| Issue Date | Title | Author(s) |
| 2023 | Class-incremental learning on multivariate time series via shape-aligned temporal distillation | Qiao, Zhongzheng; Hu, Minghui; Jiang, Xudong; Suganthan, Ponnuthurai Nagaratnam; Savitha, Ramasamy |
| 2023 | Cocktail: mixing multi-modality controls for text-conditional image generation | Hu, Minghui; Zheng, Jianbin; Liu, Daqing; Zheng, Chuanxia; Wang, Chaoyue; Tao, Dacheng; Cham, Tat-Jen |
| 2023 | Dynamic ensemble deep echo state network for significant wave height forecasting | Gao, Ruobin; Li, Ruilin; Hu, Minghui; Suganthan, Ponnuthurai Nagaratnam; Yuen, Kum Fai |
| 2022 | Ensemble deep random vector functional link neural network for regression | Hu, Minghui; Chion, Jet Herng; Suganthan, Ponnuthurai Nagaratnam; Katuwal, Rakesh Kumar |
| 2022 | Experimental evaluation of stochastic configuration networks: is SC algorithm inferior to hyper-parameter optimization method? | Hu, Minghui; Suganthan, Ponnuthurai Nagaratnam |
| 2022 | Global context with discrete diffusion in vector quantised modelling for image generation | Hu, Minghui; Wang, Yujie; Cham, Tat-Jen; Yang, Jianfei; Suganthan, Ponnuthurai Nagaratnam |
| 2023 | Online dynamic ensemble deep random vector functional link neural network for forecasting | Gao, Ruobin; Li, Ruilin; Hu, Minghui; Suganthan, P. N.; Yuen, Kum Fai |
| 2023 | Online learning using deep random vector functional link network | Shiva, Sreenivasan; Hu, Minghui; Suganthan, Ponnuthurai Nagaratnam |
| 2022 | Representation learning using deep random vector functional link networks for clustering | Hu, Minghui; Suganthan, Ponnuthurai Nagaratnam |
| 2023 | Self-distillation for randomized neural networks | Hu, Minghui; Gao, Ruobin; Suganthan, Ponnuthurai Nagaratnam |
| 2023 | Significant wave height forecasting using hybrid ensemble deep randomized networks with neurons pruning | Gao, Ruobin; Li, Ruilin; Hu, Minghui; Suganthan, Ponnuthurai Nagaratnam; Yuen, Kum Fai |
| 2019 | Target tracking using deep neural network (DNN) | Hu, Minghui |
| 2023 | UniD3: unified discrete diffusion for simultaneous vision-language generation | Hu, Minghui; Zheng, Chuanxia; Cham, Tat-Jen; Suganthan, Ponnuthurai Nagaratnam; Yang, Zuopeng; Zheng, Heliang; Wang, Chaoyue; Tao, Dacheng |
| 2022 | Weighting and pruning based ensemble deep random vector functional link network for tabular data classification | Shi, Qiushi; Hu, Minghui; Suganthan, Ponnuthurai Nagaratnam; Katuwal, Rakesh |