Effective long-context scaling of foundation models W Xiong, J Liu, I Molybog, H Zhang, P Bhargava, R Hou, L Martin, ... arXiv preprint arXiv:2309.16039, 2023 | 173 | 2023 |
Attention to automatic movements in Parkinson's disease: modified automatic mode in the striatum T Wu, J Liu, H Zhang, M Hallett, Z Zheng, P Chan Cerebral Cortex 25 (10), 3330-3342, 2015 | 124 | 2015 |
BrainIAK tutorials: User-friendly learning materials for advanced fMRI analysis M Kumar, CT Ellis, Q Lu, H Zhang, M Capotă, TL Willke, PJ Ramadge, ... PLoS computational biology 16 (1), e1007549, 2020 | 64 | 2020 |
BrainIAK: the brain imaging analysis kit M Kumar, MJ Anderson, JW Antony, C Baldassano, PP Brooks, MB Cai, ... Aperture neuro 1 (4), 10.52294/31bb5b68-2184-411b-8c00-a1dacb61e1da, 2022 | 50 | 2022 |
Transfer learning on fMRI datasets H Zhang, PH Chen, P Ramadge International conference on artificial intelligence and statistics, 595-603, 2018 | 38 | 2018 |
A convolutional autoencoder for multi-subject fMRI data aggregation PH Chen, X Zhu, H Zhang, JS Turek, J Chen, TL Willke, U Hasson, ... arXiv preprint arXiv:1608.04846, 2016 | 33 | 2016 |
Multitask metric learning: Theory and algorithm B Wang, H Zhang, P Liu, Z Shen, J Pineau The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 24 | 2019 |
Incorporating structured assumptions with probabilistic graphical models in fMRI data analysis MB Cai, M Shvartsman, A Wu, H Zhang, X Zhu Neuropsychologia 144, 107500, 2020 | 21 | 2020 |
A searchlight factor model approach for locating shared information in multi-subject fMRI analysis H Zhang, PH Chen, J Chen, X Zhu, JS Turek, TL Willke, U Hasson, ... arXiv preprint arXiv:1609.09432, 2016 | 17 | 2016 |
Segmenting brain tumors with symmetry H Zhang, X Zhu, TL Willke arXiv preprint arXiv:1711.06636, 2017 | 11 | 2017 |
Scale-and orientation-invariant keypoints in higher-dimensional data B Rister, D Reiter, H Zhang, D Volz, M Horowitz, RE Gabr, JR Cavallaro 2015 IEEE International Conference on Image Processing (ICIP), 3490-3494, 2015 | 11 | 2015 |
The perfect blend: Redefining RLHF with mixture of judges T Xu, E Helenowski, KA Sankararaman, D Jin, K Peng, E Han, S Nie, ... arXiv preprint arXiv:2409.20370, 2024 | 7 | 2024 |
Improving model factuality with fine-grained critique-based evaluator Y Xie, W Zhou, P Prakash, D Jin, Y Mao, Q Fettes, A Talebzadeh, S Wang, ... arXiv preprint arXiv:2410.18359, 2024 | 5 | 2024 |
System Design of Extreme Multi-label Query Classification using a Hybrid Model. X Liu, H Zhang, M Liu, A Lu eCOM@ SIGIR, 2019 | 4 | 2019 |
Multi-if: Benchmarking llms on multi-turn and multilingual instructions following Y He, D Jin, C Wang, C Bi, K Mandyam, H Zhang, C Zhu, N Li, T Xu, H Lv, ... arXiv preprint arXiv:2410.15553, 2024 | 3 | 2024 |
Machine learning for multi-subject fmri analysis H Zhang Princeton University, 2020 | | 2020 |
BrainIAK Education: User-Friendly Tutorials for Advanced, Computationally-Intensive fMRI Analysis M Kumar, CT Ellis, Q Lu, H Zhang, PJ Ramadge, KA Norman, ... | | |
Transfer Learning on fMRI Datasets Supplementary Material H Zhang, PH Chen, PJ Ramadge | | |