Jiaming Cui
9 papers · 2021–2026 · 4 venues · across top CS/AI venues
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Machine Learning
(7)
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(4)
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(3)
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Healthcare & Medicine
(2)
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Keywords
time series forecasting
(3)
epidemiological modeling
(2)
decision-focused learning
(2)
epidemiological model
(2)
uncertainty quantification
(1)
attention mechanism
(1)
stochastic optimization
(1)
graph generation
(1)
domain adaptation
(1)
deep learning
(1)
modality alignment
(1)
disease surveillance
(1)
network monitoring
(1)
expectation propagation
(1)
implicit differentiation
(1)
multimodal learning
(1)
machine learning
(1)
distribution-free learning
(1)
real-time prediction
(1)
data integration
(1)
Papers
Bridging Public Health with Clinical Decisions from a Data Centric Perspective
AAAI 2026
DF$^2$: Distribution-Free Decision-Focused Learning
UAI 2025
Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis
NeurIPS 2024
Autoregressive Diffusion Model for Graph Generation
ICML 2023
Detecting Sources of Healthcare Associated Infections
AAAI 2023
EINNs: Epidemiologically-Informed Neural Networks
AAAI 2023
End-to-end Stochastic Optimization with Energy-based Model
NeurIPS 2022
Provable Sensor Sets for Epidemic Detection over Networks with Minimum Delay
AAAI 2022
DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting
AAAI 2021