Shangguang Wang

Shangguang Wang

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

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Posts

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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, Proc. USENIX ATC 2024.
  2. Li Zhang, Shangguang Wang, Mengwei Xu, High-density Mobile Cloud Gaming on Edge SoC Clusters, Proc. USENIX ATC 2024.
  3. 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.
  4. 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.
  5. 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.
  6. Weiwei Gao, Ao Zhou, Jianing Tang, Yuanzhe Li, Shangguang Wang, Delay- and Cost-Aware Dynamic Service Migration in Collaborative Satellite Computing, Proc. CollaborateCom 2024.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.

Journal Paper

Published in , 1900

  1. Z. Shen, J. Jin, C. Tan, A. Tagami, S. Wang, Q. Li, Q. Zheng, and J. Yuan, “A Survey of Next-generation Computing Technologies in Space-air-ground Integrated Networks,” ACM Computing Surveys, vol. 56, no. 1, pp.1-40, 2024.
  2. Qing Li, Shangguang Wang*, Xiao Ma, Ao Zhou, Yue Wang, Xuanzhe Liu, Gang Huang, Battery-Aware Energy Optimization for Satellite Edge Computing, IEEE Transactions on Services Computing, 2024, https://ieeexplore.ieee.org/document/10415570
  3. Chen Yang, Jinliang Yuan, Yaozong Wu, Qibo Sun, Ao Zhou, Shangguang Wang, Mengwei Xu, Communication-Efficient Satellite-Ground Federated Learning through Progressive Weight Quantization, IEEE Transactions on Mobile Computing, 2024, https://ieeexplore.ieee.org/document/10415259
  4. Zichuan Xu, Guangyuan Xu, Hao Wang, Weifa Liang, Qiufen Xia, Shangguang Wang, Enabling Streaming Analytics in Satellite Edge Computing via Timely Evaluation of Big Data Queries, IEEE Transactions on Parallel and Distributed Systems, 2024,35(1): 105-122.
  5. Yang Yang, Lei Feng, Yao Sun, Yangyang Li, Fanqin Zhou, Wenjing Li, Shangguang Wang, Decentralized Cooperative Caching and Offloading for Virtual Reality Task Based on GAN-Powered Multi-Agent Reinforcement Learning, IEEE Transactions on Services Computing, 2024,17(1): 291-305
  6. Yi Zhang, Peiying Zhang, Chunxiao Jiang, Shangguang Wang, Hongxia Zhang, Chunming Rong, QoS Aware Virtual Network Embedding in Space-Air-Ground-Ocean Integrated Network, IEEE Transactions on Services Computing, 2024, https://ieeexplore.ieee.org/document/10414013
  7. Kai Peng, Peiyun Xiaom, Shangguang Wang, Victor C. M. Leung, AoI-Aware Partial Computation Offloading in IIoT With Edge Computing: A Deep Reinforcement Learning Based Approach, IEEE Transactions on Cloud Computing, 2023,11(4):3766-3777.
  8. Xiaobin Xu, Qi Wang, Yanzhao Hou, Shangguang Wang, AI-SPACE: A Cloud-Edge Aggregated Artificial Intelligent Architecture for Tiansuan Constellation-Assisted Space-Terrestrial Integrated Networks, IEEE Network, 2023, 37(2): 22-28.
  9. Junna Zhang, Guoxian Zhang, Xiang Bao, Chuntao Ding, Peiyan Yuan, Xinglin Zhang, Shangguang Wang, Dependent Application Offloading in Edge Computing, IEEE Transactions on Cloud Computing, 2023,11(4): 3439-3451.
  10. Qiyang Zhang, Xiangying Che, Yijie Chen, Xiao Ma, Mengwei Xu, Schahram Dustdar, Xuanzhe Liu, Shangguang Wang, A Comprehensive Deep Learning Library Benchmark and Optimal Library Selection, IEEE Transactions on Mobile Computing, 2023, https://ieeexplore.ieee.org/document/10209228
  11. Yuanzhe Li, Shangguang Wang, Yuanchun Li, Ao Zhou, Mengwei Xu, Xiao Ma, Yunxin Liu, Seamless Cross-Edge Service Migration for Real-Time Rendering Applications, IEEE Transactions on Mobile Computing, 2023, ttps://ieeexplore.ieee.org/document/10314778
  12. Lijun Sun, Mingzhi Liu, Jiachen Guo, Xu Yu, Shangguang Wang, Deep Reinforcement Learning Empowered Resource Allocation in Vehicular Fog Computing, IEEE Transactions on Vehicular Technology, 2023, https://ieeexplore.ieee.org/document/10339872
  13. S. Wang, Q. Li, Satellite Computing: Vision and Challenges, IEEE Internet of Things Journal, 2023, https://ieeexplore.ieee.org/document/10213423 [PDF]
  14. Shangguang Wang, Yan Guo, Xiao Liu, Ao Zhou, Service Routing in Multi-tier Edge Computing: A Matching Game Approach, IEEE Journal on Selected Areas in Communications, 2022, https://ieeexplore.ieee.org/document/9996397/
  15. Jinliang Yuan, Mengwei Xu, Yuxin Zhao, Kaigui Bian, Gang Huang, Xuanzhe Liu, Shangguang Wang, Resource-Aware Federated Neural Architecture Search over Heterogeneous Mobile Devices, IEEE Transactions on Big Data, 2022, https://ieeexplore.ieee.org/document/9973344
  16. Ao Zhou, Xiao Ma, Siyi Gao, Shangguang Wang, Providing Reliable Service for Parked-vehicle-assisted Mobile Edge Computing, ACM Transactions on Internet Technology,2022,22(4), pp.1-14.
  17. Zhichao Lu, Chuntao Ding, Juefei-Xu Felix, Vishnu Naresh Boddeti, Shangguang Wang, Yun Yang, TFormer: A Transmission-Friendly ViT Model for IoT Devices, IEEE Transactions on Parallel and Distributed Systems, 2022, https://ieeexplore.ieee.org/document/9954278
  18. Ruolin Xing, Xiao Ma, Ao Zhou, Schahram Dustdar, Shangguang Wang, From Earth to Space: A First Deployment of 5G Core Network on Satellite, China Communications, 2022, https://arxiv.org/abs/2210.05405
  19. C. Ding, Y. Li, Z. Lu, S. Wang and S. Guo, A Resource-Efficient Feature Extraction Framework for Image Processing in IoT Devices, IEEE Transactions on Mobile Computing, 2022, https://ieeexplore.ieee.org/document/9933707
  20. Ao Zhou, Sisi Li, Xiao Ma, Shangguang Wang*, Service-Oriented Resource Allocation for Blockchain-Empowered Mobile Edge Computing, IEEE Journal on Selected Areas in Communications, 2022, https://ieeexplore.ieee.org/document/9915530
  21. Haojiang Liu, Yuanzhe Li, Shangguang Wang, Request Scheduling Combined with Load Balancing in Mobile Edge Computing, IEEE Internet of Things Journal, 2022, https://ieeexplore.ieee.org/document/9779350, [Edge Computing Dateset] [Sourecode]
  22. Qing Li, Xiao Ma, Ao Zhou, Changhee Joo, Shangguang Wang*, Online Service Request Duplicating for Vehicular Applications, IEEE Transactions on Mobile Computing, 2022, https://ieeexplore.ieee.org/document/9705147 [PDF] [Sourcecode]
  23. Ying Wang, Naling Li, Peng Yu, Wenjing Li, Xuesong Qiu, Shangguang Wang, Mohamed Cheriet, Intelligent and Collaborative Orchestration of Network Slices, IEEE Transactions on Services Computing, 2022, https://ieeexplore.ieee.org/document/9793722
  24. Ao Zhou, Xiao Ma, Siyi Gao, Shangguang Wang, Providing Reliable Service for Parked Vehicle Assisted Mobile Edge Computing, ACM Transactions on Internet Technology, 2022, https://doi.org/10.1145/3514242
  25. Qing Li, Xiao Ma, Ao Zhou, Xiapu Luo, Fangchun Yang, Shangguang Wang, User-Oriented Edge Node Grouping in Mobile Edge Computing, IEEE Transactions on Mobile Computing, 2021, https://ieeexplore.ieee.org/document/9667295[PDF] [Sourcecode]
  26. Chao Wang, Lei Liu, Chunxiao Jiang, Shangguang Wang, Peiying Zhang, Shigen Shen, Incorporating Distributed DRL into Storage Resource Optimization of Space-Air-Ground Integrated Wireless Communication Network, IEEE Journal of Selected Topics in Signal Processing, 2021, https://ieeexplore.ieee.org/document/9653840.
  27. Jie Huang, Ao Zhou, Shangguang Wang, Price-aware Service Deployment in Hierarchical Mobile Edge Computing, IEEE Internet of Things Journal, 2021, https://ieeexplore.ieee.org/document/9626145[PDF] [Sourcecode]
  28. Ran Zhang, Jiang Liu, Fangqi Liu, Tao Huang, Qinqin Tang, Shangguang Wang, F. Richard Yu, Buffer-Aware Virtual Reality Video Streaming with Personalized and Private Viewport Prediction, IEEE Journal on Selected Areas in Communications, 2021, https://ieeexplore.ieee.org/document/9567690 [PDF]
  29. Xiao Ma, Ao Zhou, Shan Zhang, Qing Li, Alex X. Liu, Shangguang Wang*, Dynamic Task Scheduling in Cloud-Assisted Mobile Edge Computing, IEEE Transactions on Mobile Computing, 2021, https://ieeexplore.ieee.org/document/9547734. [PDF]
  30. Chuntao Ding , Ao Zhou , Xiao Ma , Ning Zhang, Ching-Hsien Hsu ,Shangguang Wang*, Towards Diversified IoT Image Recognition Services in Mobile Edge Computing, IEEE Transactions on Cloud Computing, 2021, https://ieeexplore.ieee.org/document/9528942 [PDF]
  31. Raza Salman, Wang Shangguang*, Manzoor, Ahmed Anwar, Muhammad Rizwan, Mirza, Muhammad Ayzed, Khan Wali Ullah, Task Offloading and Resource Allocation for IoV using 5G NR-V2X Communication, IEEE Internet of Things Journal, https://ieeexplore.ieee.org/document/9583590, 2021 [PDF]
  32. Y. Guo, Q. Li, Y. Li, N. Zhang, S. Wang*, Service Coordination in Space-Air-Ground Integrated Network, IEEE Network，https://ieeexplore.ieee.org/document/9606832, 2021. [PDF]
  33. Xiaobin Xu, Hui Zhao, Chang Liu, Qi Wang, Shangguang Wang, Resource management of GEO relays for real-time remote sensing,Peer-to-Peer Networking and Applications, 14(5): 3333-3348，2021.
  34. Yuanzhe Li, Xiao Ma, Mengwei Xu, Ao Zhou, Qibo Sun, Ning Zhang, Shangguang Wang, Joint Placement of UPF and Edge Server for 6G Network, IEEE Internet of Things Journal, 2021, https://ieeexplore.ieee.org/document/9475439 [PDF]
  35. Qibo Sun, Jinliang Xu, Xiao Ma, Ao Zhou, Ching-Hsien Hsu, Shangguang Wang, Edge-Enabled Distributed Deep Learning for 5G Privacy Protection, IEEE Network, https://ieeexplore.ieee.org/abstract/document/9474931 [PDF]
  36. Qing Li, Shangguang Wang, Xiao Ma, Qibo Sun, Houpeng Wang, Suzhi Cao, Fangchun Yang, Service Coverage for Satellite Edge Computing, IEEE Internet of Things Journal, 2021, https://ieeexplore.ieee.org/document/9444334 [PDF] [Sourcecode]
  37. Yuanzhe Li, Ao Zhou, Xiao Ma, Shangguang Wang, Profit-aware Edge Server Placement, IEEE Internet of Things Journal, 2021, https://ieeexplore.ieee.org/document/9442389 [PDF] [Sourcecode]
  38. Jialei Liu, Chunhong Liu, Bo Wang, Guowei Gao, Shangguang Wang*, Optimized Task Allocation for IoT Application in Mobile Edge Computing, IEEE Internet of Things Journal, 2021, https://ieeexplore.ieee.org/document/9462411 [PDF]
  39. Muhammad Rizwan Anwar, Shangguang Wang*, Muhammad Faisal Akram, Salman Raza, Shahid Mahmood, 5G Enabled MEC: A Distributed Traffic Steering for Seamless Service Migration of Internet of Vehicles, IEEE Internet of Things Journal, 2021, https://ieeexplore.ieee.org/document/9444339 [PDF]
  40. Xiao Ma, Ao Zhou, Qibo Sun, Shangguang Wang, Freshness-aware Information Update and Computation Offloading in Mobile Edge Computing, IEEE Internet of Things Journal, 2021, https://ieeexplore.ieee.org/document/9437303 [PDF].
  41. Y. Li, J. Huang, Q. Sun, T. Sun, S.Wang*, Cognitive Service Architecture for 6G Core Network, IEEE Transactions on Industrial Informatics, 2021,https://ieeexplore.ieee.org/document/9369127 [PDF].
  42. X. Liu, S. Wang, Y. Ma, Y. Zhang, Q. Mei, Y. Liu, G. Huang, Operating Systems for Resource-adaptive Intelligent Software: Challenges and Opportunities. ACM Transactions on Internet Technoloy, 21(2):1-19, 2021.
  43. C.Ding, A. Zhou, L. Liu, X. Ma, S. Wang, Resource-aware Feature Extraction in Mobile Edge Computing, IEEE Transactions on Mobile Computing, 2020, https://ieeexplore.ieee.org/document/9134931 [PDF].
  44. Meng Wang, Bo Cheng, Shangguang Wang, Junliang Chen, Availability- and Traffic-aware Placement of Parallelized SFC in Data Center Networks, IEEE Transactions on Network and Service Management, 2020, https://ieeexplore.ieee.org/document/9327494
  45. Xiaobin Xu, Hui Zhao, Haipeng Yao, Shangguang Wang. A Blockchain-enabled Energy Efficient Data Collection System for UAV-assisted IoT. IEEE Internet of Things Journa, 8(4): 2431-2443, 2021.
  46. Q. Li, S. Wang*, A. Zhou, X. Ma, A. Liu, F.Yang, QoS Driven Task Offloading with Statistical Guarantee in Mobile Edge Computing, IEEE Transactions on Mobile Computing, 2020, https://ieeexplore.ieee.org/document/9123603 [PDF]
  47. Wen Zhang, Longzhuang Li, Ning Zhang, Tao Han, Shangguang Wang, Air-Ground Integrated Mobile Edge Networks: A Survey, IEEE Access, 2020, https://ieeexplore.ieee.org/document/9137644/
  48. Liang Tian, Mingzhe Yang, Shangguang Wang, An Overview of Compute First Networking, International Journal of Web and Grid Services, 2020, https://www.inderscience.com/info/ingeneral/forthcoming.php?jcode=ijwgs, [PDF].
  49. Jinliang Xu, Xiao Ma, Ao Zhou, Qiang Duan, Shangguang Wang, Path Selection for Seamless Service Migration in Vehicular Edge Computing, IEEE Internet of Things Journal, 2020, https://ieeexplore.ieee.org/document/9109315. [PDF] [Sourcecode].
  50. Chuntao Ding, Ao Zhou, Yunxin Liu, Rong N. Chang, Ching-Hsien Hsu, Shangguang Wang*, A Cloud-Edge Collaboration Framework for Cognitive Service, IEEE Transactions on Cloud Computing, 2020, https://ieeexplore.ieee.org/abstract/document/9099432 [PDF]
  51. Xuan Liu, Bo Cheng, Shangguang Wang, Junliang Chen, Joint Availability Enhancement and Traffic Optimization of Virtual Cluster Allocation in Cloud Datacenters, IEEE Transactions on Network and Service Management, 2020, Vol.17, No.2, pp.972-985.
  52. J. Xu，S. Wang*，A. Zhou，F. Yang，Edgence: A Blockchain-enabled Edge-computing Platform for Intelligent IoT-based dApps, China Communications, 2020, no.4, 1-9.[PDF]
  53. Qiang Duan, Shangguang Wang, Nirwan Ansari, Convergence of Networking and Cloud/Edge Computing: Status, Challenges, and Opportunities, IEEE Network, 2020，https://ieeexplore.ieee.org/document/9108989
  54. H. Wang, Y. Li, A. Zhou, Y. Guo and S. Wang, Service Migration in Mobile Edge Computing: A Deep Reinforcement Learning Approach, International Journal of Communication Systems, 2020, https://onlinelibrary.wiley.com/doi/full/10.1002/dac.4413?af=R.
  55. Yujiong Liu, Shangguang Wang*, Qinglin Zhao, Shiyu Du, Ao Zhou, Xiao Ma, Fangchun Yang, Dependency-Aware Task Scheduling in Vehicular Edge Computing. IEEE Internet of Things Journal, https://ieeexplore.ieee.org/document/8985313/, 2020, [PDF]
  56. X. Liu, B. Cheng, S. Wang, Availability-aware and Energy-efficient Virtual Cluster Allocation Based on Multi-objective Optimization in Cloud Datacenters, IEEE Transactions on Network and Service Management, 2020, https://ieeexplore.ieee.org/document/9006914/
  57. J. Liu, S. Wang*, A. Zhou, J. Xu, and F. Yang, “SLA-driven container consolidation with usage prediction for green cloud computing,” Frontiers of Computer Science, 1, vol. 14, pp. 42-52, 2020.
  58. A. Zhou, S. G. Wang, S. H. Wan, and L. Y. Qi, “LMM: latency-aware micro-service mashup in mobile edge computing environment,” Neural Computing & Applications.https://link.springer.com/article/10.1007/s00521-019-04693-w . 2020
  59. S. Wang, A. Zhou, M. Yang, L. Sun, C. Hsu, F. Yang. Service Composition in Cyber-Physical-Social Systems. IEEE Transactions on Emerging Topics in Computing, Vol. 8, No.1, pp. 82-91, 2020.[PDF] [Sourcecode]
  60. Ao Zhou, Shangguang Wang*, Xiao Ma, Stephen S. Yau, Towards Service Composition Aware Virtual Machine Migration Approach in the Cloud, IEEE Transactions on Services Computing, https://ieeexplore.ieee.org/document/8941254/, 2019.
  61. Jialei Liu, Shangguang Wang*, Ao Zhou, Fangchun Yang, Rajkumar Buyya. Availability-aware Virtual Cluster Allocation in Bandwidth-Constrained Datacenters. IEEE Transactions on Services Computing, 2020, Vol.13, No.3, pp.425-436.[PDF] [Sourcecode]
  62. Shangguang Wang, Yan Guo, Ning Zhang, Peng Yang, Ao Zhou, and Xuemin (Sherman) Shen, Delay-aware Microservice Coordination in Mobile Edge Computing: A Reinforcement Learning Approach, IEEE Transactions on Mobile Computing, https://ieeexplore.ieee.org/document/8924682, 2019[PDF] [Dataset]
  63. Lanlan Rui, Xushan Chen, Xiaomei Wang, Zhipeng Gao, Xuesong Qiu, Shangguang Wang, Multiservice Reliability Evaluation Algorithm Considering Network Congestion and Regional Failure Based on Petri Net, IEEE Transactions on Services Computing, 2019, https://ieeexplore.ieee.org/document/8911264/.
  64. S. Wang, C. Ding, N. Zhang, X. Liu, A. Zhou, J. Cao, and X. Shen, A Cloud-guided Feature Extraction Approach for Image Retrieval in Mobile Edge Computing, IEEE Transactions on Mobile Computing, https://ieeexplore.ieee.org/document/8851250, 2019[PDF] [MEC Experiment System] [Sourcecode].
  65. X. Liu, X. Xie, S. Wang, J. Liu, D. Yaou, J. Cao, K. Li, Efficient Range Queries for Large-scale Sensor-augmented RFID Systems, ACM/IEEE Transactions on Networking, no.5, vol. 27, pp. 1873-1886, 2019.
  66. Binbin Huang, Zhongjin Li, Peng Tang, Shangguang Wang, Jun Zhao, Haiyang Hu, Wanqing Li, Victor I. Chang，Security modeling and efficient computation offloading for service workflow in mobile edge computing. Future Generation Comper System, vol. 97, pp. 755-774, 2019.
  67. Xiaocui Li, Zhangbing Zhou, Junqi Guo, Shangguang Wang, Junsheng Zhang, Aggregated multi-attribute query processing in edge computing for industrial IoT applications. Computer Networks, vol.151, pp. 114-123, 2019.
  68. Bo Wei, Hang Song, Shangguang Wang, Kenji Kanai, Jiro Katto, Evaluation of Throughput Prediction for Adaptive Bitrate Control Using Trace-Based Emulation. IEEE Access 7: 51346-51356, 2019.
  69. Ming Chen, Yuhua Li, Zhifeng Zhang, Ching-Hsien Hsu, Shangguang Wang, Erratum to: Real-time, large-scale duplicate image detection method based on multi-feature fusion. Journal of Real-Time Image Processing, 16(5): 1881, 2019.
  70. X. Ma, S. Wang, S. Zhang, P. Yang, C. Lin, X. Shen, Cost-Efficient Resource Provisioning for Dynamic Requests in Cloud Assisted Mobile Edge Computing, IEEE Transactions on Cloud Computing, https://ieeexplore.ieee.org/document/8254704, 2019.
  71. J. Xu, S. Wang*, B. K. Bharat, F. Yang, A Blockchain-enabled Trustless Crowd-Intelligence Ecosystem on Mobile Edge Computing, IEEE Transactions on Industrial Informatics, vol.15, no.6, pp. 3538-3547, 2019. [PDF]
  72. Yan Guo, Shangguang Wang*, Ao Zhou, Jinliang Xu, Jie Yuan, Ching-Hsien Hus, User Allocation-aware Edge Cloud Placement in Mobile Edge Computing, Software: Practice and Experienc, vol. 50, no. 5, pp. 489-502, 2020. [PDF] [Sourcecode]
  73. Jinliang Xu, Shangguang Wang*, Ning Zhang, Fangchun Yang, Xuemin Shen, Reward or Penalty: Aligning Incentives of Stakeholders in Crowdsourcing, IEEE Transactions on Mobile Computing, vol. 18, no.4, pp. 974-985, 2019[PDF] [Sourcecode]

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.