8 citations · 8 across the 8 of their papers we have counts for
11 papers
Semantic-Aware Joint Source-Channel Optimization for Encoder-Agnostic Digital Video Communication
Xiangben Zhu, Caili Guo, Yang Yang +2
Video semantic communication has attracted increasing attention as a promising approach to improving video transmission efficiency. However, most existing approaches rely on comput…
Post-Hoc Conformal Prediction for Reliable Wireless Communications
Xin Su, Meiyi Zhu, Osvaldo Simeone +1
Deploying artificial intelligence (AI) in high-stakes wireless applications such as autonomous transportation requires guarantees of reliable operation. Such guarantees can often b…
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…
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…
Reliable Narrowband Interference Detection via Backward Conformal Prediction
Xin Su, Meiyi Zhu, Osvaldo Simeone +2
Narrowband interference can severely degrade the performance of wireless links by concentrating significant power on a small portion of the channel. Machine learning detectors trai…
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…
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…
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…
On the Impact of Uncertainty and Calibration on Likelihood-Ratio Membership Inference Attacks
Meiyi Zhu, Caili Guo, Chunyan Feng +1
In a membership inference attack (MIA), an attacker exploits the overconfidence exhibited by typical machine learning models to determine whether a specific data point was used to…
Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal Prediction
Meiyi Zhu, Matteo Zecchin, Sangwoo Park +3
In this paper, we consider a wireless federated inference scenario in which devices and a server share a pre-trained machine learning model. The devices communicate statistical inf…
Information Bottleneck-Inspired Type Based Multiple Access for Remote Estimation in IoT Systems
Meiyi Zhu, Chunyan Feng, Caili Guo +2
Type-based multiple access (TBMA) is a semantics-aware multiple access protocol for remote inference. In TBMA, codewords are reused across transmitting sensors, with each codeword…