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)

Simultaneous Spatial-Temporal Decomposition of Connectome-Scale Brain Networks by Deep Sparse Recurrent Auto-Encoders. - Qing Li 027; Qinglin Dong; Fangfei Ge; Ning Qiang; Yu Zhao 007; Han Wang 012; Heng Huang; Xia Wu 001; Tianming Liu 001 (IPMI, 2019)

Neural Architecture Search for Optimizing Deep Belief Network Models of fMRI Data. - Ning Qiang; Bao Ge; Qinglin Dong; Fangfei Ge; Tianming Liu 001 (MMMI@MICCAI, 2019)

Deep Variational Autoencoder for Modeling Functional Brain Networks and ADHD Identification. - Ning Qiang; Qinglin Dong; Yifei Sun; Bao Ge; Tianming Liu 001 (ISBI, 2020)

Task fMRI Guided Fiber Clustering via a Deep Clustering Method. - Huan Wang; Qinglin Dong; Ning Qiang; Xin Zhang 013; Tianming Liu 001; Bao Ge (ISBI, 2020)

A Novel fMRI Representation Learning Framework with GAN. - Qinglin Dong; Ning Qiang; Jinglei Lv; Xiang Li 001; Liang Dong; Tianming Liu 001; Quanzheng Li (MLMI@MICCAI, 2020)

Discovering Functional Brain Networks with 3D Residual Autoencoder (ResAE). - Qinglin Dong; Ning Qiang; Jinglei Lv; Xiang Li 001; Tianming Liu 001; Quanzheng Li (MICCAI (7), 2020)

Spatiotemporal Attention Autoencoder (STAAE) for ADHD Classification. - Qinglin Dong; Ning Qiang; Jinglei Lv; Xiang Li 001; Tianming Liu 001; Quanzheng Li (MICCAI (7), 2020)

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)

Modeling Hierarchical Brain Networks via Volumetric Sparse Deep Belief Network. - Qinglin Dong; Fangfei Ge; Ning Qiang; Yu Zhao 007; Jinglei Lv; Heng Huang; Jing Yuan 004; Xi Jiang 001; Dinggang Shen; Tianming Liu 001 (IEEE Trans. Biomed. Eng., 2020)

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)

Multi-head Attention-Based Masked Sequence Model for Mapping Functional Brain Networks. - Mengshen He; Xiangyu Hou; Zhenwei Wang; Zili Kang; Xin Zhang; Ning Qiang; Bao Ge (MICCAI (1), 2022)

Accurate Corresponding Fiber Tract Segmentation via FiberGeoMap Learner. - Zhenwei Wang; Yifan Lv; Mengshen He; Enjie Ge; Ning Qiang; Bao Ge (MICCAI (1), 2022)

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)

Spatial-Temporal Convolutional Attention for Mapping Functional Brain Networks. - Yiheng Liu; Enjie Ge; Ning Qiang; Tianming Liu 001; Bao Ge (ISBI, 2023)

Summary of ChatGPT/GPT-4 Research and Perspective Towards the Future of Large Language Models. - Yiheng Liu; Tianle Han; Siyuan Ma; Jiayue Zhang; Yuanyuan Yang; Jiaming Tian; Hao He; Antong Li; Mengshen He; Zhengliang Liu; Zihao Wu 001; Dajiang Zhu; et al. (CoRR, 2023)

Holistic Evaluation of GPT-4V for Biomedical Imaging. - Zhengliang Liu; Hanqi Jiang; Tianyang Zhong; Zihao Wu 001; Chong Ma; Yiwei Li 002; Xiaowei Yu; Yutong Zhang; Yi Pan 001; Peng Shu; Yanjun Lyu; Lu Zhang 050; et al. (CoRR, 2023)

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)

Deep Linear Matrix Approximate Reconstruction Reveals Reproducible Large-Scale Functional Connectivity Networks in the Human Brain. - Wei Zhang 090; Xi Jiang 001; Shijie Zhao 001; Ning Qiang; Yu Bao; Jinglei Lv (MCHM@MM, 2024)

A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks. - Jiaqi Wang 010; Hanqi Jiang; Yiheng Liu; Chong Ma; Xu Zhang; Yi Pan 001; Mengyuan Liu; Peiran Gu; Sichen Xia; Wenjun Li 001; Yutong Zhang; Zihao Wu 001; et al. (CoRR, 2024)

Analyzing Nobel Prize Literature with Large Language Models. - Zhenyuan Yang; Zhengliang Liu; Jian Zhang; Cen Lu; Jiaxin Tai; Tianyang Zhong; Yiwei Li 002; Siyan Zhao; Teng Yao; Qing Liu; Jinlin Yang; Qixin Liu; et al. (CoRR, 2024)

End-to-End Prediction of EGFR Mutation Status With Denseformer. - Shijie Zhao 001; Wenyuan Li; Zhuoyan Liu; Tianji Pang; Yang Yang 133; Ning Qiang; Jingyi Zhao; Bangguo Li; Baiying Lei; Junwei Han 001 (IEEE J. Biomed. Health Informatics, 2024)

Spatial-temporal convolutional attention for discovering and characterizing functional brain networks in task fMRI. - Yiheng Liu; Enjie Ge; Zili Kang; Ning Qiang; Tianming Liu 001; Bao Ge (NeuroImage, 2024)

An Explainable and Generalizable Recurrent Neural Network Approach for Differentiating Human Brain States on EEG Dataset. - Shu Zhang 006; Lin Wu; Sigang Yu; Enze Shi; Ning Qiang; Huan Gao; Jingyi Zhao; Shijie Zhao 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Understanding LLMs: A comprehensive overview from training to inference. - Yiheng Liu; Hao He; Tianle Han; Xu Zhang; Mengyuan Liu; Jiaming Tian; Yutong Zhang; Jiaqi Wang 010; Xiaohui Gao; Tianyang Zhong; Yi Pan 001; Shaochen Xu; et al. (Neurocomputing, 2025)

Pruning Large Language Models by Identifying and Preserving Functional Networks. - Yiheng Liu; Junhao Ning; Sichen Xia; Xiaohui Gao; Ning Qiang; Bao Ge; Junwei Han 001; Xintao Hu (CoRR, 2025)