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Xuan Bi
Assistant Professor
,
Information and Decision Sciences
Email
xbi
umn
edu
2015
2024
Research activity per year
Overview
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Network
Projects and Grants
(2)
Research output
(19)
Similar Profiles
(6)
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Dive into the research topics where Xuan Bi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Weight
Alphabetically
Mathematics
Recommender Systems
100%
Tensor
47%
Multilayer
35%
Imaging
34%
Longitudinal Data
30%
Factorization
28%
Ovary
24%
Hybrid Modeling
24%
Recommendations
23%
Adaptability
20%
Learning
20%
Sufficient Dimension Reduction
20%
Pregnancy
20%
Nested Models
20%
Alcohol
19%
Mixed Effects
19%
Privacy
18%
Invariant Distribution
17%
Estimating Equation
16%
Disability
16%
Regression
16%
Brain
15%
Higher-order Tensor
15%
Simulation Study
15%
Missing Data
15%
Central Subspace
14%
Regression Model
14%
Logistics
14%
Attack
14%
Reasoning
13%
Multimodality
12%
Tensor Decomposition
12%
Internal
12%
Privacy Protection
11%
Model
11%
Forecasting
11%
Prediction
10%
Infertility
10%
Statistics
10%
Modeling
9%
Marketing
9%
Dimension Reduction
8%
Independence
8%
Framework
8%
Demonstrate
8%
Singular value decomposition
7%
Health
7%
Industry
7%
Trade-offs
7%
Business & Economics
Recommender Systems
90%
Longitudinal Data
45%
Imaging
43%
Dimension Reduction
33%
Ovary
26%
Decomposition
26%
Invariant Distribution
24%
Codependence
23%
Nicotine
22%
Comorbidity
21%
Simulation Study
20%
Pregnancy
19%
Sales Forecasting
18%
Latent Factors
17%
Modeling
17%
Empirical Evaluation
16%
Rating
15%
Intellectual Disability
15%
Regression Model
14%
Alcohol
14%
Privacy
14%
Matrix
12%
Traits
12%
Singular Value Decomposition
12%
Addiction
12%
Multimodality
12%
Theoretical Framework
11%
Logistics
11%
Statistics
10%
Deep Learning
10%
Infertility
9%
Regularization
8%
Complex Networks
8%
Machine Learning
7%
Breast Cancer
7%
Missing Information
7%
Research Directions
6%
Privatization
6%
Asymptotic Normality
6%
Environmental Health
6%
Survey Data
6%
Missing Data
6%
Correlation Structure
6%
Inference
6%
Polls
5%
Latent Factor Models
5%
Variable Selection
5%
Collaborative Filtering
5%
