New oscillation criteria of second-order nonlinear differential equations. - Qi Long; Qi-Ru Wang (Appl. Math. Comput., 2009)

Improved Adaptive and Multi-group Parallel Genetic Algorithm Based on Good-point Set. - Ruijiang Wang; Yihong Ru; Qi Long (J. Softw., 2009)

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)

Incorporating biological information in sparse principal component analysis with application to genomic data. - Ziyi Li 001; Sandra E. Safo; Qi Long (BMC Bioinform., 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)

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 (IEEE BigData, 2018)

Generalized Bayesian Factor Analysis for Integrative Clustering with Applications to Multi-Omics Data. - Eun Jeong Min; Changgee Chang; Qi Long (DSAA, 2018)

Predicting academic performance by considering student heterogeneity. - Sumyea Helal; Jiuyong Li; Lin Liu 003; Esmaeil Ebrahimie; Shane Dawson; Duncan J. Murray; Qi Long (Knowl. Based Syst., 2018)

Bayesian Multiresolution Variable Selection for Ultra-High Dimensional Neuroimaging Data. - Yize Zhao; Jian Kang 003; Qi Long (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Bayesian Non-linear Support Vector Machine for High-Dimensional Data with Incorporation of Graph Information on Features. - Wenli Sun; Changgee Chang; Qi Long (IEEE BigData, 2019)

Knowledge-Guided Biclustering via Sparse Variational EM Algorithm. - Changgee Chang; Eun Jeong Min; Jihwan Oh; Qi Long (ICBK, 2019)

Penalized co-inertia analysis with applications to -omics data. - Eun Jeong Min; Sandra E. Safo; Qi Long (Bioinform., 2019)

Deep Learning with Gaussian Differential Privacy. - Zhiqi Bu; Jinshuo Dong; Qi Long; Weijie J. Su (CoRR, 2019)

Distributed learning from multiple EHR databases: Contextual embedding models for medical events. - Ziyi Li 001; Kirk Roberts; Xiaoqian Jiang; Qi Long (J. Biomed. Informatics, 2019)

CBNA: A control theory based method for identifying coding and non-coding cancer drivers. - Vu Viet Hoang Pham; Lin Liu 003; Cameron Bracken; Gregory J. Goodall; Qi Long; Jiuyong Li; Thuc Duy Le (PLoS Comput. Biol., 2019)

Sparse linear discriminant analysis in structured covariates space. - Sandra E. Safo; Qi Long (Stat. Anal. Data Min., 2019)

Privacy-Preserving Methods for Vertically Partitioned Incomplete Data. - Yi Deng; Xiaoqian Jiang; Qi Long (AMIA, 2020)

Polygenic mediation analysis of Alzheimer's disease implicated intermediate amyloid imaging phenotypes. - Yingxuan Eng; Xiaohui Yao; Kefei Liu 001; Shannon L. Risacher; Andrew J. Saykin; Qi Long; Yize Zhao; Li Shen 001 (AMIA, 2020)

Deep Multiview Learning to Identify Population Structure with Multimodal Imaging. - Yixue Feng 001; Mansu Kim; Xiaohui Yao; Kefei Liu 001; Qi Long; Li Shen 001 (BIBE, 2020)

Joint Bayesian Variable Selection and Graph Estimation for Non-linear SVM with Application to Genomics Data. - Wenli Sun; Changgee Chang; Qi Long (DSAA, 2020)

Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion. - Qinqing Zheng; Jinshuo Dong; Qi Long; Weijie J. Su (ICML, 2020)

GRIA: Graphical Regularization for Integrative Analysis. - Changgee Chang; Jihwan Oh; Qi Long (SDM, 2020)

Sparse multiple co-Inertia analysis with application to integrative analysis of multi -Omics data. - Eun Jeong Min; Qi Long (BMC Bioinform., 2020)

Grouping effects of sparse CCA models in variable selection. - Kefei Liu 001; Qi Long; Li Shen 001 (CoRR, 2020)

Federated f-Differential Privacy. - Qinqing Zheng; Shuxiao Chen; Qi Long; Weijie J. Su (AISTATS, 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 001 (BIBM, 2021)

Graph-guided Bayesian SVM with Adaptive Structured Shrinkage Prior for High-dimensional Data. - Wenli Sun; Changgee Chang; Qi Long (IEEE BigData, 2021)

Multiple Imputation via Generative Adversarial Network for High-dimensional Blockwise Missing Value Problems. - Zongyu Dai; Zhiqi Bu; Qi Long (ICMLA, 2021)

Assessing Fairness in the Presence of Missing Data. - Yiliang Zhang; Qi Long (NeurIPS, 2021)

Layer-Peeled Model: Toward Understanding Well-Trained Deep Neural Networks. - Cong Fang 001; Hangfeng He 001; 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)

On the Convergence of Deep Learning with Differential Privacy. - Zhiqi Bu; Hua Wang; Qi Long; Weijie J. Su (CoRR, 2021)

Fairness in Missing Data Imputation. - Yiliang Zhang; Qi Long (CoRR, 2021)

Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data. - Zongyu Dai; Zhiqi Bu; Qi Long (ACML, 2022)

Preference Matrix Guided Sparse Canonical Correlation Analysis for Genetic Study of Quantitative Traits in Alzheimer's Disease. - Jiahang Sha; Jingxuan Bao; Kefei Liu 001; Shu Yang 009; Zixuan Wen; Yuhan Cui; Junhao Wen 002; Christos Davatzikos; Jason H. Moore; Andrew J. Saykin; Qi Long; Li Shen 001 (BIBM, 2022)

Differentially Private Bayesian Neural Networks on Accuracy, Privacy and Reliability. - Qiyiwen Zhang; Zhiqi Bu; Kan Chen; Qi Long (ECML/PKDD (4), 2022)

Integrating multi-omics summary data using a Mendelian randomization framework. - Chong Jin; Brian Lee; Li Shen 001; Qi Long (Briefings Bioinform., 2022)

Deep multiview learning to identify imaging-driven subtypes in mild cognitive impairment. - Yixue Feng 001; Mansu Kim; Xiaohui Yao; Kefei Liu 001; Qi Long; Li Shen 001 (BMC Bioinform., 2022)

Covariate-Balancing-Aware Interpretable Deep Learning models for Treatment Effect Estimation. - Kan Chen; Qishuo Yin; Qi Long (CoRR, 2022)

Multi-task learning based structured sparse canonical correlation analysis for brain imaging genetics. - Mansu Kim; Eun Jeong Min; Kefei Liu 001; Jingwen Yan; Andrew J. Saykin; Jason H. Moore; Qi Long; Li Shen 001 (Medical Image Anal., 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 002 (Sensors, 2022)

Multi-Group Tensor Canonical Correlation Analysis. - Zhuoping Zhou; Boning Tong; Davoud Ataee Tarzanagh; Bojian Hou; Andrew J. Saykin; Qi Long; Li Shen 001 (BCB, 2023)

Fair Canonical Correlation Analysis. - Zhuoping Zhou; Davoud Ataee Tarzanagh; Bojian Hou; Boning Tong; Jia Xu; Yanbo Feng; Qi Long; Li Shen 001 (NeurIPS, 2023)

MISNN: Multiple Imputation via Semi-parametric Neural Networks. - Zhiqi Bu; Zongyu Dai; Yiliang Zhang; Qi Long (PAKDD (1), 2023)

Fairness-aware class imbalanced learning on multiple subgroups. - Davoud Ataee Tarzanagh; Bojian Hou; Boning Tong; Qi Long; Li Shen 001 (UAI, 2023)

Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training? - Shuxiao Chen; Qinqing Zheng; Qi Long; Weijie J. Su (J. Mach. Learn. Res., 2023)

On the Convergence and Calibration of Deep Learning with Differential Privacy. - Zhiqi Bu; Hua Wang; Zongyu Dai; Qi Long (Trans. Mach. Learn. Res., 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 001; Qi Long (Briefings Bioinform., 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, 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; et al. (J. Biomed. Informatics, 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., 2023)

Temporal and Spatial Change in Vegetation and Its Interaction with Climate Change in Argentina from 1982 to 2015. - Qi Long; Fei Wang 120; Wenyan Ge; Feng Jiao; Jianqiao Han; Hao Chen; Fidel Alejandro Roig; Elena María Abraham; Mengxia Xie; Lu Cai (Remote. Sens., 2023)

Integrative learning of structured high-dimensional data from multiple datasets. - Changgee Chang; Zongyu Dai; Jihwan Oh; Qi Long (Stat. Anal. Data Min., 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 007; Si-jia Zhao; Zongqiang Ren; Qi Long (ISPRS Int. J. Geo Inf., 2023)

Brain-wide genome-wide colocalization study for integrating genetics, transcriptomics and brain morphometry in Alzheimer's disease. - Jingxuan Bao; Junhao Wen 002; Zixuan Wen; Shu Yang 009; Yuhan Cui; Zhijian Yang; Güray Erus; Andrew J. Saykin; Qi Long; Christos Davatzikos; Li Shen 001 (NeuroImage, 2023)

Robust knowledge-guided biclustering for multi-omics data. - Qiyiwen Zhang; Changgee Chang; Qi Long (Briefings Bioinform., 2023)

SADI: Similarity-Aware Diffusion Model-Based Imputation for Incomplete Temporal EHR Data. - Zongyu Dai; Emily J. Getzen; Qi Long (AISTATS, 2024)

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text. - Weiqing He; Bojian Hou; Tianqi Shang; Davoud Ataee Tarzanagh; Qi Long; Li Shen 001 (IEEE Big Data, 2024)

Bridging the Gap: Rademacher Complexity in Robust and Standard Generalization. - Jiancong Xiao; Ruoyu Sun 001; Qi Long; Weijie Su 001 (COLT, 2024)

DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation. - Yinjun Wu; Mayank Keoliya; Kan Chen; Neelay Velingker; Ziyang Li; Emily J. Getzen; Qi Long; Mayur Naik; Ravi B. Parikh; Eric Wong 001 (ICML, 2024)

Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts. - Sukwon Yun; Inyoung Choi; Jie Peng 002; Yangfan Wu; Jingxuan Bao; Qiyiwen Zhang; Jiayi Xin; Qi Long; Tianlong Chen 001 (NeurIPS, 2024)

Fairness-Aware Estimation of Graphical Models. - Zhuoping Zhou; Davoud Ataee Tarzanagh; Bojian Hou; Qi Long; Li Shen 001 (NeurIPS, 2024)

HIP: a method for high-dimensional multi-view data integration and prediction accounting for subgroup heterogeneity. - Jessica Butts; Leif Verace; Christine Wendt; Russell P. Bowler; Craig P. Hersh; Qi Long; Lynn E. Eberly; Sandra E. Safo (Briefings Bioinform., 2024)

Deep learning-based approaches for multi-omics data integration and analysis. - Jenna l. Ballard; Zexuan Wang; Wenrui Li; Li Shen 001; Qi Long (BioData Min., 2024)

A Statistical Framework of Watermarks for Large Language Models: Pivot, Detection Efficiency and Optimal Rules. - Xiang Li; Feng Ruan; Huiyuan Wang; Qi Long; Weijie J. Su (CoRR, 2024)

On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching Regularization. - Jiancong Xiao; Ziniu Li; Xingyu Xie; Emily J. Getzen; Cong Fang 001; Qi Long; Weijie J. Su (CoRR, 2024)

SDoH-GPT: Using Large Language Models to Extract Social Determinants of Health (SDoH). - Bernardo Consoli; Xizhi Wu; Song Wang 026; Xinyu Zhao; Yanshan Wang; Justin F. Rousseau; Tom Hartvigsen; Li Shen 001; Huanmei Wu; Yifan Peng 002; Qi Long; Tianlong Chen 001; et al. (CoRR, 2024)

Clustering Alzheimer's Disease Subtypes via Similarity Learning and Graph Diffusion. - Tianyi Wei; Shu Yang 009; Davoud Ataee Tarzanagh; Jingxuan Bao; Jia Xu; Patryk Orzechowski; Joost B. Wagenaar; Qi Long; Li Shen 001 (CoRR, 2024)

Robust Detection of Watermarks for Large Language Models Under Human Edits. - Xiang Li; Feng Ruan; Huiyuan Wang; Qi Long; Weijie J. Su (CoRR, 2024)

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation. - Sirui Xu 002; Dongting Li; Yucheng Zhang; Xiyan Xu; Qi Long; Ziyin Wang; Yunzhi Lu; Shuchang Dong; Hezi Jiang; Akshat Gupta; Yu-Xiong Wang; Liang-Yan Gui (CVPR, 2025)

GuideLLM: Exploring LLM-Guided Conversation with Applications in Autobiography Interviewing. - Jinhao Duan; Xinyu Zhao; Zhuoxuan Zhang; Eunhye Grace Ko; Lily Boddy; Chenan Wang; Tianhao Li; Alexander Rasgon; Junyuan Hong; Min Kyung Lee; Chenxi Yuan; Qi Long; et al. (NAACL (Long Papers), 2025)

Analysis of the Impact and Weight of Structural Parameters on the Operating Characteristics of the Spring Operating Mechanism. - Qi Long; Xu Yang; Keru Jiang; Changhong Zhang; Xiao Wang; Xiongying Duan (IEEE Access, 2025)

Statistical Impossibility and Possibility of Aligning LLMs with Human Preferences: From Condorcet Paradox to Nash Equilibrium. - Kaizhao Liu; Qi Long; Zhekun Shi; Weijie J. Su; Jiancong Xiao (CoRR, 2025)

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer. - Huaizhi Qu; Inyoung Choi; Zhen Tan 001; Song Wang 013; Sukwon Yun; Qi Long; Faizan Siddiqui 001; Kwonjoon Lee; Tian-Long Chen 001 (CoRR, 2025)

Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach. - Jiancong Xiao; Bojian Hou; Zhanliang Wang; Ruochen Jin; Qi Long; Weijie J. Su; Li Shen 001 (CoRR, 2025)

I2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts. - Jiayi Xin; Sukwon Yun; Jie Peng 002; Inyoung Choi; Jenna l. Ballard; Tianlong Chen 001; Qi Long (CoRR, 2025)

Fundamental Limits of Game-Theoretic LLM Alignment: Smith Consistency and Preference Matching. - Zhekun Shi; Kaizhao Liu; Qi Long; Weijie J. Su; Jiancong Xiao (CoRR, 2025)

PolarGrad: A Class of Matrix-Gradient Optimizers from a Unifying Preconditioning Perspective. - Tim Tsz-Kit Lau; Qi Long; Weijie Su (CoRR, 2025)

Evaluating the Unseen Capabilities: How Many Theorems Do LLMs Know? - Xiang Li; Jiayi Xin; Qi Long; Weijie J. Su (CoRR, 2025)

Theoretical Tensions in RLHF: Reconciling Empirical Success with Inconsistencies in Social Choice Theory. - Jiancong Xiao; Zhekun Shi; Kaizhao Liu; Qi Long; Weijie J. Su (CoRR, 2025)

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts. - Xiang Li; Garrett Wen; Weiqing He; Jiayuan Wu; Qi Long; Weijie J. Su (CoRR, 2025)

Fair CCA for Fair Representation Learning: An ADNI Study. - Bojian Hou; Zhanliang Wang; Zhuoping Zhou; Boning Tong; Zexuan Wang; Jingxuan Bao; Duy Duong-Tran; Qi Long; Li Shen 001 (CoRR, 2025)

The Impact of Language Mixing on Bilingual LLM Reasoning. - Yihao Li; Jiayi Xin; Miranda Muqing Miao; Qi Long; Lyle H. Ungar (CoRR, 2025)

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice. - Yuanpeng Li; Qi Long; Zhiyuan Yao; Jian Xu; Lintao Xie; Xu He; Lu Geng; Xin Han; Yueyan Chen; Wenbo Duan (CoRR, 2025)