← Search

Zhengwu Zhang

2 accepted papers

2026

Prediction-Powered Adaptive Inference with Pretrained AI Models for Contextual Bandits

ICML 2026poster

In adaptive experiments, statistical inference is essential for reliable decision-making and scientific discovery. Often in these settings, collecting labeled data is expensive, but decision-makers have access to large unlabeled datasets and strong pretrained AI models that can generate outcome pred…

Cited by 0Source ↗Scholar ↗
2020

Supervised Graph Representation Learning for Modeling the Relationship between Structural and Functional Brain Connectivity

ICASSP 2020accepted

In this paper, we propose a supervised graph representation learning method to model the relationship between brain functional connectivity (FC) and structural connectivity (SC) through a graph encoder-decoder system. The graph convolutional network (GCN) model is leveraged in the encoder to learn l…

Cited by 0Source ↗Scholar ↗