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Yan Yan

Texas State University - San Marcos

$3,003,295
Attributed
$4,864,367
Total exposure
11
Grants
8
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 $1.9M · FY201925
$2M$1.5M$1M$500K$0
'19
'20
'21
'22
'23
'24
'25

Funding mix

By agency

NSF$4,864,367 · 11

By mechanism

$4,864,367 · 11

Top collaborators

Grant awards (11)

Enhancing STEM Education with Artificial Intelligence: A Virtual Teaching Assistant to Engage in Effective Pedagogical Methods$397,611
· FY2025 · EDU
CAREER: Integrating Conformal Prediction into Machine Learning for Provably Safe Deployment$317,381
· FY2025 · CSE · contact PI
Collaborative Research: CSR: Small:Accurate and Private Multi-Camera Surveillance System on Time-Sensitive Networks$200,000
· FY2025 · CSE · contact PI
CRCNS Research Proposal: A Unified Framework for Unsupervised Sparse-to-dense Brain Image Generation and Neural Circuit Reconstruction$807,867
· FY2024 · CSE · contact PI
Collaborative Research: SCH: Personalized Watch-based Fall Risk Analysis and Detection with Cross Modal Learning$208,041
· FY2024 · ENG · contact PI
CPS: Medium: Smart Harvesting - Enhancing automated apple harvesting through apple harvesting through collaborative$1,199,998
· FY2023 · CSE
CRCNS Research Proposal: A Unified Framework for Unsupervised Sparse-to-dense Brain Image Generation and Neural Circuit Reconstruction$740,000
· FY2023 · CSE · contact PI
Collaborative Research: SCH: Personalized Watch-based Fall Risk Analysis and Detection with Cross Modal Learning$209,505
· FY2021 · ENG · contact PI
CNS Core: Small: Collaborative: Content-Based Viewport Prediction Framework for Live Virtual Reality Streaming$125,982
· FY2021 · CSE · contact PI
CNS Core: Small: Interpretable Multi-Modal Neural Network Pruning for Edge Devices$532,000
· FY2019 · CSE
CNS Core: Small: Collaborative: Content-Based Viewport Prediction Framework for Live Virtual Reality Streaming$125,982
· FY2019 · CSE · contact PI