← Leaderboards
Na Zou
Texas A&M Engineering Experiment Station
$2,609,702
Attributed
$3,429,750
Total exposure
8
Grants
6
Lead (contact PI)
Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants.
Funding over time
peak $1.2M · FY2019–24$2M$1.5M$1M$500K$0
'19
'20
'21
'22
'23
'24
Funding mix
By agency
NSF$3,429,750 · 8
By mechanism
—$3,429,750 · 8
Top collaborators
- Chaitanya Lakkimsetti1 shared
- James Caverlee1 shared
- Jianhua Huang1 shared
Grant awards (8)
CAREER: Exploring and Exploiting Data-Centric Modeling for Fairness in Machine Learning$547,741
· FY2024 · CSE · contact PI
III: Medium: Collaborative Research: Towards Effective Interpretation of Deep Learning: Prediction, Representation, Modeling and Utilization$515,742
· FY2024 · CSE · contact PI
Collaborative Research: CISE MSI: RDP: III: Towards Robust and Human-Aligned Deep Learning for Medical-Sensor Time Series$169,982
· FY2024 · CSE · contact PI
CAREER: Exploring and Exploiting Data-Centric Modeling for Fairness in Machine Learning$325,925
· FY2023 · CSE · contact PI
Collaborative Research: III: Medium: Towards Effective Detection and Mitigation for Shortcut Learning: A Data Modeling Framework$200,000
· FY2023 · CSE · contact PI
Collaborative Research: III: Medium: Towards Effective Detection and Mitigation for Shortcut Learning: A Data Modeling Framework$200,000
· FY2023 · CSE · contact PI
FAI: Towards Fairness in Deep Neural Networks with Learning Interpretation$509,211
· FY2020 · CSE
III: Medium: Collaborative Research: Towards Effective Interpretation of Deep Learning: Prediction, Representation, Modeling and Utilization$961,149
· FY2019 · CSE