activity
20232026
collaborators

8 papers

cs.IT2026

Risk-Averse Decision Making via Quantum Measurement Design

Meiyi Zhu, Osvaldo Simeone

Quantum measurements are conventionally optimized to maximize the average of a utility that depends on the true state and on the measurement outcome. However, when the outcome of t…

cs.LG2026

Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations

Seunghun Yu, Meiyi Zhu, Petar Popovski +2

Detecting when the statistical behavior of an engineered system changes, and identifying which component is responsible, are core problems in the monitoring of telecommunication ne…

eess.SP2026

Reliable Narrowband Interference Detection via Backward Conformal Prediction

Xin Su, Meiyi Zhu, Osvaldo Simeone +2

Narrowband interference can severely degrade the performance of WiFi links by concentrating significant power on a small portion of the channel. Machine learning (ML) detectors tra…

cs.LG2026

Beyond Fixed False Discovery Rates: Post-Hoc Conformal Selection with E-Variables

Meiyi Zhu, Osvaldo Simeone

Conformal selection (CS) uses calibration data to identify test inputs whose unobserved outcomes are likely to satisfy a pre-specified minimal quality requirement, while controllin…

cs.LG2025

Attention-Based Feature Online Conformal Prediction for Time Series

Meiyi Zhu, Caili Guo, Chunyan Feng +1

Online conformal prediction (OCP) wraps around any pre-trained predictor to produce prediction sets with coverage guarantees that hold irrespective of temporal dependencies or dist…

eess.SP2024

Conformal Distributed Remote Inference in Sensor Networks Under Reliability and Communication Constraints

Meiyi Zhu, Matteo Zecchin, Sangwoo Park +4

This paper presents communication-constrained distributed conformal risk control (CD-CRC) framework, a novel decision-making framework for sensor networks under communication const…