Shangguang Wang

Shangguang Wang

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

Posts by Collection

portfolio

publications

Conference Paper

Published in , 1900

  1. Hongyu Li, Liwei Guo, Yexuan Yang, Shangguang Wang, Mengwei Xu, An Empirical Study of Rust-for-Linux: The Success, Dissatisfaction, and Compromise, In Proc. USENIX ATC 2024. Best Paper. [Sorcecode]
  2. Ruolin Xing, Mengwei Xu, Ao Zhou, Qing Li, Yiran Zhang, Feng Qian, Shangguang Wang, Deciphering the Enigma of Satellite Computing with COTS, In Proc. ACM MobiCom 2023. [Dataset]
  3. Zhenting Zhang, Yuanzhe Li, Shangguang Wang, SBIES: A Satellite Base Station Intelligent Energy-Saving System, Proc. The 2025 International Conference on Satellite Computing (IEEE Satellite 2025).
  4. Weikai Xie, Li Zhang, Shihe Wang, Rongjie Yi, Mengwei Xu, DroidCall: A Dataset for LLM-powered Android Intent Invocation, Proc. The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025).
  5. Li Zhang, Mengwei Xu, Scaling Test-time Compute in Mobile GUI Agents with Parallel Speculative Execution, Proc. The 2nd International Workshop on Edge and Mobile Foundation Models (EdgeFM 2025), co-located with MobiCom 2025.
  6. Xianqing Jia, Li Zhang, Mengwei Xu, AndroidWMSearch: Mobile Agents Tree Search With World Model, Proc. The 31st International Conference on Parallel and Distributed Systems (ICPADS 2025).
  7. Peiru Yang, Haoran Zheng, Yi Luo, Xinyi Liu, Jinrui Wang, Huili Wang, Xintian Li, Yongfeng Huang, Tao Qi, ShieldRAG: Safeguarding Retrieval-Augmented Generation from Untrusted Knowledge Bases, Proc. The 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026).
  8. Lipei Yang, Sisi Li, Ao Zhou, Xiao Ma, Yiran Zhang, Shangguang Wang, Reliability-aware Resource Allocation for Vehicular Services in Mobile Edge Computing, Proc. IEEE International Conference on Web Services (ICWS 2025).
  9. Jia Liu, Qian Li, Yongqi Li, Cheng Ji, Shangguang Wang, SCo-Cloud: Satellite Constellation Collaboration for Cloud-Aware Onboard-Computed Imaging and Transmission, Proc. The 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026).
  10. Zhihan Zheng, Haitao Yuan, Minxiao Chen, Nan Jiang, Haoning Wang, Shangguang Wang, GeoKGM: A Multimodal Large Language Model for Zero-Shot Knowledge Graph Completion in Geospatial Databases, Proc. 2026 ACM SIGMOD/PODS Conference.
  11. Jinfeng Wen, Jianshu Zhao, Zixi Zhu, Xiaomin Zhang, Qi Liang, Ao Zhou, Shangguang Wang, SateLight: A Satellite Application Update Framework for Satellite Computing, Proc. IEEE/ACM International Conference on Automated Software Engineering (ASE 2025).
  12. Minxiao Chen, Haitao Yuan, Nan Jiang, Zhihan Zheng, Sai Wu, Ao Zhou, Shangguang Wang, RLOMM: An Efficient and Robust Online Map Matching Framework with Reinforcement Learning, Proc. ACM SIGMOD 2025.
  13. Zuo Zhu, Ruolin Xing, Yiran Zhang, Chaoxin Yu, Ao Zhou, Shangguang Wang, POSTER: An End-to-End Study on Performance and Reliability of LEO Satellite-Terrestrial Data Links, Proc. ACM SIGCOMM 2024.
  14. Dongqi Cai, Shangguang Wang, Zeling Zhang, Felix Xiaozhu Lin, Mengwei Xu, SILENCE: Protecting Privacy in Offloaded Speech Understanding on Resource-constrained Devices, Proc. NeurIPS 2024.
  15. Mengwei Xu, Dongqi Cai, Yaozong Wu, Xiang Li, Shangguang Wang, FwdLLM: Efficient Federated Finetuning of Large Language Models with Perturbed Inferences, Proc. USENIX ATC 2024.
  16. Jianing Si, Haitao Yuan, Xiang Li, Nan Jiang, Xiao Ma, Guoliang Li, Shangguang Wang, Having It Both Ways: Single Trajectory Embedding for Similarity Computation with Pairwise Learning, Proc. IEEE ICDE 2025.
  17. Qian Li, Yucheng Zhou, Cheng Ji, Feihong Lu, Jianian Gong, Shangguang Wang, Jianxin Li, Multi-Modal Inductive Framework for Text-Video Retrieval, Proc. ACM Multimedia 2024.
  18. Zhihan Zheng, Haitao Yuan, Minxiao Chen, Shangguang Wang, RLER-TTE: An Efficient and Effective Framework for En Route Travel Time Estimation with Reinforcement Learning, Proc. ACM SIGMOD 2025.
  19. Lipei Yang, Ao Zhou, Xiao Ma, Yiran Zhang, Yuanzhe Li, Shangguang Wang, Flexible Shadow: Enhancing Service Reliability in Resource-Constrained Edge Computing, Proc. IEEE ICWS 2024.
  20. Jinglong Guan, Qiyang Zhang, Ilir Murturi, Praveen Kumar Donta, Schahram Dustdar, Shangguang Wang, Collaborative Inference in DNN-based Satellite Systems with Dynamic Task Streams, Proc. IEEE ICC 2024.
  21. Yupeng Fu, Jianing Si, Xiao Ma, Yuanzhe Li, Yiran Zhang, Shangguang Wang, Deciphering the Performance of Satellite UPF: Measurement and Enhancement, Proc. IEEE GLOBECOM 2024.
  22. Weiwei Gao, Ao Zhou, Jianing Tang, Yuanzhe Li, Shangguang Wang, Delay- and Cost-Aware Dynamic Service Migration in Collaborative Satellite Computing, Proc. International Conference on Collaborative Computing 2024.
  23. Yijie Chen, Qiyang Zhang, Ruolin Xing, Yuanzhe Li, Xiao Ma, Chaoxin Yu, Yiran Zhang, Ao Zhou, Shangguang Wang, Energy-Aware Satellite-Ground Co-Inference via Layer-Wise Processing Schedule Optimization, Proc. Asia-Pacific Symposium on Internetware 2024.
  24. Li Zhang, Shihe Wang, Xianqing Jia, Zhihan Zheng, Yunhe Yan, Longxi Gao, Yuanchun Li, Mengwei Xu, Shangguang Wang, LlamaTouch: A Faithful and Scalable Testbed for Mobile UI Task Automation, Proc. ACM UIST 2024.
  25. Minxiao Chen, Haitao Yuan, Nan Jiang, Zhifeng Bao, Shangguang Wang, Urban Traffic Accident Risk Prediction Revisited: Regionality, Proximity, Similarity and Sparsity, Proc. ACM CIKM 2024.
  26. Li Zhang, Zhe Fu, Boqing Shi, Xiang Li, Rujin Lai, Chenyang Yang, Ao Zhou, Xiao Ma, Shangguang Wang, Mengwei Xu, More is Different: Prototyping and Analyzing a New Form of Edge Server with Massive Mobile SoCs, Proc. USENIX ATC 2024.
  27. Li Zhang, Shangguang Wang, Mengwei Xu, High-density Mobile Cloud Gaming on Edge SoC Clusters, Proc. USENIX ATC 2024.
  28. Hongyu Li, Liwei Guo, Yexuan Yang, Shangguang Wang, Mengwei Xu, An Empirical Study of Rust-for-Linux: The Success, Dissatisfaction, and Compromise, Proc. USENIX ATC 2024.
  29. Li Zhang, Shangguang Wang, Mengwei Xu, High-density Mobile Cloud Gaming on Edge SoC Clusters, Proc. USENIX ATC 2024.
  30. Li Zhang, Zhe Fu, Boqing Shi, Xiang Li, Rujin Lai, Chenyang Yang, Ao Zhou, Xiao Ma, Shangguang Wang, Mengwei Xu, More is Different: Prototyping and Analyzing a New Form of Edge Server with Massive Mobile SoCs, Proc. USENIX ATC 2024.
  31. Minxiao Chen, Haitao Yuan, Nan Jiang, Zhifeng Bao, Shangguang Wang, Urban Traffic Accident Risk Prediction Revisited: Regionality, Proximity, Similarity and Sparsity, Proc. ACM CIKM 2024.
  32. Yijie Chen, Qiyang Zhang, Ruolin Xing, Yuanzhe Li, Xiao Ma, Chaoxin Yu, Yiran Zhang, Ao Zhou, Shangguang Wang, Energy-Aware Satellite-Ground Co-Inference via Layer-Wise Processing Schedule Optimization, Proc. Asia-Pacific Internetware 2024.
  33. Weiwei Gao, Ao Zhou, Jianing Tang, Yuanzhe Li, Shangguang Wang, Delay- and Cost-Aware Dynamic Service Migration in Collaborative Satellite Computing, Proc. CollaborateCom 2024.
  34. Jinglong Guan, Qiyang Zhang, Ilir Murturi, Praveen Kumar Donta, Schahram Dustdar, Shangguang Wang, Collaborative Inference in DNN-based Satellite Systems with Dynamic Task Streams, Proc. IEEE ICC 2024.
  35. Lipei Yang, Ao Zhou, Xiao Ma, Yiran Zhang, Yuanzhe Li, Shangguang Wang, Flexible Shadow: Enhancing Service Reliability in Resource-Constrained Edge Computing, Proc. IEEE ICWS 2024.
  36. Zhihan Zheng, Haitao Yuan, Minxiao Chen, Shangguang Wang, RLER-TTE: An Efficient and Effective Framework for En Route Travel Time Estimation with Reinforcement Learning, Proc. ACM SIGMOD 2025.
  37. Qian Li, Yucheng Zhou, Cheng Ji, Feihong Lu, Jianian Gong, Shangguang Wang, Jianxin Li, Multi-Modal Inductive Framework for Text-Video Retrieval, Proc. ACM Multimedia 2024.
  38. Jianing Si, Haitao Yuan, Xiang Li, Nan Jiang, Xiao Ma, Guoliang Li, Shangguang Wang, Having It Both Ways: Single Trajectory Embedding for Similarity Computation with Pairwise Learning, Proc. IEEE ICDE 2025.
  39. Mengwei Xu, Dongqi Cai, Yaozong Wu, Xiang Li, Shangguang Wang, FwdLLM: Efficient Federated Finetuning of Large Language Models with Perturbed Inferences, Proc. USENIX ATC 2024.
  40. Dongqi Cai, Shangguang Wang, Zeling Zhang, Felix Xiaozhu Lin, Mengwei Xu, SILENCE: Protecting Privacy in Offloaded Speech Understanding on Resource-constrained Devices, Proc. NeurIPS 2024.
  41. Zuo Zhu, Ruolin Xing, Yiran Zhang, Chaoxin Yu, Ao Zhou, Shangguang Wang, POSTER: An End-to-End Study on Performance and Reliability of LEO Satellite-Terrestrial Data Links, Proc. ACM SIGCOMM 2024.
  42. Nan Jiang, Haitao Yuan, Jianing Si, Minxiao Chen, Shangguang Wang, Towards Effective Next POI Prediction: Spatial and Semantic Augmentation with Remote Sensing Data, Proc. IEEE ICDE 2024.
  43. Ruolin Xing, Mengwei Xu, Ao Zhou, Qing Li, Yiran Zhang, Feng Qian, Shangguang Wang, Deciphering the Enigma of Satellite Computing with COTS Devices: Measurement and Analysis, Proc. ACM MobiCom 2024.
  44. Jinliang Yuan, Chen Yang, Dongqi Cai, Shihe Wang, Xin Yuan, Zeling Zhang, Xiang Li, Dingge Zhang, Hanzi Mei, Xianqing Jia, Shangguang Wang, Mengwei Xu, Mobile Foundation Model as Firmware, Proc. ACM MobiCom 2024.
  45. Jinliang Yuan, Shangguang Wang, Hongyu Li, Daliang Xu, Yuanchun Li, Mengwei Xu, Xuanzhe Liu, Towards Energy-efficient Federated Learning via INT8-based Training on Mobile DSPs, Proc. ACM WWW 2024.
  46. Zhichao Feng, Junjiie Xie, Kaiyuan Li, Yu Qin, Pengfeng Wang, Qianzhong Li, Bin Yin, Xiang Li, Wei Lin and Shangguang Wang, Context-based Fast Recommendation Strategy for Long User Behavior Sequence in Meituan Waimai, Proc. ACM WWW 2024.
  47. Qiyang Zhang, Xin Yuan, Ruolin Xing, Yiran Zhang, Xiao Ma, Mengwei Xu, Schahram Dustdar, Shangguang Wang, Resource-efficient In-orbit Detection of Earth Objects. Proc. IEEE INFOCOM 2024.
  48. Yanan Li, Guangqing Deng, Changming Bai, Jingyu Yang, Gang Wang, Hao Zhang, Jin Bai, Haitao Yuan, Mengwei Xu, Shangguang Wang, Demystifying the QoS and QoE of Edge-hosted Video Streaming Applications in the Wild with SNESet, Proc. ACM SIGMOD 2024.
  49. Jinliang Yuan, Shangguang Wang, Shihe Wang, Yuanchun Li, Xiao Ma, Ao Zhou and Mengwei Xu, Privacy as a Resource in Differentially Private Federated Learning, Proc. IEEE INFOCOM 2023.
  50. Dongqi Cai, Shangguang Wang, Yaozong Wu, Felix Xiaozhu Lin, Mengwei Xu, Federated Few-shot Learning for Mobile NLP. Proc. ACM MobiCom 2023.
  51. Sai Wang, Haitao Yuan, Zhifeng Bao, Shangguang Wang, Automatic Road Extraction with Multi-Source Data Revisited: Completeness, Smoothness and Discrimination. Proc. VLDB 2023.
  52. Yanan Li, Haitao Yuan, Zhe Fu, Xiao Ma, Mengwei Xu and Shangguang Wang, ELASTIC: Edge Workload Forecasting based on Collaborative Cloud-Edge Deep Learning, Proc. ACM WWW 2023.
  53. Kaiyuan Li, Pengfei Wang, Haitao Wang, Qiang Liu, Xingxing Wang, Dong Wang and Shangguang Wang, Communicative MARL-based Relevance Discerning Network for Repetition-Aware Recommendation, Proc. ACM WWW 2023.
  54. Dongqi Cai, Yaozong Wu, Shangguang Wang, Felix Xiaozhu Lin, Mengwei Xu. Resource-Efficient Federated Learning for Modern NLP. Proc. ACM MobiCom 2023.
  55. Yuanzhe Li, Ao Zhou, Xiao Ma, and Shangguang Wang, Collaborative Mobile Edge Computing through UPF Selection, Proc. EAI CollaborateCom 2022, Best Paper
  56. Liu Wang, Haoyu Wang, Xiapu Luo, Tao Zhang, Shangguang Wang, Xuanzhe Liu, Demystifying, Removed Reviews in iOS App Store, Proc. FSE 2022, Industry Track.
  57. Daliang Xu, Mengwei Xu, Qipeng Wang, Shangguang Wang, Yun Ma, Kang Huang, Gang Huang, Xin Jin, Xuanzhe Liu, Mandheling: Mixed-Precision On-Device DNN Training with DSP Offloading, Proc. ACM MobiCom 2022.
  58. Sisi Li, Ao Zhou, Xiao Ma, Mengwei Xu, Shangguang Wang, Commutativity-Guaranteed Docker Image Reconstruction towards Effective Layer Sharing, Proc. ACM WWW 2022.
  59. Qiyang Zhang, Xiang Li, Xiangying Che, Xiao Ma, Ao Zhou, Mengwei Xu, Shangguang Wang, Yun Ma, Xuanzhe Liu，A Comprehensive Benchmark of Deep Learning Libraries on Mobile Devices，Proc. ACM WWW 2022.
  60. Dongqi Cai, Qipeng Wang, Yuanqiang Liu, Yunxin Liu, Shangguang Wang, Mengwei Xu, Towards ubiquitous learning: A first measurement of on-device training performance, Proceedings of the 5th International Workshop on Embedded and Mobile Deep Learning, 2021, https://dl.acm.org/doi/abs/10.1145/3469116.3470009.
  61. Shangguang Wang, Qing Li, Mengwei Xu, Xiao Ma, Ao Zhou, Qibo Sun, Tiansuan Constellation: An Open Research Platform, Proc. IEEE EDGE 2021, Invited Paper. [PDF]
  62. Qing Li, Shangguang Wang, Xiao Ma, Ao Zhou, Fangchun Yang, Towards Sustainable Satellite Edge Computing, Proc. IEEE EDGE 2021, Best Paper. [PDF]
  63. Mengwei Xu, Zhe Fu, Xiao Ma, Li Zhang, Yanan Li, Feng Qian, Shangguang Wang, Ke Li, Jingyu Yang, Xuanzhe Liu, From Cloud to Edge: A First Look at Public Edge Platforms, Proc. ACM IMC 2021.[PDF] [Dataset]
  64. Y. Guo, S. Wang, Challenges and Opportunities in Space Service Computing, Proc. SCC 2021.[PDF]
  65. A. Zhou, S. Li, S. Wang, Task Offloading and Resource Allocation for Container Enabled Mobile Edge Computing, Proc. IEEE SCC 2021, Best Paper. [PDF]
  66. Xiaobin Xu, Hui Zhao, Chang Liu, Cunqun Fan, Zhongjun liang, Shangguang Wang, On the Aggregated Resource Management for Satellite Edge Computing, Proc. IEEE ICC 2021. [PDF]
  67. Bo Wei, Hang Song, Shangguang Wang, Jiro Katto, Performance Analysis of Adaptive Bitrate Algorithms for Multi-user DASH Video Streaming, Proc. IEEE WCNC 2021.
  68. Chuntao Ding, Ao Zhou, Xiao Ma, Shangguang Wang, Cognitive Service in Mobile Edge Computing, Proc. IEEE ICWS 2020.[PDF]
  69. 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.
  70. Xiao Ma, Ao Zhou, Shan Zhang, Shangguang Wang, Cooperative Service Caching and Workload Scheduling in Mobile Edge Computing, Proc.IEEE INFOCOM 2020.[PDF]
  71. Songtai Dai, Ao Zhou, Shangguang Wang, The Performance Evaluation of Virtual Machine Placement Algorithm Based on WebCloudSim. Proc. IEEE CLOUD 2018: 950-953
  72. Yuanzhe Li, Shangguang Wang, An Energy-Aware Edge Server Placement Algorithm in Mobile Edge Computing. Proc. IEEE EDGE 2018: 66-73[Sourcecode]
  73. 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
  74. 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
  75. 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.
  76. 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.
  77. 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.
  78. 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.
  79. 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.
  80. 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.
  81. 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]
  82. 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]
  83. 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]](../assets/
  84. 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]
  85. Yan Guo, Shangguang Wang. Skyline Service Selection based on QoS Prediction.IEEE Cluster, poster paper, 2016 [PDF]
  86. Jinliang Xu, Shangguang Wang, Ao Zhou, Fangchun Yang. Machine Status Prediction for Dynamic and Heterogenous Cloud Environment. IEEE Cluster, poster paper, 2016 [PDF]
  87. 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.
  88. Tao Lei, Shangguang Wang, Jinglin Li, Fangchun Yang, A Cooperative Route Choice Approach via Virtual Vehicle in Internet of Vehicles. Proc. IOV 2016, pp. 194-205. Best Student Paper
  89. 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]](../assets/Personalized%20Service%20Recommendation>
  90. 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]](../assets/Towards%20Video%20Quality%20of%20Experience%20and%20Selective%20Atten>
  91. 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
  92. 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.
  93. 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]
  94. 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]
  95. 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]
  96. 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.
  97. 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.[Sourcecode]
  98. 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.
  99. 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)
  100. 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]
  101. 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.
  102. 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)
  103. 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 [YouTube] [China-YouKu]
  104. 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.[YouTube] [[China-YouKu]](http://v.youku.com/v_show/id_XNzA3NDY3OTUy>
  105. 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.
  106. 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.
  107. 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.
  108. 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]

Journal Paper

Published in , 1900

  1. Tao Qi, Jinhua Yin, Dongqi Cai, Yueqi Xie, Huili Wang, Zhiyang Hu, Peiru Yang, Guoshun Nan, Zhili Zhou, Chuhan Wu, Lingjuan Lyu, Shangguang Wang, Yongfeng Huang, Nicholas D. Lane, Auditing Unauthorized Training Data from AI Generated Content using Information Isotopes, Nature Communications, 2026.
  2. Dongqi Cai, Shangguang Wang, Chen Peng, Zeling Zhang, Zhenyan Lu, Tao Qi, Nicholas D. Lane, Mengwei Xu, Ubiquitous Memory Augmentation via Mobile Multimodal Embedding System, Nature Communications, 2025. [Sourcecode] [Dataset1] [Dataset2]
  3. Yijie Chen, Qiyang Zhang, Xiao Ma, Ruolin Xing, Shangguang Wang. SLICE: Energy-Efficient Satellite-Ground Co-Inference via Layer-Wise Scheduling Optimization. IEEE Transactions on Services Computing, vol. 18, no. 4, pp. 2388–2402, 2025. DOI: 10.1109/TSC.2025.3577451.
  4. Lipei Yang, Ao Zhou, Xiao Ma, Yiran Zhang, Qintang Chen, Shangguang Wang. Flexible Shadow: Resource-Efficient Reliability for Edge Intelligence. IEEE Transactions on Services Computing, Online publication, 2025. DOI: 10.1109/TSC.2025.3617091.
  5. Tianshi Wang, Yiran Zhang, Ao Zhou, Shangguang Wang. An RDMA Congestion Control Enhancement Framework for Data Center Networks. IEEE Internet of Things Journal, 2025.
  6. Hongyan Wang, Qibo Sun, Shangguang Wang. A Survey on the Optimization of Age of Information in Wireless Network. International Journal of Web and Grid Services, 2023, 19(1): 1-33.
  7. Jie Huang, Sisi Li, Lipei Yang, Jianing Si, Xiao Ma, Shangguang Wang. Multi-Participant Double Auction for Resource Allocation and Pricing in Edge Computing. IEEE Internet of Things Journal, 2023, 11(8): 14007-14016.
  8. Shangguang Wang, Qiyang Zhang, Ruolin Xing, Fei Qi, Mengwei Xu. The First Verification Test of Space-Ground Collaborative Intelligence via Cloud-Native Satellites. China Communications, 2024, 21(4): 208-217.
  9. 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, 23(9): 8999-9011.
  10. Jie Huang, Sisi Li, Lipei Yang, Jianing Si, Xiao Ma, Shangguang Wang. Multiparticipant Double Auction for Resource Allocation and Pricing in Edge Computing. IEEE Internet of Things Journal, 2024, 11(8): 14007-14016.
  11. Hongyan Wang, Qing Li, Qibo Sun, Xiao Ma, Shangguang Wang. Online Request Replication for Obtaining Fresh Information Under Pull Model. IEEE Internet of Things Journal, 2024, 11(16): 27864-27875.
  12. Lipei Yang, Ao Zhou, Xiao Ma, Yiran Zhang, Shangguang Wang. Reliability-Aware Task Replication for Mobile Edge Computing. IEEE Internet of Things Journal, 2024, 11(14): 24846-24857.
  13. Chen Yang, Qibo Sun, Qiyang Zhang, Hao Lu, Claudio A. Ardagna, Shangguang Wang, Mengwei Xu. Towards Efficient Satellite Computing System Through Adaptive Compression. IEEE Transactions on Services Computing, early access.
  14. Chao Wang, Xiao Ma, Ruolin Xing, Sisi Li, Ao Zhou, Shangguang Wang. Delay- and Resource-Aware Satellite UPF Service Optimization. IEEE Transactions on Mobile Computing, early access.
  15. Yanan Li, Xiao Ma, Zhe Fu, Ao Zhou, Mengwei Xu, Shangguang Wang. Rethinking Cost-Efficient VM Scheduling on Public Edge Platforms: A Service Provider’s Perspective. IEEE Transactions on Mobile Computing, early access.
  16. Yanan Li, Penghong Zhao, Xiao Ma, Haitao Yuan, Zhe Fu, Mengwei Xu, Shangguang Wang. A Collaborative Cloud-Edge Approach for Robust Edge Workload Forecasting. IEEE Transactions on Mobile Computing, early access.
  17. Qian Li, Jianxin Li, Jia Wu, Xutan Peng, Cheng Ji, Hao Peng, Lihong Wang, Philip S. Yu. Triplet-aware graph neural networks for factorized multi-modal knowledge graph entity alignment. Neural Networks, 2024, 179: 106479.
  18. Mengwei Xu, Dongqi Cai, Wangsong Yin, Shangguang Wang, Xin Jin, Xuanzhe Liu. Resource-efficient Algorithms and Systems of Foundation Models: A Survey. ACM Computing Surveys, just accepted.
  19. Jinfeng Wen, Zhenpeng Chen, Federica Sarro, Shangguang Wang. Unveiling overlooked performance variance in serverless computing. Empirical Software Engineering, 2025, 30(59): 1-26.
  20. Jinfeng Wen, Zhenpeng Chen, Jianshu Zhao, Federica Sarro, Haodi Ping, Ying Zhang, Shangguang Wang, Xuanzhe Liu. SCOPE: Performance testing for serverless computing. ACM Transactions on Software Engineering and Methodology, early access.
  21. Qiyang Zhang, Shangguang Wang, Jinglong Guan, Praveen Kumar Donta, Xiao Ma, RangaRao Venkatesha Prasad, Schahram Dustdar, Xuanzhe Liu. SatCooper: Enhancing Cooperative Inference Analytics for Satellite Service via Multi-exit DNNs. IEEE Transactions on Mobile Computing, early access.
  22. Minxiao Chen, Haitao Yuan, Nan Jiang, Zhihan Zheng, Zhifeng Bao, Ao Zhou, Jiaxin Jiang, Shangguang Wang. S-MGHSTN: Towards An Effective Streaming Traffic Accident Risk Prediction Framework. IEEE Transactions on Knowledge and Data Engineering, 2025, 37(7).
  23. Dongqi Cai, Shangguang Wang, Chen Peng, Zeling Zhang, Zhenyan Lu, Tao Qi, Nicholas Lane, Mengwei Xu. Ubiquitous memory augmentation via mobile multimodal embedding system. Nature Communications, 2025, 16(1).
  24. 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.
  25. 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
  26. 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
  27. 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.
  28. 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
  29. 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
  30. 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.
  31. 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.
  32. 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.
  33. 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
  34. 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
  35. 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
  36. S. Wang, Q. Li, Satellite Computing: Vision and Challenges, IEEE Internet of Things Journal, 2023, https://ieeexplore.ieee.org/document/10213423 [PDF]
  37. 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/
  38. 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
  39. 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.
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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]](https://github.com/knightlea/Request_Scheduling_f>
  45. 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]
  46. 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
  47. 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
  48. 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]
  49. 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.
  50. 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]
  51. 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]
  52. 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]
  53. 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]
  54. 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]
  55. 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]
  56. 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.
  57. 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]
  58. 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]
  59. 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]
  60. 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]
  61. 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]
  62. 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]
  63. 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].
  64. 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].
  65. 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.
  66. 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].
  67. 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
  68. 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.
  69. 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]
  70. 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/
  71. 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].
  72. 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].
  73. 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]
  74. 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.
  75. 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]
  76. 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
  77. 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.
  78. 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]
  79. 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/
  80. 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.
  81. 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
  82. 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]
  83. 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.
  84. 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]
  85. 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]](../_pa>
  86. 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/.
  87. 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]](../proje>
  88. 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.
  89. 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.
  90. 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.
  91. 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.
  92. 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.
  93. 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.
  94. 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]
  95. 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]
  96. 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]
  97. 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]
  98. 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]
  99. 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]
  100. 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
  101. Chuntao Ding，Shangguang Wang*. Appropriate Points Choosing for Subspace Learning over Image Classification. Journal of Supercomputing, 75(2): 688-703, 2019. [PDF]
  102. 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]
  103. 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).
  104. 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.
  105. 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]
  106. 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]](../assets/TCC2567392%20Using%20Proactive%20Fault-Tolerance%20Approach%20to%20Enhance%20Cloud%20Service%>
  107. 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
  108. 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]
  109. 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]
  110. 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.
  111. 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.
  112. 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.
  113. Di Lu, Chuntao Ding, Jinliang Xu and Shangguang Wang. Hierarchical Discriminant Analysis, Sensors, 2018, 18(1), 279.
  114. 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.
  115. 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.
  116. 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
  117. 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.
  118. 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]
  119. 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]
  120. 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]
  121. 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
  122. Jinliang Xu, Shangguang Wang, Fangchun Yang, Jie Tang，Multiple User Context Inference by Fusing Data Sources，https://arxiv.org/abs/1703.04215，2017.
  123. Jinliang Xu, Shangguang Wang, Fangchun Yang, Rong N. Chang, Cognitive Inference of Demographic Data by User Ratings, https://arxiv.org/abs/1703.04216, 2017.
  124. 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]
  125. 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]](../assets/Cloud%20Service%20Reliability%20Enh>
  126. 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]
  127. 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
  128. 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
  129. 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]
  130. 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]
  131. 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]](../assets/Provision%20of%20Data-intensive%20Services%20throug>
  132. 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]
  133. 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]
  134. 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]
  135. 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]](../assets/A%20Vertical%20Handoff%20Method%20via%20Self-selection%20Decision%20Tree%20for%20Internet%20of%20Vehicles.pd>
  136. 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]
  137. 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.
  138. 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]
  139. 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]
  140. 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
  141. 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]
  142. 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]
  143. 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]
  144. 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]
  145. 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]](../assets/Offloading%20Mobile%20Data%20Traffic%20for%20QoS-aware%20Service%>
  146. 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]
  147. 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.
  148. 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]](../assets/Reputation%20Measurement%20and%20Malicious%20Feedback%20Rating%20Prevention%20in%20Web%2>
  149. 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]
  150. 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]
  151. 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]
  152. 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]
  153. 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]
  154. 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]](../files/All%20Service%20Selection%20Method%2>
  155. 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]
  156. 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]](../files/X>
  157. 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]
  158. 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]
  159. 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]
  160. 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]
  161. 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.
  162. 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.
  163. 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
  164. 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]
  165. 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.
  166. 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.
  167. 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.
  168. 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
  169. 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]
  170. 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.
  171. 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]
  172. 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.
  173. 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.
  174. 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

Chinese papers

Published in , 1900

  1. 王尚广, 王超, 马骁, 邢若粼, 周傲. 星载6G核心网架构与网元功能设计及验证. 电信科学. (国家自然科学基金：No.62032003, No.62372061, No.U21B2016; 深圳市科技计划资助项目：KJZD20230928112759002; 北邮博创基金：CX20242013)
  2. 张其阳, 邢若粼, 李元哲, 周傲, 徐梦炜, 王尚广. 卫星边缘计算智能化技术研究进展. 软件学报. (国家自然科学基金：No.62032003, No.62372061, No.62425203, No.U21B2016; 中央高校基本科研业务费专项资金：2024ZCJH11)
  3. 蔡栋琪, 王尚广, 张泽凌, 马骁, 徐梦炜. 面向微控制单元的高效语音隐私保护编码器. 电子学报. (国家重点研发计划：No.62032003, No.U21B2016; 中国科协青年人才托举工程：No.2023QNRC001)
  4. 王超, 任蒙, 王尚广. 基于INT感知的5G核心网用户面流量调度系统. 通信学报. (国家自然科学基金资助项目：No.62032003, No.U21B2016)
  5. 鲁宁, 张俊伟, 马建峰, 程庆丰, 张嘉伟, 王尚广. 联盟模式下高效单包溯源方法研究. 软件学报, 2020, 31(12): 3880-3908.
  6. 鲁宁, 张嘉伟, 马建峰, 丛鑫, 史闻博, 王尚广. 可扩展性增强的动态确定包标记溯源方法. 计算机学报, 2019: 1-22.
  7. 鲁宁, 张俊伟, 马建峰, 程庆丰, 张嘉伟, 王尚广. 联盟模式下高效单包溯源方法研究. 软件学报, 2019: 1-25.
  8. 张俊娜, 王尚广*, 孙其博, 杨放春. SLA感知的事务型组合服务容错方法. 软件学报, 2018, 29(12): 3614-363.
  9. 鲁宁, 王尚广*, 李峰, 史闻博, 杨放春. 可动态扩展的高效单包溯源方法. 软件学报, 2018, 29(11): 320-340.
  10. 鲁宁, 王尚广, 李峰, 史闻博, 杨放春. 一种高精度、低开销的单包溯源方法. 软件学报, 2017, 28(10): 2737-2756.
  11. 张俊娜, 王尚广*, 孙其博, 杨放春. 融合网络环境下快速可靠的服务组合容错方法. 软件学报, 2016. [PDF]
  12. 马友, 王尚广* 孙其博, 邹华, 杨放春. 一种综合考虑主客观权重的Web服务QoS度量算法. 软件学报, 2014, 25(11): 2473-24853.
  13. 范存群, 王尚广*, 孙其博, 邹华, 杨放春. 基于认知自选择决策树的垂直切换方法研究. 通信学报, 2013, 34(11): 71-80.
  14. 范存群, 王尚广, 孙其博, 邹华, 杨放春. 车联网中基于贝叶斯决策的垂直切换方法研究. 通信学报, 2013, (7): 34-41.
  15. 范存群, 王尚广*, 孙其博, 王红熳, 张光卫, 杨放春. 基于能量监测的传感器信任评估方法研究. 电子学报, 2013, 41(4): 646-651.
  16. 王尚广*, 孙其博, 杨放春. 基于云模型的不确定性QoS感知的Skyline服务选择. 软件学报, 2012, 23(6): 1397-1412.
  17. 王尚广*, 孙其博, 杨放春. Web服务选择中信誉度评估方法研究. 软件学报, 2012, 23(6): 1350-1367.
  18. 王尚广*, 孙其博, 杨放春. 基于全局QoS约束分解的Web服务动态选择. 软件学报, 2011, 22(7): 1426-1439.
  19. 王尚广*, 孙其博, 杨放春. IMS 网络中的SIP 洪泛攻击检测. 软件学报, 2011, 22(4): 761-772.
  20. 王红艳, 孙其博, 周傲, 王尚广. 边缘辅助实时应用中的动态感知任务调度. 通信学报, 2024, 45(6): 144-159.

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.