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Ge Liu
Assistant Professor
,
Siebel School of Computing and Data Science
Affiliate
,
Carl R. Woese Institute for Genomic Biology
Email
geliu
illinois
edu
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Research & Scholarship
(19)
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Dive into the research topics where Ge Liu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Keyphrases
Intensity Modeling
100%
COVID-19
100%
Deep Neural Network
70%
Item Recommendation
58%
Intensity Model
47%
Population Coverage
47%
User State
44%
Feature Map
44%
Visualization Tools
44%
DNA-binding Proteins
41%
Machine Learning
33%
MRNA-LNP
33%
Time Coverage
33%
Vaccine Design
33%
High Capacity
33%
Therapeutic Biologics
33%
Vaccine Peptide
33%
Complementarity-determining Region 3 (CDR3)
33%
Target Specificity
33%
Multi-objective Optimization
33%
Inverse Propensity Score
33%
Recommender Systems
33%
Data-efficient Training
33%
User Recommendation
33%
Online Matching
33%
Coverage Gap
33%
T Cell Vaccine
33%
Adaptive Behavior
33%
Biological Mechanisms
33%
Haplotype Frequency
33%
Cellular Immunity
33%
Vaccine Formulation
33%
Behavioral Policy
33%
User Graph
33%
Sequential Recommendation
33%
Convolutional Neural Network Architecture
33%
HLA Transgenic Mice
33%
Hypergraph Dualization
33%
User Modeling
33%
Subunit Vaccine
33%
Feature Sharing
33%
Uncertainty Estimation
33%
Post-infection
33%
Training Data
33%
MHC Class I
33%
Feature Interaction
33%
MHC Class II
33%
Self-attention
33%
Sequence Graphs
33%
Policy Sharing
33%
Computer Science
Optimization Problem
83%
Deep Neural Network
70%
Constrained Optimization
66%
Temporal State
66%
Feature Map
44%
Visualization Tool
44%
Convolutional Neural Network
44%
Recommender Systems
37%
Decision-Making
37%
State Distribution
33%
User Modeling
33%
Integer-Linear Programming
33%
Practical Solution
33%
Multi-Objective Optimization
33%
And-States
33%
Marketing Campaign
33%
Reinforcement Learning
33%
Neural Network Architecture
33%
Sharing Feature
33%
Case Study
33%
Feature Interaction
33%
Adaptive Behavior
33%
Range Interaction
33%
Large Language Model
33%
Geometric Graph
33%
Graph Neural Network
33%
Probability Measure
33%
training algorithm
20%
Multiobjective
16%
Collected Data
16%
Performance Optimization
16%
Research Process
16%
Research Service
16%
Generative Model
16%
Fisher Information
16%
Complex Pattern
16%
Sampling Algorithm
16%
Geodesics
16%
Quantitative Evaluation
16%
Likelihood Estimation
16%
Information Retrieval
16%
Combinatorial Logic
11%
Chromatin Mark
11%
User Representation
11%
Feature Space
11%
Negative Feature
11%
Synthetic Data
11%
Annotation
11%
Analysis Framework
11%
Network Vulnerability
11%
