Minghui Hu

Orcid: 0000-0002-3658-0890

Affiliations:
  • Nanyang Technological University, Singapore, Singapore


According to our database1, Minghui Hu authored at least 24 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Trajectory Consistency Distillation.
CoRR, 2024

2023
Online dynamic ensemble deep random vector functional link neural network for forecasting.
Neural Networks, September, 2023

Versatile LiDAR-Inertial Odometry With SE(2) Constraints for Ground Vehicles.
IEEE Robotics Autom. Lett., June, 2023

Ensemble Deep Random Vector Functional Link Neural Network for Regression.
IEEE Trans. Syst. Man Cybern. Syst., May, 2023

Online learning using deep random vector functional link network.
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

Cocktail: Mixing Multi-Modality Controls for Text-Conditional Image Generation.
CoRR, 2023

MMoT: Mixture-of-Modality-Tokens Transformer for Composed Multimodal Conditional Image Synthesis.
CoRR, 2023

Cocktail: Mixing Multi-Modality Control for Text-Conditional Image Generation.
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

Unified Discrete Diffusion for Simultaneous Vision-Language Generation.
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

Ensemble deep learning: A review.
Eng. Appl. Artif. Intell., 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
Ensemble deep learning: A review.
CoRR, 2021

2020
Adaptive Ensemble Variants of Random Vector Functional Link Networks.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2003
A sequential learning neural network for foreign exchange rate forecasting.
Proceedings of the IEEE International Conference on Systems, 2003


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