activity
20202026
most citedThroughput Maximization for UAV-enabled Integrated Periodic Sensing and Communication

301 citations · 331 across the 38 of their papers we have counts for

collaborators

39 papers

cs.LG2026

Convergence-Latency-Aware Adaptive Modulation and Resource Allocation in RIS-Assisted Wireless Federated Learning

Liwei Wang, Wen Chen, Jun Li +4

Federated learning (FL) over wireless networks suffers from significant training latency and degraded convergence due to unreliable wireless transmission, especially under blocked…

cs.LG2025

Sum Rate Maximization in STAR-RIS-UAV-Assisted Networks: A CA-DDPG Approach for Joint Optimization

Yujie Huang, Haibin Wan, Xiangcheng Li +4

With the rapid advances in programmable materials, reconfigurable intelligent surfaces (RIS) have become a pivotal technology for future wireless communications. The simultaneous t…

eess.SP2025

Fair Rate Maximization for Multi-User Multi-Cell MISO Communication Systems via Novel Transmissive RIS Transceiver

Yuan Guo, Wen Chen, Qingqing Wu +4

This paper explores a multi-cell multiple-input single-output (MISO) downlink communication system enabled by a unique transmissive reconfigurable intelligent surface (TRIS) transc…

cs.LG2025

Hierarchical Federated Learning for Social Network with Mobility

Zeyu Chen, Wen Chen, Jun Li +5

Federated Learning (FL) offers a decentralized solution that allows collaborative local model training and global aggregation, thereby protecting data privacy. In conventional FL f…

cs.DC2025

Analysis and Optimization of Wireless Multimodal Federated Learning on Modal Heterogeneity

Xuefeng Han, Wen Chen, Jun Li +6

Multimodal federated learning (MFL) is a distributed framework for training multimodal models without uploading local multimodal data of clients, thereby effectively protecting cli…

cs.LG2025★ 6 cited

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis

Yajiao Dai, Jun Li, Zhen Mei +5

Intelligent fault diagnosis (IFD) plays a crucial role in ensuring the safe operation of industrial machinery and improving production efficiency. However, traditional supervised d…

cs.IT2024

Beamforming Design and Multi-User Scheduling in Transmissive RIS Enabled Distributed Cooperative ISAC Networks with RSMA

Ziwei Liu, Wen Chen, Qingqing Wu +4

In this paper, we propose a novel transmissive reconfigurable intelligent surface (TRIS) transceiver-empowered distributed cooperative integrated sensing and communication (ISAC) n…

eess.SP2024

Movable Antenna Enhanced Networked Integrated Sensing and Communication System

Yuan Guo, Wen Chen, Qingqing Wu +5

Integrated sensing and communication (ISAC) is a key technology for future 6G networks. Most existing studies focus on monostatic and/or bistatic setups with limited coverage and c…

eess.SP2024

Towards TMA-Based Transmissive RIS Transceiver Enabled Downlink Communication Networks: A Consensus-ADMM Approach

Zhendong Li, Wen Chen, Haoran Qin +4

This paper presents a novel multi-stream downlink communication system that utilizes a transmissive reconfigurable intelligent surface (RIS) transceiver. Specifically, we elaborate…

eess.SP2024

Transmissive RIS Enabled Transceiver Systems:Architecture, Design Issues and Opportunities

Zhendong Li, Wen Chen, Qingqing Wu +4

Reconfigurable intelligent surface (RIS) is anticipated to augment the performance of beyond fifth-generation (B5G) and sixth-generation (6G) networks by intelligently manipulating…

cs.IT2024

Intelligent Reflecting Surface Aided AirComp: Multi-Timescale Design and Performance Analysis

Guangji Chen, Jun Li, Qingqing Wu +3

The integration of intelligent reflecting surface (IRS) into over-the-air computation (AirComp) is an effective solution for reducing the computational mean squared error (MSE) via…

cs.DC2024

Communication-Efficient Model Aggregation with Layer Divergence Feedback in Federated Learning

Liwei Wang, Jun Li, Wen Chen +2

Federated Learning (FL) facilitates collaborative machine learning by training models on local datasets, and subsequently aggregating these local models at a central server. Howeve…

cs.IT2024

Robust Analysis of Full-Duplex Two-Way Space Shift Keying With RIS Systems

Xusheng Zhu, Wen Chen, Qingqing Wu +3

Reconfigurable intelligent surface (RIS)-assisted index modulation system schemes are considered a promising technology for sixth-generation (6G) wireless communication systems, wh…

cs.IT2024

Fairness Optimization for Intelligent Reflecting Surface Aided Uplink Rate-Splitting Multiple Access

Shanshan Zhang, Wen Chen, Qingqing Wu +3

This paper studies the fair transmission design for an intelligent reflecting surface (IRS) aided rate-splitting multiple access (RSMA). IRS is used to establish a good signal prop…

cs.DC2024

Energy-Efficient Wireless Federated Learning via Doubly Adaptive Quantization

Xuefeng Han, Wen Chen, Jun Li +5

Federated learning (FL) has been recognized as a viable distributed learning paradigm for training a machine learning model across distributed clients without uploading raw data. H…

cs.IT2024

Rate-Splitting Multiple Access for Transmissive Reconfigurable Intelligent Surface Transceiver Empowered ISAC System

Ziwei Liu, Wen Chen, Qingqing Wu +4

In this paper, a novel transmissive reconfigurable intelligent surface (TRIS) transceiver empowered integrated sensing and communications (ISAC) system is proposed for future multi…

cs.IT2023

Reconfigurable Intelligent Surface Aided Space Shift Keying With Imperfect CSI

Xusheng Zhu, Wen Chen, Qingqing Wu +4

In this paper, we investigate the performance of reconfigurable intelligent surface (RIS)-aided spatial shift keying (SSK) wireless communication systems with imperfect channel sta…

cs.LG2023★ 1 cited

Federated Meta-Learning for Few-Shot Fault Diagnosis with Representation Encoding

Jixuan Cui, Jun Li, Zhen Mei +5

Deep learning-based fault diagnosis (FD) approaches require a large amount of training data, which are difficult to obtain since they are located across different entities. Federat…

cs.IT2023

Performance Analysis of RIS-Aided Double Spatial Scattering Modulation for mmWave MIMO Systems

Xusheng Zhu, Wen Chen, Qingqing Wu +4

In this paper, we investigate a practical structure of reconfigurable intelligent surface (RIS)-based double spatial scattering modulation (DSSM) for millimeter-wave (mmWave) multi…

cs.IT2023★ 1 cited

Intelligent Reflecting Surface Aided MIMO Networks: Distributed or Centralized Architecture?

Guangji Chen, Qingqing Wu, Wen Chen +4

We investigate the capacity of a broadcast channel with a multi-antenna base station (BS) sending independent messages to multiple users, aided by IRSs with N elements. In particul…

cs.IT2023

On the Performance of RIS-Aided Spatial Scattering Modulation for mmWave Transmission

Xusheng Zhu, Wen Chen, Zhendong Li +4

In this paper, we investigate a state-of-the-art reconfigurable intelligent surface (RIS)-assisted spatial scattering modulation (SSM) scheme for millimeter-wave (mmWave) systems,…

cs.LG2023

Analysis and Optimization of Wireless Federated Learning with Data Heterogeneity

Xuefeng Han, Jun Li, Wen Chen +4

With the rapid proliferation of smart mobile devices, federated learning (FL) has been widely considered for application in wireless networks for distributed model training. Howeve…

cs.IT2023

Deep Reinforcement Learning Based Intelligent Reflecting Surface Optimization for TDD MultiUser MIMO Systems

Fengyu Zhao, Wen Chen, Ziwei Liu +2

In this letter, we investigate the discrete phase shift design of the intelligent reflecting surface (IRS) in a time division duplexing (TDD) multi-user multiple input multiple out…

cs.IT2023

Performance of RIS-Assisted Full-Duplex Space Shift Keying With Imperfect Self-Interference Cancellation

Xusheng Zhu, Wen Chen, Qingqing Wu +2

In this paper, we consider a full-duplex (FD) space shift keying (SSK) communication system, where information exchange between two users is assisted only by a reconfigurable intel…