5 papers
A Primal Perspective on Distributionally Robust Optimization: An Investigation on Modeling and Solution Strategies
Yiqi Tian, Bo Zeng
As a popular optimization scheme, distributionally robust optimization (DRO) protects decisions against ambiguity in probability distributions. For (single-stage) DRO, prevailing d…
Hallucination-Aware Diffusion Sampling for Inverse Problems via Robust Prior Updates
Pengfei Jin, Yiqi Tian, Kailong Fan +2
Diffusion-based inverse problem solvers can produce realistic reconstructions, but realism alone does not ensure that the recovered details are supported by the measurement. We stu…
DuetFair: Coupling Inter- and Intra-Subgroup Robustness for Fair Medical Image Segmentation
Yiqi Tian, Sangjoon Park, Bo Zeng +3
Medical image segmentation models can perform unevenly across subgroups. Most existing fairness methods focus on improving average subgroup performance, implicitly treating each su…
RODS: Robust Optimization Inspired Diffusion Sampling for Detecting and Reducing Hallucination in Generative Models
Yiqi Tian, Pengfei Jin, Mingze Yuan +3
Diffusion models have achieved state-of-the-art performance in generative modeling, yet their sampling procedures remain vulnerable to hallucinations-often stemming from inaccuraci…
Simulating the blood transfusion system in Kenya: Modelling methods and exploratory analyses
Yiqi Tian, Bo Zeng, Jana MacLeod +21
The process of collecting blood from donors and making it available for transfusion requires a complex series of operations involving multiple actors and resources at each step. En…