Minghui Hu

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 18

Top Topics

Multivariate Time Series

Image Generation

Online Learning

Top Venues

Eng. Appl. Artif. Intell.

IEEE Robotics Autom. Lett.

Publications

Jiaying Chen, Han Wang, Minghui Hu, Ponnuthurai Nagaratnam Suganthan
Versatile LiDAR-Inertial Odometry With SE (2) Constraints for Ground Vehicles. CoRR (2024)
Jianbin Zheng, Minghui Hu, Zhongyi Fan, Chaoyue Wang, Changxing Ding, Dacheng Tao, Tat-Jen Cham
Trajectory Consistency Distillation. CoRR (2024)
Zongrui Li, Minghui Hu, Qian Zheng, Xudong Jiang
Connecting Consistency Distillation to Score Distillation for Text-to-3D Generation. CoRR (2024)
Ruilin Li, Minghui Hu, Ruobin Gao, Lipo Wang, Ponnuthurai N. Suganthan, Olga Sourina
TFormer: A time-frequency Transformer with batch normalization for driver fatigue recognition. Adv. Eng. Informatics 62 (2024)
Sreenivasan Shiva, Minghui Hu, Ponnuthurai Nagaratnam Suganthan
Online learning using deep random vector functional link network. Eng. Appl. Artif. Intell. 125 (2023)
Ruobin Gao, Ruilin Li, Minghui Hu, Ponnuthurai N. Suganthan, Kum Fai Yuen
Online dynamic ensemble deep random vector functional link neural network for forecasting. Neural Networks 166 (2023)
Jiaying Chen, Han Wang, Minghui Hu, Ponnuthurai Nagaratnam Suganthan
Versatile LiDAR-Inertial Odometry With SE(2) Constraints for Ground Vehicles. IEEE Robotics Autom. Lett. 8 (6) (2023)
Minghui Hu, Saihua Xu, Qinglai Liu, Mayur Katwe, Chau Yuen, Sirajudeen Gulam Razul
Locswinunet: A Neural Network for Urban Wireless Localization Using TOA and RSS Radio Maps. MLSP (2023)
Minghui Hu, Jet Herng Chion, Ponnuthurai Nagaratnam Suganthan, Rakesh Katuwal
Ensemble Deep Random Vector Functional Link Neural Network for Regression. IEEE Trans. Syst. Man Cybern. Syst. 53 (5) (2023)
Minghui Hu, Jianbin Zheng, Chuanxia Zheng, Chaoyue Wang, Dacheng Tao, Tat-Jen Cham
One More Step: A Versatile Plug-and-Play Module for Rectifying Diffusion Schedule Flaws and Enhancing Low-Frequency Controls. CoRR (2023)
Ruobin Gao, Ruilin Li, Minghui Hu, Ponnuthurai Nagaratnam Suganthan, Kum Fai Yuen
Significant wave height forecasting using hybrid ensemble deep randomized networks with neurons pruning. Eng. Appl. Artif. Intell. 117 (Part) (2023)
Jianbin Zheng, Daqing Liu, Chaoyue Wang, Minghui Hu, Zuopeng Yang, Changxing Ding, Dacheng Tao
MMoT: Mixture-of-Modality-Tokens Transformer for Composed Multimodal Conditional Image Synthesis. CoRR (2023)
Minghui Hu, Jianbin Zheng, Daqing Liu, Chuanxia Zheng, Chaoyue Wang, Dacheng Tao, Tat-Jen Cham
Cocktail: Mixing Multi-Modality Control for Text-Conditional Image Generation. NeurIPS (2023)
Qiao ZhongZheng, Minghui Hu, Xudong Jiang, Ponnuthurai Nagaratnam Suganthan, Savitha Ramasamy
Class-Incremental Learning on Multivariate Time Series Via Shape-Aligned Temporal Distillation. ICASSP (2023)
Minghui Hu, Chuanxia Zheng, Zuopeng Yang, Tat-Jen Cham, Heliang Zheng, Chaoyue Wang, Dacheng Tao, Ponnuthurai N. Suganthan
Unified Discrete Diffusion for Simultaneous Vision-Language Generation. ICLR (2023)
Minghui Hu, Jianbin Zheng, Daqing Liu, Chuanxia Zheng, Chaoyue Wang, Dacheng Tao, Tat-Jen Cham
Cocktail: Mixing Multi-Modality Controls for Text-Conditional Image Generation. CoRR (2023)
Minghui Hu, Ruobin Gao, Ponnuthurai N. Suganthan, Muhammad Tanveer
Automated layer-wise solution for ensemble deep randomized feed-forward neural network. Neurocomputing 514 (2022)
Minghui Hu, Chuanxia Zheng, Heliang Zheng, Tat-Jen Cham, Chaoyue Wang, Zuopeng Yang, Dacheng Tao, Ponnuthurai N. Suganthan
Unified Discrete Diffusion for Simultaneous Vision-Language Generation. CoRR (2022)