Minghui Hu
Orcid: 0000-0002-3658-0890Affiliations:
- Nanyang Technological University, Singapore, Singapore
According to our database1,
Minghui Hu
authored at least 29 papers
between 2003 and 2024.
Collaborative distances:
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Bibliography
2024
LiDAR-Based End-to-End Active SLAM Using Deep Reinforcement Learning in Large-Scale Environments.
IEEE Trans. Veh. Technol., October, 2024
MMoT: Mixture-of-Modality-Tokens Transformer for Composed Multimodal Conditional Image Synthesis.
Int. J. Comput. Vis., September, 2024
TFormer: A time-frequency Transformer with batch normalization for driver fatigue recognition.
Adv. Eng. Informatics, 2024
Noise Elimination in Deep Random Vector Functional Link Network for Tabular Classification.
Proceedings of the International Joint Conference on Neural Networks, 2024
Wind Speed Forecasting Using an Ensemble Deep Random Vector Functional Link Neural Network Based on Parsimonious Channel Mixing.
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
Online dynamic ensemble deep random vector functional link neural network for forecasting.
Neural Networks, September, 2023
IEEE Robotics Autom. Lett., June, 2023
IEEE Trans. Syst. Man Cybern. Syst., May, 2023
Eng. Appl. Artif. Intell., 2023
Significant wave height forecasting using hybrid ensemble deep randomized networks with neurons pruning.
Eng. Appl. Artif. Intell., 2023
One More Step: A Versatile Plug-and-Play Module for Rectifying Diffusion Schedule Flaws and Enhancing Low-Frequency Controls.
CoRR, 2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Locswinunet: A Neural Network for Urban Wireless Localization Using TOA and RSS Radio Maps.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023
Ensemble of Randomized Neural Network and Boosted Trees for Eye-Tracking-Based Driver Situation Awareness Recognition and Interpretation.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Class-Incremental Learning on Multivariate Time Series Via Shape-Aligned Temporal Distillation.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Weighting and pruning based ensemble deep random vector functional link network for tabular data classification.
Pattern Recognit., 2022
Representation learning using deep random vector functional link networks for clustering.
Pattern Recognit., 2022
Automated layer-wise solution for ensemble deep randomized feed-forward neural network.
Neurocomputing, 2022
Experimental evaluation of stochastic configuration networks: Is SC algorithm inferior to hyper-parameter optimization method?
Appl. Soft Comput., 2022
Deep Reservoir Computing Based Random Vector Functional Link for Non-sequential Classification.
Proceedings of the International Joint Conference on Neural Networks, 2022
Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
2003
Proceedings of the IEEE International Conference on Systems, 2003