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ORCIDQuang Do Vinh 0001
Person information
- affiliation: University of Ulsan, School of Electrical Engineering, Korea
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2020 – today
- 2024
[j8]Tsukumo Fujita
, Aohan Li, Quang Do Vinh, Teppei Otsuka, Seon-Geun Jeong, Won-Joo Hwang, Hiroki Takesue, Kensuke Inaba, Kazuyuki Aihara, Mikio Hasegawa:
Applying Coherent Ising Machines for Enhancing Communication Efficiency in Large-Scale UAV-Aided Networks. IEEE Access 12: 136011-136024 (2024)- [j7]Seon-Geun Jeong, Quang Do Vinh, Won-Joo Hwang:
Short-term photovoltaic power forecasting based on hybrid quantum gated recurrent unit. ICT Express 10(3): 608-613 (2024) - 2023
- [j6]Seon-Geun Jeong, Quang Vinh Do, Hae-Ji Hwang, Mikio Hasegawa, Hiroo Sekiya, Won-Joo Hwang:
Hybrid Quantum Convolutional Neural Networks for UWB Signal Classification. IEEE Access 11: 113726-113739 (2023) - [c2]Hieu Nguyen Doan, Xuan-Tung Nguyen, Quang Do Vinh, Won-Joo Hwang, Sang-Hwa Chung, Jong-Deok Kim:
Graph Neural Network-based Federated Learning for Sum-rate Maximization in Small-cell Wireless Network. SoICT 2023: 243-247 - [i2]Minh-Duong Nguyen, Quang Vinh Do, Zhaohui Yang, Quoc-Viet Pham, Won-Joo Hwang:
Joint Communication and Computation Framework for Goal-Oriented Semantic Communication with Distortion Rate Resilience. CoRR abs/2309.14587 (2023) - 2022
- [j5]Quang Vinh Do, Quoc-Viet Pham, Won-Joo Hwang:
Deep Reinforcement Learning for Energy-Efficient Federated Learning in UAV-Enabled Wireless Powered Networks. IEEE Commun. Lett. 26(1): 99-103 (2022) - [i1]Xuan-Tung Nguyen, Minh-Duong Nguyen, Quoc-Viet Pham, Quang Do Vinh, Won-Joo Hwang:
Resource Allocation for Compression-aided Federated Learning with High Distortion Rate. CoRR abs/2206.06976 (2022) - 2021
- [j4]Quang Do Vinh, Insoo Koo:
Deep Reinforcement Learning Based Dynamic Spectrum Competition in Green Cognitive Virtualized Networks. IEEE Access 9: 52193-52201 (2021) - [j3]Quang Vinh Do, Insoo Koo:
A Transfer Deep Q-Learning Framework for Resource Competition in Virtual Mobile Networks With Energy-Harvesting Base Stations. IEEE Syst. J. 15(1): 319-330 (2021)
2010 – 2019
- 2019
- [j2]Quang Vinh Do, Insoo Koo:
Actor-critic deep learning for efficient user association and bandwidth allocation in dense mobile networks with green base stations. Wirel. Networks 25(8): 5057-5068 (2019) - [c1]Quang Vinh Do, Insoo Koo:
Dynamic Bandwidth Allocation Scheme for Wireless Networks with Energy Harvesting Using Actor-Critic Deep Reinforcement Learning. ICAIIC 2019: 138-142 - 2017
- [j1]Quang Do Vinh, Insoo Koo:
FPGA Implementation of LSB-Based Steganography. J. Inform. and Commun. Convergence Engineering 15(3) (2017)
Coauthor Index
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