default author photo

Pengwei Guo

Stevens Institute of Technology

Hoboken, NJ 07030

United States

SCHOLARLY PAPERS

7

DOWNLOADS

451

TOTAL CITATIONS

3

Ideas:
“  CPT-Net: Region-wise Adaptable Crack Pattern Transfer via Decoupling Geometry and Surface Texture  ”

Scholarly Papers (7)

1.

Self-updateable AI predictor for compressive strength of ultra-high-performance concrete (UHPC) based on automatic information extraction

Number of pages: 33 Posted: 17 Nov 2022
Stevens Institute of Technology, Stevens Institute of Technology, Stevens Institute of Technology, Stevens Institute of Technology and Stevens Institute of Technology
Downloads 109 (645,052)

Abstract:

Loading...

artificial intelligence (AI); information extraction; computer vision; machine learning; property prediction; ultra-high-performance concrete (UHPC)

2.

Multi-Agent Collaboration for Knowledge-Guided Data-Driven Design of Ultra-High-Performance Concrete (Uhpc) Incorporating Solid Wastes

Number of pages: 32 Posted: 05 Feb 2025
Pengwei Guo, Zhan Jiang, Weina Meng and Yi Bao
Stevens Institute of Technology, Stevens Institute of Technology, Stevens Institute of Technology and Stevens Institute of Technology
Downloads 84 (783,685)

Abstract:

Loading...

physicochemical variation, solid waste valorization, ultra-high-performance concrete (UHPC), human-computer interaction, interpretable machine learning, knowledge based system

3.

Knowledge-Guided Data-Driven Design of Ultra-High-Performance Concrete (Uhpc) with Interpretability and Physicochemical Reaction Discovery Capabilities

Number of pages: 47 Posted: 20 Jan 2024
Pengwei Guo, Weina Meng and Yi Bao
Stevens Institute of Technology, Stevens Institute of Technology and Stevens Institute of Technology
Downloads 74 (844,901)
Citation 1

Abstract:

Loading...

explainable artificial intelligence (XAI), interpretable machine leaning, knowledge graph, physicochemical information, solid wastes, ultra-high-performance concrete (UHPC)

4.

Knowledge-Guided Data-Driven Design of Ultra-High-Performance Geopolymer (Uhpg)

Number of pages: 49 Posted: 23 Jan 2024
Pengwei Guo, Weina Meng and Yi Bao
Stevens Institute of Technology, Stevens Institute of Technology and Stevens Institute of Technology
Downloads 59 (970,490)

Abstract:

Loading...

explainable machine learning, interpretable AI, knowledge graph, multi-objective optimization, physicochemical information, ultra-high performance geopolymer (UHPG)

5.

Intelligent Characterization of Complex Cracks in Strain-Hardening Cementitious Composites Based on Generative Computer Vision

Number of pages: 36 Posted: 19 Jun 2023
Pengwei Guo, Weina Meng and Yi Bao
Stevens Institute of Technology, Stevens Institute of Technology and Stevens Institute of Technology
Downloads 52 (1,041,696)
Citation 2

Abstract:

Loading...

crack monitoring, dense microcrack, generative artificial intelligence (AI), generative adversarial network (HGAN), strain-hardening cementitious composites, vision transformer

6.

A review of knowledge-guided data-driven design for ultra-high-performance concrete incorporating varying wastes as alternative binders

Number of pages: 58 Posted: 28 Aug 2025 Last Revised: 13 Sep 2025
Stevens Institute of Technology, Stevens Institute of Technology, Stevens Institute of Technology, Stevens Institute of Technology, affiliation not provided to SSRN, Hunan University and Stevens Institute of Technology
Downloads 49 (1,133,231)

Abstract:

Loading...

alternative binder, data-driven design, knowledge-guided data-driven model, Machine learning, Sustainable construction, Waste Valorization

7.

ULiteCrackNet: An Ultra-Lightweight Crack Segmentation Model Balancing Accuracy and Efficiency with Stable Diffusion–Enhanced Transfer Learning

Number of pages: 36 Posted: 02 Dec 2025
Pengwei Guo, Le Teng, Weina Meng and Yi Bao
Stevens Institute of Technology, affiliation not provided to SSRN, Stevens Institute of Technology and Stevens Institute of Technology
Downloads 24 (1,459,862)

Abstract:

Loading...

Computer vision, Crack segmentation, crack pattern transfer, lightweight deep learning model, Stable Diffusion Inpainting, Transfer Learning