A hierarchical intrusion detection model based on the PCA neural networks G Liu, Z Yi, S Yang Neurocomputing 70 (7-9), 1561-1568, 2007 | 216 | 2007 |
Collaborative computation offloading and resource allocation in multi-UAV-assisted IoT networks: A deep reinforcement learning approach AM Seid, GO Boateng, S Anokye, T Kwantwi, G Sun, G Liu IEEE Internet of Things Journal 8 (15), 12203-12218, 2021 | 157 | 2021 |
Consensus mechanism for blockchain-enabled vehicle-to-vehicle energy trading in the internet of electric vehicles HN Abishu, AM Seid, YH Yacob, T Ayall, G Sun, G Liu IEEE Transactions on Vehicular Technology 71 (1), 946-960, 2021 | 95 | 2021 |
Autonomous resource provisioning and resource customization for mixed traffics in virtualized radio access network G Sun, K Xiong, GO Boateng, D Ayepah-Mensah, G Liu, W Jiang IEEE Systems Journal 13 (3), 2454-2465, 2019 | 81 | 2019 |
Autonomous resource slicing for virtualized vehicular networks with D2D communications based on deep reinforcement learning G Sun, GO Boateng, D Ayepah-Mensah, G Liu, J Wei IEEE systems journal 14 (4), 4694-4705, 2020 | 62 | 2020 |
Resource slicing and customization in RAN with dueling deep Q-network G Sun, K Xiong, GO Boateng, G Liu, W Jiang Journal of Network and Computer Applications 157, 102573, 2020 | 59 | 2020 |
Training-based gradient LBP feature models for multiresolution texture classification L Ji, Y Ren, G Liu, X Pu IEEE Transactions on Cybernetics 48 (9), 2683-2696, 2017 | 52 | 2017 |
DeepSecure: Detection of distributed denial of service attacks on 5G network slicing—Deep learning approach NAE Kuadey, GT Maale, T Kwantwi, G Sun, G Liu IEEE Wireless Communications Letters 11 (3), 488-492, 2021 | 44 | 2021 |
Blockchain-enabled resource trading and deep reinforcement learning-based autonomous RAN slicing in 5G GO Boateng, D Ayepah-Mensah, DM Doe, A Mohammed, G Sun, G Liu IEEE Transactions on Network and Service Management 19 (1), 216-227, 2021 | 41 | 2021 |
Consortium blockchain-based spectrum trading for network slicing in 5G RAN: A multi-agent deep reinforcement learning approach GO Boateng, G Sun, DA Mensah, DM Doe, R Ou, G Liu IEEE Transactions on Mobile Computing, 2022 | 36 | 2022 |
Detection of microaneurysms in fundus images based on an attention mechanism L Zhang, S Feng, G Duan, Y Li, G Liu Genes 10 (10), 817, 2019 | 33 | 2019 |
Direction-sensitive relation extraction using bi-sdp attention model H Wang, K Qin, G Lu, G Luo, G Liu Knowledge-Based Systems 198, 105928, 2020 | 31 | 2020 |
Human-Level Control Through Directly Trained Deep Spiking -Networks G Liu, W Deng, X Xie, L Huang, H Tang IEEE Transactions on Cybernetics, 2022 | 28 | 2022 |
An efficient supervised training algorithm for multilayer spiking neural networks X Xie, H Qu, G Liu, M Zhang, J Kurths PloS one 11 (4), e0150329, 2016 | 28 | 2016 |
Median local ternary patterns optimized with rotation-invariant uniform-three mapping for noisy texture classification L Ji, Y Ren, X Pu, G Liu Pattern Recognition 79, 387-401, 2018 | 27 | 2018 |
A deep learning approach for insulator instance segmentation and defect detection E Antwi-Bekoe, G Liu, JP Ainam, G Sun, X Xie Neural Computing and Applications 34 (9), 7253-7269, 2022 | 26 | 2022 |
Intrusion detection using PCASOM neural networks G Liu, Z Yi International Symposium on Neural Networks, 240-245, 2006 | 26 | 2006 |
Revised reinforcement learning based on anchor graph hashing for autonomous cell activation in cloud-RANs G Sun, T Zhan, BG Owusu, AM Daniel, G Liu, W Jiang Future Generation Computer Systems 104, 60-73, 2020 | 24 | 2020 |
Efficient training of supervised spiking neural networks via the normalized perceptron based learning rule X Xie, H Qu, G Liu, M Zhang Neurocomputing 241, 152-163, 2017 | 23 | 2017 |
Computing k shortest paths using modified pulse-coupled neural network G Liu, Z Qiu, H Qu, L Ji Neurocomputing 149, 1162-1176, 2015 | 23 | 2015 |