Qi Long

According to our database, Qi Long authored at least 54 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Robust knowledge-guided biclustering for multi-omics data.

Qiyiwen Zhang, Changgee Chang, Qi Long

Briefings Bioinform., November, 2023

Brain-wide genome-wide colocalization study for integrating genetics, transcriptomics and brain morphometry in Alzheimer's disease.

Jingxuan Bao, Junhao Wen, Zixuan Wen, Shu Yang, Yuhan Cui, Zhijian Yang, Güray Erus, Andrew J. Saykin, Qi Long, Christos Davatzikos, Li Shen

NeuroImage, October, 2023

Place-Centered Bus Accessibility Time Series Classification with Floating Car Data: An Actual Isochrone and Dynamic Time Warping Distance-Based k-Medoids Method.

Chen Wang, Si-jia Zhao, Zongqiang Ren, Qi Long

ISPRS Int. J. Geo Inf., July, 2023

Integrative learning of structured high-dimensional data from multiple datasets.

Changgee Chang, Zongyu Dai, Jihwan Oh, Qi Long

Stat. Anal. Data Min., April, 2023

Temporal and Spatial Change in Vegetation and Its Interaction with Climate Change in Argentina from 1982 to 2015.

Qi Long, Fei Wang, Wenyan Ge, Feng Jiao, Jianqiao Han, Hao Chen, Fidel Alejandro Roig, Elena María Abraham, Mengxia Xie, Lu Cai

Remote. Sens., April, 2023

Testing Biased Randomization Assumptions and Quantifying Imperfect Matching and Residual Confounding in Matched Observational Studies.

Kan Chen, Siyu Heng, Qi Long, Bo Zhang

J. Comput. Graph. Stat., April, 2023

Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?

Amelia L. M. Tan, Emily J. Getzen, Meghan R. Hutch, Zachary H. Strasser, Alba Gutiérrez-Sacristán, Trang T. Le, Arianna Dagliati, Michele Morris, David A. Hanauer, Bertrand Moal, Clara-Lea Bonzel, William Yuan, Lorenzo Chiudinelli, Priam Das, Harrison G. Zhang, Bruce J. Aronow, Paul Avillach, Gabriel A. Brat, Tianxi Cai, Chuan Hong, William G. La Cava, He Hooi Will Loh, Yuan Luo, Shawn N. Murphy, Kee Yuan Hgiam, Gilbert S. Omenn, Lav P. Patel, Malarkodi J. Samayamuthu, Emily R. Shriver, Zahra Shakeri Hossein Abad, Byorn W. L. Tan, Shyam Visweswaran, Xuan Wang, Griffin M. Weber, Zongqi Xia, Bertrand Verdy, Qi Long, Danielle L. Mowery, John H. Holmes

J. Biomed. Informatics, March, 2023

Mining for equitable health: Assessing the impact of missing data in electronic health records.

Emily J. Getzen, Lyle H. Ungar, Danielle L. Mowery, Xiaoqian Jiang, Qi Long

J. Biomed. Informatics, March, 2023

Integrative analysis of multi-omics and imaging data with incorporation of biological information via structural Bayesian factor analysis.

Jingxuan Bao, Changgee Chang, Qiyiwen Zhang, Andrew J. Saykin, Li Shen, Qi Long

Briefings Bioinform., March, 2023

Fairness-aware class imbalanced learning on multiple subgroups.

Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Qi Long, Li Shen

Proceedings of the Uncertainty in Artificial Intelligence, 2023

MISNN: Multiple Imputation via Semi-parametric Neural Networks.

Zhiqi Bu, Zongyu Dai, Yiliang Zhang, Qi Long

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Fair Canonical Correlation Analysis.

Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Jia Xu, Yanbo Feng, Qi Long, Li Shen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-Group Tensor Canonical Correlation Analysis.

Zhuoping Zhou, Boning Tong, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Qi Long, Li Shen

Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

2022

Low-Complexity Joint 3D Super-Resolution Estimation of Range Velocity and Angle of Multi-Targets Based on FMCW Radar.

Yingchun Li, Qi Long, Zhongjie Wu, Zhiquan Zhou

Sensors, 2022

Multi-task learning based structured sparse canonical correlation analysis for brain imaging genetics.

Mansu Kim, Eun Jeong Min, Kefei Liu, Jingwen Yan, Andrew J. Saykin, Jason H. Moore, Qi Long, Li Shen

Medical Image Anal., 2022

Covariate-Balancing-Aware Interpretable Deep Learning models for Treatment Effect Estimation.

Kan Chen, Qishuo Yin, Qi Long

CoRR, 2022

Deep multiview learning to identify imaging-driven subtypes in mild cognitive impairment.

Yixue Feng, Mansu Kim, Xiaohui Yao, Kefei Liu, Qi Long, Li Shen

BMC Bioinform., 2022

Integrating multi-omics summary data using a Mendelian randomization framework.

Chong Jin, Brian Lee, Li Shen, Qi Long

Briefings Bioinform., 2022

Differentially Private Bayesian Neural Networks on Accuracy, Privacy and Reliability.

Qiyiwen Zhang, Zhiqi Bu, Kan Chen, Qi Long

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Preference Matrix Guided Sparse Canonical Correlation Analysis for Genetic Study of Quantitative Traits in Alzheimer's Disease.

Jiahang Sha, Jingxuan Bao, Kefei Liu, Shu Yang, Zixuan Wen, Yuhan Cui, Junhao Wen, Christos Davatzikos, Jason H. Moore, Andrew J. Saykin, Qi Long, Li Shen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data.

Zongyu Dai, Zhiqi Bu, Qi Long

Proceedings of the Asian Conference on Machine Learning, 2022

2021

Fairness in Missing Data Imputation.

Yiliang Zhang, Qi Long

CoRR, 2021

On the Convergence of Deep Learning with Differential Privacy.

Zhiqi Bu, Hua Wang, Qi Long, Weijie J. Su

CoRR, 2021

A Theorem of the Alternative for Personalized Federated Learning.

Shuxiao Chen, Qinqing Zheng, Qi Long, Weijie J. Su

CoRR, 2021

Layer-Peeled Model: Toward Understanding Well-Trained Deep Neural Networks.

Cong Fang, Hangfeng He, Qi Long, Weijie J. Su

CoRR, 2021

Assessing Fairness in the Presence of Missing Data.

Yiliang Zhang, Qi Long

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multiple Imputation via Generative Adversarial Network for High-dimensional Blockwise Missing Value Problems.

Zongyu Dai, Zhiqi Bu, Qi Long

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Graph-guided Bayesian SVM with Adaptive Structured Shrinkage Prior for High-dimensional Data.

Wenli Sun, Changgee Chang, Qi Long

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Interpretable temporal graph neural network for prognostic prediction of Alzheimer's disease using longitudinal neuroimaging data.

Mansu Kim, Jaesik Kim, Jeffrey Qu, Heng Huang, Qi Long, Kyung-Ah Sohn, Dokyoon Kim, Li Shen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Federated f-Differential Privacy.

Qinqing Zheng, Shuxiao Chen, Qi Long, Weijie J. Su

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Grouping effects of sparse CCA models in variable selection.

Kefei Liu, Qi Long, Li Shen

CoRR, 2020

Sparse multiple co-Inertia analysis with application to integrative analysis of multi -Omics data.

Eun Jeong Min, Qi Long

BMC Bioinform., 2020

GRIA: Graphical Regularization for Integrative Analysis.

Changgee Chang, Jihwan Oh, Qi Long

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion.

Qinqing Zheng, Jinshuo Dong, Qi Long, Weijie J. Su

Proceedings of the 37th International Conference on Machine Learning, 2020

Joint Bayesian Variable Selection and Graph Estimation for Non-linear SVM with Application to Genomics Data.

Wenli Sun, Changgee Chang, Qi Long

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Deep Multiview Learning to Identify Population Structure with Multimodal Imaging.

Yixue Feng, Mansu Kim, Xiaohui Yao, Kefei Liu, Qi Long, Li Shen

Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

Polygenic mediation analysis of Alzheimer's disease implicated intermediate amyloid imaging phenotypes.

Yingxuan Eng, Xiaohui Yao, Kefei Liu, Shannon L. Risacher, Andrew J. Saykin, Qi Long, Yize Zhao, Li Shen

Proceedings of the AMIA 2020, 2020

Privacy-Preserving Methods for Vertically Partitioned Incomplete Data.

Yi Deng, Xiaoqian Jiang, Qi Long

Proceedings of the AMIA 2020, 2020

2019

Sparse linear discriminant analysis in structured covariates space.

Sandra E. Safo, Qi Long

Stat. Anal. Data Min., 2019

CBNA: A control theory based method for identifying coding and non-coding cancer drivers.

Vu Viet Hoang Pham, Lin Liu, Cameron Bracken, Gregory J. Goodall, Qi Long, Jiuyong Li, Thuc Duy Le

PLoS Comput. Biol., 2019

Distributed learning from multiple EHR databases: Contextual embedding models for medical events.

Ziyi Li, Kirk Roberts, Xiaoqian Jiang, Qi Long

J. Biomed. Informatics, 2019

Deep Learning with Gaussian Differential Privacy.

Zhiqi Bu, Jinshuo Dong, Qi Long, Weijie J. Su

CoRR, 2019

Penalized co-inertia analysis with applications to -omics data.

Eun Jeong Min, Sandra E. Safo, Qi Long

Bioinform., 2019

Knowledge-Guided Biclustering via Sparse Variational EM Algorithm.

Changgee Chang, Eun Jeong Min, Jihwan Oh, Qi Long

Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

Bayesian Non-linear Support Vector Machine for High-Dimensional Data with Incorporation of Graph Information on Features.

Wenli Sun, Changgee Chang, Qi Long

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Bayesian Multiresolution Variable Selection for Ultra-High Dimensional Neuroimaging Data.

Yize Zhao, Jian Kang, Qi Long

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Predicting academic performance by considering student heterogeneity.

Sumyea Helal, Jiuyong Li, Lin Liu, Esmaeil Ebrahimie, Shane Dawson, Duncan J. Murray, Qi Long

Knowl. Based Syst., 2018

Generalized Bayesian Factor Analysis for Integrative Clustering with Applications to Multi-Omics Data.

Eun Jeong Min, Changgee Chang, Qi Long

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

Knowledge-Guided Bayesian Support Vector Machine for High-Dimensional Data with Application to Analysis of Genomics Data.

Wenli Sun, Changgee Chang, Yize Zhao, Qi Long

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Hybrid Statistical and Mechanistic Mathematical Model Guides Mobile Health Intervention for Chronic Pain.

Sara M. Clifton, Chaeryon Kang, Jingyi Jessica Li, Qi Long, Nirmish Shah, Daniel M. Abrams

J. Comput. Biol., 2017

Incorporating biological information in sparse principal component analysis with application to genomic data.

Ziyi Li, Sandra E. Safo, Qi Long

BMC Bioinform., 2017

2013

A tutorial on rank-based coefficient estimation for censored data in small- and large-scale problems.

Matthias Chung, Qi Long, Brent A. Johnson

Stat. Comput., 2013

2009

Improved Adaptive and Multi-group Parallel Genetic Algorithm Based on Good-point Set.

Ruijiang Wang, Yihong Ru, Qi Long

J. Softw., 2009

New oscillation criteria of second-order nonlinear differential equations.

Qi Long, Qi-Ru Wang

Appl. Math. Comput., 2009