| Classification of COVID-19 chest X-Ray and CT images using a type of dynamic CNN modification method G Jia, HK Lam, Y Xu Computers in biology and medicine 134, 104425, 2021 | 138 | 2021 |
| MANet: A two-stage deep learning method for classification of COVID-19 from Chest X-ray images Y Xu, HK Lam, G Jia Neurocomputing 443, 96-105, 2021 | 82 | 2021 |
| Classification of electromyographic hand gesture signals using machine learning techniques G Jia, HK Lam, J Liao, R Wang Neurocomputing 401, 236-248, 2020 | 73 | 2020 |
| Classification of electromyographic hand gesture signals using modified fuzzy C-means clustering and two-step machine learning approach G Jia, HK Lam, S Ma, Z Yang, Y Xu, B Xiao IEEE Transactions on Neural Systems and Rehabilitation Engineering 28 (6 …, 2020 | 56 | 2020 |
| Depth estimation of hard inclusions in soft tissue by autonomous robotic palpation using deep recurrent neural network B Xiao, W Xu, J Guo, HK Lam, G Jia, W Hong, H Ren IEEE Transactions on Automation Science and Engineering 17 (4), 1791-1799, 2020 | 53 | 2020 |
| Channel assignment in uplink wireless communication using machine learning approach G Jia, Z Yang, HK Lam, J Shi, M Shikh-Bahaei IEEE Communications Letters 24 (4), 787-791, 2020 | 27 | 2020 |
| Variable weight algorithm for convolutional neural networks and its applications to classification of seizure phases and types G Jia, HK Lam, K Althoefer Pattern Recognition 121, 108226, 2022 | 25 | 2022 |
| Improving COVID-19 CT classification of CNNs by learning parameter-efficient representation Y Xu, HK Lam, G Jia, J Jiang, J Liao, X Bao Computers in Biology and Medicine 152, 106417, 2023 | 23 | 2023 |
| Function perturbation of mix-valued logical networks with impacts on limit sets G Jia, M Meng, J Feng Neurocomputing 207, 428-436, 2016 | 19 | 2016 |
| Further results for pinning stabilization of Boolean networks G Jia, M Meng, J Lam, J Feng IEEE Transactions on Control of Network Systems 8 (2), 897-905, 2020 | 17 | 2020 |
| Machine learning for predictive deployment of UAVs with rate splitting multiple access L Lu, Y Hu, Y Zhang, G Jia, J Nie, M Shikh-Bahaei 2020 IEEE Globecom Workshops (GC Wkshps, 1-6, 2020 | 13 | 2020 |
| Optimization of resource allocation in multi-cell OFDM systems: A distributed reinforcement learning approach Y Hu, M Chen, Z Yang, M Chen, G Jia 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile …, 2020 | 11 | 2020 |
| A case study on computer-aided diagnosis of nonerosive reflux disease using deep learning techniques J Liao, HK Lam, G Jia, S Gulati, J Bernth, D Poliyivets, Y Xu, H Liu, ... Neurocomputing 445, 149-166, 2021 | 8 | 2021 |
| A joint communication and federated learning framework for internet of things networks Z Yang, G Jia, M Chen, HK Lam, KK Wong, S Cui, HV Poor 2021 IEEE Global Communications Conference (GLOBECOM), 1-6, 2021 | 7 | 2021 |
| Large receptive field strategy and important feature extraction strategy in 3D object detection L Cui, X Li, M Meng, G Jia arXiv preprint arXiv:2401.11913, 2024 | | 2024 |
| A Framework of Robust Congestion Mitigation with Traffic Estimation, Split Ratio Optimisation and Path Planning G Jia, B Kong, L Yang, Y Zhang, J Zeng, C Li, Y Zhu, J Zhang 2023 IEEE International Conference on Communications Workshops (ICC …, 2023 | | 2023 |
| Deep Learning Frameworks with Applications in Medical Signal and Image Classification G Jia King's College London, 2021 | | 2021 |
HK Lam, Hak Keung LamDepartment of Engineering, King's College LondonVerified email at kcl.ac.uk
