Kernelized partial least squares for feature reduction and classification of gene microarray data. - Walker H. Land Jr.; Xingye Qiao; Daniel Margolis; William S. Ford; Christopher T. Paquette; Joseph F. Perez-Rogers; Jeffrey A. Borgia; Jack Y. Yang; Youping Deng (BMC Syst. Biol., 2011)

Partial Least Squares (PLS) Applied to Medical Bioinformatics. - Walker H. Land Jr.; William S. Ford; Jin-Woo Park; Ravi Mathur; Nathan Hotchkiss; John J. Heine; Steven Eschrich; Xingye Qiao; Timothy Yeatman (Complex Adaptive Systems, 2011)

A new tool for survival analysis: evolutionary programming/evolutionary strategies (EP/ES) support vector regression hybrid using both censored / non-censored (event) data. - Walker H. Land Jr.; Xingye Qiao; Dan Margolis; Ronald Gottlieb (Complex Adaptive Systems, 2011)

A complex adaptive system using statistical learning theory as an inline preprocess for clinical survival analysis. - Dan Margolis; Walker H. Land Jr.; Ronald Gottlieb; Xingye Qiao (Complex Adaptive Systems, 2011)

PNN/GRNN Ensemble Processor Design for Early Screening of Breast Cancer. - Walker H. Land Jr.; Xinpei Ma; Erin Barnes; Xingye Qiao; John J. Heine; Timothy Masters; Jin-Woo Park (Complex Adaptive Systems, 2012)

GRNN Ensemble Classifier for Lung Cancer Prognosis Using Only Demographic and TNM features. - J. David Schaffer; Jin-Woo Park; Erin Barnes; Qiyi Lu; Xingye Qiao; Youping Deng; Yan Li; Walker H. Land Jr. (Complex Adaptive Systems, 2012)

Nearest Neighbor Classifier with Optimal Stability. - Wei Sun 027; Xingye Qiao; Guang Cheng 003 (CoRR, 2014)

Improving Approximate Value Iteration with Complex Returns by Bounding. - Robert William Wright; Xingye Qiao; Steven Loscalzo; Lei Yu 001 (AAAI, 2015)

CFQI: Fitted Q-Iteration with Complex Returns. - Robert William Wright; Xingye Qiao; Lei Yu 001; Steven Loscalzo (AAMAS, 2015)

Significance Analysis of High-Dimensional, Low-Sample Size Partially Labeled Data. - Qiyi Lu; Xingye Qiao (CoRR, 2015)

Flexible high-dimensional classification machines and their asymptotic properties. - Xingye Qiao; Lingsong Zhang (J. Mach. Learn. Res., 2015)

Learning Confidence Sets using Support Vector Machines. - Wenbo Wang; Xingye Qiao (NeurIPS, 2018)

Sparse Fisher's linear discriminant analysis for partially labeled data. - Qiyi Lu; Xingye Qiao (Stat. Anal. Data Min., 2018)

Diverse Exploration via Conjugate Policies for Policy Gradient Methods. - Andrew Cohen; Xingye Qiao; Lei Yu 001; Elliot Way; Xiangrong Tong (AAAI, 2019)

Rates of Convergence for Large-scale Nearest Neighbor Classification. - Xingye Qiao; Jiexin Duan; Guang Cheng 003 (NeurIPS, 2019)

Towards Run Time Estimation of the Gaussian Chemistry Code for SEAGrid Science Gateway. - Angel Beltre; Shehtab Zaman; Kenneth Chiu; Sudhakar Pamidighantam; Xingye Qiao; Madhusudhan Govindaraju (PEARC, 2019)

Maximum Entropy Diverse Exploration: Disentangling Maximum Entropy Reinforcement Learning. - Andrew Cohen; Lei Yu 001; Xingye Qiao; Xiangrong Tong (CoRR, 2019)

Mutual Transfer Learning for Massive Data. - Ching-Wei Cheng; Xingye Qiao; Guang Cheng 003 (ICML, 2020)

Statistical Guarantees of Distributed Nearest Neighbor Classification. - Jiexin Duan; Xingye Qiao; Guang Cheng 003 (NeurIPS, 2020)

Covariance-engaged Classification of Sets via Linear Programming. - Zhao Ren; Sungkyu Jung; Xingye Qiao (CoRR, 2020)

Near-optimal Individualized Treatment Recommendations. - Haomiao Meng; Ying-Qi Zhao; Haoda Fu; Xingye Qiao (J. Mach. Learn. Res., 2020)

Enhanced Nearest Neighbor Classification for Crowdsourcing. - Jiexin Duan; Xingye Qiao; Guang Cheng 003 (CoRR, 2022)

Learning Acceptance Regions for Many Classes with Anomaly Detection. - Zhou Wang; Xingye Qiao (CoRR, 2022)

Set-valued Classification with Out-of-distribution Detection for Many Classes. - Zhou Wang; Xingye Qiao (J. Mach. Learn. Res., 2023)

Efficient Online Set-valued Classification with Bandit Feedback. - Zhou Wang; Xingye Qiao (ICML, 2024)

A Non-parametric Direct Learning Approach to Heterogeneous Treatment Effect Estimation under Unmeasured Confounding. - Xinhai Zhang; Xingye Qiao (NeurIPS, 2024)

An improved spectral clustering method for accurate detection of brain resting-state networks. - Jason Barrett; Haomiao Meng; Zongpai Zhang; Song M. Chen; Li Zhao 001; David C. Alsop; Xingye Qiao; Weiying Dai (NeuroImage, 2024)

Deep Generalized Prediction Set Classifier and Its Theoretical Guarantees. - Zhou Wang; Xingye Qiao (Trans. Mach. Learn. Res., 2024)

Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates. - Baozhen Wang; Xingye Qiao (AAAI, 2025)

Conformal Prediction Under Generalized Covariate Shift with Posterior Drift. - Baozhen Wang; Xingye Qiao (AISTATS, 2025)

Generalized Prediction Set with Bandit Feedback. - Zhou Wang; Xingye Qiao (Trans. Mach. Learn. Res., 2025)