Adaptive Fault Detection for Testing Tenant Applications in Multi-tenancy SaaS Systems. - Wei-Tek Tsai; Qingyang Li 001; Charles J. Colbourn; Xiaoying Bai (IC2E, 2013)

Test algebra for combinatorial testing. - Wei-Tek Tsai; Charles J. Colbourn; Jie Luo 004; Guanqiu Qi; Qingyang Li 001; Xiaoying Bai (AST, 2013)

A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models. - Jie Wang 005; Qingyang Li 001; Sen Yang 004; Wei Fan 001; Peter Wonka; Jieping Ye (ICML, 2014)

Stochastic Coordinate Coding and Its Application for Drosophila Gene Expression Pattern Annotation. - Binbin Lin; Qingyang Li 001; Qian Sun 002; Ming-Jun Lai; Ian Davidson; Wei Fan 001; Jieping Ye (CoRR, 2014)

Melancholic Depression Prediction by Identifying Representative Features in Metabolic and Microarray Profiles with Missing Values. - Zhi Nie; Tao Yang 016; Yashu Liu 001; Binbin Lin; Qingyang Li 001; Vaibhav A. Narayan; Gayle M. Wittenberg; Jieping Ye (Pacific Symposium on Biocomputing, 2015)

Applying sparse coding to surface multivariate tensor-based morphometry to predict future cognitive decline. - Jie Zhang 026; Cynthia M. Stonnington; Qingyang Li 001; Jie Shi 001; Robert J. Bauer; Boris A. Gutman; Kewei Chen 001; Eric M. Reiman; Paul M. Thompson; Jieping Ye; Yalin Wang 001 (ISBI, 2016)

Parallel Lasso Screening for Big Data Optimization. - Qingyang Li 001; Shuang Qiu; Shuiwang Ji; Paul M. Thompson; Jieping Ye; Jie Wang 005 (KDD, 2016)

Hyperbolic Space Sparse Coding with Its Application on Prediction of Alzheimer's Disease in Mild Cognitive Impairment. - Jie Zhang 026; Jie Shi 001; Cynthia M. Stonnington; Qingyang Li 001; Boris A. Gutman; Kewei Chen 001; Eric M. Reiman; Richard J. Caselli; Paul M. Thompson; Jieping Ye; Yalin Wang 001 (MICCAI (1), 2016)

Large-Scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions. - Qingyang Li 001; Tao Yang 016; Liang Zhan; Derrek P. Hibar; Neda Jahanshad; Yalin Wang 001; Jieping Ye; Paul M. Thompson; Jie Wang 005 (MICCAI (1), 2016)

Multi-source Multi-target Dictionary Learning for Prediction of Cognitive Decline. - Jie Zhang 026; Qingyang Li 001; Richard J. Caselli; Paul M. Thompson; Jieping Ye; Yalin Wang 001 (IPMI, 2017)

Empowering cortical thickness measures in clinical diagnosis of Alzheimer's disease with spherical sparse coding. - Jie Zhang 026; Yonghui Fan; Qingyang Li 001; Paul M. Thompson; Jieping Ye; Yalin Wang 001 (ISBI, 2017)

Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression. - Qingyang Li 001; Dajiang Zhu; Jie Zhang 026; Derrek Paul Hibar; Neda Jahanshad; Yalin Wang 001; Jieping Ye; Paul M. Thompson; Jie Wang 005 (CoRR, 2017)

Multi-task Dictionary Learning based Convolutional Neural Network for Computer aided Diagnosis with Longitudinal Images. - Jie Zhang 026; Qingyang Li 001; Richard J. Caselli; Jieping Ye; Yalin Wang 001 (CoRR, 2017)

Task fMRI data analysis based on supervised stochastic coordinate coding. - Jinglei Lv; Binbin Lin; Qingyang Li 001; Wei Zhang 090; Yu Zhao 007; Xi Jiang 001; Lei Guo 002; Junwei Han 001; Xintao Hu; Christine Cong Guo; Jieping Ye; Tianming Liu 001 (Medical Image Anal., 2017)

Scaling Up Large-scale Sparse Learning and Its Application to Medical Imaging. - Qingyang Li 001 (2017)

Multi-task sparse screening for predicting future clinical scores using longitudinal cortical thickness measures. - Jie Zhang 026; Yanshuai Tu; Qingyang Li 001; Richard J. Caselli; Paul M. Thompson; Jieping Ye; Yalin Wang 001 (ISBI, 2018)

Multi-task Dictionary Learning Based on Convolutional Neural Networks for Longitudinal Clinical Score Predictions in Alzheimer's Disease. - Qunxi Dong; Jie Zhang 026; Qingyang Li 001; Paul M. Thompson; Richard J. Caselli; Jieping Ye; Yalin Wang 001 (HBAI@IJCAI, 2019)

Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation. - Wenjie Shang; Yang Yu 001; Qingyang Li 001; Zhiwei (Tony) Qin; Yiping Meng; Jieping Ye (KDD, 2019)

Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation. - Mengyue Yang; Qingyang Li 001; Zhiwei (Tony) Qin; Jieping Ye (WWW, 2020)

Multi-Scale Bidirectional Feature Fusion for One-Stage Oriented Object Detection in Aerial Images. - Lei Pei; Gong Cheng 003; Xuxiang Sun 001; Qingyang Li 001; Meili Zhang; Shicheng Miao (IGARSS, 2021)

Offline Model-based Adaptable Policy Learning. - Xiong-Hui Chen; Yang Yu 001; Qingyang Li 001; Fan-Ming Luo; Zhiwei (Tony) Qin; Wenjie Shang; Jieping Ye (NeurIPS, 2021)

Predicting future cognitive decline with hyperbolic stochastic coding. - Jie Zhang 026; Qunxi Dong; Jie Shi 001; Qingyang Li 001; Cynthia M. Stonnington; Boris A. Gutman; Kewei Chen 001; Eric M. Reiman; Richard J. Caselli; Paul M. Thompson; Jieping Ye; Yalin Wang 001 (Medical Image Anal., 2021)

Partially observable environment estimation with uplift inference for reinforcement learning based recommendation. - Wenjie Shang; Qingyang Li 001; Zhiwei (Tony) Qin; Yang Yu 001; Yiping Meng; Jieping Ye (Mach. Learn., 2021)

Multi-Resemblance Multi-Target Low-Rank Coding for Prediction of Cognitive Decline With Longitudinal Brain Images. - Jie Zhang 026; Jianfeng Wu; Qingyang Li 001; Richard J. Caselli; Paul M. Thompson; Jieping Ye; Yalin Wang 001 (IEEE Trans. Medical Imaging, 2021)

Multiple Tiered Treatments Optimization with Causal Inference on Response Distribution. - Tao Huang; Qingyang Li 001; Zhiwei Qin 001 (IEEE Big Data, 2022)

Dynamic Proposal Generation for Oriented Object Detection in Aerial Images. - Qingyang Li 001; Gong Cheng 003; Shicheng Miao; Lei Pei (IGARSS, 2022)

Precise Vertex Regression and Feature Decoupling for Oriented Object Detection. - Shicheng Miao; Gong Cheng 003; Qingyang Li 001; Lei Pei (IGARSS, 2022)

Spatio-temporal Incentives Optimization for Ride-hailing Services with Offline Deep Reinforcement Learning. - Yanqiu Wu 002; Qingyang Li 001; Zhiwei Tony Qin (CoRR, 2022)

Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems. - Xiong-Hui Chen; Bowei He; Yang Yu 001; Qingyang Li 001; Zhiwei Tony Qin; Wenjie Shang; Jieping Ye; Chen Ma 001 (ICDE, 2023)

SFRNet: Fine-Grained Oriented Object Recognition via Separate Feature Refinement. - Gong Cheng 003; Qingyang Li 001; Guangxing Wang; Xingxing Xie; Lingtong Min; Junwei Han 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Offline Model-Based Adaptable Policy Learning for Decision-Making in Out-of-Support Regions. - Xiong-Hui Chen; Fan-Ming Luo; Yang Yu 001; Qingyang Li 001; Zhiwei Qin 001; Wenjie Shang; Jieping Ye (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios. - Lei Lin; Jia-Yi Fu; Pengli Liu; Qingyang Li 001; Yan Gong; Junchen Wan; Fuzheng Zhang; Zhongyuan Wang 006; Di Zhang; Kun Gai (ACL (Findings), 2024)

Fewer is more: efficient object detection in large aerial images. - Xingxing Xie; Gong Cheng 003; Qingyang Li 001; Shicheng Miao; Ke Li 005; Junwei Han 001 (Sci. China Inf. Sci., 2024)

Towards Comprehensive Preference Data Collection for Reward Modeling. - Yulan Hu; Qingyang Li 001; Sheng Ouyang; Ge Chen 006; Kaihui Chen; Lijun Mei; Xucheng Ye; Fuzheng Zhang; Yong Liu 018 (CoRR, 2024)

TSO: Self-Training with Scaled Preference Optimization. - Kaihui Chen; Hao Yi; Qingyang Li 001; Tianyu Qi; Yulan Hu; Fuzheng Zhang; Yong Liu 018 (CoRR, 2024)

Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models. - Hao Yi; Qingyang Li 001; Yulan Hu; Fuzheng Zhang; Di Zhang; Yong Liu 018 (CoRR, 2024)

Towards Reward Fairness in RLHF: From a Resource Allocation Perspective. - Sheng Ouyang; Yulan Hu; Ge Chen 006; Qingyang Li 001; Fuzheng Zhang; Yong Liu 018 (ACL (1), 2025)

SPPD: Self-training with Process Preference Learning Using Dynamic Value Margin. - Hao Yi; Qingyang Li 001; Yulan Hu; Fuzheng Zhang; Di Zhang; Yong Liu 018 (CoRR, 2025)