IEEE Networks, September 2022（中科院一区）
10. S. Yang*, L. Jiao, R. Yahyapour and J. Cao, “Online Orchestration of Collaborative Caching for Multi-Bitrate Videos in Edge Computing”, in IEEE Transactions on Parallel and Distributed Systems, 2022 (CCF A类推荐期刊)
11. 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类推荐期刊，ESI高被引论文）
12. 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类推荐期刊)
13. 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类推荐期刊)
14. 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类推荐期刊)
15. 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类推荐期刊)
16. 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," in IEEE Internet of Things Journal, vol. 8, no.2, 2021（中科院一区）
17. 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. （中科院一区）
18. 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 (IWQOS), 2021. (CCFＢ类推荐会议)
19. 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（中科院一区）
20. 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类推荐会议)
21. 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 （中科院一区）
22. 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（中科院一区）
23. 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类推荐会议)
24. 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类推荐会议)
25. 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 （中科院一区）
26. Y. Xie, F. Li*, Y. Wu, S. Yang, and Y. Wang, “D3-Guard: Acoustic-based Drowsy Driving Detection Using Smartphones”, in Proceedings of IEEE 38th Conference on Computer Communications (INFOCOM 2019), Paris, France, April 2019. (CCF A类推荐会议)
27. 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类推荐期刊)
28. S. Yang*, P. Wieder, M. Aziz, R. Yahyapour and X. Fu, “Latency-Sensitive Data Allocation for Cloud Storage”, 15th IFIP/IEEE Integrated Network Management (IM), 2017. (CCF C类推荐会议)
所获奖励
2015年玛丽居里博士后奖学金
2019年，2021年ACM中国图灵大会杰出服务奖