Chuangquan Chen

According to our database, Chuangquan Chen authored at least 21 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Weakly Supervised Semantic Segmentation via Dual-Stream Contrastive Learning of Cross-Image Contextual Information.

Qi Lai, Chi-Man Vong, Chuangquan Chen

IEEE Trans. Ind. Informatics, October, 2024

Class-Incremental Learning Method With Fast Update and High Retainability Based on Broad Learning System.

Jie Du, Peng Liu, Chi-Man Vong, Chuangquan Chen, Tianfu Wang, C. L. Philip Chen

IEEE Trans. Neural Networks Learn. Syst., August, 2024

DDIO-Mapping: A Fast and Robust Visual-Inertial Odometry for Low-Texture Environment Challenge.

Xinyu Jiang, Heng Li, Chuangquan Chen, Yongquan Chen, Junlang Huang, Zuguang Zhou, Yimin Zhou, Chi-Man Vong

IEEE Trans. Ind. Informatics, March, 2024

Billion-scale pre-trained knowledge graph model for conversational chatbot.

Chi-Man Wong, Fan Feng, Wen Zhang, Huajun Chen, Chi-Man Vong, Chuangquan Chen

Neurocomputing, 2024

MNeRV: A Multilayer Neural Representation for Videos.

Qingling Chang, Haohui Yu, Shuxuan Fu, Zhiqiang Zeng, Chuangquan Chen

CoRR, 2024

Research on Distributed Heterogeneous Factory Task Assignment Problem With Loading Efficiency Constraints: A Case Study.

Meisong Zhong, Zhiqiang Zeng, Zhiyong Hong, Chuangquan Chen

IEEE Access, 2024

2023

NRSTRNet: A Novel Network for Noise-Robust Scene Text Recognition.

Hongwei Yue, Yufeng Huang, Chi-Man Vong, Yingying Jin, Zhiqiang Zeng, Mingqi Yu, Chuangquan Chen

Int. J. Comput. Intell. Syst., December, 2023

2022

Fusing Frequency-Domain Features and Brain Connectivity Features for Cross-Subject Emotion Recognition.

Chuangquan Chen, Zhencheng Li, Feng Wan, Leicai Xu, Anastasios Bezerianos, Hongtao Wang

IEEE Trans. Instrum. Meas., 2022

Easy Domain Adaptation for cross-subject multi-view emotion recognition.

Chuangquan Chen, Chi-Man Vong, Shitong Wang, Hongtao Wang, Miaoqi Pang

Knowl. Based Syst., 2022

Improving differential evolution using a best discarded vector selection strategy.

Zhiqiang Zeng, Zhiyong Hong, Huanhuan Zhang, Min Zhang, Chuangquan Chen

Inf. Sci., 2022

2021

Linking Attention-Based Multiscale CNN With Dynamical GCN for Driving Fatigue Detection.

Hongtao Wang, Linfeng Xu, Anastasios Bezerianos, Chuangquan Chen, Zhi Guo Zhang

IEEE Trans. Instrum. Meas., 2021

Scalable and memory-efficient sparse learning for classification with approximate Bayesian regularization priors.

Jiahua Luo, Yanfen Gan, Chi-Man Vong, Chi-Man Wong, Chuangquan Chen

Neurocomputing, 2021

Brain-Controlled Wheelchair Review: From Wet Electrode to Dry Electrode, From Single Modal to Hybrid Modal, From Synchronous to Asynchronous.

Hongtao Wang, Fan Yan, Tao Xu, Haojun Yin, Peng Chen, Hongwei Yue, Chuangquan Chen, Hongfei Zhang, Linfeng Xu, Yuebang He, Anastasios Bezerianos

IEEE Access, 2021

An Inverse-Free and Scalable Sparse Bayesian Extreme Learning Machine for Classification Problems.

Jiahua Luo, Chi-Man Vong, Zhenbao Liu, Chuangquan Chen

IEEE Access, 2021

2020

Approximate empirical kernel map-based iterative extreme learning machine for clustering.

Chuangquan Chen, Chi-Man Vong, Pak-Kin Wong, Keng Iam Tai

Neural Comput. Appl., 2020

Homo-ELM: fully homomorphic extreme learning machine.

Weiru Wang, Yanfen Gan, Chi-Man Vong, Chuangquan Chen

Int. J. Mach. Learn. Cybern., 2020

Extreme semi-supervised learning for multiclass classification.

Chuangquan Chen, Yanfen Gan, Chi-Man Vong

Neurocomputing, 2020

Diverse Feature Blend Based on Filter-Bank Common Spatial Pattern and Brain Functional Connectivity for Multiple Motor Imagery Detection.

Hongtao Wang, Tao Xu, Cong Tang, Hongwei Yue, Chuangquan Chen, Linfeng Xu, Zian Pei, Jiajun Dong, Anastasios Bezerianos, Junhua Li

IEEE Access, 2020

Supervised Extreme Learning Machine-Based Auto-Encoder for Discriminative Feature Learning.

Jie Du, Chi-Man Vong, Chuangquan Chen, Peng Liu, Zhenbao Liu

IEEE Access, 2020

2018

Efficient extreme learning machine via very sparse random projection.

Chuangquan Chen, Chi-Man Vong, Chiman Wong, Weiru Wang, Pak-Kin Wong

Soft Comput., 2018

Empirical kernel map-based multilayer extreme learning machines for representation learning.

Chi-Man Vong, Chuangquan Chen, Pak-Kin Wong

Neurocomputing, 2018