Qi Wang

Affiliations:
  • University of Electronic Science and Technology of China, School of Information and Software Engineering, National Key Laboratory of Science and Technology on Communications, Chengdu, China


According to our database1, Qi Wang authored at least 11 papers between 2018 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
An intelligent task offloading algorithm (iTOA) for UAV edge computing network.
Digit. Commun. Networks, 2020

CNN Network for Head Detection with Depth Images in cyber-physical systems.
Proceedings of the 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2020

Joint QoS Control and Bitrate Selection for Video Streaming based on Multi-agent Reinforcement Learning.
Proceedings of the 16th IEEE International Conference on Control & Automation, 2020

A Survey of Depth Estimation Based on Computer Vision.
Proceedings of the 5th IEEE International Conference on Data Science in Cyberspace, 2020

2019
iRAF: A Deep Reinforcement Learning Approach for Collaborative Mobile Edge Computing IoT Networks.
IEEE Internet Things J., 2019

Constrained Deep Neural Network Based Hybrid Beamforming for Millimeter Wave Massive MIMO Systems.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

iABR: An Intelligent Joint Adaptive Bitrate Selection and Communication Resource Allocation in F-RAN.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

An Intelligent Task Offloading Algorithm (iTOA) for UAV Network.
Proceedings of the 2019 IEEE Globecom Workshops, Waikoloa, HI, USA, December 9-13, 2019, 2019

2018
Intelligent Parking Management System Design from a Mobile Edge Computing (MEC) Perspective.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

Energy-Efficient Architecture for FPGA-based Deep Convolutional Neural Networks with Binary Weights.
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018

Low Cost LSTM Implementation based on Stochastic Computing for Channel State Information Prediction.
Proceedings of the 2018 IEEE Asia Pacific Conference on Circuits and Systems, 2018


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