Minghui Hu

45 papers A* 5B 5Misc 1Journal 30Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bayesian forward regularization replacing Ridge in online randomized neural network with multiple output layers.
Pattern Recognit.
Junda Wang, Minghui Hu, Ning Li, Ponnuthurai Nagaratnam Suganthan
2026 J jnl
Incremental Online Learning of Randomized Neural Network With Forward Regularization.
IEEE Trans. Pattern Anal. Mach. Intell.
Junda Wang, Minghui Hu, Ning Li, Abdulaziz Alali, Ponnuthurai Nagaratnam Suganthan
2026 J jnl
Monocular Normal Estimation via Shading Sequence Estimation.
CoRR
Zongrui Li, Xinhua Ma, Minghui Hu, Yunqing Zhao, Yingchen Yu, Qian Zheng, Chang Liu, Xudong Jiang, Song Bai
2025 B conf
Discontinuous Parsimony Embedding Empowered Transformer for Shipping Market Forecasting.
IJCNN
Ruobin Gao, Zicheng Wang, Minghui Hu, Maohan Liang, Ponnuthurai Nagaratnam Suganthan
2025 J jnl
Randomized Neural Network with Adaptive Forward Regularization for Online Task-free Class Incremental Learning.
CoRR
Junda Wang, Minghui Hu, Ning Li, Abdulaziz Khalid Al-Ali, Ponnuthurai Nagaratnam Suganthan
2025 J jnl
Semantix: An Energy Guided Sampler for Semantic Style Transfer.
CoRR
Huiang He, Minghui Hu, Chuanxia Zheng, Chaoyue Wang, Tat-Jen Cham
2025 A* conf
Semantix: An Energy-guided Sampler for Semantic Style Transfer.
ICLR
Huiang He, Minghui Hu, Chuanxia Zheng, Chaoyue Wang, Tat-Jen Cham
2025 J jnl
Stacked Ensemble Deep Random Vector Functional Link Network With Residual Learning for Medium-Scale Time-Series Forecasting.
IEEE Trans. Neural Networks Learn. Syst.
Ruobin Gao, Minghui Hu, Ruilin Li, Xuewen Luo, Ponnuthurai Nagaratnam Suganthan, Muhammad Tanveer
2024 — conf
Connecting Consistency Distillation to Score Distillation for Text-to-3D Generation.
ECCV (43)
Zongrui Li, Minghui Hu, Qian Zheng, Xudong Jiang
2024 J jnl
Connecting Consistency Distillation to Score Distillation for Text-to-3D Generation.
CoRR
Zongrui Li, Minghui Hu, Qian Zheng, Xudong Jiang
2024 J jnl
Incremental Online Learning of Randomized Neural Network with Forward Regularization.
CoRR
Junda Wang, Minghui Hu, Ning Li, Abdulaziz K. Al-Ali, Ponnuthurai Nagaratnam Suganthan
2024 J jnl
LiDAR-Based End-to-End Active SLAM Using Deep Reinforcement Learning in Large-Scale Environments.
IEEE Trans. Veh. Technol.
Jiaying Chen, Keyu Wu, Minghui Hu, Ponnuthurai Nagaratnam Suganthan, Anamitra Makur
2024 J jnl
MMoT: Mixture-of-Modality-Tokens Transformer for Composed Multimodal Conditional Image Synthesis.
Int. J. Comput. Vis.
Jianbin Zheng, Daqing Liu, Chaoyue Wang, Minghui Hu, Zuopeng Yang, Changxing Ding, Dacheng Tao
2024 B conf
Noise Elimination in Deep Random Vector Functional Link Network for Tabular Classification.
IJCNN
Minghui Hu, Ruilin Li, Ruobin Gao, Ponnuthurai N. Suganthan
2024 A* conf
One More Step: A Versatile Plug-and-Play Module for Rectifying Diffusion Schedule Flaws and Enhancing Low-Frequency Controls.
CVPR
Minghui Hu, Jianbin Zheng, Chuanxia Zheng, Chaoyue Wang, Dacheng Tao, Tat-Jen Cham
2024 J jnl
Self-Distillation for Randomized Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Minghui Hu, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan
2024 J jnl
TFormer: A time-frequency Transformer with batch normalization for driver fatigue recognition.
Adv. Eng. Informatics
Ruilin Li, Minghui Hu, Ruobin Gao, Lipo Wang, Ponnuthurai N. Suganthan, Olga Sourina
2024 J jnl
Trajectory Consistency Distillation.
CoRR
Jianbin Zheng, Minghui Hu, Zhongyi Fan, Chaoyue Wang, Changxing Ding, Dacheng Tao, Tat-Jen Cham
2024 J jnl
Versatile LiDAR-Inertial Odometry With SE (2) Constraints for Ground Vehicles.
CoRR
Jiaying Chen, Han Wang, Minghui Hu, Ponnuthurai Nagaratnam Suganthan
2024 B conf
Wind Speed Forecasting Using an Ensemble Deep Random Vector Functional Link Neural Network Based on Parsimonious Channel Mixing.
IJCNN
Ruke Cheng, Ruobin Gao, Minghui Hu, Ponnuthurai Nagaratnam Suganthan, Kum Fai Yuen
2023 Misc conf
Class-Incremental Learning on Multivariate Time Series Via Shape-Aligned Temporal Distillation.
ICASSP
Qiao ZhongZheng, Minghui Hu, Xudong Jiang, Ponnuthurai Nagaratnam Suganthan, Savitha Ramasamy
2023 A* conf
Cocktail: Mixing Multi-Modality Control for Text-Conditional Image Generation.
NeurIPS
Minghui Hu, Jianbin Zheng, Daqing Liu, Chuanxia Zheng, Chaoyue Wang, Dacheng Tao, Tat-Jen Cham
2023 J jnl
Cocktail: Mixing Multi-Modality Controls for Text-Conditional Image Generation.
CoRR
Minghui Hu, Jianbin Zheng, Daqing Liu, Chuanxia Zheng, Chaoyue Wang, Dacheng Tao, Tat-Jen Cham
2023 J jnl
Ensemble Deep Random Vector Functional Link Neural Network for Regression.
IEEE Trans. Syst. Man Cybern. Syst.
Minghui Hu, Jet Herng Chion, Ponnuthurai Nagaratnam Suganthan, Rakesh Katuwal
2023 — conf
Ensemble of Randomized Neural Network and Boosted Trees for Eye-Tracking-Based Driver Situation Awareness Recognition and Interpretation.
ICONIP (3)
Ruilin Li, Minghui Hu, Jian Cui, Lipo Wang, Olga Sourina
2023 — conf
Locswinunet: A Neural Network for Urban Wireless Localization Using TOA and RSS Radio Maps.
MLSP
Minghui Hu, Saihua Xu, Qinglai Liu, Mayur Katwe, Chau Yuen, Sirajudeen Gulam Razul
2023 J jnl
MMoT: Mixture-of-Modality-Tokens Transformer for Composed Multimodal Conditional Image Synthesis.
CoRR
Jianbin Zheng, Daqing Liu, Chaoyue Wang, Minghui Hu, Zuopeng Yang, Changxing Ding, Dacheng Tao
2023 J jnl
One More Step: A Versatile Plug-and-Play Module for Rectifying Diffusion Schedule Flaws and Enhancing Low-Frequency Controls.
CoRR
Minghui Hu, Jianbin Zheng, Chuanxia Zheng, Chaoyue Wang, Dacheng Tao, Tat-Jen Cham
2023 J jnl
Online dynamic ensemble deep random vector functional link neural network for forecasting.
Neural Networks
Ruobin Gao, Ruilin Li, Minghui Hu, Ponnuthurai N. Suganthan, Kum Fai Yuen
2023 J jnl
Online learning using deep random vector functional link network.
Eng. Appl. Artif. Intell.
Sreenivasan Shiva, Minghui Hu, Ponnuthurai Nagaratnam Suganthan
2023 J jnl
Significant wave height forecasting using hybrid ensemble deep randomized networks with neurons pruning.
Eng. Appl. Artif. Intell.
Ruobin Gao, Ruilin Li, Minghui Hu, Ponnuthurai Nagaratnam Suganthan, Kum Fai Yuen
2023 A* conf
Unified Discrete Diffusion for Simultaneous Vision-Language Generation.
ICLR
Minghui Hu, Chuanxia Zheng, Zuopeng Yang, Tat-Jen Cham, Heliang Zheng, Chaoyue Wang, Dacheng Tao, Ponnuthurai N. Suganthan
2023 J jnl
Versatile LiDAR-Inertial Odometry With SE(2) Constraints for Ground Vehicles.
IEEE Robotics Autom. Lett.
Jiaying Chen, Han Wang, Minghui Hu, Ponnuthurai Nagaratnam Suganthan
2022 J jnl
Automated layer-wise solution for ensemble deep randomized feed-forward neural network.
Neurocomputing
Minghui Hu, Ruobin Gao, Ponnuthurai N. Suganthan, Muhammad Tanveer
2022 B conf
Deep Reservoir Computing Based Random Vector Functional Link for Non-sequential Classification.
IJCNN
Minghui Hu, Ruobin Gao, Ponnuthurai N. Suganthan
2022 J jnl
Ensemble deep learning: A review.
Eng. Appl. Artif. Intell.
M. A. Ganaie, Minghui Hu, Ashwani Kumar Malik, Muhammad Tanveer, Ponnuthurai N. Suganthan
2022 J jnl
Experimental evaluation of stochastic configuration networks: Is SC algorithm inferior to hyper-parameter optimization method?
Appl. Soft Comput.
Minghui Hu, Ponnuthurai N. Suganthan
2022 A* conf
Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation.
CVPR
Minghui Hu, Yujie Wang, Tat-Jen Cham, Jianfei Yang, Ponnuthurai N. Suganthan
2022 J jnl
Representation learning using deep random vector functional link networks for clustering.
Pattern Recognit.
Minghui Hu, Ponnuthurai N. Suganthan
2022 J jnl
Unified Discrete Diffusion for Simultaneous Vision-Language Generation.
CoRR
Minghui Hu, Chuanxia Zheng, Heliang Zheng, Tat-Jen Cham, Chaoyue Wang, Zuopeng Yang, Dacheng Tao, Ponnuthurai N. Suganthan
2022 J jnl
Weighting and pruning based ensemble deep random vector functional link network for tabular data classification.
Pattern Recognit.
Qiushi Shi, Minghui Hu, Ponnuthurai Nagaratnam Suganthan, Rakesh Katuwal
2021 J jnl
Ensemble deep learning: A review.
CoRR
Mudasir Ahmad Ganaie, Minghui Hu, Mohammad Tanveer, Ponnuthurai N. Suganthan
2021 J jnl
Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation.
CoRR
Minghui Hu, Yujie Wang, Tat-Jen Cham, Jianfei Yang, Ponnuthurai N. Suganthan
2020 — conf
Adaptive Ensemble Variants of Random Vector Functional Link Networks.
ICONIP (5)
Minghui Hu, Qiushi Shi, Ponnuthurai N. Suganthan, Muhammad Tanveer
2003 B conf
A sequential learning neural network for foreign exchange rate forecasting.
SMC
Minghui Hu, P. Saratchandran, Narasimhan Sundararajan