User profiles for Youran Qi

Youran Qi

Member of Technical Staff, Cohere
Verified email at wisc.edu
Cited by 59

Predicting phase 3 clinical trial results by modeling phase 2 clinical trial subject level data using deep learning

Y Qi, Q Tang - Machine Learning for Healthcare Conference, 2019 - proceedings.mlr.press
Predicting Phase 3 clinical trial results is a critical step of Go/No-Go decision making and
Phase 3 trial design optimization. To predict the overall treatment effect for patients enrolled …

A Statistical Experimental Design Method for Constructing Deterministic Sensing Matrices for Compressed Sensing

Y Qi, X He, TH Hung, P Chien - Journal of Machine Learning Research, 2024 - jmlr.org
Compressed sensing is a signal processing technique used to efficiently acquire and
reconstruct signals across various fields, including science, engineering, and business. A critical …

[HTML][HTML] Deciphering Gut Microbiome in Colorectal Cancer via Robust Learning Methods

H Han, Y Li, Y Qi, S Mangiola, W Ling - Genes, 2025 - mdpi.com
Background: Colorectal cancer (CRC) is one of the most prevalent cancers worldwide and
is closely linked to the gut microbiota. Identifying reproducible and generalizable microbial …

Sequential sampling enhanced composite likelihood approach to estimation of social intercorrelations in large-scale networks

Y Chen, Y Qi, Q Liu, P Chien - Quantitative Marketing and Economics, 2018 - Springer
The increasing access to large social network data has generated substantial interest in the
marketing community. However, due to its large scale, traditional analysis methods often …

Deep ensemble learning over the microbial phylogenetic tree (DeepEn-Phy)

W Ling, Y Qi, X Hua, MC Wu - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Successful prediction of clinical outcomes facilitates tailored diagnosis and treatment. The
microbiome has been shown to be an important biomarker to predict host clinical outcomes. …

[PDF][PDF] Construction of Supersaturated Designs with Small Coherence for Variable Selection

Y Qi, P Chien - The New England Journal of Statistics in …, 2023 - pdfs.semanticscholar.org
The supersaturated design is often used to discover important factors in an experiment with
a large number of factors and a small number of runs. We propose a method for constructing …

Combination of multi-modal MRI radiomics and liquid biopsy technique for preoperatively non-invasive diagnosis of glioma based on deep learning: protocol for a …

P Hu, L Xu, Y Qi, T Yan, L Ye, S Wen… - Frontiers in Molecular …, 2023 - frontiersin.org
Background 2021 World Health Organization (WHO) Central Nervous System (CNS) tumor
classification increasingly emphasizes the important role of molecular markers in glioma …

Effect of mesoporous silica@ nano-bioactive glass complex particles on the durability of dentin bonding

R You, H Qi, C Chen, H Xie - Microporous and Mesoporous Materials, 2022 - Elsevier
This study introduced a process for synthesizing mesoporous silicon@nano-bioactive glass
(nano-BAG) complex particles, and evaluated their effects on dentin bonding and …

REDU-Net: Robust and Efficient Dynamic Unfolding Network for Abundance Estimation

Y Ge, L Han, ME Paoletti, JM Haut… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
In the field of hyperspectral unmixing (HU), accurately determining the spectral signatures of
pure materials (end-members) and their abundances presents significant challenges. …

[PDF][PDF] Controlling Coherence in Supersaturated Design and Compressed Sensing

Y Qi - 2019 - asset.library.wisc.edu
The thesis consists of two topics. The first topic is construction of supersaturated designs.
Supersaturated designs are often used to discover important factors in an experiment with a …