most citedUnveiling the Power of Complex-Valued Transformers in Wireless Communications

3 citations · 3 across the 11 of their papers we have counts for

collaborators

12 papers

cs.IT2026

Sensing-Induced Embodied Communication in the Near Field

Jingreng Lei, Yulin Shao

Integrated sensing and communication is turning the cellular infrastructure into an active observer of the physical world. When such infrastructure interacts with embodied agents c…

cs.DC2026

AirMoE: Statistic-Augmented Over-the-Air MoE for Collaborative Intelligence

Wei-Bin Kou, Jingreng Lei, Guangxu Zhu +1

Mixture of Experts (MoE) are increasingly deployed over wireless cloud-edge networks, as a single edge device lacks sufficient resources to host large-scale models locally. In this…

cs.LG2026

Dualformer: Efficient Feature Extractor for Complex-valued Blind Communication Signal Analysis

Yurui Zhao, Xiang Wang, Jingreng Lei +3

Designing effective feature extractors is critical for blind signal analysis tasks such as automatic modulation recognition (AMR), signal scheme recognition (SSR), and \color{black…

cs.LG2026

Model Evolution Under Zeroth-Order Optimization: A Neural Tangent Kernel Perspective

Chen Zhang, Yuxin Cheng, Chenchen Ding +5

Zeroth-order (ZO) optimization enables memory-efficient training of neural networks by estimating gradients via forward passes only, eliminating the need for backpropagation. Howev…

eess.SP2026

Learning to Jointly Optimize Antenna Positioning and Beamforming for Movable Antenna-Aided Systems

Yikun Wang, Yang Li, Zeyi Ren +3

The recently emerged movable antenna (MA) and fluid antenna technologies offer promising solutions to enhance the spatial degrees of freedom in wireless systems by dynamically adju…

cs.RO2025

Statistic-Augmented, Decoupled MoE Routing and Aggregating in Autonomous Driving

Wei-Bin Kou, Guangxu Zhu, Jingreng Lei +3

Autonomous driving (AD) scenarios are inherently complex and diverse, posing significant challenges for a single deep learning model to effectively cover all possible conditions, s…

eess.SP2025

A Unified Distributed Algorithm for Hybrid Near-Far Field Activity Detection in Cell-Free Massive MIMO

Jingreng Lei, Yang Li, Ziyue Wang +3

A great amount of endeavor has recently been devoted to activity detection for massive machine-type communications in cell-free multiple-input multiple-output (MIMO) systems. Howev…

cs.RO2025

Adverse Weather-Independent Framework Towards Autonomous Driving Perception through Temporal Correlation and Unfolded Regularization

Wei-Bin Kou, Guangxu Zhu, Rongguang Ye +5

Various adverse weather conditions such as fog and rain pose a significant challenge to autonomous driving (AD) perception tasks like semantic segmentation, object detection, etc.…

eess.SP2025

Distributed Activity Detection for Cell-Free Hybrid Near-Far Field Communications

Jingreng Lei, Yang Li, Zeyi Ren +4

A great amount of endeavor has recently been devoted to activity detection for massive machine-type communications in cell-free massive MIMO. However, in practice, as the number of…

cs.LG2025

Deep Unfolding with Kernel-based Quantization in MIMO Detection

Zeyi Ren, Jingreng Lei, Yichen Jin +5

The development of edge computing places critical demands on energy-efficient model deployment for multiple-input multiple-output (MIMO) detection tasks. Deploying deep unfolding m…

eess.SP2025★ 3 cited

Unveiling the Power of Complex-Valued Transformers in Wireless Communications

Yang Leng, Qingfeng Lin, Long-Yin Yung +3

Utilizing complex-valued neural networks (CVNNs) in wireless communication tasks has received growing attention for their ability to provide natural and effective representation of…

cs.LG2025

Mixture of Experts-augmented Deep Unfolding for Activity Detection in IRS-aided Systems

Zeyi Ren, Qingfeng Lin, Jingreng Lei +2

In the realm of activity detection for massive machine-type communications, intelligent reflecting surfaces (IRS) have shown significant potential in enhancing coverage for devices…