Multi-objective Optimized Design for Intermediate-Frequency Noise Reduction in Aircraft Cabins. - Jie Gao 016; Ning Qiang (Wirel. Pers. Commun., 2018)

Multi-objective Optimized Noise Reduction Design of Complicated Structure-Borne Acoustic Radiation Under Multiple Constrains. - Jie Gao 016; Ning Qiang (Wirel. Pers. Commun., 2018)

A Behavior-Driven Coordination Control Framework for Target Hunting by UUV Intelligent Swarm. - Hongtao Liang; Yanfang Fu; Fengju Kang; Jie Gao 016; Ning Qiang (IEEE Access, 2020)

Modeling task-based fMRI data via deep belief network with neural architecture search. - Ning Qiang; Qinglin Dong; Wei Zhang 090; Bao Ge; Fangfei Ge; Hongtao Liang; Yifei Sun; Jie Gao 016; Tianming Liu 001 (Comput. Medical Imaging Graph., 2020)

Bio-inspired self-organized cooperative control consensus for crowded UUV swarm based on adaptive dynamic interaction topology. - Hongtao Liang; Yanfang Fu; Jie Gao 016 (Appl. Intell., 2021)

A novel framework based on wavelet transform and principal component for face recognition under varying illumination. - Hongtao Liang; Jie Gao 016; Ning Qiang (Appl. Intell., 2021)

Deep Variational Autoencoder for Mapping Functional Brain Networks. - Ning Qiang; Qinglin Dong; Fangfei Ge; Hongtao Liang; Bao Ge; Shu Zhang 001; Yifei Sun; Jie Gao 016; Tianming Liu 001 (IEEE Trans. Cogn. Dev. Syst., 2021)

Learning brain representation using recurrent Wasserstein generative adversarial net. - Ning Qiang; Qinglin Dong; Hongtao Liang; Jin Li; Shu Zhang 001; Cheng Zhang; Bao Ge; Yifei Sun; Jie Gao 016; Tianming Liu 001; Huiji Yue; Shijie Zhao 001 (Comput. Methods Programs Biomed., 2022)

A novel ADHD classification method based on resting state temporal templates (RSTT) using spatiotemporal attention auto-encoder. - Ning Qiang; Qinglin Dong; Hongtao Liang; Bao Ge; Shu Zhang 001; Cheng Zhang; Jie Gao 016; Yifei Sun (Neural Comput. Appl., 2022)

Functional brain network identification and fMRI augmentation using a VAE-GAN framework. - Ning Qiang; Jie Gao 016; Qinglin Dong; Huiji Yue; Hongtao Liang; Lili Liu; Jingjing Yu; Jing Hu; Shu Zhang 001; Bao Ge; Yifei Sun; Zhengliang Liu; et al. (Comput. Biol. Medicine, 2023)