Genetic-gnn: Evolutionary architecture search for graph neural networks M Shi, Y Tang, X Zhu, Y Huang, D Wilson, Y Zhuang, J Liu Knowledge-Based Systems 247, 108752, 2022 | 52 | 2022 |
Prognostics with variational autoencoder by generative adversarial learning Y Huang, Y Tang, J VanZwieten IEEE Transactions on Industrial Electronics 69 (1), 856-867, 2021 | 35 | 2021 |
Rotor blade imbalance fault detection for variable-speed marine current turbines via generator power signal analysis JVZ Brittny Freeman, Yufei Tang, Yu Huang Ocean Engineering 223, 2021 | 30 | 2021 |
GAEN: Graph Attention Evolving Networks M Shi, Y Huang, X Zhu, Y Tang, Y Zhuang, J Liu International Joint Conference on Artificial Intelligence (IJCAI-21), 2021 | 23 | 2021 |
Reliable machine prognostic health management in the presence of missing data Y Huang, Y Tang, J VanZwieten, J Liu Concurrency and Computation: Practice and Experience, 2020 | 21 | 2020 |
Grassnet: Graph soft sensing neural networks Y Huang, C Zhang, J Yella, S Petrov, X Qian, Y Tang, X Zhu, S Bom 2021 IEEE International Conference on Big Data (Big Data), 746-756, 2021 | 18 | 2021 |
An adversarial learning approach for machine prognostic health management Y Huang, Y Tang, J VanZwieten, J Liu, X Xiao 2019 International Conference on High Performance Big Data and Intelligent …, 2019 | 16 | 2019 |
Physics-informed turbulence intensity infusion: A new hybrid approach for marine current turbine rotor blade fault detection JVZ Brittny Freeman, Yufei Tang, Yu Huang Ocean Engineering 254, 2022 | 15 | 2022 |
Physics-Informed Tensor-Train ConvLSTM for Volumetric Velocity Forecasting of the Loop Current Y Huang, Y Tang, H Zhuang, J VanZwieten, L Cherubin Frontiers in Artificial Intelligence 4 (2021), 197, 2021 | 15* | 2021 |
Soft sensing transformer: hundreds of sensors are worth a single word C Zhang, J Yella, Y Huang, X Qian, S Petrov, A Rzhetsky, S Bom 2021 IEEE International Conference on Big Data (Big Data), 1999-2008, 2021 | 14 | 2021 |
Soft-sensing conformer: A curriculum learning-based convolutional transformer J Yella, C Zhang, S Petrov, Y Huang, X Qian, AA Minai, S Bom 2021 IEEE International Conference on Big Data (Big Data), 1990-1998, 2021 | 13 | 2021 |
Soft sensing model visualization: Fine-tuning neural network from what model learned X Qian, C Zhang, J Yella, Y Huang, MC Huang, S Bom 2021 IEEE International Conference on Big Data (Big Data), 1900-1908, 2021 | 11 | 2021 |
WEC fault modelling and condition monitoring: A graph‐theoretic approach Y Tang, Y Huang, E Lindbeck, S Lizza, J VanZwieten, N Tom, W Yao IET Electric Power Applications 14 (5), 781-788, 2020 | 11 | 2020 |
Remaining useful life estimation of hydrokinetic turbine blades using power signal Y Huang, Y Tang, J VanZwieten, G Jiang, T Ding 2019 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2019 | 8 | 2019 |
Mashup tag completion with attention-based topic model M Shi, Y Tang, Y Huang, M Lin Service Oriented Computing and Applications 15, 43-54, 2021 | 7 | 2021 |
Deep Learning Based Multi-Label Attack Detection for Distributed Control of AC Microgrids SM Mohiuddin, J Qi, S Fung, Y Huang, Y Tang 2021 IEEE International Conference on Communications, Control, and Computing …, 2021 | 6 | 2021 |
Physics-coupled spatio-temporal active learning for dynamical systems Y Huang, Y Tang, X Zhu, H Zhuang, L Cherubin IEEE Access 10, 112909-112920, 2022 | 5 | 2022 |
St-pcnn: Spatio-temporal physics-coupled neural networks for dynamics forecasting Y Huang, J Li, M Shi, H Zhuang, X Zhu, L Chérubin, J VanZwieten, Y Tang arXiv preprint arXiv:2108.05940, 2021 | 5 | 2021 |
Real-Time Vertical Path Planning Using Model Predictive Control for an Autonomous Marine Current Turbine A Hasankhani, Y Tang, Y Huang, J Van Zwieten 2022 IEEE Conference on Control Technology and Applications (CCTA), 1166-1171, 2022 | 4 | 2022 |
IEEE BigData 2021 Cup: Soft sensing at scale S Petrov, C Zhang, J Yella, Y Huang, X Qian, S Bom 2021 IEEE International Conference on Big Data (Big Data), 5780-5785, 2021 | 3 | 2021 |