Xingchen Dong

According to our database, Xingchen Dong authored at least 16 papers between 2014 and 2025.

Collaborative distances:

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

2025

CNN-Informer: A hybrid deep learning model for seizure detection on long-term EEG.

Chuanyu Li, Haotian Li, Xingchen Dong, Xiangwen Zhong, Haozhou Cui, Dezan Ji, Landi He, Guoyang Liu, Weidong Zhou

Neural Networks, 2025

Joint autonomous decision-making of conflict resolution and aircraft scheduling based on triple-aspect improved multi-agent reinforcement learning.

Xiao Huang, Yong Tian, Jiangchen Li, Naizhong Zhang, Xingchen Dong, Yue Lv, Zhixiong Li

Expert Syst. Appl., 2025

Application of artificial intelligence in physiological measurement based screening and diagnosis of chronic obstructive pulmonary disease: A review.

Xiaoyu Chen, Xingchen Dong, Qiangqiang Chen, Chen Chen, Wei Chen, Hongyu Chen, Bin Yin

Expert Syst. Appl., 2025

Mixed supervised cross-subject seizure detection with transformer and reference learning.

Landi He, Dezan Ji, Xingchen Dong, Haotian Li, Guoyang Liu, Weidong Zhou

Appl. Soft Comput., 2025

2024

A Lightweight Convolutional Neural Network-Reformer Model for Efficient Epileptic Seizure Detection.

Haozhou Cui, Xiangwen Zhong, Haotian Li, Chuanyu Li, Xingchen Dong, Dezan Ji, Landi He, Weidong Zhou

Int. J. Neural Syst., December, 2024

Epileptic Seizure Prediction Using Spatiotemporal Feature Fusion on EEG.

Dezan Ji, Landi He, Xingchen Dong, Haotian Li, Xiangwen Zhong, Guoyang Liu, Weidong Zhou

Int. J. Neural Syst., August, 2024

Epileptic Seizure Detection with an End-to-End Temporal Convolutional Network and Bidirectional Long Short-Term Memory Model.

Xingchen Dong, Yiming Wen, Dezan Ji, Shasha Yuan, Zhen Liu, Wei Shang, Weidong Zhou

Int. J. Neural Syst., March, 2024

Automatic Seizure Detection Based on Stockwell Transform and Transformer.

Xiangwen Zhong, Guoyang Liu, Xingchen Dong, Chuanyu Li, Haotian Li, Haozhou Cui, Weidong Zhou

Sensors, 2024

End-to-end model for automatic seizure detection using supervised contrastive learning.

Haotian Li, Xingchen Dong, Xiangwen Zhong, Chuanyu Li, Haozhou Cui, Weidong Zhou

Eng. Appl. Artif. Intell., 2024

Deep learning based automatic seizure prediction with EEG time-frequency representation.

Xingchen Dong, Landi He, Haotian Li, Zhen Liu, Wei Shang, Weidong Zhou

Biomed. Signal Process. Control., 2024

An Efficient Growth Optimizer with Adaptive Parameters and Targeted Stochastic Mutation Strategies for Global Optimization.

Conglin Li, Qingke Zhang, Shuzhao Pang, Wenliang Chen, Xin Yin, Xingchen Dong, Huaxiang Zhang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

2023

Epileptic Seizure Prediction Using Attention Augmented Convolutional Network.

Dongsheng Liu, Xingchen Dong, Dong Bian, Weidong Zhou

Int. J. Neural Syst., November, 2023

2017

A DFT Calculation of Fluoride-Doped TiO₂ Nanotubes for Detecting SF₆ Decomposition Components.

Xiaoxing Zhang, Jun Zhang, Xingchen Dong, Hao Cui

Sensors, 2017

2016

Investigation of Gas-Sensing Property of Acid-Deposited Polyaniline Thin-Film Sensors for Detecting H₂S and SO₂.

Xingchen Dong, Xiaoxing Zhang, Xiaoqing Wu, Hao Cui, Da-Chang Chen

Sensors, 2016

2015

Analysis of the Sensitivity of K-Type Molecular Sieve-Deposited MWNTs for the Detection of SF6 Decomposition Gases under Partial Discharge.

Xiaoxing Zhang, Xin Li, Chenchen Luo, Xingchen Dong, Lei Zhou

Sensors, 2015

2014

Gas Sensitivity and Sensing Mechanism Studies on Au-Doped TiO₂ Nanotube Arrays for Detecting SF₆ Decomposed Components.

Xiaoxing Zhang, Lei Yu, Jing Tie, Xingchen Dong

Sensors, 2014