Gas Sensitivity and Sensing Mechanism Studies on Au-Doped TiO2 Nanotube Arrays for Detecting SF6 Decomposed Components. - Xiaoxing Zhang 001; Lei Yu; Jing Tie; Xingchen Dong (Sensors, 2014)

Analysis of the Sensitivity of K-Type Molecular Sieve-Deposited MWNTs for the Detection of SF6 Decomposition Gases under Partial Discharge. - Xiaoxing Zhang 001; Xin Li; Chenchen Luo; Xingchen Dong; Lei Zhou (Sensors, 2015)

Investigation of Gas-Sensing Property of Acid-Deposited Polyaniline Thin-Film Sensors for Detecting H2S and SO2. - Xingchen Dong; Xiaoxing Zhang 001; Xiaoqing Wu; Hao Cui; Da-Chang Chen (Sensors, 2016)

A DFT Calculation of Fluoride-Doped TiO2 Nanotubes for Detecting SF6 Decomposition Components. - Xiaoxing Zhang 001; Jun Zhang; Xingchen Dong; Hao Cui (Sensors, 2017)

Epileptic Seizure Prediction Using Attention Augmented Convolutional Network. - Dongsheng Liu; Xingchen Dong; Dong Bian; Weidong Zhou (Int. J. Neural Syst., 2023)

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 001 (ICIC (1), 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)

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)

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)

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., 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., 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., 2024)

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)

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 039; Wei Chen 015; Hongyu Chen 002; Bin Yin (Expert Syst. Appl., 2025)

Joint autonomous decision-making of conflict resolution and aircraft scheduling based on triple-aspect improved multi-agent reinforcement learning. - Xiao Huang; Yong Tian 001; Jiangchen Li; Naizhong Zhang; Xingchen Dong; Yue Lv; Zhixiong Li 001 (Expert Syst. Appl., 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)