1 citations · 1 across the 7 of their papers we have counts for
7 papers
EpiCastBench: Datasets and Benchmarks for Multivariate Epidemic Forecasting
Madhurima Panja, Danny D'Agostino, Huitao Li +2
The increasing adoption of data-driven decision-making in public health has established epidemic forecasting as a critical area of research. Recent advances in multivariate forecas…
Communication-efficient distributed hazard difference estimation for heterogeneous multi-site survival data
Ziwen Wang, Siqi Li, Marcus Eng Hock Ong +1
Multi-site collaboration can power survival models that no single hospital could fit alone, but privacy rules and protected computing environments block patient-level data sharing…
TRACER: Transfer Learning based Real-time Adaptation for Clinical Evolving Risk
Mengying Yan, Ziye Tian, Siqi Li +4
Clinical decision support tools built on electronic health records often experience performance drift due to temporal population shifts, particularly when changes in the clinical e…
Shift-Invariant Attribute Scoring for Kolmogorov-Arnold Networks via Shapley Value
Wangxuan Fan, Ching Wang, Siqi Li +1
For many real-world applications, understanding feature-outcome relationships is as crucial as achieving high predictive accuracy. While traditional neural networks excel at predic…
Robust Mixture Models for Algorithmic Fairness Under Latent Heterogeneity
Siqi Li, Molei Liu, Yiwei Lyu +3
Machine learning models optimized for average performance can perform poorly on vulnerable subpopulations. Existing approaches often rely on groups specified in advance, yet fairne…
Toward Fair Federated Learning under Demographic Disparities and Data Imbalance
Qiming Wu, Siqi Li, Doudou Zhou +1
Ensuring fairness is critical when applying artificial intelligence to high-stakes domains such as healthcare, where predictive models trained on imbalanced and demographically ske…
SIM-Shapley: A Stable and Computationally Efficient Approach to Shapley Value Approximation
Wangxuan Fan, Siqi Li, Doudou Zhou +4
Explainable artificial intelligence (XAI) is essential for trustworthy machine learning (ML), particularly in high-stakes domains such as healthcare and finance. Shapley value (SV)…