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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 0SourceScholar
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 0SourceScholar