Guanding Yu — accepted AI-conference papers

2026

Prediction-Powered Risk Monitoring of Deployed Models for Detecting Harmful Distribution Shifts

Guangyi Zhang, Yunlong Cai, Guanding Yu, Osvaldo Simeone

ICML 2026poster

We study the problem of monitoring model performance in dynamic environments where labeled data are limited. To this end, we propose prediction-powered risk monitoring (PPRM), a semi-supervised risk-monitoring approach based on prediction-powered inference (PPI). PPRM constructs anytime-valid lower …

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2025

Learned Image Transmission with Hierarchical Variational Autoencoder

Guangyi Zhang, Hanlei Li, Yunlong Cai, Qiyu Hu, Guanding Yu, Runmin Zhang

AAAI 2025technical

In this paper, we introduce an innovative hierarchical joint source-channel coding (HJSCC) framework for image transmission, utilizing a hierarchical variational autoencoder (VAE). Our approach leverages a combination of bottom-up and top-down paths at the transmitter to autoregressively generate mu…

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