| Ensemble deep learning: A review MA Ganaie, M Hu, AK Malik, M Tanveer, PN Suganthan Engineering Applications of Artificial Intelligence 115, 105151, 2022 | 1299 | 2022 |
| Dynamic ensemble deep echo state network for significant wave height forecasting R Gao, R Li, M Hu, PN Suganthan, KF Yuen Applied Energy 329, 120261, 2023 | 47 | 2023 |
| Global context with discrete diffusion in vector quantised modelling for image generation M Hu, Y Wang, TJ Cham, J Yang, PN Suganthan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 35 | 2022 |
| Ensemble deep random vector functional link neural network for regression M Hu, JH Chion, PN Suganthan, RK Katuwal IEEE Transactions on Systems, Man, and Cybernetics: Systems 53 (5), 2604-2615, 2022 | 27 | 2022 |
| Significant wave height forecasting using hybrid ensemble deep randomized networks with neurons pruning R Gao, R Li, M Hu, PN Suganthan, KF Yuen Engineering Applications of Artificial Intelligence 117, 105535, 2023 | 26 | 2023 |
| Online dynamic ensemble deep random vector functional link neural network for forecasting R Gao, R Li, M Hu, PN Suganthan, KF Yuen Neural Networks 166, 51-69, 2023 | 25 | 2023 |
| Weighting and pruning based ensemble deep random vector functional link network for tabular data classification Q Shi, M Hu, PN Suganthan, R Katuwal Pattern Recognition 132, 108879, 2022 | 24 | 2022 |
| Representation learning using deep random vector functional link networks for clustering M Hu, PN Suganthan Pattern Recognition 129, 108744, 2022 | 23 | 2022 |
| Automated layer-wise solution for ensemble deep randomized feed-forward neural network M Hu, R Gao, PN Suganthan, M Tanveer Neurocomputing 514, 137-147, 2022 | 21 | 2022 |
| Unified Discrete Diffusion for Simultaneous Vision-Language Generation M Hu, C Zheng, H Zheng, TJ Cham, C Wang, Z Yang, D Tao, ... The Eleventh International Conference on Learning Representations (ICLR), 2023 | 20 | 2023 |
| Cocktail: Mixing Multi-Modality Controls for Text-Conditional Image Generation M Hu, J Zheng, D Liu, C Zheng, C Wang, D Tao, TJ Cham Neural Information Processing Systems (NeurIPS), 2023, 2023 | 14 | 2023 |
| Trajectory consistency distillation J Zheng, M Hu, Z Fan, C Wang, C Ding, D Tao, TJ Cham arXiv preprint arXiv:2402.19159, 2024 | 13 | 2024 |
| Experimental evaluation of stochastic configuration networks: Is SC algorithm inferior to hyper-parameter optimization method? M Hu, PN Suganthan Applied Soft Computing 126, 109257, 2022 | 11 | 2022 |
| Online learning using deep random vector functional link network S Shiva, M Hu, PN Suganthan Engineering Applications of Artificial Intelligence 125, 106676, 2023 | 9 | 2023 |
| Adaptive ensemble variants of random vector functional link networks M Hu, Q Shi, PN Suganthan, M Tanveer Neural Information Processing: 27th International Conference, ICONIP 2020 …, 2020 | 7 | 2020 |
| Versatile LiDAR-inertial odometry with SE (2) constraints for ground vehicles J Chen, H Wang, M Hu, PN Suganthan IEEE Robotics and Automation Letters 8 (6), 3486-3493, 2023 | 6 | 2023 |
| Class-incremental learning on multivariate time series via shape-aligned temporal distillation Z Qiao, M Hu, X Jiang, PN Suganthan, R Savitha ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 3 | 2023 |
| Self-Distillation for Randomized Neural Networks M Hu, R Gao, PN Suganthan IEEE Transactions on Neural Networks and Learning Systems, 2023 | 2 | 2023 |
| Deep reservoir computing based random vector functional link for non-sequential classification M Hu, R Gao, PN Suganthan 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 2 | 2022 |
| TFormer: A time–frequency Transformer with batch normalization for driver fatigue recognition R Li, M Hu, R Gao, L Wang, PN Suganthan, O Sourina Advanced Engineering Informatics 62, 102575, 2024 | 1 | 2024 |
R. Prof. P. N. Suganthan, FIEEE'2015,...KINDI Computing Research, Qatar University (Hon Doc: U of Maribor; BA/MA: Cambridge U, UKVerified email at qu.edu.qa
