Testing the significance of cell-cycle patterns in time-course microarray data using nonparametric quadratic inference functions. - Guei-Feng Tsai; Annie Qu (Comput. Stat. Data Anal., 2008)

Variable Selection in High-dimensional Varying-coefficient Models with Global Optimality. - Lan Xue; Annie Qu (J. Mach. Learn. Res., 2012)

Efficient classification for longitudinal data. - Xianlong Wang; Annie Qu (Comput. Stat. Data Anal., 2014)

Semi-Orthogonal Non-Negative Matrix Factorization. - Jack Yutong Li; Ruoqing Zhu; Annie Qu; Han Ye; Zhankun Sun (CoRR, 2018)

Time-varying correlation structure estimation and local-feature detection for spatio-temporal data. - Xueying Zheng; Lan Xue; Annie Qu (J. Multivar. Anal., 2018)

Individualized Multilayer Tensor Learning with An Application in Imaging Analysis. - Xiwei Tang; Xuan Bi; Annie Qu (CoRR, 2019)

Smooth neighborhood recommender systems. - Ben Dai; Junhui Wang; Xiaotong Shen; Annie Qu (J. Mach. Learn. Res., 2019)

Neural-based time series forecasting of loss of coolant accidents in nuclear power plants. - Majdi I. Radaideh; Connor Pigg; Tomasz Kozlowski; Yujia Deng; Annie Qu (Expert Syst. Appl., 2020)

Dermoscopic Image Classification with Neural Style Transfer. - Yutong Li 003; Ruoqing Zhu; Annie Qu; Mike Yeh (CoRR, 2021)

Query-augmented Active Metric Learning. - Yujia Deng; Yubai Yuan; Haoda Fu; Annie Qu (CoRR, 2021)

High-order joint embedding for multi-level link prediction. - Yubai Yuan; Annie Qu (CoRR, 2021)

Dynamic Tensor Recommender Systems. - Yanqing Zhang 004; Xuan Bi; Niansheng Tang; Annie Qu (J. Mach. Learn. Res., 2021)

Dermoscopic Dataset for the "Dermoscopic Image Classification with Neural Style Transfer" Manuscript. - Yutong Li 003; Ruoqing Zhu; Mike Yeh; Annie Qu (IEEE DataPort, 2021)

HIMA2: high-dimensional mediation analysis and its application in epigenome-wide DNA methylation data. - Chamila Perera; Haixiang Zhang; Yinan Zheng; Lifang Hou; Annie Qu; Cheng Zheng 005; Ke Xie 009; Lei Liu 004 (BMC Bioinform., 2022)

Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness. - Xuan Bi; Gediminas Adomavicius; William Li; Annie Qu (INFORMS J. Comput., 2022)

Weighted AutoEncoding recommender system. - Shuying Zhu; Weining Shen; Annie Qu (Stat. Anal. Data Min., 2022)

Dermoscopic Image Classification with Neural Style Transfer. - Yutong Li; Ruoqing Zhu; Mike Yeh; Annie Qu (J. Comput. Graph. Stat., 2022)

Distributional Shift-Aware Off-Policy Interval Estimation: A Unified Error Quantification Framework. - Wenzhuo Zhou; Yuhan Li 005; Ruoqing Zhu; Annie Qu (CoRR, 2023)

A Model-Agnostic Graph Neural Network for Integrating Local and Global Information. - Wenzhuo Zhou; Annie Qu; Keiland W. Cooper; Norbert Fortin; Babak Shahbaba (CoRR, 2023)

Stackelberg Batch Policy Learning. - Wenzhuo Zhou; Annie Qu (CoRR, 2023)

Stage-Aware Learning for Dynamic Treatments. - Hanwen Ye; Wenzhuo Zhou; Ruoqing Zhu; Annie Qu (CoRR, 2023)

Dynamic Topic Language Model on Heterogeneous Children's Mental Health Clinical Notes. - Hanwen Ye; Tatiana Moreno; Adrianne Alpern; Louis Ehwerhemuepha; Annie Qu (CoRR, 2023)

CONCERT: Covariate-Elaborated Robust Local Information Transfer with Conditional Spike-and-Slab Prior. - Ruqian Zhang; Yijiao Zhang; Annie Qu; Zhongyi Zhu; Juan Shen (CoRR, 2024)

Optimal Transport for Latent Integration with An Application to Heterogeneous Neuronal Activity Data. - Yubai Yuan; Babak Shahbaba; Norbert Fortin; Keiland W. Cooper; Qing Nie; Annie Qu (CoRR, 2024)

Differentially Private Data Release for Mixed-type Data via Latent Factor Models. - Yanqing Zhang 004; Qi Xu; Niansheng Tang; Annie Qu (J. Mach. Learn. Res., 2024)

Representation Retrieval Learning for Heterogeneous Data Integration. - Qi Xu; Annie Qu (CoRR, 2025)

Reinforcement Learning for Individual Optimal Policy from Heterogeneous Data. - Rui Miao; Babak Shahbaba; Annie Qu (CoRR, 2025)

Multi-task Learning for Heterogeneous Data via Integrating Shared and Task-Specific Encodings. - Yang Sui; Qi Xu; Yang Bai; Annie Qu (CoRR, 2025)

Multi-task Learning for Heterogeneous Multi-source Block-Wise Missing Data. - Yang Sui; Qi Xu; Yang Bai; Annie Qu (CoRR, 2025)

Meta Fusion: A Unified Framework For Multimodality Fusion with Mutual Learning. - Ziyi Liang; Annie Qu; Babak Shahbaba (CoRR, 2025)