Search Results - "Lu, Rongwei"
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1
Cascade Clutter Suppression Method for Airborne Frequency Diversity Array Radar Based on Elevation Oblique Subspace Projection and Azimuth-Doppler Space-Time Adaptive Processing
Published in Remote sensing (Basel, Switzerland) (01-09-2024)“…Airborne Frequency Diversity Array (FDA) radar operating at a high pulse repetition frequency encounters severe range-ambiguous clutter. The slight frequency…”
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2
Transport properties of moisture and ionic chelators in concrete
Published in Frontiers in materials (11-04-2023)“…The transport properties of moisture and ionic chelators in the concrete affect not only the durability of the concrete, but also the effectiveness of the…”
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3
Experimental investigation on shear performance of fiber-reinforced high-strength concrete dry joints
Published in Engineering structures (15-11-2020)“…•A direct shear test of dry FHSC joints was carried out to investigate their behaviors.•The existing formulas for calculating the shear capacity of dry RC…”
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Effect of crystalline admixtures on mechanical, self-healing and transport properties of engineered cementitious composite
Published in Cement & concrete composites (01-11-2021)“…This paper focuses on the effect of chelating crystalline admixtures (CA) on mechanical, self-healing and transport properties of engineered cementitious…”
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Effect of cementitious capillary crystalline waterproof material on the various transport properties of cracked cementitious composites
Published in Construction & building materials (15-02-2023)“…•The decrease rate of transport property of cracked specimens is enhanced by CCCW.•CCCW helps lower the transport property of cracked specimens to the…”
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Coupling effect of cementitious capillary crystalline waterproof material and exposure environments on self-healing properties of engineered cementitious composites (ECC)
Published in Journal of Building Engineering (01-01-2023)“…Due to the healing mechanism of self-healing technologies, there are some limitations and challenges for application in concrete structures. Based on the…”
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7
DAGC: Data-Aware Adaptive Gradient Compression
Published in IEEE INFOCOM 2023 - IEEE Conference on Computer Communications (17-05-2023)“…Gradient compression algorithms are widely used to alleviate the communication bottleneck in distributed ML. However, existing gradient compression algorithms…”
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Conference Proceeding -
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Shear Behavior of Epoxy Resin Joints in Precast Concrete Segmental Bridges
Published in Journal of bridge engineering (01-04-2019)“…AbstractEpoxy resin joints for precast concrete segmental bridges protect internal posttensioned tendons from corrosion, compensate for irregularities between…”
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Attribute-Controlled SAR Target Image Generation Driven by Diffusion Models
Published in 2024 5th International Conference on Electronic Communication and Artificial Intelligence (ICECAI) (31-05-2024)“…Sufficient Synthetic Aperture Radar (SAR) target images are of great importance for the advancement of SAR systems. However, the necessity for professional…”
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Conference Proceeding -
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MesonGS: Post-training Compression of 3D Gaussians via Efficient Attribute Transformation
Published 15-09-2024“…3D Gaussian Splatting demonstrates excellent quality and speed in novel view synthesis. Nevertheless, the huge file size of the 3D Gaussians presents…”
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11
A Joint Approach to Local Updating and Gradient Compression for Efficient Asynchronous Federated Learning
Published 06-07-2024“…Asynchronous Federated Learning (AFL) confronts inherent challenges arising from the heterogeneity of devices (e.g., their computation capacities) and…”
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Retraining-free Model Quantization via One-Shot Weight-Coupling Learning
Published in 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (16-06-2024)“…Quantization is of significance for compressing the over-parameterized deep neural models and deploying them on resource-limited devices. Fixed-precision…”
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Conference Proceeding -
13
Retraining-free Model Quantization via One-Shot Weight-Coupling Learning
Published 03-01-2024“…Quantization is of significance for compressing the over-parameterized deep neural models and deploying them on resource-limited devices. Fixed-precision…”
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14
Data-Aware Gradient Compression for DML in Communication-Constrained Mobile Computing
Published 13-11-2023“…Distributed machine learning (DML) in mobile environments faces significant communication bottlenecks. Gradient compression has proven as an effective solution…”
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