most citedNear-field Physical Layer Security: Robust Beamforming under Location Uncertainty

3 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SP2026

Generative Deep Learning for CSI Feedback in Massive MIMO via Channel Distribution Prediction

Liujia Yao, Changsheng You, Chao Zhou +2

Existing deep-learning-based channel state information (CSI) feedback methods reduce feedback overhead by compressing high-dimensional CSI into low-dimensional representations and/…

cs.NI2026

BeamVLM for Low-altitude Economy: Generative Beam Prediction via Vision-language Models

Chenran Kou, Changsheng You, Mingjiang Wu +3

For low-altitude economy (LAE), fast and accurate beam prediction between high-mobility unmanned aerial vehicles (UAVs) and ground base stations is of paramount importance, which e…

cs.IT2026

Low-complexity Design for Beam Coverage in Near-field and Far-field: A Fourier Transform Approach

Chao Zhou, Changsheng You, Cong Zhou +3

In this paper, we study efficient beam coverage design for multi-antenna systems in both far-field and near-field cases. To reduce the computational complexity of existing sampling…

eess.SP2026★ 3 cited

Near-field Physical Layer Security: Robust Beamforming under Location Uncertainty

Chao Zhou, Changsheng You, Cong Zhou +2

In this paper, we study robust beamforming design for near-field physical-layer-security (PLS) systems, where a base station (BS) equipped with an extremely large-scale array (XL-a…

eess.SP2025

Frequency-switching Array Enhanced Physical-Layer Security in Terahertz Bands: A Movable Antenna Perspective

Cong Zhou, Changsheng You, Chao Zhou +4

In this paper, we propose a new frequency-switching array (FSA) to enhance the physical-layer security (PLS) in the presence of multiple eavesdroppers (Eves), where the carrier fre…