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Profile
Yong Ge
Associate Professor, Management Information Systems | Member of the Graduate Faculty
Management Information Systems
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Overview
Research
More
Collaboration
(6)
C. Kent Kwoh
Mutual work: 12 Proposals﹒2 Grants
Collaboration Details
Jeannie Lee
Mutual work: 2 Proposals﹒1 Grant
Collaboration Details
Edward Bedrick
Mutual work: 1 Grant﹒2 Proposals
Collaboration Details
Zong-Ming Li
Mutual work: 1 Grant
Collaboration Details
Jianqiang Cheng
Mutual work: 1 Proposal﹒1 Grant
Collaboration Details
Page 1 of 2
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Grants
(8)
III: Small: A Big Data and Machine Learning Approach for Improving the Efficiency of Two-sided Online Labor Markets
Active
·
2023
·
$600K
·
External
Principal Investigator (PI)
big data,
machine learning,
online labor markets,
efficiency,
two-sided markets
Identifying Determinants of Rapid Structural and/or Clinical Progression in Knee Osteoarthritis by Quantitative Assessment of Structural Features on Radiographs
Active
·
2022
·
$132.7K / $402K
·
External
Co-Investigator (COI)
osteoarthritis,
structural progression,
clinical progression,
quantitative assessment,
radiographs
lll: Small: Learning to Hash Information Networks
Active
·
2020
·
$299.8K / $499.6K
·
External
Principal Investigator (PI)
machine learning,
hashing,
information networks,
data mining,
computer science
III: Small: Collaborative Research: Harnessing Big Data for Improving Career Mobility
Active
·
2020
·
$257.9K
·
External
Principal Investigator (PI)
big data,
career mobility,
collaborative research,
small,
improving
CAREER: Mining Career, Education and Job Data to Bridge the Talent Gap between Demand and Supply
Active
·
2019
·
$507.9K
·
External
Principal Investigator (PI)
data mining,
workforce development,
labor market,
education,
career planning
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Publications
(139)
Recent
Learning Balanced Tree Indexes for Large-Scale Vector Retrieval
2023
indexing,
machine learning,
information retrieval,
data structures,
big data
The 4th International Workshoon Talent and Management Computing TMC'2023)
2023
talent management,
computing,
international workshop,
workshop
Enhance Knowledge Graph Embedding by Mixup
2023
knowledge graph embedding,
enhanced embedding techniques,
data fusion,
graph-based learning,
machine learning
Influence-Driven Data Poisoning for Robust Recommender Systems
2023
recommender systems,
data poisoning,
influence,
robustness,
data security
CrimeTensor: Fine-Scale Crime Prediction via Tensor Learning with Spatiotemporal Consistency
2022
crime prediction,
tensor learning,
spatiotemporal consistency,
fine-scale prediction,
research methods
Comparison of Evaluation Metrics of DeeLearning for Imbalanced Imaging Data in Osteoarthritis Studies
2022
deep learning,
imbalanced data,
evaluation metrics,
osteoarthritis,
imaging data
Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing
2022
reinforcement learning,
electric vehicles,
graph convolutional networks,
dynamic pricing,
multi-agent systems
Job and Employee Embeddings: A Joint DeeLearning Approach
2022
job embeddings,
employee embeddings,
deep learning,
joint learning,
workforce analytics
Boosting Factorization Machines via Saliency-Guided Mixup
2022
factorization machines,
boosting,
saliency,
mixup,
machine learning
Winning Tracker: A New Model for Real-time Winning Prediction in MOBA Games
2022
game analytics,
predictive modeling,
real-time data analysis,
online gaming,
machine learning
