Thiago Rios

25 papers B 3Journal 10Unranked 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Controlled Agentic Planning & Reasoning for Mechanism Synthesis.
CoRR
João Pedro Gandarela de Souza, Thiago Rios, Stefan Menzel, André Freitas
2025 J jnl
Evolutionary Computation as Natural Generative AI.
CoRR
Yaxin Shi, Abhishek Gupta, Ying Wu, Melvin Wong, Ivor W. Tsang, Thiago Rios, Stefan Menzel, Bernhard Sendhoff, Yaqing Hou, Yew-Soon Ong
2025 J jnl
From Idea to CAD: A Language Model-Driven Multi-Agent System for Collaborative Design.
CoRR
Felix Ocker, Stefan Menzel, Ahmed Sadik, Thiago Rios
2025 J jnl
LLM-to-Phy3D: Physically Conform Online 3D Object Generation with LLMs.
CoRR
Melvin Wong, Yueming Lyu, Thiago Rios, Stefan Menzel, Yew-Soon Ong
2025 J jnl
LLM2TEA: An Agentic AI Designer for Discovery With Generative Evolutionary Multitasking.
IEEE Comput. Intell. Mag.
Melvin Wong, Jiao Liu, Thiago Rios, Stefan Menzel, Yew-Soon Ong
2025 J jnl
Principles and Metrics for Curating Large Engineering Simulation Datasets for Machine Learning.
J. Comput. Inf. Sci. Eng.
Jami J. Shah, Satchit Ramnath, Stefan Menzel, Thiago Rios, Fatma Kocer, Eamon Whalen, Joseph Pajot, Alex Adrian, Prakash Kumar
2024 J jnl
Generative AI-based Prompt Evolution Engineering Design Optimization With Vision-Language Model.
CoRR
Melvin Wong, Thiago Rios, Stefan Menzel, Yew Soon Ong
2024 J jnl
LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking.
CoRR
Melvin Wong, Jiao Liu, Thiago Rios, Stefan Menzel, Yew Soon Ong
2024 — conf
Large Language Model-assisted Clustering and Concept Identification of Engineering Design Data.
CAI
Felix Lanfermann, Thiago Rios, Stefan Menzel
2024 — conf
Large Language Model-assisted Surrogate Modelling for Engineering Optimization.
CAI
Thiago Rios, Felix Lanfermann, Stefan Menzel
2024 B conf
Prompt Evolutionary Design Optimization with Generative Shape and Vision-Language models.
CEC
Melvin Wong, Thiago Rios, Stefan Menzel, Yew Soon Ong
2024 — conf
Towards End-to-End Prompt-Vision-Physics Neural Network for Fast Design Discovery.
CAI
Qingshan Xu, Jiao Liu, Melvin Wong, Ge Jin, Ryan Lau, Yew-Soon Ong, Stefan Menzel, Thiago Rios, Joo-Hwee Lim, Chin Chun Ooi
2023 — conf
Large Language and Text-to-3D Models for Engineering Design Optimization.
SSCI
Thiago Rios, Stefan Menzel, Bernhard Sendhoff
2023 J jnl
Large Language and Text-to-3D Models for Engineering Design Optimization.
CoRR
Thiago Rios, Stefan Menzel, Bernhard Sendhoff
2022 J jnl
Multitask Shape Optimization Using a 3-D Point Cloud Autoencoder as Unified Representation.
IEEE Trans. Evol. Comput.
Thiago Rios, Bas van Stein, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel
2021 — conf
Exploiting Generative Models for Performance Predictions of 3D Car Designs.
SSCI
Sneha Saha, Thiago Rios, Leandro L. Minku, Bas van Stein, Patricia Wollstadt, Xin Yao, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel
2021 B conf
Exploiting Local Geometric Features in Vehicle Design Optimization with 3D Point Cloud Autoencoders.
CEC
Thiago Rios, Bas van Stein, Patricia Wollstadt, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel
2021 — conf
Point2FFD: Learning Shape Representations of Simulation-Ready 3D Models for Engineering Design Optimization.
3DV
Thiago Rios, Bas van Stein, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel
2020 — conf
Back To Meshes: Optimal Simulation-ready Mesh Prototypes For Autoencoder-based 3D Car Point Clouds.
SSCI
Thiago Rios, Jiawen Kong, Bas van Stein, Thomas Bäck, Patricia Wollstadt, Bernhard Sendhoff, Stefan Menzel
2020 B conf
Feature Visualization for 3D Point Cloud Autoencoders.
IJCNN
Thiago Rios, Bas van Stein, Stefan Menzel, Thomas Bäck, Bernhard Sendhoff, Patricia Wollstadt
2020 — conf
On the Performance of Oversampling Techniques for Class Imbalance Problems.
PAKDD (2)
Jiawen Kong, Thiago Rios, Wojtek Kowalczyk, Stefan Menzel, Thomas Bäck
2019 — conf
Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks.
ICDM Workshops
Sneha Saha, Thiago Rios, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck, Xin Yao, Zhao Xu, Patricia Wollstadt
2019 — conf
On the Efficiency of a Point Cloud Autoencoder as a Geometric Representation for Shape Optimization.
SSCI
Thiago Rios, Bernhard Sendhoff, Stefan Menzel, Thomas Bäck, Bas van Stein
2019 — conf
Optimal Evolutionary Optimization Hyper-parameters to Mimic Human User Behavior.
SSCI
Sneha Saha, Thiago Rios, Leandro L. Minku, Xin Yao, Zhao Xu, Bernhard Sendhoff, Stefan Menzel
2019 — conf
Scalability of Learning Tasks on 3D CAE Models Using Point Cloud Autoencoders.
SSCI
Thiago Rios, Patricia Wollstadt, Bas van Stein, Thomas Bäck, Zhao Xu, Bernhard Sendhoff, Stefan Menzel