| Summary of chatgpt-related research and perspective towards the future of large language models Y Liu, T Han, S Ma, J Zhang, Y Yang, J Tian, H He, A Li, M He, Z Liu, Z Wu, ... Meta-Radiology, 100017, 2023 | 672 | 2023 |
| Prompt engineering for healthcare: Methodologies and applications J Wang, E Shi, S Yu, Z Wu, C Ma, H Dai, Q Yang, Y Kang, J Wu, H Hu, ... arXiv preprint arXiv:2304.14670, 2023 | 87 | 2023 |
| Supervised dictionary learning for inferring concurrent brain networks S Zhao, J Han, J Lv, X Jiang, X Hu, Y Zhao, B Ge, L Guo, T Liu IEEE transactions on medical imaging 34 (10), 2036-2045, 2015 | 86 | 2015 |
| Review of large vision models and visual prompt engineering J Wang, Z Liu, L Zhao, Z Wu, C Ma, S Yu, H Dai, Q Yang, Y Liu, S Zhang, ... Meta-Radiology, 100047, 2023 | 81 | 2023 |
| Rapid adsorption and photocatalytic activity for Rhodamine B and Cr (VI) by ultrathin BiOI nanosheets with highly exposed {001} facets J Han, G Zhu, M Hojamberdiev, J Peng, X Zhang, Y Liu, B Ge, P Liu New Journal of Chemistry 39 (3), 1874-1882, 2015 | 80 | 2015 |
| AgriBERT: Knowledge-Infused Agricultural Language Models for Matching Food and Nutrition. S Rezayi, Z Liu, Z Wu, C Dhakal, B Ge, C Zhen, T Liu, S Li IJCAI, 5150-5156, 2022 | 37 | 2022 |
| Modeling task-based fMRI data via deep belief network with neural architecture search N Qiang, Q Dong, W Zhang, B Ge, F Ge, H Liang, Y Sun, J Gao, T Liu Computerized Medical Imaging and Graphics 83, 101747, 2020 | 37 | 2020 |
| Survey on natural language processing in medical image analysis. Z Liu, M He, Z Jiang, Z Wu, H Dai, L Zhang, S Luo, T Han, X Li, X Jiang, ... Zhong nan da xue xue bao. Yi xue ban= Journal of Central South University …, 2022 | 31 | 2022 |
| Deep variational autoencoder for mapping functional brain networks N Qiang, Q Dong, F Ge, H Liang, B Ge, S Zhang, Y Sun, J Gao, T Liu IEEE Transactions on Cognitive and Developmental Systems 13 (4), 841-852, 2020 | 31 | 2020 |
| Connectome-scale group-wise consistent resting-state network analysis in autism spectrum disorder Y Zhao, H Chen, Y Li, J Lv, X Jiang, F Ge, T Zhang, S Zhang, B Ge, C Lyu, ... NeuroImage: Clinical 12, 23-33, 2016 | 31 | 2016 |
| Understanding llms: A comprehensive overview from training to inference Y Liu, H He, T Han, X Zhang, M Liu, J Tian, Y Zhang, J Wang, X Gao, ... arXiv preprint arXiv:2401.02038, 2024 | 29 | 2024 |
| Synthesis RMn2O5 (R= Gd and Sm) nano-and microstructures by a simple hydrothermal method G Zhu, P Liu, M Hojamberdiev, B Ge, Y Liu, H Miao, G Tan Materials Chemistry and Physics 118 (2-3), 467-472, 2009 | 27 | 2009 |
| Large language models for robotics: Opportunities, challenges, and perspectives J Wang, Z Wu, Y Li, H Jiang, P Shu, E Shi, H Hu, C Ma, Y Liu, X Wang, ... arXiv preprint arXiv:2401.04334, 2024 | 25 | 2024 |
| A novel ADHD classification method based on resting state temporal templates (RSTT) using spatiotemporal attention auto-encoder N Qiang, Q Dong, H Liang, B Ge, S Zhang, C Zhang, J Gao, Y Sun Neural Computing and Applications 34 (10), 7815-7833, 2022 | 23 | 2022 |
| Modeling and augmenting of fMRI data using deep recurrent variational auto-encoder N Qiang, Q Dong, H Liang, B Ge, S Zhang, Y Sun, C Zhang, W Zhang, ... Journal of neural engineering 18 (4), 0460b6, 2021 | 22 | 2021 |
| Exploring new frontiers in agricultural nlp: Investigating the potential of large language models for food applications S Rezayi, Z Liu, Z Wu, C Dhakal, B Ge, H Dai, G Mai, N Liu, C Zhen, T Liu, ... IEEE Transactions on Big Data, 2024 | 18 | 2024 |
| Evaluating large language models for radiology natural language processing Z Liu, T Zhong, Y Li, Y Zhang, Y Pan, Z Zhao, P Dong, C Cao, Y Liu, ... arXiv preprint arXiv:2307.13693, 2023 | 18 | 2023 |
| Signal sampling for efficient sparse representation of resting state FMRI data B Ge, M Makkie, J Wang, S Zhao, X Jiang, X Li, J Lv, S Zhang, W Zhang, ... Brain imaging and behavior 10, 1206-1222, 2016 | 18 | 2016 |
| Resting state fMRI-guided fiber clustering: methods and applications B Ge, L Guo, T Zhang, X Hu, J Han, T Liu Neuroinformatics 11, 119-133, 2013 | 18 | 2013 |
| HAFNI-enabled largescale platform for neuroimaging informatics (HELPNI) M Makkie, S Zhao, X Jiang, J Lv, Y Zhao, B Ge, X Li, J Han, T Liu Brain informatics 2, 225-238, 2015 | 17 | 2015 |
Tianming LiuDistinguished Research Professor of Computer Science, University of Georgia在 cs.uga.edu 的电子邮件经过验证
Tianming LiuDistinguished Research Professor of Computer Science, University of Georgia在 cs.uga.edu 的电子邮件经过验证