A sequential learning neural network for foreign exchange rate forecasting. - Minghui Hu 001; P. Saratchandran; Narasimhan Sundararajan (SMC, 2003)

Adaptive Ensemble Variants of Random Vector Functional Link Networks. - Minghui Hu 001; Qiushi Shi; Ponnuthurai N. Suganthan; Muhammad Tanveer 001 (ICONIP (5), 2020)

Ensemble deep learning: A review. - Mudasir Ahmad Ganaie; Minghui Hu 001; Mohammad Tanveer 001; Ponnuthurai N. Suganthan (CoRR, 2021)

Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation. - Minghui Hu 001; Yujie Wang; Tat-Jen Cham; Jianfei Yang; Ponnuthurai N. Suganthan (CVPR, 2022)

Deep Reservoir Computing Based Random Vector Functional Link for Non-sequential Classification. - Minghui Hu 001; Ruobin Gao; Ponnuthurai N. Suganthan (IJCNN, 2022)

Experimental evaluation of stochastic configuration networks: Is SC algorithm inferior to hyper-parameter optimization method? - Minghui Hu 001; Ponnuthurai N. Suganthan (Appl. Soft Comput., 2022)

Ensemble deep learning: A review. - M. A. Ganaie 001; Minghui Hu 001; Ashwani Kumar Malik; Muhammad Tanveer 001; Ponnuthurai N. Suganthan (Eng. Appl. Artif. Intell., 2022)

Automated layer-wise solution for ensemble deep randomized feed-forward neural network. - Minghui Hu 001; Ruobin Gao; Ponnuthurai N. Suganthan; Muhammad Tanveer 001 (Neurocomputing, 2022)

Representation learning using deep random vector functional link networks for clustering. - Minghui Hu 001; Ponnuthurai N. Suganthan (Pattern Recognit., 2022)

Weighting and pruning based ensemble deep random vector functional link network for tabular data classification. - Qiushi Shi; Minghui Hu 001; Ponnuthurai Nagaratnam Suganthan; Rakesh Katuwal (Pattern Recognit., 2022)

Class-Incremental Learning on Multivariate Time Series Via Shape-Aligned Temporal Distillation. - Qiao ZhongZheng; Minghui Hu 001; Xudong Jiang 001; Ponnuthurai Nagaratnam Suganthan; Savitha Ramasamy (ICASSP, 2023)

Unified Discrete Diffusion for Simultaneous Vision-Language Generation. - Minghui Hu 001; Chuanxia Zheng; Zuopeng Yang; Tat-Jen Cham; Heliang Zheng; Chaoyue Wang; Dacheng Tao; Ponnuthurai N. Suganthan (ICLR, 2023)

Ensemble of Randomized Neural Network and Boosted Trees for Eye-Tracking-Based Driver Situation Awareness Recognition and Interpretation. - Ruilin Li 001; Minghui Hu 001; Jian Cui 001; Lipo Wang; Olga Sourina (ICONIP (3), 2023)

Locswinunet: A Neural Network for Urban Wireless Localization Using TOA and RSS Radio Maps. - Minghui Hu 001; Saihua Xu; Qinglai Liu; Mayur Katwe; Chau Yuen; Sirajudeen Gulam Razul (MLSP, 2023)

Cocktail: Mixing Multi-Modality Control for Text-Conditional Image Generation. - Minghui Hu 001; Jianbin Zheng; Daqing Liu; Chuanxia Zheng; Chaoyue Wang; Dacheng Tao; Tat-Jen Cham (NeurIPS, 2023)

Cocktail: Mixing Multi-Modality Controls for Text-Conditional Image Generation. - Minghui Hu 001; Jianbin Zheng; Daqing Liu; Chuanxia Zheng; Chaoyue Wang; Dacheng Tao; Tat-Jen Cham (CoRR, 2023)

Significant wave height forecasting using hybrid ensemble deep randomized networks with neurons pruning. - Ruobin Gao; Ruilin Li 001; Minghui Hu 001; Ponnuthurai Nagaratnam Suganthan; Kum Fai Yuen (Eng. Appl. Artif. Intell., 2023)

Online learning using deep random vector functional link network. - Sreenivasan Shiva; Minghui Hu 001; Ponnuthurai Nagaratnam Suganthan (Eng. Appl. Artif. Intell., 2023)

Ensemble Deep Random Vector Functional Link Neural Network for Regression. - Minghui Hu 001; Jet Herng Chion; Ponnuthurai Nagaratnam Suganthan; Rakesh Katuwal (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Versatile LiDAR-Inertial Odometry With SE(2) Constraints for Ground Vehicles. - Jiaying Chen; Han Wang 014; Minghui Hu 001; Ponnuthurai Nagaratnam Suganthan (IEEE Robotics Autom. Lett., 2023)

Online dynamic ensemble deep random vector functional link neural network for forecasting. - Ruobin Gao; Ruilin Li 001; Minghui Hu 001; Ponnuthurai N. Suganthan; Kum Fai Yuen (Neural Networks, 2023)

One More Step: A Versatile Plug-and-Play Module for Rectifying Diffusion Schedule Flaws and Enhancing Low-Frequency Controls. - Minghui Hu 001; Jianbin Zheng; Chuanxia Zheng; Chaoyue Wang; Dacheng Tao; Tat-Jen Cham (CVPR, 2024)

Connecting Consistency Distillation to Score Distillation for Text-to-3D Generation. - Zongrui Li 001; Minghui Hu 001; Qian Zheng; Xudong Jiang 001 (ECCV (43), 2024)

Wind Speed Forecasting Using an Ensemble Deep Random Vector Functional Link Neural Network Based on Parsimonious Channel Mixing. - Ruke Cheng; Ruobin Gao; Minghui Hu 001; Ponnuthurai Nagaratnam Suganthan; Kum Fai Yuen (IJCNN, 2024)

Noise Elimination in Deep Random Vector Functional Link Network for Tabular Classification. - Minghui Hu 001; Ruilin Li 001; Ruobin Gao; Ponnuthurai N. Suganthan (IJCNN, 2024)

TFormer: A time-frequency Transformer with batch normalization for driver fatigue recognition. - Ruilin Li 001; Minghui Hu 001; Ruobin Gao; Lipo Wang; Ponnuthurai N. Suganthan; Olga Sourina (Adv. Eng. Informatics, 2024)

Trajectory Consistency Distillation. - Jianbin Zheng; Minghui Hu 001; Zhongyi Fan; Chaoyue Wang; Changxing Ding; Dacheng Tao; Tat-Jen Cham (CoRR, 2024)

Incremental Online Learning of Randomized Neural Network with Forward Regularization. - Junda Wang; Minghui Hu 001; Ning Li; Abdulaziz K. Al-Ali; Ponnuthurai Nagaratnam Suganthan (CoRR, 2024)

MMoT: Mixture-of-Modality-Tokens Transformer for Composed Multimodal Conditional Image Synthesis. - Jianbin Zheng; Daqing Liu; Chaoyue Wang; Minghui Hu 001; Zuopeng Yang; Changxing Ding; Dacheng Tao (Int. J. Comput. Vis., 2024)

LiDAR-Based End-to-End Active SLAM Using Deep Reinforcement Learning in Large-Scale Environments. - Jiaying Chen; Keyu Wu 002; Minghui Hu 001; Ponnuthurai Nagaratnam Suganthan; Anamitra Makur (IEEE Trans. Veh. Technol., 2024)

Self-Distillation for Randomized Neural Networks. - Minghui Hu 001; Ruobin Gao; Ponnuthurai Nagaratnam Suganthan (IEEE Trans. Neural Networks Learn. Syst., 2024)

Semantix: An Energy-guided Sampler for Semantic Style Transfer. - Huiang He; Minghui Hu 001; Chuanxia Zheng; Chaoyue Wang; Tat-Jen Cham (ICLR, 2025)

Stacked Ensemble Deep Random Vector Functional Link Network With Residual Learning for Medium-Scale Time-Series Forecasting. - Ruobin Gao; Minghui Hu 001; Ruilin Li 001; Xuewen Luo; Ponnuthurai Nagaratnam Suganthan; Muhammad Tanveer 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Bayesian forward regularization replacing Ridge in online randomized neural network with multiple output layers. - Junda Wang; Minghui Hu 001; Ning Li; Ponnuthurai Nagaratnam Suganthan (Pattern Recognit., 2026)