Author

Nan Cheng

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Preprint Nov 2026

Behavioral Affinity Transduction for Zero-Shot Vision-Language Classification

An image that is hard to classify on its own may have a helpful neighbor in the same unlabeled batch. Zero-shot vision-language models (VLMs) score images independently and leave this evidence unused. We study small unlabeled query batches with no labeled examples. Visual similarity can reflect pose or background, so i...

Jun-Xi Huang, Wen-Shuo Chen, Xiu-Cheng Wang et al. · 0 citations

Preprint Oct 2026

RayAR: Autoregressive Dominant Path Generation for Low-Overhead MIMO Beam Alignment

Beam alignment in multiple-input multiple-output (MIMO) systems requires selecting suitable transmit and receive beam pairs with limited measurement overhead. Although 3GPP Release 18 investigates beam prediction from partial measurements, collecting these measurements still incurs probing overhead. Geometry can focus...

Jun Huang, Xiu-Cheng Wang, Nan Cheng et al. · 0 citations

Preprint Aug 2026

RMWorld: Task-Aware Radio World Models with Value-of-Information Guided Multi-Trial Learning for Multi-UAV Communication Control

Reliable multi-UAV communication control depends on predicting which aerial links will serve traffic before measurements are available. Radio world models (radio WMs) make such planning tractable, but their errors are nonuniform: a globally accurate model may still fail along high-demand corridors or association bounda...

Xiu-Cheng Wang, Nan Cheng, Jun Huan · 0 citations

Conference Aug 2026

Single-Base-Station NLoS Outdoor Localization via Sequential Radio-Map Matching

Accurate outdoor localization in Non-Line-of-Sight (NLoS) environments remains a critical challenge for wireless communication and sensing systems. Existing methods, including positioning based on the Global Navigation Satellite System (GNSS) and triple Base Stations (BSs) techniques, cannot provide reliable performanc...

Jia-Jie Xu, Yi-Fan Guo, Xiu-Cheng Wang et al. · 2026 IEEE/CIC International... · 0 citations

#machine learning Preprint Sep 2026

BeamRMX: Radiation-Pattern-Driven Learning for Generalizable Beam Radio Map Prediction and Beam Management

BeamRMX is proposed, which is the first dedicated framework to treat the spatial radiation pattern as the primary BeamRM query and learn how scene geometry transforms it into the received power field, and shows consistent gains over deterministic and diffusion baselines.

Yue Zhang, Xiu-Cheng Wang, Wen-Shuo Chen et al. · 0 citations

Jul 2026

RadioDiff-v2: Generative Angular Radio Maps for Multi-Beam Selection and Localization

RadioDiff-v2, a dual-branch one-dimensional diffusion transformer trained with flow matching, is proposed, a dual-branch one-dimensional diffusion transformer trained with flow matching that leads every baseline on every metric.

Xiucheng Wang, Jun Huang, Nan Cheng · arXiv.org · 0 citations

Preprint Aug 2026

RadioVIL: Anomaly-Aware Diffusion Models for Radio Map Inpainting and Zero-Shot Vehicle Localization

RadioVIL is proposed, an efficient two-stage framework that reformulates joint radio map inpainting and zero-shot vehicle localization as a prior-guided physical inverse problem and unlocks accurate zero-shot vehicle localization directly from sparse radio maps, paving a robust way for ISAC at the 6G edge.

Ruixin Zhao, Xiu-Cheng Wang, Qiming Zhang et al. · 0 citations