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Multi-modal Machine Learning in Engineering Design: A Review and Future
  Directions
v1v2 (latest)

Multi-modal Machine Learning in Engineering Design: A Review and Future Directions

Journal of Computing and Information Science in Engineering (JCISE), 2023
14 February 2023
Binyang Song
Ruilin Zhou
Faez Ahmed
    AI4CE
ArXiv (abs)PDFHTMLGithub

Papers citing "Multi-modal Machine Learning in Engineering Design: A Review and Future Directions"

21 / 21 papers shown
PhysGen: Physically Grounded 3D Shape Generation for Industrial Design
PhysGen: Physically Grounded 3D Shape Generation for Industrial Design
Yingxuan You
Chen Zhao
Hantao Zhang
Mingda Xu
Pascal Fua
AI4CE
155
1
0
29 Nov 2025
Intelligent Design 4.0: Paradigm Evolution Toward the Agentic AI Era
Intelligent Design 4.0: Paradigm Evolution Toward the Agentic AI Era
Shuo Jiang
Min Xie
Frank Youhua Chen
Jian Ma
Jianxi Luo
AI4TSAI4CE
504
3
0
11 Jun 2025
DeepWheel: Generating a 3D Synthetic Wheel Dataset for Design and Performance Evaluation
DeepWheel: Generating a 3D Synthetic Wheel Dataset for Design and Performance Evaluation
Soyoung Yoo
Namwoo Kang
473
1
0
15 Apr 2025
Engineering Artificial Intelligence: Framework, Challenges, and Future Direction
Engineering Artificial Intelligence: Framework, Challenges, and Future Direction
Jay Lee
Hanqi Su
Dai-Yan Ji
Takanobu Minami
AI4CE
525
5
0
03 Apr 2025
RoboDesign1M: A Large-scale Dataset for Robot Design Understanding
RoboDesign1M: A Large-scale Dataset for Robot Design Understanding
T. H. Le
T. H. Nguyen
Quang-Dieu Tran
Quang Minh Nguyen
Baoru Huang
Hoan Nguyen
M. Vu
Tung D. Ta
A. Nguyen
3DV
362
1
0
09 Mar 2025
Unsupervised Multimodal Fusion of In-process Sensor Data for Advanced
  Manufacturing Process Monitoring
Unsupervised Multimodal Fusion of In-process Sensor Data for Advanced Manufacturing Process Monitoring
Matthew McKinney
Anthony Garland
Dale Cillessen
Jesse Adamczyk
D. Bolintineanu
Michael J. Heiden
Elliott Fowler
Brad L. Boyce
187
4
0
29 Oct 2024
A Survey on Integrated Sensing, Communication, and Computation
A Survey on Integrated Sensing, Communication, and ComputationIEEE Communications Surveys and Tutorials (COMST), 2024
Dingzhu Wen
Yong Zhou
Xiaoyang Li
Yuanming Shi
Kaibin Huang
Khaled B. Letaief
286
165
0
15 Aug 2024
CAD-Prompted Generative Models: A Pathway to Feasible and Novel
  Engineering Designs
CAD-Prompted Generative Models: A Pathway to Feasible and Novel Engineering Designs
Leah Chong
Jude Rayan
Steven Dow
Ioanna Lykourentzou
Faez Ahmed
DiffM
360
5
0
11 Jul 2024
DesignQA: A Multimodal Benchmark for Evaluating Large Language Models'
  Understanding of Engineering Documentation
DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Documentation
Anna C. Doris
Daniele Grandi
Ryan Tomich
Md Ferdous Alam
Hyunmin Cheong
Faez Ahmed
210
44
0
11 Apr 2024
Generative AI and Process Systems Engineering: The Next Frontier
Generative AI and Process Systems Engineering: The Next Frontier
Benjamin Decardi-Nelson
Abdulelah S. Alshehri
Akshay Ajagekar
Fengqi You
AI4CELLMAG
419
56
0
15 Feb 2024
BIKED++: A Multimodal Dataset of 1.4 Million Bicycle Image and
  Parametric CAD Designs
BIKED++: A Multimodal Dataset of 1.4 Million Bicycle Image and Parametric CAD Designs
Lyle Regenwetter
Yazan Abu Obaideh
Amin Heyrani Nobari
Faez Ahmed
233
5
0
07 Feb 2024
NITO: Neural Implicit Fields for Resolution-free Topology Optimization
NITO: Neural Implicit Fields for Resolution-free Topology Optimization
Amin Heyrani Nobari
Giorgio Giannone
Lyle Regenwetter
Faez Ahmed
AI4CE
385
9
0
07 Feb 2024
A Survey on Image-text Multimodal Models
A Survey on Image-text Multimodal Models
Ruifeng Guo
Jingxuan Wei
Linzhuang Sun
Khai-Nguyen Nguyen
Guiyong Chang
Dawei Liu
Sibo Zhang
Zhengbing Yao
Mingjun Xu
Liping Bu
VLM
415
25
0
23 Sep 2023
Opportunities for Large Language Models and Discourse in Engineering
  Design
Opportunities for Large Language Models and Discourse in Engineering DesignEnergy and AI (EA), 2023
Jan Göpfert
J. Weinand
Patrick Kuckertz
D. Stolten
AI4CE
239
18
0
15 Jun 2023
Aligning Optimization Trajectories with Diffusion Models for Constrained
  Design Generation
Aligning Optimization Trajectories with Diffusion Models for Constrained Design GenerationNeural Information Processing Systems (NeurIPS), 2023
Giorgio Giannone
Akash Srivastava
Ole Winther
Faez Ahmed
DiffMAI4CE
237
64
0
29 May 2023
Multi-modal Machine Learning for Vehicle Rating Predictions Using Image,
  Text, and Parametric Data
Multi-modal Machine Learning for Vehicle Rating Predictions Using Image, Text, and Parametric DataConference on Computability in Europe (CiE), 2023
Hanqi Su
Binyang Song
Faez Ahmed
330
10
0
24 May 2023
MCD: A Model-Agnostic Counterfactual Search Method For Multi-modal
  Design Modifications
MCD: A Model-Agnostic Counterfactual Search Method For Multi-modal Design Modifications
Lyle Regenwetter
Yazan Abu Obaideh
Faez Ahmed
350
7
0
18 May 2023
Toward Artificial Empathy for Human-Centered Design: A Framework
Toward Artificial Empathy for Human-Centered Design: A FrameworkDesign Automation Conference (DAC), 2023
Qihao Zhu
Jianxi Luo
259
37
0
19 Mar 2023
Diffusing the Optimal Topology: A Generative Optimization Approach
Diffusing the Optimal Topology: A Generative Optimization ApproachDesign Automation Conference (DAC), 2023
Giorgio Giannone
Faez Ahmed
DiffMAI4CE
203
16
0
17 Mar 2023
DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis
DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis
Ming Tao
Hao Tang
Leilei Gan
Xiaoyuan Jing
Bingkun Bao
Changsheng Xu
714
291
0
13 Aug 2020
On the Relationship between Self-Attention and Convolutional Layers
On the Relationship between Self-Attention and Convolutional LayersInternational Conference on Learning Representations (ICLR), 2019
Jean-Baptiste Cordonnier
Andreas Loukas
Martin Jaggi
812
625
0
08 Nov 2019
1
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