Annie Qu - RankMe

32 papers Journal 32

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Meta Fusion: A Unified Framework For Multimodality Fusion with Mutual Learning. CoRR Ziyi Liang, Annie Qu, Babak Shahbaba
2025	J	`jnl`	Multi-task Learning for Heterogeneous Data via Integrating Shared and Task-Specific Encodings. CoRR Yang Sui, Qi Xu, Yang Bai, Annie Qu
2025	J	`jnl`	Multi-task Learning for Heterogeneous Multi-source Block-Wise Missing Data. CoRR Yang Sui, Qi Xu, Yang Bai, Annie Qu
2025	J	`jnl`	Reinforcement Learning for Individual Optimal Policy from Heterogeneous Data. CoRR Rui Miao, Babak Shahbaba, Annie Qu
2025	J	`jnl`	Representation Retrieval Learning for Heterogeneous Data Integration. CoRR Qi Xu, Annie Qu
2025	J	`jnl`	Syntax-Guided Diffusion Language Models with User-Integrated Personalization. CoRR Ruqian Zhang, Yijiao Zhang, Juan Shen, Zhongyi Zhu, Annie Qu
2024	J	`jnl`	CONCERT: Covariate-Elaborated Robust Local Information Transfer with Conditional Spike-and-Slab Prior. CoRR Ruqian Zhang, Yijiao Zhang, Annie Qu, Zhongyi Zhu, Juan Shen
2024	J	`jnl`	Differentially Private Data Release for Mixed-type Data via Latent Factor Models. J. Mach. Learn. Res. Yanqing Zhang, Qi Xu, Niansheng Tang, Annie Qu
2024	J	`jnl`	Optimal Transport for Latent Integration with An Application to Heterogeneous Neuronal Activity Data. CoRR Yubai Yuan, Babak Shahbaba, Norbert Fortin, Keiland W. Cooper, Qing Nie, Annie Qu
2024	J	`jnl`	Stage-Aware Learning for Dynamic Treatments. J. Mach. Learn. Res. Hanwen Ye, Wenzhuo Zhou, Ruoqing Zhu, Annie Qu
2023	J	`jnl`	A Model-Agnostic Graph Neural Network for Integrating Local and Global Information. CoRR Wenzhuo Zhou, Annie Qu, Keiland W. Cooper, Norbert Fortin, Babak Shahbaba
2023	J	`jnl`	Distributional Shift-Aware Off-Policy Interval Estimation: A Unified Error Quantification Framework. CoRR Wenzhuo Zhou, Yuhan Li, Ruoqing Zhu, Annie Qu
2023	J	`jnl`	Dynamic Topic Language Model on Heterogeneous Children's Mental Health Clinical Notes. CoRR Hanwen Ye, Tatiana Moreno, Adrianne Alpern, Louis Ehwerhemuepha, Annie Qu
2023	J	`jnl`	Stackelberg Batch Policy Learning. CoRR Wenzhuo Zhou, Annie Qu
2023	J	`jnl`	Stage-Aware Learning for Dynamic Treatments. CoRR Hanwen Ye, Wenzhuo Zhou, Ruoqing Zhu, Annie Qu
2022	J	`jnl`	Dermoscopic Image Classification with Neural Style Transfer. J. Comput. Graph. Stat. Yutong Li, Ruoqing Zhu, Mike Yeh, Annie Qu
2022	J	`jnl`	HIMA2: high-dimensional mediation analysis and its application in epigenome-wide DNA methylation data. BMC Bioinform. Chamila Perera, Haixiang Zhang, Yinan Zheng, Lifang Hou, Annie Qu, Cheng Zheng, Ke Xie, Lei Liu
2022	J	`jnl`	Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness. INFORMS J. Comput. Xuan Bi, Gediminas Adomavicius, William Li, Annie Qu
2022	J	`jnl`	Weighted AutoEncoding recommender system. Stat. Anal. Data Min. Shuying Zhu, Weining Shen, Annie Qu
2021	J	`jnl`	Dermoscopic Image Classification with Neural Style Transfer. CoRR Yutong Li, Ruoqing Zhu, Annie Qu, Mike Yeh
2021	J	`jnl`	Dynamic Tensor Recommender Systems. J. Mach. Learn. Res. Yanqing Zhang, Xuan Bi, Niansheng Tang, Annie Qu
2021	J	`jnl`	High-order joint embedding for multi-level link prediction. CoRR Yubai Yuan, Annie Qu
2021	J	`jnl`	Query-augmented Active Metric Learning. CoRR Yujia Deng, Yubai Yuan, Haoda Fu, Annie Qu
2020	J	`jnl`	Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness. CoRR Xuan Bi, Gediminas Adomavicius, William Li, Annie Qu
2020	J	`jnl`	Neural-based time series forecasting of loss of coolant accidents in nuclear power plants. Expert Syst. Appl. Majdi I. Radaideh, Connor Pigg, Tomasz Kozlowski, Yujia Deng, Annie Qu
2019	J	`jnl`	Individualized Multilayer Tensor Learning with An Application in Imaging Analysis. CoRR Xiwei Tang, Xuan Bi, Annie Qu
2019	J	`jnl`	Smooth neighborhood recommender systems. J. Mach. Learn. Res. Ben Dai, Junhui Wang, Xiaotong Shen, Annie Qu
2018	J	`jnl`	Semi-Orthogonal Non-Negative Matrix Factorization. CoRR Jack Yutong Li, Ruoqing Zhu, Annie Qu, Han Ye, Zhankun Sun
2018	J	`jnl`	Time-varying correlation structure estimation and local-feature detection for spatio-temporal data. J. Multivar. Anal. Xueying Zheng, Lan Xue, Annie Qu
2014	J	`jnl`	Efficient classification for longitudinal data. Comput. Stat. Data Anal. Xianlong Wang, Annie Qu
2012	J	`jnl`	Variable Selection in High-dimensional Varying-coefficient Models with Global Optimality. J. Mach. Learn. Res. Lan Xue, Annie Qu
2008	J	`jnl`	Testing the significance of cell-cycle patterns in time-course microarray data using nonparametric quadratic inference functions. Comput. Stat. Data Anal. Guei-Feng Tsai, Annie Qu