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ORCIDMinghui Hu 0001
Person information
- affiliation: Nanyang Technological University, Singapore, Singapore
Other persons with the same name
- Minghui Hu 0002
![[0000-0001-7551-5883]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-7551-5883")
— Chongqing University, College of Mechanical and Vehicle Engineering, China - Minghui Hu 0003 — Union Strong Technology Co., Ltd., China
- Minghui Hu 0004 — Beijing University of Chemical Technology, MOE Key Lab of Engine Health Monitoring-Control and Networking, China
- Minghui Hu 0005 — Beijing Institute of Graphic Communication, China
- Minghui Hu 0006 — University of California Santa Cruz, CA, USA
- Minghui Hu 0007 — Nanjing University of Aeronautics and Astronautics, China
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2020 – today
- 2024
[j14]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: 102575 (2024)- [j13]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. Int. J. Comput. Vis. 132(9): 3537-3565 (2024) - [j12]Minghui Hu, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan:
Self-Distillation for Randomized Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16119-16128 (2024) - [j11]Jiaying Chen, Keyu Wu, Minghui Hu, Ponnuthurai Nagaratnam Suganthan, Anamitra Makur:
LiDAR-Based End-to-End Active SLAM Using Deep Reinforcement Learning in Large-Scale Environments. IEEE Trans. Veh. Technol. 73(10): 14187-14200 (2024) - [c12]Zongrui Li, Minghui Hu, Qian Zheng, Xudong Jiang:
Connecting Consistency Distillation to Score Distillation for Text-to-3D Generation. ECCV (43) 2024: 274-291 - [c11]Ruke Cheng, Ruobin Gao, Minghui Hu, Ponnuthurai Nagaratnam Suganthan, Kum Fai Yuen:
Wind Speed Forecasting Using an Ensemble Deep Random Vector Functional Link Neural Network Based on Parsimonious Channel Mixing. IJCNN 2024: 1-8 - [c10]Minghui Hu, Ruilin Li, Ruobin Gao, Ponnuthurai N. Suganthan:
Noise Elimination in Deep Random Vector Functional Link Network for Tabular Classification. IJCNN 2024: 1-8 - [i10]Jianbin Zheng, Minghui Hu, Zhongyi Fan, Chaoyue Wang, Changxing Ding, Dacheng Tao, Tat-Jen Cham:
Trajectory Consistency Distillation. CoRR abs/2402.19159 (2024) - [i9]Jiaying Chen, Han Wang, Minghui Hu, Ponnuthurai Nagaratnam Suganthan:
Versatile LiDAR-Inertial Odometry With SE (2) Constraints for Ground Vehicles. CoRR abs/2404.01584 (2024) - [i8]Zongrui Li, Minghui Hu, Qian Zheng, Xudong Jiang:
Connecting Consistency Distillation to Score Distillation for Text-to-3D Generation. CoRR abs/2407.13584 (2024) - [i7]Junda Wang, Minghui Hu, Ning Li, Abdulaziz K. Al-Ali, Ponnuthurai Nagaratnam Suganthan:
Incremental Online Learning of Randomized Neural Network with Forward Regularization. CoRR abs/2412.13096 (2024) - 2023
- [j10]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): 105535 (2023) - [j9]Sreenivasan Shiva, Minghui Hu, Ponnuthurai Nagaratnam Suganthan:
Online learning using deep random vector functional link network. Eng. Appl. Artif. Intell. 125: 106676 (2023) - [j8]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: 51-69 (2023) - [j7]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): 3486-3493 (2023) - [j6]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): 2604-2615 (2023) - [c9]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: 1-5 - [c8]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 - [c7]Ruilin Li, Minghui Hu, Jian Cui, Lipo Wang, Olga Sourina:
Ensemble of Randomized Neural Network and Boosted Trees for Eye-Tracking-Based Driver Situation Awareness Recognition and Interpretation. ICONIP (3) 2023: 500-511 - [c6]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: 1-6 - [c5]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 - [i6]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 abs/2305.05992 (2023) - [i5]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 abs/2306.00964 (2023) - [i4]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 abs/2311.15744 (2023) - 2022
- [j5]Minghui Hu, Ponnuthurai N. Suganthan:
Experimental evaluation of stochastic configuration networks: Is SC algorithm inferior to hyper-parameter optimization method? Appl. Soft Comput. 126: 109257 (2022) - [j4]M. A. Ganaie, Minghui Hu, Ashwani Kumar Malik, Muhammad Tanveer, Ponnuthurai N. Suganthan:
Ensemble deep learning: A review. Eng. Appl. Artif. Intell. 115: 105151 (2022) - [j3]Minghui Hu, Ruobin Gao, Ponnuthurai N. Suganthan, Muhammad Tanveer:
Automated layer-wise solution for ensemble deep randomized feed-forward neural network. Neurocomputing 514: 137-147 (2022) - [j2]Minghui Hu, Ponnuthurai N. Suganthan:
Representation learning using deep random vector functional link networks for clustering. Pattern Recognit. 129: 108744 (2022) - [j1]Qiushi Shi, Minghui Hu, Ponnuthurai Nagaratnam Suganthan, Rakesh Katuwal:
Weighting and pruning based ensemble deep random vector functional link network for tabular data classification. Pattern Recognit. 132: 108879 (2022) - [c4]Minghui Hu, Yujie Wang, Tat-Jen Cham, Jianfei Yang, Ponnuthurai N. Suganthan:
Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation. CVPR 2022: 11492-11501 - [c3]Minghui Hu, Ruobin Gao, Ponnuthurai N. Suganthan:
Deep Reservoir Computing Based Random Vector Functional Link for Non-sequential Classification. IJCNN 2022: 1-8 - [i3]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 abs/2211.14842 (2022) - 2021
- [i2]Mudasir Ahmad Ganaie, Minghui Hu, Mohammad Tanveer, Ponnuthurai N. Suganthan:
Ensemble deep learning: A review. CoRR abs/2104.02395 (2021) - [i1]Minghui Hu, Yujie Wang, Tat-Jen Cham, Jianfei Yang, Ponnuthurai N. Suganthan:
Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation. CoRR abs/2112.01799 (2021) - 2020
- [c2]Minghui Hu, Qiushi Shi, Ponnuthurai N. Suganthan, Muhammad Tanveer:
Adaptive Ensemble Variants of Random Vector Functional Link Networks. ICONIP (5) 2020: 30-37
2000 – 2009
- 2003
- [c1]Minghui Hu, P. Saratchandran, Narasimhan Sundararajan:
A sequential learning neural network for foreign exchange rate forecasting. SMC 2003: 3963-3968
Coauthor Index
aka: Ponnuthurai Nagaratnam Suganthan
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