Automatic clustering of white matter fibers based on symbolic sequence analysis. - Bao Ge; Lei Guo 002; Kaiming Li; Hai Li 006; Carlos Faraco; Qun Zhao; L. Stephen Miller; Tianming Liu 001 (Image Processing, 2010)

Resting State fMRI-Guided Fiber Clustering. - Bao Ge; Lei Guo 002; Jinglei Lv; Xintao Hu; Junwei Han 001; Tuo Zhang; Tianming Liu 001 (MICCAI (2), 2011)

Group-Wise Consistent Fiber Clustering Based on Multimodal Connectional and Functional Profiles. - Bao Ge; Lei Guo 002; Tuo Zhang; Dajiang Zhu; Kaiming Li; Xintao Hu; Junwei Han 001; Tianming Liu 001 (MICCAI (3), 2012)

Construction of Multi-scale Common Brain Networks Based on DICCCOL. - Bao Ge; Lei Guo 002; Dajiang Zhu; Tuo Zhang; Xintao Hu; Junwei Han 001; Tianming Liu 001 (IPMI, 2013)

Construction of multi-scale brain networks via DICCCOL landmarks. - Bao Ge; Lei Guo 002; Tuo Zhang; Dajiang Zhu; Xintao Hu; Junwei Han 001; Tianming Liu 001 (ISBI, 2013)

Predicting cortical ROIs via joint modeling of anatomical and connectional profiles. - Tuo Zhang; Dajiang Zhu; Xi Jiang 001; Bao Ge; Xintao Hu; Junwei Han 001; Lei Guo 002; Tianming Liu 001 (Medical Image Anal., 2013)

Resting State fMRI-guided Fiber Clustering: Methods and Applications. - Bao Ge; Lei Guo 002; Tuo Zhang; Xintao Hu; Junwei Han 001; Tianming Liu 001 (Neuroinformatics, 2013)

Deriving ADHD biomarkers with sparse coding based network analysis. - Fangfei Ge; Jinglei Lv; Xintao Hu; Bao Ge; Lei Guo 002; Junwei Han 001; Tianming Liu 001 (ISBI, 2015)

Signal sampling for efficient sparse representation of resting state FMRI data. - Bao Ge; Jin Wang; Jinglei Lv; Shu Zhang 001; Shijie Zhao 001; Wei Zhang 090; Qinghua Zhao; Xiang Li 001; Xi Jiang 001; Junwei Han 001; Lei Guo 002; Tianming Liu 001 (ISBI, 2015)

Multiscale and multimodal fusion of tract-tracing and DTI-derived fibers in macaque brains. - Ke Jing; Tuo Zhang; Jianfeng Lu 003; Hanbo Chen; Xi Jiang 001; Lei Guo 002; Longchuan Li; Xiaoping Hu 001; Jinglei Lv; Bao Ge; Tianming Liu 001 (ISBI, 2015)

Group-wise consistent sulcal fundi segmentation based on DMRI-derived ODF features. - Tuo Zhang; Hanbo Chen; Xi Jiang 001; Bao Ge; Lei Guo 002; Tianming Liu 001 (ISBI, 2015)

Characterizing and differentiating task-based and resting state FMRI signals via two-stage dictionary learning. - Shu Zhang 001; Xiang Li 001; Jinglei Lv; Xi Jiang 001; Bao Ge; Lei Guo 002; Tianming Liu 001 (ISBI, 2015)

HAFNI-enabled largescale platform for neuroimaging informatics (HELPNI). - Milad Makkie; Shijie Zhao 001; Xi Jiang 001; Jinglei Lv; Yu Zhao 007; Bao Ge; Xiang Li 001; Junwei Han 001; Tianming Liu 001 (Brain Informatics, 2015)

Supervised Dictionary Learning for Inferring Concurrent Brain Networks. - Shijie Zhao 001; Junwei Han 001; Jinglei Lv; Xi Jiang 001; Xintao Hu; Yu Zhao 007; Bao Ge; Lei Guo 002; Tianming Liu 001 (IEEE Trans. Medical Imaging, 2015)

Exploring auditory network composition during free listening to audio excerpts via group-wise sparse representation. - Shijie Zhao 001; Junwei Han 001; Xi Jiang 001; Xintao Hu; Jinglei Lv; Shu Zhang 001; Bao Ge; Lei Guo 002; Tianming Liu 001 (ICME, 2016)

A Dictionary Learning Approach for Signal Sampling in Task-Based fMRI for Reduction of Big Data. - Bao Ge; Xiang Li 001; Xi Jiang 001; Yifei Sun; Tianming Liu 001 (Frontiers Neuroinformatics, 2018)

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)

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)

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)

AgriBERT: Knowledge-Infused Agricultural Language Models for Matching Food and Nutrition. - Saed Rezayi; Zhengliang Liu; Zihao Wu 001; Chandra Dhakal; Bao Ge; Chen Zhen; Tianming Liu 001; Sheng Li 001 (IJCAI, 2022)

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)

Discovering Dynamic Functional Brain Networks via Spatial and Channel-wise Attention. - Yiheng Liu; Enjie Ge; Mengshen He; Zhengliang Liu; Shijie Zhao 001; Xintao Hu; Dajiang Zhu; Tianming Liu 001; Bao Ge (CoRR, 2022)

Pyramid dilated convolutional neural network for image denoising. - Xinlei Jia; Yali Peng; Jun Li 033; Yunhong Xin; Bao Ge; Shigang Liu (J. Electronic Imaging, 2022)

Dual-Complementary Convolution Network for Remote-Sensing Image Denoising. - Xinlei Jia; Yali Peng; Jun Li 033; Bao Ge; Yunhong Xin; Shigang Liu (IEEE Geosci. Remote. Sens. Lett., 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)

Brain Surface Can Predict Fiber Connections. - Zili Kang; Yifan Lv; Mengshen He; Yiheng Liu; Tianming Liu 001; Bao Ge (ISBI, 2023)

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)

Prompt Engineering for Healthcare: Methodologies and Applications. - Jiaqi Wang 010; Enze Shi; Sigang Yu; Zihao Wu 001; Chong Ma; Haixing Dai; Qiushi Yang; Yanqing Kang; Jinru Wu; Huawen Hu; Chenxi Yue; Haiyang Zhang; et al. (CoRR, 2023)

Review of Large Vision Models and Visual Prompt Engineering. - Jiaqi Wang 010; Zhengliang Liu; Lin Zhao 004; Zihao Wu 001; Chong Ma; Sigang Yu; Haixing Dai; Qiushi Yang; Yiheng Liu; Songyao Zhang; Enze Shi; Yi Pan 001; et al. (CoRR, 2023)

Evaluating Large Language Models for Radiology Natural Language Processing. - Zhengliang Liu; Tianyang Zhong; Yiwei Li 002; Yutong Zhang; Yi Pan 001; Zihao Zhao 002; Peixin Dong; Chao Cao; Yuxiao Liu; Peng Shu; Yaonai Wei; Zihao Wu 001; 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)

A Multi-scale Dilated Residual Convolution Network for Image Denoising. - Xinlei Jia; Yali Peng; Bao Ge; Jun Li 033; Shigang Liu; Wenan Wang (Neural Process. Lett., 2023)

A two-phase projective dictionary pair learning-based classification scheme for positive and unlabeled learning. - Yijin Wang; Yali Peng; Shigang Liu; Bao Ge; Jun Li 033 (Pattern Anal. Appl., 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)

Brain Cortical Surface Can Predict Fiber Trajectories. - Tianle Han; Yifan Lv; Mengshen He; Yiheng Liu; Tianming Liu 001; Bao Ge (ISBI, 2024)

Large Language Models for Robotics: Opportunities, Challenges, and Perspectives. - Jiaqi Wang 010; Zihao Wu 001; Yiwei Li 002; Hanqi Jiang; Peng Shu; Enze Shi; Huawen Hu; Chong Ma; Yiheng Liu; Xuhui Wang; Yincheng Yao; Xuan Liu; et al. (CoRR, 2024)

Investigation of the effectiveness of applying ChatGPT in Dialogic Teaching Using Electroencephalography. - Jiayue Zhang; Yiheng Liu; Wenqi Cai; Yali Peng; Senqing Qi; Taotao Long; Bao Ge (CoRR, 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)

A Survey of Foundation Models for Music Understanding. - Wenjun Li 001; Ying Cai; Ziyang Wu; Wenyi Zhang; Yifan Chen; Rundong Qi; Mengqi Dong; Peigen Chen; Xiao Dong; Fenghao Shi; Lei Guo 002; Junwei Han 001; et al. (CoRR, 2024)

Evaluation of OpenAI o1: Opportunities and Challenges of AGI. - Tianyang Zhong; Zhengliang Liu; Yi Pan 001; Yutong Zhang; Yifan Zhou; Shizhe Liang; Zihao Wu 001; Yanjun Lyu; Peng Shu; Xiaowei Yu; Chao Cao; Hanqi Jiang; 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)

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)

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)

Brain-Inspired Exploration of Functional Networks and Key Neurons in Large Language Models. - Yiheng Liu; Xiaohui Gao; Haiyang Sun; Bao Ge; Tianming Liu 001; Junwei Han 001; Xintao Hu (CoRR, 2025)

Bridging Technology and Humanities: Evaluating the Impact of Large Language Models on Social Sciences Research with DeepSeek-R1. - Peiran Gu; Fuhao Duan; Wenhao Li; Bochen Xu; Ying Cai; Teng Yao; Chenxun Zhuo; Tianming Liu 001; Bao Ge (CoRR, 2025)

Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications. - Saed Rezayi; Zhengliang Liu; Zihao Wu 001; Chandra Dhakal; Bao Ge; Haixing Dai; Gengchen Mai; Ninghao Liu; Chen Zhen; Tianming Liu 001; Sheng Li 001 (IEEE Trans. Big Data, 2025)

SwinECAT: A Transformer-based fundus disease classification model with Shifted Window Attention and Efficient Channel Attention. - Peiran Gu; Teng Yao; Mengshen He; Fuhao Duan; Feiyan Liu; RenYuan Peng; Bao Ge (CoRR, 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)