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2020 – today
- 2024
[j13]Yiheng Liu
, Enjie Ge, Zili Kang, Ning Qiang, Tianming Liu, Bao Ge:
Spatial-temporal convolutional attention for discovering and characterizing functional brain networks in task fMRI. NeuroImage 287: 120519 (2024)- [j12]Shijie Zhao, Wenyuan Li, Zhuoyan Liu, Tianji Pang, Yang Yang, Ning Qiang, Jingyi Zhao, Bangguo Li, Baiying Lei, Junwei Han:
End-to-End Prediction of EGFR Mutation Status With Denseformer. IEEE J. Biomed. Health Informatics 28(1): 54-65 (2024) - [j11]Shu Zhang, Lin Wu, Sigang Yu, Enze Shi, Ning Qiang, Huan Gao, Jingyi Zhao, Shijie Zhao:
An Explainable and Generalizable Recurrent Neural Network Approach for Differentiating Human Brain States on EEG Dataset. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7339-7350 (2024) - [i5]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:
Understanding LLMs: A Comprehensive Overview from Training to Inference. CoRR abs/2401.02038 (2024) - [i4]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:
A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks. CoRR abs/2408.01319 (2024) - 2023
- [j10]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:
Functional brain network identification and fMRI augmentation using a VAE-GAN framework. Comput. Biol. Medicine 165: 107395 (2023) - [c10]Yiheng Liu, Enjie Ge, Ning Qiang, Tianming Liu, Bao Ge:
Spatial-Temporal Convolutional Attention for Mapping Functional Brain Networks. ISBI 2023: 1-4 - [i3]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:
Summary of ChatGPT/GPT-4 Research and Perspective Towards the Future of Large Language Models. CoRR abs/2304.01852 (2023) - [i2]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:
Holistic Evaluation of GPT-4V for Biomedical Imaging. CoRR abs/2312.05256 (2023) - 2022
- [j9]Ning Qiang, Qinglin Dong, Hongtao Liang, Jin Li, Shu Zhang, Cheng Zhang, Bao Ge, Yifei Sun, Jie Gao, Tianming Liu, Huiji Yue, Shijie Zhao:
Learning brain representation using recurrent Wasserstein generative adversarial net. Comput. Methods Programs Biomed. 223: 106979 (2022) - [j8]Ning Qiang, Qinglin Dong, Hongtao Liang, Bao Ge, Shu Zhang, Cheng Zhang, Jie Gao, Yifei Sun:
A novel ADHD classification method based on resting state temporal templates (RSTT) using spatiotemporal attention auto-encoder. Neural Comput. Appl. 34(10): 7815-7833 (2022) - [c9]Zhenwei Wang, Yifan Lv, Mengshen He, Enjie Ge, Ning Qiang, Bao Ge:
Accurate Corresponding Fiber Tract Segmentation via FiberGeoMap Learner. MICCAI (1) 2022: 143-152 - [c8]Mengshen He, Xiangyu Hou, Zhenwei Wang, Zili Kang, Xin Zhang, Ning Qiang, Bao Ge:
Multi-head Attention-Based Masked Sequence Model for Mapping Functional Brain Networks. MICCAI (1) 2022: 295-304 - [i1]Yiheng Liu, Enjie Ge, Ning Qiang, Tianming Liu, Bao Ge:
Spatial-Temporal Convolutional Attention for Mapping Functional Brain Networks. CoRR abs/2211.02315 (2022) - 2021
- [j7]Hongtao Liang, Jie Gao, Ning Qiang:
A novel framework based on wavelet transform and principal component for face recognition under varying illumination. Appl. Intell. 51(3): 1762-1783 (2021) - [j6]Ning Qiang, Qinglin Dong, Fangfei Ge, Hongtao Liang, Bao Ge, Shu Zhang, Yifei Sun, Jie Gao, Tianming Liu:
Deep Variational Autoencoder for Mapping Functional Brain Networks. IEEE Trans. Cogn. Dev. Syst. 13(4): 841-852 (2021) - 2020
- [j5]Hongtao Liang, Yanfang Fu, Fengju Kang, Jie Gao, Ning Qiang:
A Behavior-Driven Coordination Control Framework for Target Hunting by UUV Intelligent Swarm. IEEE Access 8: 4838-4859 (2020) - [j4]Ning Qiang, Qinglin Dong, Wei Zhang, Bao Ge, Fangfei Ge, Hongtao Liang, Yifei Sun, Jie Gao, Tianming Liu:
Modeling task-based fMRI data via deep belief network with neural architecture search. Comput. Medical Imaging Graph. 83: 101747 (2020) - [j3]Qinglin Dong, Fangfei Ge, Ning Qiang, Yu Zhao, Jinglei Lv, Heng Huang, Jing Yuan, Xi Jiang, Dinggang Shen, Tianming Liu:
Modeling Hierarchical Brain Networks via Volumetric Sparse Deep Belief Network. IEEE Trans. Biomed. Eng. 67(6): 1739-1748 (2020) - [c7]Ning Qiang, Qinglin Dong, Yifei Sun, Bao Ge, Tianming Liu:
Deep Variational Autoencoder for Modeling Functional Brain Networks and ADHD Identification. ISBI 2020: 554-557 - [c6]Huan Wang, Qinglin Dong, Ning Qiang, Xin Zhang, Tianming Liu, Bao Ge:
Task fMRI Guided Fiber Clustering via a Deep Clustering Method. ISBI 2020: 1420-1423 - [c5]Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Liang Dong, Tianming Liu, Quanzheng Li:
A Novel fMRI Representation Learning Framework with GAN. MLMI@MICCAI 2020: 21-29 - [c4]Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Tianming Liu, Quanzheng Li:
Discovering Functional Brain Networks with 3D Residual Autoencoder (ResAE). MICCAI (7) 2020: 498-507 - [c3]Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Tianming Liu, Quanzheng Li:
Spatiotemporal Attention Autoencoder (STAAE) for ADHD Classification. MICCAI (7) 2020: 508-517
2010 – 2019
- 2019
- [c2]Qing Li, Qinglin Dong, Fangfei Ge, Ning Qiang, Yu Zhao, Han Wang, Heng Huang, Xia Wu, Tianming Liu:
Simultaneous Spatial-Temporal Decomposition of Connectome-Scale Brain Networks by Deep Sparse Recurrent Auto-Encoders. IPMI 2019: 579-591 - [c1]Ning Qiang, Bao Ge, Qinglin Dong, Fangfei Ge, Tianming Liu:
Neural Architecture Search for Optimizing Deep Belief Network Models of fMRI Data. MMMI@MICCAI 2019: 26-34 - 2018
- [j2]Jie Gao, Ning Qiang:
Multi-objective Optimized Design for Intermediate-Frequency Noise Reduction in Aircraft Cabins. Wirel. Pers. Commun. 102(4): 3737-3747 (2018) - [j1]Jie Gao, Ning Qiang:
Multi-objective Optimized Noise Reduction Design of Complicated Structure-Borne Acoustic Radiation Under Multiple Constrains. Wirel. Pers. Commun. 102(4): 3813-3824 (2018)
Coauthor Index
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last updated on 2024-11-26 20:43 CET by the dblp team
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