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Wei Xu

7 papers indexed

semantic_scholare-Journal of Nondestructive Testing2026-08-01

A Deep Learning Framework for Predicting Fluid-induced Vibration and Fatigue Life in Pipelines

Wang Xiao, Ruiqi Li, Minxin Xie, Wei Xu, W. Ostachowicz

The safe and reliable operation of natural gas compressor units is crucial for ensuring a secure and stable gas supply. However, the interaction between natural gas and pipelines inevitably induces flow-induced vibrations, leading to long-term cyclic stress variations in the pipe…

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crossrefSustainability2026-07-14

Can Digital Infrastructure Predict Regional Innovation Capacity? Evidence Based on Machine Learning and the SHAP Explanatory Framework

Shasha Xie, Shusheng Xu, Wei Xu, Guo Yu, Yunli Li, Jianqiu Wu, et al.

Digital infrastructure is a critical foundation for promoting regional innovation and achieving sustainable development. However, existing studies have primarily focused on its impact effects, while paying limited attention to whether digital infrastructure can effectively identi…

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arxivcs.CV2026-07-09

Wat3R: Underwater 3D Geometry Learning without Annotations

Jiangwei Ren, Xingyu Jiang, Zijie Song, Wei Xu, Hongkai Lin, Dingkang Liang, et al.

Estimating 3D geometry in underwater environments presents unique challenges due to light attenuation, scattering, and the absence of large-scale, high-quality 3D annotations. Pioneering methods rely on massive dense annotations that are impractical in underwater settings. In thi…

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arxivcs.ROcs.CV2026-07-08

EmbodiedGen V2: An Agentic, Simulation-Ready 3D World Engine for Embodied AI

Xinjie Wang, Liu Liu, Taojun Ding, Andrew Choi, Chaodong Huang, Mengao Zhao, et al.

We present EmbodiedGen V2, a generative 3D world engine for building executable policy-ready environments for embodied intelligence. Sim-ready 3D asset generation has advanced rapidly, yet assembling such assets into policy-ready task environments remains largely manual, limiting…

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arxiveess.SP2026-07-03

Sensing-Aided Channel Estimation for Near-Field MIMO ISAC Systems via Cross-Attention Transformer

Peihao Dong, Renbin Li, Shen Gao, Shuangshuang Li, Fuhui Zhou, Wei Xu, et al.

Near-field integrated sensing and communication (ISAC) can deliver the high spatial resolution and transmission capability with the shared spectrum and hardware. Due to the partial overlap between communication scatterers and radar targets, the sensing information can provide val…

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arxivcs.LG2026-07-02

Message Passing Based Two-Timescale Bayesian Learning for Joint Channel and Memory Hardware Impairments Tracking

Wei Xu, An Liu

Hardware impairments in massive multiple-input multiple-output (MIMO) receivers introduce inter-symbol memory and inter-element coupling, severely degrading channel estimation. This paper employs a residual recurrent gated unit (RGRU) to model the intra-slot memory of the hardwar…

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crossrefAdvanced Science2026-06-15

Physics‐Informed Machine Learning for Sustainable Alloy Design: Toward a Recyclable Unified Q&P Steel

Xiaolu Wei, Yong Li, Chenchong Wang, Lingyu Wang, Xiang Song, Keming Mao, et al.

ABSTRACT For sustainable alloy design, unified‐composition approaches offer an effective route to deliver multiple performance levels while reducing chemistry complexity. Quenching and partitioning (Q&P) steels are widely used advanced high‐strength steels, yet their grade de…

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