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Minghui Hu
Minghui Hu
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Verifisert e-postadresse på e.ntu.edu.sg - Startside
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Ensemble deep learning: A review
MA Ganaie, M Hu, AK Malik, M Tanveer, PN Suganthan
Engineering Applications of Artificial Intelligence 115, 105151, 2022
16452022
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
562023
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
422022
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
352022
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
312023
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
302023
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
272022
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
262023
Representation learning using deep random vector functional link networks for clustering
M Hu, PN Suganthan
Pattern Recognition 129, 108744, 2022
262022
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
232022
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
202023
Trajectory consistency distillation
J Zheng*, M Hu*, Z Fan, C Wang, C Ding, D Tao, TJ Cham
arXiv preprint arXiv:2402.19159, 2024
192024
Online learning using deep random vector functional link network
S Shiva, M Hu, PN Suganthan
Engineering Applications of Artificial Intelligence 125, 106676, 2023
142023
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
132024
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
122022
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
72023
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
72020
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
52023
Self-distillation for randomized neural networks
M Hu, R Gao, PN Suganthan
IEEE Transactions on Neural Networks and Learning Systems, 2023
42023
LiDAR-based end-to-end active SLAM using deep reinforcement learning in large-scale environments
J Chen, K Wu, M Hu, PN Suganthan, A Makur
IEEE Transactions on Vehicular Technology, 2024
32024
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Artikler 1–20