Selected Publications


    [Journal Papers] [Conference Papers] [Books/Chapters] [Chinese Papers ]

    1. C.Ding, A. Zhou, L. Liu, X. Ma, S. Wang, Resource-aware Feature Extraction in Mobile Edge Computing, IEEE Transactions on Mobile Computing, 2020, [PDF], https://ieeexplore.ieee.org/document/9134931.

    2. 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,2020, to appear.

    3. 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, [PDF], https://ieeexplore.ieee.org/document/9123603.

    4. 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/

    5. 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].

    6. 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] .

    7. 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]

    8. 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.

    9. 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]

    10. 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

    11. 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.

    12. 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]

    13. 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/

    14. 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.

    15. 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

    16. 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]

    17. 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.

    18. 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]

    19. 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].

    20. 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/.

    21. 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].

    22. 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.

    23. 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.

    24. , Aggregated multi-attribute query processing in edge computing for industrial IoT applications. Computer Networks, vol.151, pp. 114-123,

    25. 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.

    26. 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.

    27. 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.

    28. 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.

    29. 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

    30. 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][Source-code].

    31. 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]

    32. 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]

    33. 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]

    34. 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

    35. Chuntao Ding,Shangguang Wang*. Appropriate Points Choosing for Subspace Learning over Image Classification. Journal of Supercomputing, 75(2): 688-703, 2019. [PDF]

    36. 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, .[PDF]

    37. 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).

    38. 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.

    39. 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]

    40. 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]

    41. 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

    42. 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]

    43. 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].

    44. , , , , Survey on QoE Assessment Approach for Network Service. IEEE Access, no. 6, 2018, pp. 48374-48390.

    45. 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.

    46. 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.

    47. Di Lu, Chuntao Ding, Jinliang Xu and Shangguang Wang. Hierarchical Discriminant Analysis, Sensors, 2018, 18(1), 279.

    48. : Towards Bandwidth Guaranteed Virtual Cluster Reallocation in the Cloud. Computer Journal, 61(9): 1284-1295,

    49. 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.

    50. 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

    51. 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.

    52. 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]

    53. 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]

    54. 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][Source-code]

    55. 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

    56. Jinliang Xu, Shangguang Wang, Fangchun Yang, Jie Tang,Multiple User Context Inference by Fusing Data Sources,https://arxiv.org/abs/1703.04215,2017.

    57. Jinliang Xu, Shangguang Wang, Fangchun Yang, Rong N. Chang, Cognitive Inference of Demographic Data by User Ratings, https://arxiv.org/abs/1703.04216, 2017.

    58. 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]

    59. 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]

    60. 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]

    61. 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

    62. 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

    63. 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]

    64. 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]

    65. 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]

    66. 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]

    67. 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]

    68. 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]

    69. 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]

    70. 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]

    71. 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.

    72. 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 [PDF] https://rdcu.be/6rOe

    73. 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]

    74. 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

    75. 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]

    76. 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]

    77. 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 [PDF] https://rdcu.be/6os6

    78. 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]

    79. 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]

    80. 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]

    81. 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.

    82. 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

    83. , , , , Using reputation measurement to defend mobile social networks against malicious feedback ratings. Journal of Supercomputing 71(6):2190-2203 (). DOI:10.1007/s11227-015-1432-x [PDF]

    84. 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]

    85. 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]

    86. 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]

    87. 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]

    88. 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][Source-code]

    89. 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]

    90. 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]

    91. 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]

    92. 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. [PDF] DOI: 10.1007/s10845-012-0661-6

    93. 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]

    94. 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]

    95. 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.

    96. 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.

    97. 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

    98. 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]

    99. 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.

    100. 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.

    101. 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.

    102. 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

    103. 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]

    104. 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.

    105. 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]

    106. 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.

    107. 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.

    108. 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

    Conference Papers

    1. Chuntao Ding, Ao Zhou, Xiao Ma, Shangguang Wang, Cognitive Service in Mobile Edge Computing, Proc. IEEE ICWS 2020, accepted.[PDF]

    2. Renuga Kanagavelu, Zengxiang Li, Juniarto Samsudin, Yechao Yang, Feng Yang, Rick Siow Mong Goh, Mervyn Cheah, Praewpiraya Wiwatphonthana, Khajonpong Akkarajitsakul and Shangguang Wang. Two-Phase Multi-Party Computation Enabled Privacy-Preserving Federated Learning, Proc. ACM/IEEE CCGrid 2020, accepted.

    3. Xiao Ma, Ao Zhou, Shan Zhang, Shangguang Wang, Cooperative Service Caching and Workload Scheduling in Mobile Edge Computing, Proc.IEEE INFOCOM 2020, accepted.

    4. Songtai Dai, Ao Zhou, Shangguang Wang, The Performance Evaluation of Virtual Machine Placement Algorithm Based on WebCloudSim. Proc. IEEE CLOUD 2018: 950-953

    5. Yuanzhe Li, Shangguang Wang, An Energy-Aware Edge Server Placement Algorithm in Mobile Edge Computing. Proc. IEEE EDGE 2018: 66-73[Sourcecode]

    6. Bo Wei, Wataru Kawakami, Kenji Kanai, Jiro Katto, Shangguang Wang, TRUST: A TCP Throughput Prediction Method in Mobile Networks. Proc. IEEE GLOBECOM 2018: 1-6

    7. Yujiong Liu, Shangguang Wang, Jie Huang, Fangchun Yang, A Computation Offloading Algorithm Based on Game Theory for Vehicular Edge Networks. Proc. IEEE ICC 2018: 1-6

    8. Lingyan Zhang, Shangguang Wang, Rong N.Chang. QCSS: A QoE-aware Control Plane for Adaptive Streaming Service over Mobile Edge Computing Infrastructures, In Proceedings of the IEEE International Conference on Web Services (ICWS 2018), 2018, pp. 139-146.

    9. Qiliang Zhu, Ao Zhou, Qibo Sun, Shangguang Wang, Fangchun Yang. FMSR: a Fairness-aware Mobile Service Recommendation Method, In Proceedings of the IEEE International Conference on Web Services (ICWS 2018), 2018, pp. 171-178.

    10. Yuanzhe Li, Shangguang Wang. An energy-aware Edge Server Placement Algorithm in Mobile Edge Computing. Proceedings of the IEEE International Conference on Edge Computing (EDGE 2018),2018, pp.66-73.

    11. Jie Wei, Shangguang Wang and Fangchun Yang. CMIP: Data Transmission Latency Optimization for Cooperative Group in Multi-Cloud by Adaptive Routing, IEEE ICPADS 2017, pp.410-418.

    12. Lingyan Zhang,Shangguang Wang,Fangchun Yang,Rong Chang.QoEcenter: A Visualized Platform For QoE Evaluation Of Streaming Video Services, IEEE ICWS 2017, research track, pp. 212 - 219, 2017.

    13. Xiaojuan Wei, Shangguang Wang, Ao Zhou, Jinliang Xu,Sen Su,Sathish Kumar,Fangchun Yang.MVR: An Architecture For Computation Offloading In Mobile Edge Computing,The 1st IEEE International Conference on Edge Computing,short paper, 2017, pp.232-235.

    14. Yali Zhao,Shangguang Wang.The Service Recommendation Problem: An overview of traditional and recent approaches. 12th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, 2016 [PDF]

    15. Guoyu Yang, Qibo Sun, Ao Zhou, Shangguang Wang, Jinglin Li. Poster Abstract: Access Point Ranking for Cloudlet
      Placement in Edge Computing Environment. The First IEEE/ACM Symposium on Edge Computing (SEC 2016), poster paper, 2016 [PDF]

    16. Yujiong Liu, Shangguang Wang, Fangchun Yang. Poster Abstract: A Multi-User Computation Offloading Algorithm based on Game Theory in Mobile Cloud Computing. The First IEEE/ACM Symposium on Edge Computing (SEC 2016), poster paper, 2016 [PDF]

    17. Yali Zhao, Shangguang Wang, Lubao Wang. Poster Abstract: API QoS Prediction for Apps in Cellular Networks. The First IEEE/ACM Symposium on Edge Computing (SEC 2016), poster paper, 2016 [PDF]

    18. Yan Guo, Shangguang Wang. Skyline Service Selection based on QoS Prediction.IEEE Cluster, poster paper, 2016 [PDF]

      Jinliang Xu, Shangguang Wang, Ao Zhou, Fangchun Yang. Machine Status Prediction for Dynamic and Heterogenous Cloud Environment. IEEE Cluster, poster paper, 2016 [PDF]

    19. Xu J, Wang S, Su S, Kumar SAP, Wu C. Latent Interest and Topic Mining on User-Item Bipartite Networks. 2016 IEEE International Conference on Services Computing (SCC). 2016. p. 778-781. doi: 10.1109/scc.2016.105.

    20. , A Cooperative Route Choice Approach via Virtual Vehicle in Internet of Vehicles. Proc. IOV  194-205.

    21. Jiang Z, Zhou A, Wang S, Sun Q, Lin R, Yang F. Personalized Service Recommendation for Collaborative Tagging Systems with Social Relations and Temporal Influences. 2016 IEEE International Conference on Services Computing (SCC 2016). 2016. p. 786-789. doi: 10.1109/scc.2016.107., short papers, 2016[PDF]

    22. Zhang L, Sun Q, Wang S, Su S, Yang F. Towards Video Quality of Experience and Selective Attention: A Subtitle-Based Measurement Study. 2016 IEEE International Conference on Services Computing (SCC 2016). 2016. p. 872-875. doi: 10.1109/scc.2016.127, short papers, 2016[PDF]

    23. Xiaochi Wei, Heyan Huang, Chin-Yew Lin, XinXin,Xianling Mao,Shangguang Wang. Re-Ranking Voting-Based Answers by Discarding User Behavior Biases. Proceeding of the 24th International Conference on Artificial Intelligence (IJCAI), pages 2380-2386, main track paper, 2015

    24. Ma Y, Wang S, Yang F, Chang RN. Predicting QoS Values via Multi-dimensional QoS Data for Web Service Recommendations. 2015 IEEE International Conference on Web Services (ICWS 2015), 2015. p. 249-256.

    25. Jinglin Li, Chenchen Yang, Shangguang Wang, "An Online Cloud Data Center Simulation System," Proc. IEEE/ACM 23th International Symposium on Quality of? Service (IWQoS 2015), Demo paper, 2015[PDF]

    26. J.Liu,S. Wang,A. Zhou, and F. Yang, "PFT-CCKP: a Proactive Fault Tolerance Mechanism for Data Center Network," Proc. IEEE/ACM 23th International Symposium on Quality of Service (IWQoS 2015), Demo paper, 2015[PDF]

    27. Wang Lubao, Sun Qibo, Wang Shangguang, You Ma, Jinliang Xu, Jinglin Li. Web Service QoS Prediction Approach in Mobile Internet Environments. IEEE International Conference on Data Mining (ICDM 2014), Demo paper, 2014: 1239-1241. [PDF]

    28. L. Wei, S. Qibo, and W. Shangguang, "Context-Based Web Service Reputation Measurement," IEEE 17th International Conference on Computational Science and Engineering (CSE 2014), 2014, pp. 1489-1496.

    29. L. Sun, S. Wang, J. Li, Q. Sun, and F. Yang, "QoS Uncertainty Filtering for Fast and Reliable Web Service Selection," 2014 IEEE International Conference on Web Services (ICWS 2014), 2014, pp. 550-557.[Source-code]

    30. J. Zhang, J. Li, S. Wang, and J. Bian, "A Neural Network Based Schema Matching Method for Web Service Matching," IEEE International Conference on Services Computing (SCC 2014), 2014, pp. 448-455.

    31. Z. Junming, L. Jinglin, W. Shangguang, L. Zhihan, Y. Quan, and Y. Fangchun, "On Retrieving Moving Objects Gathering Patterns from Trajectory Data via Spatio-temporal Graph," 2014 IEEE International Congress on Big Data (BigData Congress 2014 ), 2014, pp. 390-397. (Invitation for Publication in JWSR)

    32. W. Shangguang, L. Zhipiao, Z. Zibin, S. Qibo, and Y. Fangchun, "Particle Swarm Optimization for Energy-Aware Virtual Machine Placement Optimization in Virtualized Data Centers," 2013 International Conference on Parallel and Distributed Systems (ICPADS), 2013, pp. 102-109.[Sourcecode]

    33. Z. Ao, W. Shangguang, S. Qibo, Z. Hua, and Y. Fangchun, "Dynamic Virtual Resource Renting Method for Maximizing the Profits of a Cloud Service Provider in a Dynamic Pricing Model," 2013 International Conference on Parallel and Distributed Systems (ICPADS), 2013, pp. 118-125.

    34. W. Shangguang, W. Jie, S. Lei, S. Qibo, and Y. Fangchun, "Reputation Measurement of Cloud Services Based on Unstable Feedback Ratings," 2013 International Conference on Parallel and Distributed Systems (ICPADS),2013, pp. 474-479. (invited to IJWGS publication)

    35. Ma Y, Wang S, Sun Q, Zou H, Yang F. Predicting unknown QoS value with QoS-Prophet. Proceedings of ACM/IFIP/USENIX International Middleware Conference£¬ Demo & Poster Track, 2013. p. 1-2.doi: 10.1145/2541614.2541629 [YouTu][China-YouKu]

    36. Zhou A, Wang S, Sun Q, Zou H, Yang F. FTCloudSim: a simulation tool for cloud service reliability enhancement mechanisms. Proceedings of ACM/IFIP/USENIX International Middleware Conference£¬ Demo & Poster Track, 2013. p. 1-2.doi: 10.1145/2541614.2541616.[YouTu] [China-YouKu]

    37. Cunqun Fan, Shangguang Wang*, Qibo Sun, Hua Zou, Fangchun Yang. A Trust Evaluation Method Based on Energy Monitoring for Wireless Sensor Networks. IEEE INFOCOM, Students poster, 2013.

    38. You Ma,Shangguang Wang,Qibo Sun,Hua Zou,Fangchun Yang.Web Services QoS Measure based on Subjective and Objective Weight.IEEE 10th International Conference on Services Computing (SCC 2013), June 27-July 2, 2013, Santa Clara Marriott, CA,USA.

    39. Wang S, Zheng Z, Sun Q, Zou H, Yang F. Evaluating feedback ratings for measuring reputation of web services. The IEEE 8th International Conference on Service Computing (SCC'11), July 5-10,2011,Washington DC,USA, 2011, pp. 192-199.

    40. Shangguang W, Zheng Z, Qibo S, Hua Z, Fangchun Y. Cloud model for service selection. IEEE INFOCOM 2011Workshop on Cloud Computing, April 15 2011, Shanghai, China, 2011, p. 666-671.[Sourcecode]

    Books/Chapters

    1. Wang, Shangguang, Zhou, Ao (Eds.), Collaborate Computing: Networking, Applications and Worksharing, 2017, Springer International Publishing, eBook ISBN
      978-3-319-59288-6, http://www.springer.com/gp/book/9783319592879

    2. Qiang Duan,Shangguang Wang (Eds.), Network as a Service for Next Generation Internet. IET Publisher, Stevenage, United Kingdom, 2017, ISBN: 978-1-78561-176-6. http://www.theiet.org/resources/books/telecom/Naas.cfm

    3. Lingyan Zhang, Mingzhe Yang, Yan Guo and Shangguang Wang, "Service selection and recommendation in integrated network environment", Book Chapter, IET Publisher, Stevenage, United Kingdom, 2017, ISBN: 978-1-78561-176-6. http://www.theiet.org/resources/books/telecom/Naas.cfm [PDF]

    4. Ching-Hsien Hsu, Xia Feng, Xingang Liu and Shangguang Wang (Eds.), Internet of Vehicles: Safe and Intelligent Mobility , 2015, Springer International Publishing, eBook ISBN: 978-3-319-27293-1. http://www.springer.com/in/book/9783319272924

    5. Hsu, Robert C.-H., Shangguang, Wang (Eds.), Internet of Vehicles -- Technologies and Services, 2014, Springer International Publishing, eBook ISBN: 978-3-319-11167-4. http://www.springer.com/us/book/9783319111667.