Wang, Shangguang
Beijing University of Posts and Telecommunications · Peking University · Tsinghua University
9 papers on CoChatORCID 0000-0001-7245-1298
Most cited papers
- Verified
An overview of Internet of Vehicles
Yang, F., Wang, S., Li, J., Liu, Z., & Sun, Q. (2014) · China Communications
Vehicular Ad Hoc Networks (VANETs)Traffic control and management
Cited by 665
- Verified
Architecture and key technologies for Internet of Vehicles: A survey
Yang, F., Li, J., Lei, T., & Wang, S. (2017) · Journal of Communications and Information Networks
Vehicular Ad Hoc Networks (VANETs)Traffic control and management
Cited by 129
- Verified
A Blockchain-Enabled Trustless Crowd-Intelligence Ecosystem on Mobile Edge Computing
Xu, J., Wang, S., Bhargava, B. K., & Yang, F. (2019) · IEEE Transactions on Industrial Informatics
IoT and Edge/Fog ComputingBlockchain Technology Applications and Security
Cited by 116
- Verified
Air-Ground Integrated Mobile Edge Networks: A Survey
Zhang, W., Li, L., Zhang, N., Han, T., & Wang, S. (2020) · IEEE Access
UAV Applications and OptimizationIoT and Edge/Fog Computing
Cited by 75
- Verified
Survey on QoE Assessment Approach for Network Service
Yang, M., Wang, S., Calheiros, R. N., & Yang, F. (2018) · IEEE Access
Image and Video Quality AssessmentNetwork Traffic and Congestion Control
Cited by 54
- Verified
A Survey of Resource-efficient LLM and Multimodal Foundation Models
Xu, M., Yin, W., Cai, D., Yi, R., Xu, D., Wang, Q., Wu, B., Zhao, Y., Yang, C., Wang, S., et al. (2024) · arXiv
Advanced Neural Network ApplicationsTopic Modeling
Cited by 44
- Verified
Optimized Task Allocation for IoT Application in Mobile-Edge Computing
Liu, J., Liu, C., Wang, B., Gao, G., & Wang, S. (2022) · IEEE Internet of Things Journal
IoT and Edge/Fog ComputingEnergy Efficiency in Computing
Cited by 25
- Verified
TFormer: A Transmission-Friendly ViT Model for IoT Devices
Lu, Z., Ding, C., Juefei-Xu, F., Boddeti, V. N., Wang, S., & Yang, Y. (2023) · IEEE Transactions on Parallel and Distributed Systems
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 24
- Verified
QCSS: A QoE-Aware Control Plane for Adaptive Streaming Service over Mobile Edge Computing Infrastructures
Zhang, L., Wang, S., & Chang, R. N. (2018) · 2018 IEEE International Conference on Web Services (ICWS)
IoT and Edge/Fog ComputingImage and Video Quality Assessment
Cited by 14
Go further with a free account
Verify every reference, keep papers in a library, and ask questions across them.
Sign up - it is free