Ning Qiang

34 papers Journal 23Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
3D masked autoencoder with spatiotemporal transformer for modeling of 4D fMRI data.
Medical Image Anal.
Jie Gao, Bao Ge, Ning Qiang, Shijie Zhao
2026 J jnl
FNF: Functional Network Fingerprint for Large Language Models.
CoRR
Yiheng Liu, Junhao Ning, Sichen Xia, Haiyang Sun, Yang Yang, Hanyang Chi, Xiaohui Gao, Ning Qiang, Bao Ge, Junwei Han, Xintao Hu
2025 J jnl
Pruning Large Language Models by Identifying and Preserving Functional Networks.
CoRR
Yiheng Liu, Junhao Ning, Sichen Xia, Xiaohui Gao, Ning Qiang, Bao Ge, Junwei Han, Xintao Hu
2025 J jnl
Understanding LLMs: A comprehensive overview from training to inference.
Neurocomputing
Yiheng Liu, Hao He, Tianle Han, Xu Zhang, Mengyuan Liu, Jiaming Tian, Yutong Zhang, Jiaqi Wang, Xiaohui Gao, Tianyang Zhong, Yi Pan, Shaochen Xu, Zihao Wu, Zhengliang Liu, Xin Zhang, Shu Zhang, Xintao Hu, Tuo Zhang, Ning Qiang, Tianming Liu, Bao Ge
2024 J jnl
A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks.
CoRR
Jiaqi Wang, Hanqi Jiang, Yiheng Liu, Chong Ma, Xu Zhang, Yi Pan, Mengyuan Liu, Peiran Gu, Sichen Xia, Wenjun Li, Yutong Zhang, Zihao Wu, Zhengliang Liu, Tianyang Zhong, Bao Ge, Tuo Zhang, Ning Qiang, Xintao Hu, Xi Jiang, Xin Zhang, Wei Zhang, Dinggang Shen, Tianming Liu, Shu Zhang
2024 J jnl
An Explainable and Generalizable Recurrent Neural Network Approach for Differentiating Human Brain States on EEG Dataset.
IEEE Trans. Neural Networks Learn. Syst.
Shu Zhang, Lin Wu, Sigang Yu, Enze Shi, Ning Qiang, Huan Gao, Jingyi Zhao, Shijie Zhao
2024 J jnl
Analyzing Nobel Prize Literature with Large Language Models.
CoRR
Zhenyuan Yang, Zhengliang Liu, Jian Zhang, Cen Lu, Jiaxin Tai, Tianyang Zhong, Yiwei Li, Siyan Zhao, Teng Yao, Qing Liu, Jinlin Yang, Qixin Liu, Zhaowei Li, Kexin Wang, Longjun Ma, Dajiang Zhu, Yudan Ren, Bao Ge, Wei Zhang, Ning Qiang, Tuo Zhang, Tianming Liu
2024 — conf
Deep Linear Matrix Approximate Reconstruction Reveals Reproducible Large-Scale Functional Connectivity Networks in the Human Brain.
MCHM@MM
Wei Zhang, Xi Jiang, Shijie Zhao, Ning Qiang, Yu Bao, Jinglei Lv
2024 J jnl
End-to-End Prediction of EGFR Mutation Status With Denseformer.
IEEE J. Biomed. Health Informatics
Shijie Zhao, Wenyuan Li, Zhuoyan Liu, Tianji Pang, Yang Yang, Ning Qiang, Jingyi Zhao, Bangguo Li, Baiying Lei, Junwei Han
2024 J jnl
Spatial-temporal convolutional attention for discovering and characterizing functional brain networks in task fMRI.
NeuroImage
Yiheng Liu, Enjie Ge, Zili Kang, Ning Qiang, Tianming Liu, Bao Ge
2024 J jnl
Understanding LLMs: A Comprehensive Overview from Training to Inference.
CoRR
Yiheng Liu, Hao He, Tianle Han, Xu Zhang, Mengyuan Liu, Jiaming Tian, Yutong Zhang, Jiaqi Wang, Xiaohui Gao, Tianyang Zhong, Yi Pan, Shaochen Xu, Zihao Wu, Zhengliang Liu, Xin Zhang, Shu Zhang, Xintao Hu, Tuo Zhang, Ning Qiang, Tianming Liu, Bao Ge
2023 J jnl
Functional brain network identification and fMRI augmentation using a VAE-GAN framework.
Comput. Biol. Medicine
Ning Qiang, Jie Gao, Qinglin Dong, Huiji Yue, Hongtao Liang, Lili Liu, Jingjing Yu, Jing Hu, Shu Zhang, Bao Ge, Yifei Sun, Zhengliang Liu, Tianming Liu, Jin Li, Hujie Song, Shijie Zhao
2023 J jnl
Holistic Evaluation of GPT-4V for Biomedical Imaging.
CoRR
Zhengliang Liu, Hanqi Jiang, Tianyang Zhong, Zihao Wu, Chong Ma, Yiwei Li, Xiaowei Yu, Yutong Zhang, Yi Pan, Peng Shu, Yanjun Lyu, Lu Zhang, Junjie Yao, Peixin Dong, Chao Cao, Zhenxiang Xiao, Jiaqi Wang, Huan Zhao, Shaochen Xu, Yaonai Wei, Jingyuan Chen, Haixing Dai, Peilong Wang, Hao He, Zewei Wang, Xinyu Wang, Xu Zhang, Lin Zhao, Yiheng Liu, Kai Zhang, Liheng Yan, Lichao Sun, Jun Liu, Ning Qiang, Bao Ge, Xiaoyan Cai, Shijie Zhao, Xintao Hu, Yixuan Yuan, Gang Li, Shu Zhang, Xin Zhang, Xi Jiang, Tuo Zhang, Dinggang Shen, Quanzheng Li, Wei Liu, Xiang Li, Dajiang Zhu, Tianming Liu
2023 — conf
Spatial-Temporal Convolutional Attention for Mapping Functional Brain Networks.
ISBI
Yiheng Liu, Enjie Ge, Ning Qiang, Tianming Liu, Bao Ge
2023 J jnl
Summary of ChatGPT/GPT-4 Research and Perspective Towards the Future of Large Language Models.
CoRR
Yiheng Liu, Tianle Han, Siyuan Ma, Jiayue Zhang, Yuanyuan Yang, Jiaming Tian, Hao He, Antong Li, Mengshen He, Zhengliang Liu, Zihao Wu, Dajiang Zhu, Xiang Li, Ning Qiang, Dinggang Shen, Tianming Liu, Bao Ge
2022 J jnl
A novel ADHD classification method based on resting state temporal templates (RSTT) using spatiotemporal attention auto-encoder.
Neural Comput. Appl.
Ning Qiang, Qinglin Dong, Hongtao Liang, Bao Ge, Shu Zhang, Cheng Zhang, Jie Gao, Yifei Sun
2022 — conf
Accurate Corresponding Fiber Tract Segmentation via FiberGeoMap Learner.
MICCAI (1)
Zhenwei Wang, Yifan Lv, Mengshen He, Enjie Ge, Ning Qiang, Bao Ge
2022 J jnl
Learning brain representation using recurrent Wasserstein generative adversarial net.
Comput. Methods Programs Biomed.
Ning Qiang, Qinglin Dong, Hongtao Liang, Jin Li, Shu Zhang, Cheng Zhang, Bao Ge, Yifei Sun, Jie Gao, Tianming Liu, Huiji Yue, Shijie Zhao
2022 — conf
Multi-head Attention-Based Masked Sequence Model for Mapping Functional Brain Networks.
MICCAI (1)
Mengshen He, Xiangyu Hou, Zhenwei Wang, Zili Kang, Xin Zhang, Ning Qiang, Bao Ge
2022 J jnl
Spatial-Temporal Convolutional Attention for Mapping Functional Brain Networks.
CoRR
Yiheng Liu, Enjie Ge, Ning Qiang, Tianming Liu, Bao Ge
2021 J jnl
A novel framework based on wavelet transform and principal component for face recognition under varying illumination.
Appl. Intell.
Hongtao Liang, Jie Gao, Ning Qiang
2021 J jnl
Deep Variational Autoencoder for Mapping Functional Brain Networks.
IEEE Trans. Cogn. Dev. Syst.
Ning Qiang, Qinglin Dong, Fangfei Ge, Hongtao Liang, Bao Ge, Shu Zhang, Yifei Sun, Jie Gao, Tianming Liu
2020 J jnl
A Behavior-Driven Coordination Control Framework for Target Hunting by UUV Intelligent Swarm.
IEEE Access
Hongtao Liang, Yanfang Fu, Fengju Kang, Jie Gao, Ning Qiang
2020 — conf
A Novel fMRI Representation Learning Framework with GAN.
MLMI@MICCAI
Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Liang Dong, Tianming Liu, Quanzheng Li
2020 — conf
Deep Variational Autoencoder for Modeling Functional Brain Networks and ADHD Identification.
ISBI
Ning Qiang, Qinglin Dong, Yifei Sun, Bao Ge, Tianming Liu
2020 — conf
Discovering Functional Brain Networks with 3D Residual Autoencoder (ResAE).
MICCAI (7)
Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Tianming Liu, Quanzheng Li
2020 J jnl
Modeling Hierarchical Brain Networks via Volumetric Sparse Deep Belief Network.
IEEE Trans. Biomed. Eng.
Qinglin Dong, Fangfei Ge, Ning Qiang, Yu Zhao, Jinglei Lv, Heng Huang, Jing Yuan, Xi Jiang, Dinggang Shen, Tianming Liu
2020 J jnl
Modeling task-based fMRI data via deep belief network with neural architecture search.
Comput. Medical Imaging Graph.
Ning Qiang, Qinglin Dong, Wei Zhang, Bao Ge, Fangfei Ge, Hongtao Liang, Yifei Sun, Jie Gao, Tianming Liu
2020 — conf
Spatiotemporal Attention Autoencoder (STAAE) for ADHD Classification.
MICCAI (7)
Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Tianming Liu, Quanzheng Li
2020 — conf
Task fMRI Guided Fiber Clustering via a Deep Clustering Method.
ISBI
Huan Wang, Qinglin Dong, Ning Qiang, Xin Zhang, Tianming Liu, Bao Ge
2019 — conf
Neural Architecture Search for Optimizing Deep Belief Network Models of fMRI Data.
MMMI@MICCAI
Ning Qiang, Bao Ge, Qinglin Dong, Fangfei Ge, Tianming Liu
2019 — conf
Simultaneous Spatial-Temporal Decomposition of Connectome-Scale Brain Networks by Deep Sparse Recurrent Auto-Encoders.
IPMI
Qing Li, Qinglin Dong, Fangfei Ge, Ning Qiang, Yu Zhao, Han Wang, Heng Huang, Xia Wu, Tianming Liu
2018 J jnl
Multi-objective Optimized Design for Intermediate-Frequency Noise Reduction in Aircraft Cabins.
Wirel. Pers. Commun.
Jie Gao, Ning Qiang
2018 J jnl
Multi-objective Optimized Noise Reduction Design of Complicated Structure-Borne Acoustic Radiation Under Multiple Constrains.
Wirel. Pers. Commun.
Jie Gao, Ning Qiang