Shangguang Wang

Shangguang Wang

Professor at the School of Computer Science, Beijing University of Posts and Telecommunications

Journal Paper

  1. Z. Shen, J. Jin, C. Tan, A. Tagami, S. Wang, Q. Li, Q. Zheng, and J. Yuan, “A Survey of Next-generation Computing Technologies in Space-air-ground Integrated Networks,” ACM Computing Surveys, vol. 56, no. 1, pp.1-40, 2024.
  2. Qing Li, Shangguang Wang*, Xiao Ma, Ao Zhou, Yue Wang, Xuanzhe Liu, Gang Huang, Battery-Aware Energy Optimization for Satellite Edge Computing, IEEE Transactions on Services Computing, 2024, https://ieeexplore.ieee.org/document/10415570
  3. Chen Yang, Jinliang Yuan, Yaozong Wu, Qibo Sun, Ao Zhou, Shangguang Wang, Mengwei Xu, Communication-Efficient Satellite-Ground Federated Learning through Progressive Weight Quantization, IEEE Transactions on Mobile Computing, 2024, https://ieeexplore.ieee.org/document/10415259
  4. Zichuan Xu, Guangyuan Xu, Hao Wang, Weifa Liang, Qiufen Xia, Shangguang Wang, Enabling Streaming Analytics in Satellite Edge Computing via Timely Evaluation of Big Data Queries, IEEE Transactions on Parallel and Distributed Systems, 2024,35(1): 105-122.
  5. Yang Yang, Lei Feng, Yao Sun, Yangyang Li, Fanqin Zhou, Wenjing Li, Shangguang Wang, Decentralized Cooperative Caching and Offloading for Virtual Reality Task Based on GAN-Powered Multi-Agent Reinforcement Learning, IEEE Transactions on Services Computing, 2024,17(1): 291-305
  6. Yi Zhang, Peiying Zhang, Chunxiao Jiang, Shangguang Wang, Hongxia Zhang, Chunming Rong, QoS Aware Virtual Network Embedding in Space-Air-Ground-Ocean Integrated Network, IEEE Transactions on Services Computing, 2024, https://ieeexplore.ieee.org/document/10414013
  7. Kai Peng, Peiyun Xiaom, Shangguang Wang, Victor C. M. Leung, AoI-Aware Partial Computation Offloading in IIoT With Edge Computing: A Deep Reinforcement Learning Based Approach, IEEE Transactions on Cloud Computing, 2023,11(4):3766-3777.
  8. Xiaobin Xu, Qi Wang, Yanzhao Hou, Shangguang Wang, AI-SPACE: A Cloud-Edge Aggregated Artificial Intelligent Architecture for Tiansuan Constellation-Assisted Space-Terrestrial Integrated Networks, IEEE Network, 2023, 37(2): 22-28.
  9. Junna Zhang, Guoxian Zhang, Xiang Bao, Chuntao Ding, Peiyan Yuan, Xinglin Zhang, Shangguang Wang, Dependent Application Offloading in Edge Computing, IEEE Transactions on Cloud Computing, 2023,11(4): 3439-3451.
  10. Qiyang Zhang, Xiangying Che, Yijie Chen, Xiao Ma, Mengwei Xu, Schahram Dustdar, Xuanzhe Liu, Shangguang Wang, A Comprehensive Deep Learning Library Benchmark and Optimal Library Selection, IEEE Transactions on Mobile Computing, 2023, https://ieeexplore.ieee.org/document/10209228
  11. Yuanzhe Li, Shangguang Wang, Yuanchun Li, Ao Zhou, Mengwei Xu, Xiao Ma, Yunxin Liu, Seamless Cross-Edge Service Migration for Real-Time Rendering Applications, IEEE Transactions on Mobile Computing, 2023, ttps://ieeexplore.ieee.org/document/10314778
  12. Lijun Sun, Mingzhi Liu, Jiachen Guo, Xu Yu, Shangguang Wang, Deep Reinforcement Learning Empowered Resource Allocation in Vehicular Fog Computing, IEEE Transactions on Vehicular Technology, 2023, https://ieeexplore.ieee.org/document/10339872
  13. S. Wang, Q. Li, Satellite Computing: Vision and Challenges, IEEE Internet of Things Journal, 2023, https://ieeexplore.ieee.org/document/10213423 [PDF]
  14. Shangguang Wang, Yan Guo, Xiao Liu, Ao Zhou, Service Routing in Multi-tier Edge Computing: A Matching Game Approach, IEEE Journal on Selected Areas in Communications, 2022, https://ieeexplore.ieee.org/document/9996397/
  15. Jinliang Yuan, Mengwei Xu, Yuxin Zhao, Kaigui Bian, Gang Huang, Xuanzhe Liu, Shangguang Wang, Resource-Aware Federated Neural Architecture Search over Heterogeneous Mobile Devices, IEEE Transactions on Big Data, 2022, https://ieeexplore.ieee.org/document/9973344
  16. Ao Zhou, Xiao Ma, Siyi Gao, Shangguang Wang, Providing Reliable Service for Parked-vehicle-assisted Mobile Edge Computing, ACM Transactions on Internet Technology,2022,22(4), pp.1-14.
  17. Zhichao Lu, Chuntao Ding, Juefei-Xu Felix, Vishnu Naresh Boddeti, Shangguang Wang, Yun Yang, TFormer: A Transmission-Friendly ViT Model for IoT Devices, IEEE Transactions on Parallel and Distributed Systems, 2022, https://ieeexplore.ieee.org/document/9954278
  18. Ruolin Xing, Xiao Ma, Ao Zhou, Schahram Dustdar, Shangguang Wang, From Earth to Space: A First Deployment of 5G Core Network on Satellite, China Communications, 2022, https://arxiv.org/abs/2210.05405
  19. C. Ding, Y. Li, Z. Lu, S. Wang and S. Guo, A Resource-Efficient Feature Extraction Framework for Image Processing in IoT Devices, IEEE Transactions on Mobile Computing, 2022, https://ieeexplore.ieee.org/document/9933707
  20. Ao Zhou, Sisi Li, Xiao Ma, Shangguang Wang*, Service-Oriented Resource Allocation for Blockchain-Empowered Mobile Edge Computing, IEEE Journal on Selected Areas in Communications, 2022, https://ieeexplore.ieee.org/document/9915530
  21. Haojiang Liu, Yuanzhe Li, Shangguang Wang, Request Scheduling Combined with Load Balancing in Mobile Edge Computing, IEEE Internet of Things Journal, 2022, https://ieeexplore.ieee.org/document/9779350, [Edge Computing Dateset] [Sourecode]
  22. Qing Li, Xiao Ma, Ao Zhou, Changhee Joo, Shangguang Wang*, Online Service Request Duplicating for Vehicular Applications, IEEE Transactions on Mobile Computing, 2022, https://ieeexplore.ieee.org/document/9705147 [PDF] [Sourcecode]
  23. Ying Wang, Naling Li, Peng Yu, Wenjing Li, Xuesong Qiu, Shangguang Wang, Mohamed Cheriet, Intelligent and Collaborative Orchestration of Network Slices, IEEE Transactions on Services Computing, 2022, https://ieeexplore.ieee.org/document/9793722
  24. Ao Zhou, Xiao Ma, Siyi Gao, Shangguang Wang, Providing Reliable Service for Parked Vehicle Assisted Mobile Edge Computing, ACM Transactions on Internet Technology, 2022, https://doi.org/10.1145/3514242
  25. Qing Li, Xiao Ma, Ao Zhou, Xiapu Luo, Fangchun Yang, Shangguang Wang, User-Oriented Edge Node Grouping in Mobile Edge Computing, IEEE Transactions on Mobile Computing, 2021, https://ieeexplore.ieee.org/document/9667295[PDF] [Sourcecode]
  26. Chao Wang, Lei Liu, Chunxiao Jiang, Shangguang Wang, Peiying Zhang, Shigen Shen, Incorporating Distributed DRL into Storage Resource Optimization of Space-Air-Ground Integrated Wireless Communication Network, IEEE Journal of Selected Topics in Signal Processing, 2021, https://ieeexplore.ieee.org/document/9653840.
  27. Jie Huang, Ao Zhou, Shangguang Wang, Price-aware Service Deployment in Hierarchical Mobile Edge Computing, IEEE Internet of Things Journal, 2021, https://ieeexplore.ieee.org/document/9626145[PDF] [Sourcecode]
  28. Ran Zhang, Jiang Liu, Fangqi Liu, Tao Huang, Qinqin Tang, Shangguang Wang, F. Richard Yu, Buffer-Aware Virtual Reality Video Streaming with Personalized and Private Viewport Prediction, IEEE Journal on Selected Areas in Communications, 2021, https://ieeexplore.ieee.org/document/9567690 [PDF]
  29. Xiao Ma, Ao Zhou, Shan Zhang, Qing Li, Alex X. Liu, Shangguang Wang*, Dynamic Task Scheduling in Cloud-Assisted Mobile Edge Computing, IEEE Transactions on Mobile Computing, 2021, https://ieeexplore.ieee.org/document/9547734. [PDF]
  30. Chuntao Ding , Ao Zhou , Xiao Ma , Ning Zhang, Ching-Hsien Hsu ,Shangguang Wang*, Towards Diversified IoT Image Recognition Services in Mobile Edge Computing, IEEE Transactions on Cloud Computing, 2021, https://ieeexplore.ieee.org/document/9528942 [PDF]
  31. Raza Salman, Wang Shangguang*, Manzoor, Ahmed Anwar, Muhammad Rizwan, Mirza, Muhammad Ayzed, Khan Wali Ullah, Task Offloading and Resource Allocation for IoV using 5G NR-V2X Communication, IEEE Internet of Things Journal, https://ieeexplore.ieee.org/document/9583590, 2021 [PDF]
  32. Y. Guo, Q. Li, Y. Li, N. Zhang, S. Wang*, Service Coordination in Space-Air-Ground Integrated Network, IEEE Network，https://ieeexplore.ieee.org/document/9606832, 2021. [PDF]
  33. Xiaobin Xu, Hui Zhao, Chang Liu, Qi Wang, Shangguang Wang, Resource management of GEO relays for real-time remote sensing,Peer-to-Peer Networking and Applications, 14(5): 3333-3348，2021.
  34. Yuanzhe Li, Xiao Ma, Mengwei Xu, Ao Zhou, Qibo Sun, Ning Zhang, Shangguang Wang, Joint Placement of UPF and Edge Server for 6G Network, IEEE Internet of Things Journal, 2021, https://ieeexplore.ieee.org/document/9475439 [PDF]
  35. Qibo Sun, Jinliang Xu, Xiao Ma, Ao Zhou, Ching-Hsien Hsu, Shangguang Wang, Edge-Enabled Distributed Deep Learning for 5G Privacy Protection, IEEE Network, https://ieeexplore.ieee.org/abstract/document/9474931 [PDF]
  36. Qing Li, Shangguang Wang, Xiao Ma, Qibo Sun, Houpeng Wang, Suzhi Cao, Fangchun Yang, Service Coverage for Satellite Edge Computing, IEEE Internet of Things Journal, 2021, https://ieeexplore.ieee.org/document/9444334 [PDF] [Sourcecode]
  37. Yuanzhe Li, Ao Zhou, Xiao Ma, Shangguang Wang, Profit-aware Edge Server Placement, IEEE Internet of Things Journal, 2021, https://ieeexplore.ieee.org/document/9442389 [PDF] [Sourcecode]
  38. Jialei Liu, Chunhong Liu, Bo Wang, Guowei Gao, Shangguang Wang*, Optimized Task Allocation for IoT Application in Mobile Edge Computing, IEEE Internet of Things Journal, 2021, https://ieeexplore.ieee.org/document/9462411 [PDF]
  39. Muhammad Rizwan Anwar, Shangguang Wang*, Muhammad Faisal Akram, Salman Raza, Shahid Mahmood, 5G Enabled MEC: A Distributed Traffic Steering for Seamless Service Migration of Internet of Vehicles, IEEE Internet of Things Journal, 2021, https://ieeexplore.ieee.org/document/9444339 [PDF]
  40. Xiao Ma, Ao Zhou, Qibo Sun, Shangguang Wang, Freshness-aware Information Update and Computation Offloading in Mobile Edge Computing, IEEE Internet of Things Journal, 2021, https://ieeexplore.ieee.org/document/9437303 [PDF].
  41. Y. Li, J. Huang, Q. Sun, T. Sun, S.Wang*, Cognitive Service Architecture for 6G Core Network, IEEE Transactions on Industrial Informatics, 2021,https://ieeexplore.ieee.org/document/9369127 [PDF].
  42. X. Liu, S. Wang, Y. Ma, Y. Zhang, Q. Mei, Y. Liu, G. Huang, Operating Systems for Resource-adaptive Intelligent Software: Challenges and Opportunities. ACM Transactions on Internet Technoloy, 21(2):1-19, 2021.
  43. C.Ding, A. Zhou, L. Liu, X. Ma, S. Wang, Resource-aware Feature Extraction in Mobile Edge Computing, IEEE Transactions on Mobile Computing, 2020, https://ieeexplore.ieee.org/document/9134931 [PDF].
  44. Meng Wang, Bo Cheng, Shangguang Wang, Junliang Chen, Availability- and Traffic-aware Placement of Parallelized SFC in Data Center Networks, IEEE Transactions on Network and Service Management, 2020, https://ieeexplore.ieee.org/document/9327494
  45. Xiaobin Xu, Hui Zhao, Haipeng Yao, Shangguang Wang. A Blockchain-enabled Energy Efficient Data Collection System for UAV-assisted IoT. IEEE Internet of Things Journa, 8(4): 2431-2443, 2021.
  46. Q. Li, S. Wang*, A. Zhou, X. Ma, A. Liu, F.Yang, QoS Driven Task Offloading with Statistical Guarantee in Mobile Edge Computing, IEEE Transactions on Mobile Computing, 2020, https://ieeexplore.ieee.org/document/9123603 [PDF]
  47. Wen Zhang, Longzhuang Li, Ning Zhang, Tao Han, Shangguang Wang, Air-Ground Integrated Mobile Edge Networks: A Survey, IEEE Access, 2020, https://ieeexplore.ieee.org/document/9137644/
  48. Liang Tian, Mingzhe Yang, Shangguang Wang, An Overview of Compute First Networking, International Journal of Web and Grid Services, 2020, https://www.inderscience.com/info/ingeneral/forthcoming.php?jcode=ijwgs, [PDF].
  49. Jinliang Xu, Xiao Ma, Ao Zhou, Qiang Duan, Shangguang Wang, Path Selection for Seamless Service Migration in Vehicular Edge Computing, IEEE Internet of Things Journal, 2020, https://ieeexplore.ieee.org/document/9109315. [PDF] [Sourcecode].
  50. Chuntao Ding, Ao Zhou, Yunxin Liu, Rong N. Chang, Ching-Hsien Hsu, Shangguang Wang*, A Cloud-Edge Collaboration Framework for Cognitive Service, IEEE Transactions on Cloud Computing, 2020, https://ieeexplore.ieee.org/abstract/document/9099432 [PDF]
  51. Xuan Liu, Bo Cheng, Shangguang Wang, Junliang Chen, Joint Availability Enhancement and Traffic Optimization of Virtual Cluster Allocation in Cloud Datacenters, IEEE Transactions on Network and Service Management, 2020, Vol.17, No.2, pp.972-985.
  52. J. Xu，S. Wang*，A. Zhou，F. Yang，Edgence: A Blockchain-enabled Edge-computing Platform for Intelligent IoT-based dApps, China Communications, 2020, no.4, 1-9.[PDF]
  53. Qiang Duan, Shangguang Wang, Nirwan Ansari, Convergence of Networking and Cloud/Edge Computing: Status, Challenges, and Opportunities, IEEE Network, 2020，https://ieeexplore.ieee.org/document/9108989
  54. H. Wang, Y. Li, A. Zhou, Y. Guo and S. Wang, Service Migration in Mobile Edge Computing: A Deep Reinforcement Learning Approach, International Journal of Communication Systems, 2020, https://onlinelibrary.wiley.com/doi/full/10.1002/dac.4413?af=R.
  55. Yujiong Liu, Shangguang Wang*, Qinglin Zhao, Shiyu Du, Ao Zhou, Xiao Ma, Fangchun Yang, Dependency-Aware Task Scheduling in Vehicular Edge Computing. IEEE Internet of Things Journal, https://ieeexplore.ieee.org/document/8985313/, 2020, [PDF]
  56. X. Liu, B. Cheng, S. Wang, Availability-aware and Energy-efficient Virtual Cluster Allocation Based on Multi-objective Optimization in Cloud Datacenters, IEEE Transactions on Network and Service Management, 2020, https://ieeexplore.ieee.org/document/9006914/
  57. J. Liu, S. Wang*, A. Zhou, J. Xu, and F. Yang, “SLA-driven container consolidation with usage prediction for green cloud computing,” Frontiers of Computer Science, 1, vol. 14, pp. 42-52, 2020.
  58. A. Zhou, S. G. Wang, S. H. Wan, and L. Y. Qi, “LMM: latency-aware micro-service mashup in mobile edge computing environment,” Neural Computing & Applications.https://link.springer.com/article/10.1007/s00521-019-04693-w . 2020
  59. S. Wang, A. Zhou, M. Yang, L. Sun, C. Hsu, F. Yang. Service Composition in Cyber-Physical-Social Systems. IEEE Transactions on Emerging Topics in Computing, Vol. 8, No.1, pp. 82-91, 2020.[PDF] [Sourcecode]
  60. Ao Zhou, Shangguang Wang*, Xiao Ma, Stephen S. Yau, Towards Service Composition Aware Virtual Machine Migration Approach in the Cloud, IEEE Transactions on Services Computing, https://ieeexplore.ieee.org/document/8941254/, 2019.
  61. Jialei Liu, Shangguang Wang*, Ao Zhou, Fangchun Yang, Rajkumar Buyya. Availability-aware Virtual Cluster Allocation in Bandwidth-Constrained Datacenters. IEEE Transactions on Services Computing, 2020, Vol.13, No.3, pp.425-436.[PDF] [Sourcecode]
  62. Shangguang Wang, Yan Guo, Ning Zhang, Peng Yang, Ao Zhou, and Xuemin (Sherman) Shen, Delay-aware Microservice Coordination in Mobile Edge Computing: A Reinforcement Learning Approach, IEEE Transactions on Mobile Computing, https://ieeexplore.ieee.org/document/8924682, 2019[PDF] [Dataset]
  63. Lanlan Rui, Xushan Chen, Xiaomei Wang, Zhipeng Gao, Xuesong Qiu, Shangguang Wang, Multiservice Reliability Evaluation Algorithm Considering Network Congestion and Regional Failure Based on Petri Net, IEEE Transactions on Services Computing, 2019, https://ieeexplore.ieee.org/document/8911264/.
  64. S. Wang, C. Ding, N. Zhang, X. Liu, A. Zhou, J. Cao, and X. Shen, A Cloud-guided Feature Extraction Approach for Image Retrieval in Mobile Edge Computing, IEEE Transactions on Mobile Computing, https://ieeexplore.ieee.org/document/8851250, 2019[PDF] [MEC Experiment System] [Sourcecode].
  65. X. Liu, X. Xie, S. Wang, J. Liu, D. Yaou, J. Cao, K. Li, Efficient Range Queries for Large-scale Sensor-augmented RFID Systems, ACM/IEEE Transactions on Networking, no.5, vol. 27, pp. 1873-1886, 2019.
  66. Binbin Huang, Zhongjin Li, Peng Tang, Shangguang Wang, Jun Zhao, Haiyang Hu, Wanqing Li, Victor I. Chang，Security modeling and efficient computation offloading for service workflow in mobile edge computing. Future Generation Comper System, vol. 97, pp. 755-774, 2019.
  67. Xiaocui Li, Zhangbing Zhou, Junqi Guo, Shangguang Wang, Junsheng Zhang, Aggregated multi-attribute query processing in edge computing for industrial IoT applications. Computer Networks, vol.151, pp. 114-123, 2019.
  68. Bo Wei, Hang Song, Shangguang Wang, Kenji Kanai, Jiro Katto, Evaluation of Throughput Prediction for Adaptive Bitrate Control Using Trace-Based Emulation. IEEE Access 7: 51346-51356, 2019.
  69. Ming Chen, Yuhua Li, Zhifeng Zhang, Ching-Hsien Hsu, Shangguang Wang, Erratum to: Real-time, large-scale duplicate image detection method based on multi-feature fusion. Journal of Real-Time Image Processing, 16(5): 1881, 2019.
  70. X. Ma, S. Wang, S. Zhang, P. Yang, C. Lin, X. Shen, Cost-Efficient Resource Provisioning for Dynamic Requests in Cloud Assisted Mobile Edge Computing, IEEE Transactions on Cloud Computing, https://ieeexplore.ieee.org/document/8254704, 2019.
  71. J. Xu, S. Wang*, B. K. Bharat, F. Yang, A Blockchain-enabled Trustless Crowd-Intelligence Ecosystem on Mobile Edge Computing, IEEE Transactions on Industrial Informatics, vol.15, no.6, pp. 3538-3547, 2019. [PDF]
  72. Yan Guo, Shangguang Wang*, Ao Zhou, Jinliang Xu, Jie Yuan, Ching-Hsien Hus, User Allocation-aware Edge Cloud Placement in Mobile Edge Computing, Software: Practice and Experienc, vol. 50, no. 5, pp. 489-502, 2020. [PDF] [Sourcecode]

  73. Jinliang Xu, Shangguang Wang*, Ning Zhang, Fangchun Yang, Xuemin Shen, Reward or Penalty: Aligning Incentives of Stakeholders in Crowdsourcing, IEEE Transactions on Mobile Computing, vol. 18, no.4, pp. 974-985, 2019[PDF] [Sourcecode]

  74. Shangguang Wang, Yali Zhao, Jinlinag Xu, Jie Yuan, Ching-Hsien Hsu, Edge Server Placement in Mobile Edge Computing, Journal of Parallel and Distributed Computing, vol, 127, pp. 160-168, 2019. [PDF]
  75. C. Ding and S. Wang*, Appropriate points choosing for subspace learning over image classification, The Journal of Supercomputing, vol. 75, no. 2, pp 688–703, 2019.[Sourcecode]
  76. Shangguang Wang,You Ma, Bo Cheng, Fangchun Yang, Rong N. Chang. Multi-Dimensional QoS Prediction for Service Recommendations.IEEE Transactions on Services Computing, 2019, 12(1):47-57.[PDF] [dataset]
  77. Salman Raza, Shangguang Wang*, Manzoor Ahmed, and Muhammad Rizwan Anwar. A Survey on Vehicular Edge Computing: Architecture, Applications, Technical Issues, and Future Directions. Wireless Communications and Mobile Computing, vol. 2019, Article ID 3159762, 19 pages, 2019. https://doi.org/10.1155/2019/3159762
  78. Chuntao Ding，Shangguang Wang*. Appropriate Points Choosing for Subspace Learning over Image Classification. Journal of Supercomputing, 75(2): 688-703, 2019. [PDF]
  79. Shangguang Wang, Yali Zhao, Lin Huang, Jinliang Xu, Ching-Hsien Hsu. QoS Prediction for Service Recommendations in Mobile Edge Computing, Journal of Parallel and Distributed Computing,vol. 127, pp.134-144, 2019.[PDF]
  80. Ding CT, Zhou A, Huang J, Liu Y, Wang SG. ECDU: an edge content delivery and update framework in Mobile edge computing. Eurasip Journal on Wireless Communications and Networking,2019,2019(1).
  81. B. B. Huang, Y. Y. Li, Z. J. Li, L. X. Pan, S. G. Wang, Y. Q. Xu, and H. Y. Hu, “Security and Cost-Aware Computation Offloading via Deep Reinforcement Learning in Mobile Edge Computing,” Wireless Communications & Mobile Computing, vol. 2019, Dec 2019.
  82. Shangguang Wang*, Ao Zhou, Ruo Bao, Chou Wu, Stephen S. Yau, Towards Green Service Composition Approach in the Cloud, IEEE Transactions on Services Computing, 2018, https://ieeexplore.ieee.org/document/8453852/ [PDF]
  83. Jialei Liu, Shangguang Wang*, Ao Zhou, Sathish A.P Kumar, Fangchun Yang, and Rajkumar Buyya. Using Proactive Fault-Tolerance Approach to Enhance Cloud Service Reliability. IEEE Transactions on Cloud Computing, vol.6, no.4, pp.1191-1202, 2018 [PDF] [Sourcecode]
  84. Shangguang Wang，Yan Guo，YanLi ，Ching-Hsien Hsu, Cultural distance for service composition in cyber–physical–social systems, Future Generation Computer Systems, https://www.sciencedirect.com/science/article/pii/S0167739X17310816
  85. Shangguang Wang, Yan Guo, Yan Li, Ching-Hsien Hsu. Cultural Distance for Service Composition in Cyber-Physical-Social Systems, Future Generation Computer Systems, 2018, https://www.sciencedirect.com/science/article/pii/S0167739X17310816. [PDF]
  86. S. Wang, J. Xu, N. Zhang, Y. Liu, A Survey on Service Migration in Mobile Edge Computing, IEEE Access, no.6, pp. 23511-3528, 2018[PDF] [Demo]
  87. Mingzhe Yang, Shangguang Wang, Rodrigo N. Calheiros, Fangchun Yang, Survey on QoE Assessment Approach for Network Service. IEEE Access, no. 6, 2018, pp. 48374-48390.
  88. Shangguang Wang, Qinglin Zhao, Ning Zhang, Tao Lei, Fangchun Yang. Virtual Vehicle Coordination for Vehicles as Ambient Sensing Platforms, IEEE Access, vol. 6, no.1, pp. 11940-11952, 2018.
  89. Qiliang Zhu, Shangguang Wang*, Bo Cheng, Fangchun Yang, and Rong N.Chang. Context-aware Group Recommendation for Point-of-Interests, IEEE Access, vol. 6, no.1, pp. 12129-12144, 2018.
  90. Di Lu, Chuntao Ding, Jinliang Xu and Shangguang Wang. Hierarchical Discriminant Analysis, Sensors, 2018, 18(1), 279.
  91. Jialei Liu, Shangguang Wang*, Ao Zhou, Xiang Xu, Sathish A. P. Kumar, Fangchun Yang: Towards Bandwidth Guaranteed Virtual Cluster Reallocation in the Cloud. Computer Journal, 61(9): 1284-1295,2018.
  92. Muhammad Rizwan Anawar, Shangguang Wang*, Muhammad Azam Zia, Ahmer Khan Jadoon, Umair Akram, and Salman Raza, Fog Computing: An Overview of Big IoT Data Analytics, Wireless Communications and Mobile Computing, vol. 2018, 2018.
  93. S.Wang, C. Ding, C. Hsu, F. Yang. Dimensionality Reduction via Preserving Local Information. Future Generation Computer Systems, https://www.sciencedirect.com/science/article/pii/S0167739X17319696, 2018
  94. Ao Zhou, Shangguang Wang, Ching-Hsien Hsu, Myung Ho Kim, Kok-Seng Wong. Network Failure-aware Redundant Virtual Machine Placement in a Cloud Data Center. Concurrency and Computation: Practice and Experience, vol. 29, no.24, pp. 1-12, 2017.
  95. Guo, Y., Wang, S.*, Wong, K-S. and Kim, M.H. Skyline service selection approach based on QoS prediction, Int. J. Web and Grid Services, 13(4), 425-447, 2017. [PDF]
  96. Lingyan Zhang, Shangguang Wang*, Raymond K.Wong, Fangchun Yang, and Rong N. Chang. Cognitively Adjusting Imprecise User Preferences for Service Selection. IEEE Transactions on Network and Service Management, no.13, vol. 13, pp. 1-13. [PDF]
  97. Shangguang Wang, Lin Huang, Lei Sun, Ching-Hsien Hsu, Fangchun Yang. Efficient and Reliable Service Selection for Heterogeneous Distributed Software Systems. Future Generation Computer Systems, vol. 74, pp. 158-167, 2017.[PDF] [Sourcecode]
  98. A. Zhou, S. Wang, Q. Sun, J. Li, Q. Zhao, and F. Yang. Support for spot virtual machine purchasing simulation. Cluster Computing, pp. 1-13, 2017. https://link.springer.com/article/10.1007/s10586-017-0882-8
  99. Jinliang Xu, Shangguang Wang, Fangchun Yang, Jie Tang，Multiple User Context Inference by Fusing Data Sources，https://arxiv.org/abs/1703.04215，2017.
  100. Jinliang Xu, Shangguang Wang, Fangchun Yang, Rong N. Chang, Cognitive Inference of Demographic Data by User Ratings, https://arxiv.org/abs/1703.04216, 2017.
  101. T. Lei, S. Wang*, J. Li, and F. Yang. A cooperative route choice approach via virtual vehicle in IoV. Vehicular Communications, 9C (2017) pp. 281-287,2017. [PDF]
  102. Ao Zhou, Shangguang Wang*, Bo Cheng, Zibin Zheng, Fangchun Yang, Rong N. Chang, Michael R. Lyu, Rajkumar Buyya. Cloud Service Reliability Enhancement via Virtual Machine Placement Optimization. IEEE Transactions on Services Computing, no. 6, vol. 10, pp. 902-913, 2017. DOI: 10.1109/TSC.2016.2519898 [PDF] [Sourcecode]
  103. Fuu-Cheng Jiang, Ching-Hsien Hsu, Shangguang Wang. Logistic Support Architecture with Petri Net Design in Cloud Environment for Services and Profit Optimization. IEEE Transactions on Services Computing, no.6, vol.10, pp. 879-888, 2017. DOI: 10.1109/TSC.2016.2514506 [PDF]
  104. Ling Huang, Qinglin Zhao, Yan Li, Shangguang Wang*, Lei Sun, and Wu Chou. Reliable and Efficient Big Service Selection. Information Systems Frontiers. DOI: 10.1007/s10796-017-9767-x. http://rdcu.be/ybpe
  105. Zhou A, Wang S, Hsu C-H, Kim MH, Wong K-S. Virtual machine placement with (m, n)-fault tolerance in cloud data center. Cluster Computing, 2017. 10.1007/s10586-017-1426-y. http://rdcu.be/APn5
  106. Shangguang Wang*, Ao Zhou, Fangchun Yang, Rong Chang. Towards Network-Aware Service Composition in the Cloud. IEEE Transactions on Cloud Computing, 2016,http://dx.doi.org/10.1109/TCC.2016.2603504 [PDF] [Sourcecode]
  107. A. Zhou, S. Wang*, Z. Zheng, C. Hsu, M. Lyu, and F. Yang, On Cloud Service Reliability Enhancement with Optimal Resource Usage. IEEE Transactions on Cloud Computing, 2016, no. 4, vol. 4, pp. 452-466. DOI: 10.1109/tcc.2014.2369421. [PDF] [Sourcecode]
  108. S. Wang, A. Zhou, C. Hsu, X. Xiao, F. Yang. Provision of Data-intensive Services through Energy- and QoS-aware Virtual Machine Placement in National Cloud Data centers. IEEE Transactions on Emerging Topics in Computing, no. 2, vol. 4, pp. 290-300, 2016. DOI:10.1109/TETC.2015.2508383 [PDF] [Sourcecode]
  109. S. Wang, A. Zhou, W. Lei, Z. Yu, C.-H. Hsu, and F. Yang. Enhanced User Context-aware Reputation Measurement of Multimedia Service. ACM Transactions on Multimedia Computing, Communications and Applications, no.4s, vo. 12, pp. 1-18, 2016. [PDF]
  110. Bo Cheng, Shuai Zhao, Shangguang Wang, Junliang Chen. Lightweight Mashup Middleware for Coal Mine Safety Monitoring and Control Automation. IEEE Transactions on Automation Science and Engineering, 99, vol. PP, pp. 1-11, 2016. DOI:10.1109/TASE.2016.2518677 [PDF]
  111. Ma Y, Wang S*, Hung PCK, Hsu C-H, Sun Q, Yang F. A Highly Accurate Prediction Algorithm for Unknown Web Service QoS Value. IEEE Transactions on Services Computing, no. 4, vol. 9, pp. 511-523, 2016. DOI: 10.1109/TSC.2015.2407877. [PDF]
  112. S. Wang, C. Fan, C. H. Hsu, Q. Sun, and F. Yang, “A Vertical Handoff Method via Self-Selection Decision Tree for Internet of Vehicles,” IEEE Systems Journal, no. 3, vol. 10, pp. 1183-1192, 2016. DOI: 10.1109/jsyst.2014.2306210.[PDF]
  113. Tao Lei, Shangguang Wang*, Jinglin Li, Fangchun Yang. AOM: Adaptive Mobile Data Traffic Offloading for M2M Networks. Personal and Ubiquitous Computing, vol. 20, no. 6, pp.863-873, 2016. DOI：10.1007/s00779-016-0962-4.[PDF]
  114. C. H. Hsu, S. G. Wang, D. Q. Zhang, H. C. Chu, and N. Lu, “Efficient identity authentication and encryption technique for high throughput RFID system,” Security and Communication Networks, 15, vol. 9, pp. 2581-2591, 2016.
  115. T. Lei, S. Wang*, J. Li, I. You, and F. Yang, “Detecting and preventing selfish behaviour in mobile ad hoc network,” Journal of Supercomputing, no. 8, vol. 72, pp. 3156-3168, 2016. DOI: 10.1007/s11227-015-1561-2,https://rdcu.be/6rOe [PDF]
  116. Wang S, Huang L, Hsu C-H, Yang F. Collaboration reputation for trustworthy Web service selection in social networks. Journal of Computer and System Sciences, no.1, vol. 82, pp.130-143, 2016 doi:10.1016/j.jcss.2015.06.009. [PDF]
  117. Ao Zhou,Shangguang Wang*, Jinglin Li,Qibo Sun,Fangchun Yang. Optimal mobile device selection for mobile cloud service providing. Journal of Supercomputing, no. 8, vol, 72, pp. 3222-3235, 2016.DOI:10.1007/s11227-016-1704-0 [PDF] https://rdcu.be/6rMB
  118. Qibo Sun, Lubao Wang, Shangguang Wang, You Ma, Ching-Hsien Hsu.QoS Prediction for Web Service in Mobile Internet Environment. New Review of Hypermedia and Multimedia, no. 3, vol. 22, pp. 207-222, 2016. [PDF]
  119. Q. B. Sun, S. G. Wang*, N. Lug, K. S. Wong, and M. H. Kim, “SFADS: A SIP Flooding Attack Detection Scheme with the Internal and External Detection Features in IMS Networks,” Journal of Internet Technology, 7, vol. 17, pp. 1327-1338, Dec 2016. [PDF]
  120. A. Zhou, S. Wang, C.-H. Hsu, Q. Sun, and F. Yang, “Task rescheduling optimization to minimize network resource consumption,” Multimedia Tools and Applications, no. 20, vol. 75, pp. 12901-12917, 2016. DOI: 10.1007/s11042-015-2549-x https://rdcu.be/6os6 [PDF]
  121. Qiliang Zhu, Shangguang Wang* , Qibo Sun, Ching-Hsien Hsu, Fangchun Yang.Service Classification Based on Improved BP Neural Network. Journal of Internet Technology, Accept, 2016.[PDF] [Sourcecode]
  122. Shangguang Wang, Tao Lei, Lingyan Zhang, Ching-Hsien Hsu, Fangchun Yang.Offloading Mobile Data Traffic for QoS-aware Service Provision in Vehicular Cyber-Physical Systems. Future Generation Computer Systems, vol. 61, pp. 118-127, 2016, doi:10.1016/j.future.2015.10.004. [PDF]
  123. Jie Wei, Shangguang Wang*,Lingyan Zhang,Ao Zhou,Qibo Sun and Fangchun Yang. Virtual Machine Placement to Minimize Data Transmission Latency in MapReduce. Journal of Internet Technology, Accept, 2015. [PDF]
  124. You M, Xin X, Shangguang W, Jinglin L, Qibo S, Fangchun Y. QoS evaluation for web service recommendation. China Communications,2015,12(4):151-160. Doi: 10.1109/cc.2015.7114061.
  125. Wang S, Zheng Z, Wu Z, Lyu M, Yang F. Reputation Measurement and Malicious Feedback Rating Prevention in Web Service Recommendation System. IEEE Transactions on Services Computing, no. 5, vol. 8, pp. 755 - 767, 2015. DOI: 10.1109/TSC.2014.2320262 [PDF] [Video]
  126. Lin Huang, Shangguang Wang, Ching-Hsien Hsu, Juanjuan Zhang, Fangchun Yang. Using reputation measurement to defend mobile social networks against malicious feedback ratings. Journal of Supercomputing 71(6):2190-2203 (2015). DOI：10.1007/s11227-015-1432-x [PDF]
  127. Cheng B, Yang J, Wang S, Chen J. Adaptive Video Transmission Control System Based on Reinforcement Learning Approach Over Heterogeneous Networks. IEEE Transactions on Automation Science and Engineering, no. 3, vol. 12, pp. 1104 - 1113, 2015. DOI: 10.1109/tase.2014.2387212. [PDF]
  128. Shangguang Wang, Lei Sun, Qibo Sun, Jie Wei, Fangchun Yang. Reputation Measurement of Cloud Services based on Unstable Feedback Ratings. International Journal of Web and Grid Services. Vol. 11, No. 4, pp. 362-376, 2015. DOI: 10.1504/IJWGS.2015.072805 [PDF]
  129. Youqi Chen, Qibo Sun, Ao Zhou, Shangguang Wang “WebCloudSim: an Open Online Cloud Computing Simulation Tool for Algorithm Comparision”, Services Transactions on Cloud Computing (STCC), 3(2), 2015, pp. 26-32. [PDF]
  130. Ao Zhou, Shangguang Wang*, Chenchen Yang, Lei Sun, Qibo Sun, Fangchun Yang. FTCloudSim: Support for Cloud Service Reliability Enhancement Simulation. International Journal of Web and Grid Services. vol. 11, no. 4, pp. 347-361,2015.DOI: 10.1504/IJWGS.2015.072804 [PDF]
  131. S. Wang, L. Sun, Q. Sun, J. Li, and F. Yang, “Efficient Service Selection in Mobile Information Systems,” Mobile Information Systems, Volume 10 (2014), Issue 2, Pages 197-215. DOI:10.1155/2015/949436 [PDF] [Sourcecode]
  132. F. Yang, S. Wang, J. Li, Z. Liu, and Q. Sun, “An overview of Internet of Vehicles,” China Communications, no. 10, vol. 11, pp. 1-15, 2014.DOI: 10.1109/CC.2014.6969789[PDF]
  133. Shangguang Wang, Zibin Zheng,Zhengping Wu, Fangchun Yang. Context-aware Mobile Service Adaptation via a Co-evolution eXtended Classifier System in Mobile Network Environments. Mobile Information Systems, 2014, Vol.10, No. 2, p.197-215.DOI: 10.3233/MIS-130178 [PDF] [Sourcecode]
  134. Shangguang Wang,Ching-Hsien Hsu,Zhongjun Liang,Qibo Sun,Fangchun Yang. Multi-user web service selection based on multi-QoS prediction. Information Systems Frontiers,Volume 16, Issue 1 (2014), Page 143-152 DOI:10.1007/s10796-013-9455-4 [PDF]
  135. Shangguang Wang, Qibo Sun, Hua Zou, Fangchun Yang. Towards an Accurate Evaluation of Quality of Cloud Service in Service-oriented Cloud Computing. Journal of Intelligent Manufacturing, 2014, Vol.25, No.2, Page 283-291. [DOI: 10.1007/s10845-012-0661-6] [PDF]
  136. Zhipiao Liu, Shangguang Wang*, Qibo Sun, Hua Zou, Fangchun Yang.Cost-Aware Cloud Service Request Scheduling for SaaS Providers. The Computer Journal, 2014,57(2):291-301. DOI: 10.1093/comjnl/bxt009 [PDF]
  137. Shangguang Wang, Xilu Zhu, Fangchun Yang. Efficient QoS Management for QoS-aware Web Service Composition. International Journal of Web and Grid Services 2014,10(1):1-23. DOI:10.1504/IJWGS.2014.058763 [PDF]
  138. Shangguang Wang,Cunqun Fan,Cao Deng,Wenzhe Gu,Qibo Sun,Fangchun Yang. A-GR: A Novel Geographical Routing Protocol for AANETs. Journal of Systems Architecture, 2013, Volume 59, Issue 10, Part B, Pages 931¨C937.
  139. Shangguang Wang,Xilu Zhu,Qibo Sun,Hua Zou,Fangchun Yang. Low-Cost Web Service Discovery Based on Distributed Decision Tree in P2P Environments. Wireless Personal Communications,2013,Volume 73,Issue 4,pp 1477-1493.
  140. Shangguang Wang, Qibo Sun, Hua Zou, Fangchun Yang. Particle Swarm Optimization with Skyline Operator for Fast Cloud-based Web Service Composition. Mobile Networks and Applications,2013,Vol.18,No.1,pp.116-121. DOI: 10.1007/s11036-012-0373-3
  141. Shangguang Wang, WeiSu,Xilu Zhu, and Hongke Zhang. A Hadoop-based Approach for Efficient Web Service Management. International Journal of Web and Grid Services, 2013,Vol.9,No.1,pp.18 - 34. [PDF]
  142. Shangguang Wang, Yan Gong, Guangxiao Chen, Qibo Sun and Fangchun Yang.Service Vulnerability Scanning based on Service-oriented Architecture in Web Service. Journal of Systems Architecture,59 (2013), pp. 731-739.
  143. S. Wang, Z. Liu, Q. Sun, H. Zou and F. Yang. Pruning Redundant Services for Fast Service Selection. International Journal of Computational Methods, 2013,Vol.10,No.6,pages 47-66.
  144. Wang S, Sun Q, Yang F. Quality of service measure approach of web service for service selection. IET Software, 2012,Vol.6,No.2,pp.148-154.
  145. Shangguang Wang, Qibo Sun, Hua Zou, Fangchun Yan. Detecting SYN flooding attacks based on traffic prediction. Security and Communication Network, 2012,Vol.5,No.10,pp.1131-1140. I
  146. Shangguang Wang, Hua Zou, Qibo Sun, Fangchun Yan. Bayesian Approach with Maximum Entropy Principle for Trusted Quality of Web Service Metric in E-commerce Application. Security and Communication Network, 2012,Vol.5,No.10,pp.1112-1120. [PDF]
  147. Wang S, Sun Q, Zou H, Yang F. Reputation measure approach of web service for service selection.IET Software,2011,Vol.5,No.5,pp.466-473.
  148. Wang SG, Zheng ZB, Sun QB, Zou H, Yang FC. Reliable web service selection via QoS uncertainty computing. International Journal of Web and Grid Services,2011,Vol.7,No.4,pp.410-426.[PDF] [Sourcecode]
  149. Wang SG, Sun QB, Zou H, Yang FC. Web Service Selection Based on Adaptive Decomposition of Global QoS Constraints in Ubiquitous Environment. Journal of Internet Technology,2011,Vol.12,No.5.pp.757-768.
  150. Sun QB, Wang SG*, Zou H, Yang FC. QSSA: A QoS-aware Service Selection Approach. International Journal of Web and Grid Services,2011,Vol.7,No.2,pp.147-169.
  151. Wang SG, Sun QB, Yang FC. Towards Web Service selection based on QoS estimation. International Journal of Web and Grid Services, 2010,Vol.6,No.4,pp.424-443. DOI:10.1504/IJWGS.2010.036406