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Minghui Hu
Minghui Hu
Verified email at e.ntu.edu.sg - Homepage
Title
Cited by
Cited by
Year
Ensemble deep learning: A review
MA Ganaie, M Hu, AK Malik, M Tanveer, PN Suganthan
Engineering Applications of Artificial Intelligence 115, 105151, 2022
9132022
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
332023
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
272022
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
202022
Representation learning using deep random vector functional link networks for clustering
M Hu, PN Suganthan
Pattern Recognition 129, 108744, 2022
192022
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
182022
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
172023
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
152023
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
142022
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
102023
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
82022
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
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
52020
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
32023
Versatile LiDAR-inertial odometry with SE (2) constraints for ground vehicles
J Chen, H Wang, M Hu, PN Suganthan
IEEE Robotics and Automation Letters, 2023
32023
Online learning using deep random vector functional link network
S Shiva, M Hu, PN Suganthan
Engineering Applications of Artificial Intelligence 125, 106676, 2023
22023
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
22022
Mmot: Mixture-of-modality-tokens transformer for composed multimodal conditional image synthesis
J Zheng, D Liu, C Wang, M Hu, Z Yang, C Ding, D Tao
International Journal of Computer Vision, 1-29, 2024
12024
Trajectory Consistency Distillation
J Zheng, M Hu, Z Fan, C Wang, C Ding, D Tao, TJ Cham
arXiv preprint arXiv:2402.19159, 2024
12024
Ensemble of Randomized Neural Network and Boosted Trees for Eye-Tracking-Based Driver Situation Awareness Recognition and Interpretation
R Li, M Hu, J Cui, L Wang, O Sourina
International Conference on Neural Information Processing, 500-511, 2023
12023
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