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Profile
Yong Ge
Member of the Graduate Faculty | Associate Professor, Management Information Systems
Management Information Systems
Overview
Research
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Collaboration
(6)
Xiaoxiao Sun
Mutual work: 6 Proposals﹒1 Grant
Collaboration Details
Zong-Ming Li
Mutual work: 1 Grant
Collaboration Details
Jeannie Lee
Mutual work: 2 Proposals﹒1 Grant
Collaboration Details
Edward Bedrick
Mutual work: 1 Grant﹒2 Proposals
Collaboration Details
C. Kent Kwoh
Mutual work: 2 Grants﹒12 Proposals
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
Page 1 of 2
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Publications
(142)
Recent
Enhance Knowledge Graph Embedding by Mixup
2023
knowledge graph embedding,
enhanced embedding techniques,
data fusion,
graph-based learning,
machine learning
The 4th International Workshoon Talent and Management Computing TMC'2023)
2023
talent management,
computing,
international workshop,
workshop
Learning Balanced Tree Indexes for Large-Scale Vector Retrieval
2023
indexing,
machine learning,
information retrieval,
data structures,
big data
Influence-Driven Data Poisoning for Robust Recommender Systems
2023
recommender systems,
data poisoning,
influence,
robustness,
data security
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
Boosting Factorization Machines via Saliency-Guided Mixup
2022
factorization machines,
boosting,
saliency,
mixup,
machine learning
Job and Employee Embeddings: A Joint DeeLearning Approach
2022
job embeddings,
employee embeddings,
deep learning,
joint learning,
workforce analytics
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