| Emotional perception: meta-analyses of face and natural scene processing D Sabatinelli, EE Fortune, Q Li, A Siddiqui, C Krafft, WT Oliver, S Beck, ... Neuroimage 54 (3), 2524-2533, 2011 | 795 | 2011 |
| Task fMRI data analysis based on supervised stochastic coordinate coding J Lv, B Lin, Q Li, W Zhang, Y Zhao, X Jiang, L Guo, J Han, X Hu, C Guo, ... Medical image analysis 38, 1-16, 2017 | 54 | 2017 |
| Environment reconstruction with hidden confounders for reinforcement learning based recommendation W Shang, Y Yu, Q Li, Z Qin, Y Meng, J Ye Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 53 | 2019 |
| Stochastic coordinate coding and its application for drosophila gene expression pattern annotation B Lin, Q Li, Q Sun, MJ Lai, I Davidson, W Fan, J Ye arXiv preprint arXiv:1407.8147, 2014 | 50 | 2014 |
| Offline model-based adaptable policy learning XH Chen, Y Yu, Q Li, FM Luo, Z Qin, W Shang, J Ye Advances in Neural Information Processing Systems 34, 8432-8443, 2021 | 41 | 2021 |
| Applying sparse coding to surface multivariate tensor-based morphometry to predict future cognitive decline J Zhang, C Stonnington, Q Li, J Shi, RJ Bauer, BA Gutman, K Chen, ... 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 646-650, 2016 | 36 | 2016 |
| Test algebra for combinatorial testing WT Tsai, CJ Colbourn, J Luo, G Qi, Q Li, X Bai 2013 8th International Workshop on Automation of Software Test (AST), 19-25, 2013 | 29 | 2013 |
| Multi-task dictionary learning based convolutional neural network for computer aided diagnosis with longitudinal images J Zhang, Q Li, RJ Caselli, J Ye, Y Wang arXiv preprint arXiv:1709.00042, 2017 | 24 | 2017 |
| Multi-source multi-target dictionary learning for prediction of cognitive decline J Zhang, Q Li, RJ Caselli, PM Thompson, J Ye, Y Wang Information Processing in Medical Imaging: 25th International Conference …, 2017 | 24 | 2017 |
| Hyperbolic space sparse coding with its application on prediction of Alzheimer’s disease in mild cognitive impairment J Zhang, J Shi, C Stonnington, Q Li, BA Gutman, K Chen, EM Reiman, ... International Conference on Medical Image Computing and Computer-Assisted …, 2016 | 22 | 2016 |
| Adaptive fault detection for testing tenant applications in multi-tenancy SaaS systems WT Tsai, Q Li, CJ Colbourn, X Bai 2013 IEEE International Conference on Cloud Engineering (IC2E), 183-192, 2013 | 21 | 2013 |
| Hierarchical adaptive contextual bandits for resource constraint based recommendation M Yang, Q Li, Z Qin, J Ye Proceedings of the web conference 2020, 292-302, 2020 | 17 | 2020 |
| Empowering cortical thickness measures in clinical diagnosis of Alzheimer's disease with spherical sparse coding J Zhang, Y Fan, Q Li, PM Thompson, J Ye, Y Wang 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 17 | 2017 |
| Partially observable environment estimation with uplift inference for reinforcement learning based recommendation W Shang, Q Li, Z Qin, Y Yu, Y Meng, J Ye Machine Learning 110 (9), 2603-2640, 2021 | 16 | 2021 |
| A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models J Wang, Q Li, S Yang, W Fan, W Peter, Y Jieping Proceedings of The 31st International Conference on Machine Learning, 235-243, 2014 | 16 | 2014 |
| Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems XH Chen, B He, Y Yu, Q Li, Z Qin, W Shang, J Ye, C Ma ICDE'23: The 39th IEEE International Conference on Data Engineering, 2023 | 15 | 2023 |
| Miccai J Zhang, J Shi, C Stonnington, Q Li, BA Gutman, K Chen, EM Reiman, ... Springer, 2016 | 14 | 2016 |
| Effects of threshold-based incentives on drivers’ labor supply behavior T Liu, Z Xu, D Vignon, Y Yin, Q Li, Z Qin Transportation Research Part C: Emerging Technologies 152, 104140, 2023 | 13 | 2023 |
| Integrating convolutional neural networks and multi-task dictionary learning for cognitive decline prediction with longitudinal images Q Dong, J Zhang, Q Li, J Wang, N Leporé, PM Thompson, RJ Caselli, ... Journal of Alzheimer's Disease 75 (3), 971-992, 2020 | 13 | 2020 |
| Large-scale collaborative imaging genetics studies of risk genetic factors for Alzheimer’s disease across multiple institutions Q Li, T Yang, L Zhan, DP Hibar, N Jahanshad, Y Wang, J Ye, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 12 | 2016 |
Jieping Ye, IEEE Fellow & ACM Distin...Alibaba Groupبريد إلكتروني تم التحقق منه على umich.edu