activity
20202026
most citedHierarchical Passive Beamforming for Reconfigurable Intelligent Surface Aided Communications

3 citations · 3 across the 9 of their papers we have counts for

collaborators

10 papers

eess.SP2026

Wireless Intelligence Needs a Cerebellum: Score-Based Foundation Models Toward Real-Time Physical-Layer Inference

Chang Cai, Boyu Teng, Xiaojun Yuan +1

Wireless intelligence requires not only large foundation models for network-wide planning and decision-making, but also a compact "cerebellum" for fast and precise physical-layer i…

cs.CV2025

Score-Based Turbo Message Passing for Plug-and-Play Compressive Imaging

Chang Cai, Hao Jiang, Xiaojun Yuan +1

Message-passing algorithms have been adapted for compressive imaging by incorporating various off-the-shelf image denoisers. However, these denoisers rely largely on generic or han…

eess.SP2025

Scoring ISAC: Benchmarking Integrated Sensing and Communications via Score-Based Generative Modeling

Lin Chen, Chang Cai, Huiyuan Yang +2

Integrated sensing and communications (ISAC) is a key enabler for next-generation wireless systems, aiming to support both high-throughput communication and high-accuracy environme…

eess.SP2025

Joint Activity Detection and Channel Estimation for Massive Connectivity: Where Message Passing Meets Score-Based Generative Priors

Chang Cai, Wenjun Jiang, Xiaojun Yuan +1

Massive connectivity supports the sporadic access of a vast number of devices without requiring prior permission from the base station (BS). In such scenarios, the BS must perform…

eess.IV2025

Score-Based Turbo Message Passing for Plug-and-Play Compressive Image Recovery

Chang Cai, Xiaojun Yuan, Ying-Jun Angela Zhang

Message passing algorithms have been tailored for compressive imaging applications by plugging in different types of off-the-shelf image denoisers. These off-the-shelf denoisers mo…

cs.IT2024

End-to-End Learning for Task-Oriented Semantic Communications Over MIMO Channels: An Information-Theoretic Framework

Chang Cai, Xiaojun Yuan, Ying-Jun Angela Zhang

This paper addresses the problem of end-to-end (E2E) design of learning and communication in a task-oriented semantic communication system. In particular, we consider a multi-devic…

eess.SP2023

Multi-Device Task-Oriented Communication via Maximal Coding Rate Reduction

Chang Cai, Xiaojun Yuan, Ying-Jun Angela Zhang

In task-oriented communications, most existing work designed the physical-layer communication modules and learning based codecs with distinct objectives: learning is targeted at ac…

cs.IT2022

RIS Partitioning Based Scalable Beamforming Design for Large-Scale MIMO: Asymptotic Analysis and Optimization

Chang Cai, Xiaojun Yuan, Ying-Jun Angela Zhang

In next-generation wireless networks, reconfigurable intelligent surface (RIS)-assisted multiple-input multiple-output (MIMO) systems are foreseeable to support a large number of a…

cs.IT2021★ 3 cited

Hierarchical Passive Beamforming for Reconfigurable Intelligent Surface Aided Communications

Chang Cai, Xiaojun Yuan, Wenjing Yan +3

In reconfigurable intelligent surfaces (RISs) aided communications, the existing passive beamforming (PB) design involves polynomial complexity in the number of reflecting elements…

cs.IT2020

Two-Timescale Optimization for Intelligent Reflecting Surface Aided D2D Underlay Communication

Chang Cai, Huiyuan Yang, Xiaojun Yuan +1

The performance of a device-to-device (D2D) underlay communication system is limited by the co-channel interference between cellular users (CUs) and D2D devices. To address this ch…