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 13 papers
between 2018 and 2024.
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Bibliography
2024
A Novel Convolutional Neural Network for Head Detection and Pose Estimation in Complex Environments from Single-Depth Images.
Cogn. Comput., July, 2024
2023
Hierarchical bidirectional aggregation with prior guided transformer for few-shot segmentation.
Int. J. Multim. Inf. Retr., December, 2023
2020
Digit. Commun. Networks, 2020
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
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
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