activity
20172020
most citedImproving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness

4 citations · 8 across the 4 of their papers we have counts for

collaborators

8 papers

cs.LG20204 cited

Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness

Xuan Bi, Gediminas Adomavicius, William Li +1

Due to accessible big data collections from consumers, products, and stores, advanced sales forecasting capabilities have drawn great attention from many companies especially in th…

stat.ME2020

Dynamic Tensor Recommender Systems

Yanqing Zhang, Xuan Bi, Niansheng Tang +1

Recommender systems have been extensively used by the entertainment industry, business marketing and the biomedical industry. In addition to its capacity of providing preference-ba…

stat.ME20201 cited

Multicategory Angle-based Learning for Estimating Optimal Dynamic Treatment Regimes with Censored Data

Fei Xue, Yanqing Zhang, Wenzhuo Zhou +2

An optimal dynamic treatment regime (DTR) consists of a sequence of decision rules in maximizing long-term benefits, which is applicable for chronic diseases such as HIV infection…

stat.ML2019

Individualized Multilayer Tensor Learning with An Application in Imaging Analysis

Xiwei Tang, Xuan Bi, Annie Qu

This work is motivated by multimodality breast cancer imaging data, which is quite challenging in that the signals of discrete tumor-associated microvesicles (TMVs) are randomly di…

stat.ME2019

Integrating multi-source block-wise missing data in model selection

Fei Xue, Annie Qu

For multi-source data, blocks of variable information from certain sources are likely missing. Existing methods for handling missing data do not take structures of block-wise missi…

stat.ME2018

Community Detection with Dependent Connectivity

Yubai Yuan, Annie Qu

In network analysis, within-community members are more likely to be connected than between-community members, which is reflected in that the edges within a community are intercorre…