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2020 – today
- 2025
[j16]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. Neurocomputing 620: 129190 (2025)- 2024
- [j15]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) - [c20]Tianle Han, Yifan Lv, Mengshen He, Yiheng Liu, Tianming Liu, Bao Ge:
Brain Cortical Surface Can Predict Fiber Trajectories. ISBI 2024: 1-4 - [i14]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) - [i13]Jiaqi Wang, Zihao Wu, Yiwei Li, Hanqi Jiang, Peng Shu, Enze Shi, Huawen Hu, Chong Ma, Yiheng Liu, Xuhui Wang, Yincheng Yao, Xuan Liu, Huaqin Zhao, Zhengliang Liu, Haixing Dai, Lin Zhao, Bao Ge, Xiang Li, Tianming Liu, Shu Zhang:
Large Language Models for Robotics: Opportunities, Challenges, and Perspectives. CoRR abs/2401.04334 (2024) - [i12]Jiayue Zhang, Yiheng Liu, Wenqi Cai, Yali Peng, Senqing Qi, Taotao Long, Bao Ge:
Investigation of the effectiveness of applying ChatGPT in Dialogic Teaching Using Electroencephalography. CoRR abs/2403.16687 (2024) - [i11]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) - [i10]Wenjun Li, Ying Cai, Ziyang Wu, Wenyi Zhang, Yifan Chen, Rundong Qi, Mengqi Dong, Peigen Chen, Xiao Dong, Fenghao Shi, Lei Guo, Junwei Han, Bao Ge, Tianming Liu, Lin Gan, Tuo Zhang:
A Survey of Foundation Models for Music Understanding. CoRR abs/2409.09601 (2024) - [i9]Tianyang Zhong, Zhengliang Liu, Yi Pan, Yutong Zhang, Yifan Zhou, Shizhe Liang, Zihao Wu, Yanjun Lyu, Peng Shu, Xiaowei Yu, Chao Cao, Hanqi Jiang, Hanxu Chen, Yiwei Li, Junhao Chen, Huawen Hu, Yihen Liu, Huaqin Zhao, Shaochen Xu, Haixing Dai, Lin Zhao, Ruidong Zhang, Wei Zhao, Zhenyuan Yang, Jingyuan Chen, Peilong Wang, Wei Ruan, Hui Wang, Huan Zhao, Jing Zhang, Yiming Ren, Shihuan Qin, Tong Chen, Jiaxi Li, Arif Hassan Zidan, Afrar Jahin, Minheng Chen, Sichen Xia, Jason Holmes, Yan Zhuang, Jiaqi Wang, Bochen Xu, Weiran Xia, Jichao Yu, Kaibo Tang, Yaxuan Yang, Bolun Sun, Tao Yang, Guoyu Lu, Xianqiao Wang, Lilong Chai, He Li, Jin Lu, Lichao Sun, Xin Zhang, Bao Ge, Xintao Hu, Lian Zhang, Hua Zhou, Lu Zhang, Shu Zhang, Ninghao Liu, Bei Jiang, Linglong Kong, Zhen Xiang, Yudan Ren, Jun Liu, Xi Jiang, Yu Bao, Wei Zhang, Xiang Li, Gang Li, Wei Liu, Dinggang Shen, Andrea Sikora, Xiaoming Zhai, Dajiang Zhu, Tianming Liu:
Evaluation of OpenAI o1: Opportunities and Challenges of AGI. CoRR abs/2409.18486 (2024) - 2023
- [j14]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) - [j13]Xinlei Jia, Yali Peng, Bao Ge, Jun Li, Shigang Liu, Wenan Wang:
A Multi-scale Dilated Residual Convolution Network for Image Denoising. Neural Process. Lett. 55(2): 1231-1246 (2023) - [j12]Yijin Wang, Yali Peng, Shigang Liu, Bao Ge, Jun Li:
A two-phase projective dictionary pair learning-based classification scheme for positive and unlabeled learning. Pattern Anal. Appl. 26(3): 1253-1263 (2023) - [c19]Zili Kang, Yifan Lv, Mengshen He, Yiheng Liu, Tianming Liu, Bao Ge:
Brain Surface Can Predict Fiber Connections. ISBI 2023: 1-4 - [c18]Yiheng Liu, Enjie Ge, Ning Qiang, Tianming Liu, Bao Ge:
Spatial-Temporal Convolutional Attention for Mapping Functional Brain Networks. ISBI 2023: 1-4 - [i8]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) - [i7]Jiaqi Wang, Enze Shi, Sigang Yu, Zihao Wu, Chong Ma, Haixing Dai, Qiushi Yang, Yanqing Kang, Jinru Wu, Huawen Hu, Chenxi Yue, Haiyang Zhang, Yiheng Liu, Xiang Li, Bao Ge, Dajiang Zhu, Yixuan Yuan, Dinggang Shen, Tianming Liu, Shu Zhang:
Prompt Engineering for Healthcare: Methodologies and Applications. CoRR abs/2304.14670 (2023) - [i6]Saed Rezayi, Zhengliang Liu, Zihao Wu, Chandra Dhakal, Bao Ge, Haixing Dai, Gengchen Mai, Ninghao Liu, Chen Zhen, Tianming Liu, Sheng Li:
Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications. CoRR abs/2306.11892 (2023) - [i5]Jiaqi Wang, Zhengliang Liu, Lin Zhao, Zihao Wu, Chong Ma, Sigang Yu, Haixing Dai, Qiushi Yang, Yiheng Liu, Songyao Zhang, Enze Shi, Yi Pan, Tuo Zhang, Dajiang Zhu, Xiang Li, Xi Jiang, Bao Ge, Yixuan Yuan, Dinggang Shen, Tianming Liu, Shu Zhang:
Review of Large Vision Models and Visual Prompt Engineering. CoRR abs/2307.00855 (2023) - [i4]Zhengliang Liu, Tianyang Zhong, Yiwei Li, Yutong Zhang, Yi Pan, Zihao Zhao, Peixin Dong, Chao Cao, Yuxiao Liu, Peng Shu, Yaonai Wei, Zihao Wu, Chong Ma, Jiaqi Wang, Sheng Wang, Mengyue Zhou, Zuowei Jiang, Chunlin Li, Jason Holmes, Shaochen Xu, Lu Zhang, Haixing Dai, Kai Zhang, Lin Zhao, Yuanhao Chen, Xu Liu, Peilong Wang, Pingkun Yan, Jun Liu, Bao Ge, Lichao Sun, Dajiang Zhu, Xiang Li, Wei Liu, Xiaoyan Cai, Xintao Hu, Xi Jiang, Shu Zhang, Xin Zhang, Tuo Zhang, Shijie Zhao, Quanzheng Li, Hongtu Zhu, Dinggang Shen, Tianming Liu:
Evaluating Large Language Models for Radiology Natural Language Processing. CoRR abs/2307.13693 (2023) - [i3]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
- [j11]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) - [j10]Xinlei Jia, Yali Peng, Jun Li, Yunhong Xin, Bao Ge, Shigang Liu:
Pyramid dilated convolutional neural network for image denoising. J. Electronic Imaging 31(2) (2022) - [j9]Xinlei Jia, Yali Peng, Jun Li, Bao Ge, Yunhong Xin, Shigang Liu:
Dual-Complementary Convolution Network for Remote-Sensing Image Denoising. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (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) - [c17]Saed Rezayi, Zhengliang Liu, Zihao Wu, Chandra Dhakal, Bao Ge, Chen Zhen, Tianming Liu, Sheng Li:
AgriBERT: Knowledge-Infused Agricultural Language Models for Matching Food and Nutrition. IJCAI 2022: 5150-5156 - [c16]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 - [c15]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 - [i2]Yiheng Liu, Enjie Ge, Mengshen He, Zhengliang Liu, Shijie Zhao, Xintao Hu, Dajiang Zhu, Tianming Liu, Bao Ge:
Discovering Dynamic Functional Brain Networks via Spatial and Channel-wise Attention. CoRR abs/2205.09576 (2022) - [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]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
- [j6]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) - [c14]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 - [c13]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
2010 – 2019
- 2019
- [c12]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
- [j5]Bao Ge, Xiang Li, Xi Jiang, Yifei Sun, Tianming Liu:
A Dictionary Learning Approach for Signal Sampling in Task-Based fMRI for Reduction of Big Data. Frontiers Neuroinformatics 12: 17 (2018) - 2016
- [c11]Shijie Zhao, Junwei Han, Xi Jiang, Xintao Hu, Jinglei Lv, Shu Zhang, Bao Ge, Lei Guo, Tianming Liu:
Exploring auditory network composition during free listening to audio excerpts via group-wise sparse representation. ICME 2016: 1-6 - 2015
- [j4]Milad Makkie, Shijie Zhao, Xi Jiang, Jinglei Lv, Yu Zhao, Bao Ge, Xiang Li, Junwei Han, Tianming Liu:
HAFNI-enabled largescale platform for neuroimaging informatics (HELPNI). Brain Informatics 2(4): 225-238 (2015) - [j3]Shijie Zhao, Junwei Han, Jinglei Lv, Xi Jiang, Xintao Hu, Yu Zhao, Bao Ge, Lei Guo, Tianming Liu:
Supervised Dictionary Learning for Inferring Concurrent Brain Networks. IEEE Trans. Medical Imaging 34(10): 2036-2045 (2015) - [c10]Fangfei Ge, Jinglei Lv, Xintao Hu, Bao Ge, Lei Guo, Junwei Han, Tianming Liu:
Deriving ADHD biomarkers with sparse coding based network analysis. ISBI 2015: 22-25 - [c9]Tuo Zhang, Hanbo Chen, Xi Jiang, Bao Ge, Lei Guo, Tianming Liu:
Group-wise consistent sulcal fundi segmentation based on DMRI-derived ODF features. ISBI 2015: 638-641 - [c8]Shu Zhang, Xiang Li, Jinglei Lv, Xi Jiang, Bao Ge, Lei Guo, Tianming Liu:
Characterizing and differentiating task-based and resting state FMRI signals via two-stage dictionary learning. ISBI 2015: 675-678 - [c7]Ke Jing, Tuo Zhang, Jianfeng Lu, Hanbo Chen, Xi Jiang, Lei Guo, Longchuan Li, Xiaoping Hu, Jinglei Lv, Bao Ge, Tianming Liu:
Multiscale and multimodal fusion of tract-tracing and DTI-derived fibers in macaque brains. ISBI 2015: 938-942 - [c6]Bao Ge, Jin Wang, Jinglei Lv, Shu Zhang, Shijie Zhao, Wei Zhang, Qinghua Zhao, Xiang Li, Xi Jiang, Junwei Han, Lei Guo, Tianming Liu:
Signal sampling for efficient sparse representation of resting state FMRI data. ISBI 2015: 1360-1363 - 2013
- [j2]Tuo Zhang, Dajiang Zhu, Xi Jiang, Bao Ge, Xintao Hu, Junwei Han, Lei Guo, Tianming Liu:
Predicting cortical ROIs via joint modeling of anatomical and connectional profiles. Medical Image Anal. 17(6): 601-615 (2013) - [j1]Bao Ge, Lei Guo, Tuo Zhang, Xintao Hu, Junwei Han, Tianming Liu:
Resting State fMRI-guided Fiber Clustering: Methods and Applications. Neuroinformatics 11(1): 119-133 (2013) - [c5]Bao Ge, Lei Guo, Dajiang Zhu, Tuo Zhang, Xintao Hu, Junwei Han, Tianming Liu:
Construction of Multi-scale Common Brain Networks Based on DICCCOL. IPMI 2013: 692-704 - [c4]Bao Ge, Lei Guo, Tuo Zhang, Dajiang Zhu, Xintao Hu, Junwei Han, Tianming Liu:
Construction of multi-scale brain networks via DICCCOL landmarks. ISBI 2013: 680-683 - 2012
- [c3]Bao Ge, Lei Guo, Tuo Zhang, Dajiang Zhu, Kaiming Li, Xintao Hu, Junwei Han, Tianming Liu:
Group-Wise Consistent Fiber Clustering Based on Multimodal Connectional and Functional Profiles. MICCAI (3) 2012: 485-492 - 2011
- [c2]Bao Ge, Lei Guo, Jinglei Lv, Xintao Hu, Junwei Han, Tuo Zhang, Tianming Liu:
Resting State fMRI-Guided Fiber Clustering. MICCAI (2) 2011: 149-156 - 2010
- [c1]Bao Ge, Lei Guo, Kaiming Li, Hai Li, Carlos Faraco, Qun Zhao, L. Stephen Miller, Tianming Liu:
Automatic clustering of white matter fibers based on symbolic sequence analysis. Image Processing 2010: 762327
Coauthor Index
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