67 citations · 111 across the 41 of their papers we have counts for
7 papers · 1 filter
Dynamic Topic Modeling with a Higher-Order Hypergraphical Representation
Hanjia Gao, Hanwen Ye, Qing Nie +1
Dynamic topic modeling is widely used to analyze evolving trends in scientific literature, medical records, and social media. Traditional topic models represent each topic through…
Meta Fusion: A Unified Framework For Multimodality Fusion with Mutual Learning
Ziyi Liang, Annie Qu, Babak Shahbaba
Developing effective multimodal data fusion strategies has become increasingly essential for improving the predictive power of statistical machine learning methods across a wide ra…
Multi-task Learning for Heterogeneous Multi-source Block-Wise Missing Data
Yang Sui, Qi Xu, Yang Bai +1
Multi-task learning (MTL) has emerged as an imperative machine learning tool to solve multiple learning tasks simultaneously and has been successfully applied to healthcare, market…
Representation Retrieval Learning for Heterogeneous Data Integration
Qi Xu, Annie Qu
In the era of big data, large-scale, multi-source, multi-modality datasets are increasingly ubiquitous, offering unprecedented opportunities for predictive modeling and scientific…
Covariate-Elaborated Robust Partial Information Transfer with Conditional Spike-and-Slab Prior
Ruqian Zhang, Yijiao Zhang, Annie Qu +2
The popularity of transfer learning stems from the fact that it can borrow information from useful auxiliary datasets. Existing statistical transfer learning methods usually adopt…
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…
Bridging Medical Data Inference to Achilles Tendon Rupture Rehabilitation
An Qu, Cheng Zhang, Paul Ackermann +1
Imputing incomplete medical tests and predicting patient outcomes are crucial for guiding the decision making for therapy, such as after an Achilles Tendon Rupture (ATR). We formul…