Qingyang Li
Qingyang Li
DiDi Research America, DiDi Labs
Verified email at didiglobal.com - Homepage
Title
Cited by
Cited by
Year
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
392014
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
332017
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
272013
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
262016
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
202013
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
172016
Multi-source multi-target dictionary learning for prediction of cognitive decline
J Zhang, Q Li, RJ Caselli, PM Thompson, J Ye, Y Wang
International Conference on Information Processing in Medical Imaging, 184-197, 2017
142017
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
142014
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
122017
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
102019
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, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2016
82016
Parallel lasso screening for big data optimization
Q Li, S Qiu, S Ji, PM Thompson, J Ye, J Wang
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
82016
Multi-task sparse screening for predicting future clinical scores using longitudinal cortical thickness measures
J Zhang, Y Tu, Q Li, RJ Caselli, PM Thompson, J Ye, Y Wang
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
62018
Large-scale feature selection of risk genetic factors for Alzheimer's disease via distributed group lasso regression
Q Li, D Zhu, J Zhang, DP Hibar, N Jahanshad, Y Wang, J Ye, ...
arXiv preprint arXiv:1704.08383, 2017
62017
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, 1-22, 2020
52020
Large-scale classification of major depressive disorder via distributed Lasso
D Zhu, Q Li, BC Riedel, N Jahanshad, DP Hibar, IM Veer, H Walter, ...
Proc. of SPIE Vol 10160, 101600Y-1, 2017
52017
P3‐285: Patch‐Based Sparse Coding and Multivariate Surface Morphometry for Predicting Amnestic Mild Cognitive Impairment and Alzheimer’S Disease in Cognitively Unimpaired …
J Zhang, Y Wang, Q Li, J Shi, R Bauer III, K Chen, EM Reiman, RJ Caselli, ...
Alzheimer's & Dementia 12, P947-P947, 2016
32016
Melancholic depression prediction by identifying representative features in metabolic and microarray profiles with missing values
Z Nie, T Yang, Y Liu, Q Li, VA Narayan, G Wittenberg, J Ye
Pacific Symposium on Biocomputing Co-Chairs, 455-466, 2014
32014
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
22020
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
Unknown Journal, 2017
12017
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