Qunxi Dong, Jie Zhang, Qingyang Li, Junwen Wang, Natasha Leporé, Pau M. Thompson, Richard J. Caselli, Jieping Ye, Yalin Wang. "Integrating Convolutional Neural Networks and Multi-Task Dictionary Learning for Cognitive Decline Prediction with Longitudinal Images".Journal of Alzheimer's Disease, 2020. Impact factor: 3.517.

Mengyue Yang, Qingyang Li, Zhiwei Qin, Jieping Ye. "Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation".In Proceedings of the 29th International Conference on World Wide Web (WWW). 2020. (Full paper, Oral Presentation)

Qunxi Dong, Jie Zhang, Qingyang Li, Pau M. Thompson, Richard J. Caselli, Jieping Ye, Yalin Wang. "Multi-task Dictionary Learning Based on Convolutional Neural Networks for Longitudinal Clinical Score Predictions in Alzheimer’s Disease".International Workshop on Human Brain and Artificial Intelligence (HBAI), 2019.

Wei-Yang Qu, Yang Yu, Qingyang Li, Zhiwei Qin, Mengyue Yang, Yiping Meng, Jieping Ye. "Offline Reinforcement Learning via Trajectory Synthesis".In Proceedings of the 33rd Annual Conference on Neural Information Processing Systems (NIPS). Deep Reinforcement Learning Workshop, 2019.

Wenjie Shang, Yang Yu, Qingyang Li, Zhiwei Qin, Yiping Meng, Jieping Ye. "Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation".Proceedings of the 25th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD). 2019. (Research Track)

Jie Zhang, Yanshuai Tu, Qingyang Li, Richard Caselli, Paul Thompson, Jieping Ye, Yalin Wang. "Multi-Task Sparse Screening for Predicting Future Clinical Scores Using Longitudinal Cortical Thickness Measures". In IEEE International Symposium on BIOMEDICAL IMAGING: From Nano to Macro (ISBI). 2018.

Jinglei Lv, Binbin Lin, Qingyang Li, Wei Zhang, Yu Zhao, Xi Jiang, Lei Guo, Junwei Han, Xintao Hu, Christine Guo, Jieping Ye, Tianming Liu. "Task FMRI Data Analysis Based on Supervised Stochastic Coordinate Coding". Medical Image Analysis. 2017. Impact Factor: 8.88.

Jie Zhang, Yalin Wang, Qingyang Li, Jie Shi, Robert J. Bauer, Kewei Chen, Eric M. Reiman, Richard J Caselli, Cynthia M Stonnington. "Improved prediction of progression to clinical stages of Alzheimer’s Disease using multivariate surface morphometry of MRI biomarkers and patch-based sparse coding". Alzheimer's & Dementia: The Journal of the Alzheimer's Association. 2017. Impact Factor: 14.423.

Jie Zhang, Yonghui Fan, Qingyang Li, Paul Thompson, Jieping Ye, Yalin Wang. "Empowering Cortical Thickness Measures in Clinical Diagnosis of Alzheimer's Disease with Spherical Sparse Coding". In IEEE International Symposium on BIOMEDICAL IMAGING: From Nano to Macro (ISBI). 2017.

Dajiang Zhu, Qingyang Li, Udo Dannlowski, Matthew D Sacchet, Ian H Gotlib, Jieping Ye, Paul M Thompson, "Large-scale classification of major depressive disorder via distributed Lasso". The 12th International Symposium on Medical Information Processing and Analysis (SPIE). 2017.

Jie Zhang*, Qingyang Li* (co-first author), Jieping Ye, Yalin Wang. "Multi-Source Multi-Target Dictionary Learning for Prediction of Cognitive Decline". The 24th biennial international conference on Information Processing in Medical Imaging (IPMI), 2017.

Qingyang Li, Shuang Qiu, Shuiwang Ji, Paul M. Thompson, Jieping Ye, Jie Wang. "Parallel Lasso Screening for Big Data Optimization". Proceedings of the 22nd ACM SIGKDD international conference on Knowledge discovery and data mining (KDD). 2016. (Research Track)

Jie Zhang, Yalin Wang, Qingyang Li, Jie Shi, Robert J. Bauer, Kewei Chen, Eric M. Reiman, Richard J Caselli, Cynthia M Stonnington. "Patch-based Sparse Coding and Multivariate Surface Morphometry for Predicting Amnestic Mild Cognitive Impairment and Alzheimer's Disease in Cognitively Unimpaired Individuals". Alzheimer's & Dementia: The Journal of the Alzheimer's Association. 2016. Impact Factor: 14.423.

Jie Zhang, Cynthia Stonnington, Qingyang Li, Jie Shi, Robert J. Bauer, Boris A. Gutman, Kewei Chen, Eric M. Reiman, Paul M. Thompson, Jieping Ye, Yalin Wang. "Applying sparse coding to surface multivariate tensor-based morphometry to predict future cognitive decline". In IEEE International Symposium on BIOMEDICAL IMAGING: From Nano to Macro (ISBI). 2016.

Jie Zhang, Jie Shi, Cynthia Stonnington, Qingyang Li, Boris A Gutman, Kewei Chen, Eric M Reiman, Richard Caselli, Paul M Thompson, Jieping Ye, Yalin Wang. "Hyperbolic space sparse coding with its application on prediction of Alzheimer’s disease in mild cognitive impairment." The 19th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). 2016.

Qingyang Li, Tao Yang, Liang Zhan, Derrek Paul Hibar, Neda Jahanshad, Yalin Wang, Jieping Ye, Paul M. Thompson, Jie Wang. "Large-scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions". The 19th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). 2016.

Jie Wang, Qingyang Li, Sen Yang, Wei Fan, Peter Wonka, and Jieping Ye. "A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models". Proceedings of the 31st International Conference on Machine Learning (ICML). 2014.

Zhi Nie, Tao yang, Yashu Liu, BinBin Lin, Qingyang Li, Vaibhav A Narayan, Gayle Wittenberg and Jieping Ye. "Melancholic Depression Prediction by Identifying Representative features in Metabolic and Microarray Proles with Missing Values". Pacific Symposium on Biocomputing (PSB). 2014.

Wei-Tek Tsai, Charles J Colbourn, Jie Luo, Guanqiu Qi, Qingyang Li, Xiaoying Bai. "Test Algebra for Combinatorial Testing". The 8th International Workshop on Automation of Software Test (AST). 2013.

Wei-Tek Tsai, Qingyang Li, Charles J Colbourn, Xiaoying Bai. "Adaptive fault detection for testing tenant applications in multi-tenancy SaaS systems". The IEEE International Conference on Cloud Engineering (IC2E). 2013.