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Jinmo Rhee
Jinmo Rhee
Ph.D. student in Computational Design, Carnegie Mellon University
Verified email at jinmorhee.net - Homepage
Title
Cited by
Cited by
Year
Context-Rich Urban Analysis Using Machine Learning: A Case Study in Pittsburgh, PA
J Rhee
Carnegie Mellon University, 2020
142020
Multi-agent space planning: a literature review (2008–2017)
P Veloso, J Rhee, R Krishnamurti
Hello, Culture, 52-74, 2019
92019
Generative design of urban fabrics using deep learning
J Rhee, P Veloso
In PROJECTIONS, The 26th International Conference of the Association for …, 2018
72018
Integrating building footprint prediction and building massing-an experiment in Pittsburgh
J Rhee, P Veloso, R Krishnamurti
Proceedings of the 25th CAADRIA Conference 2, 669-678, 2020
62020
Type investigation in the form of high-rise building using deep neural network
J Rhee, P Veloso
International Conference on Computer-Aided Architectural Design Futures, 175-189, 2021
42021
Three decades of machine learning with neural networks in computer-aided architectural design (1990–2021)
J Rhee, P Veloso, R Krishnamurti
Design Science 9, e25, 2023
32023
Multi-agent space planning
P Veloso, J Rhee, R Krishnamurti
International Conference on Computer Aided Architectural Design Futures 18, 24, 2008
32008
Feature space exploration as an alternative for design space exploration beyond the parametric space
TC Pedroso, J Rhee, D Byrne
arXiv preprint arXiv:2301.11416, 2023
22023
Context-rich Urban Analysis Using Machine Learning
J Rhee, DC Llach, R Krishnamurti
CITY INFORMATION MODELLING AND GIS 3, 353-352, 2019
22019
An inductive method for classifying building form in a city with implications for orientation
J Rhee, R Krishnamurti
Environment and Planning B: Urban Analytics and City Science, 23998083231224505, 2023
12023
Form data as a resource in architectural analysis: an architectural distant reading of wooden churches from the Carpathian Mountain regions of Eastern Europe
M Hasey, J Rhee, D Cardoso Llach
Digital Creativity 34 (2), 103-126, 2023
12023
Latent Space to Support Virtual 3D Models
J Rhee, R Krishnamurti
Cultural Space on Metaverse, 41-52, 2023
2023
Cost-Effective 3D Urban Massing Reconstruction of Public Aerial LiDAR Scans
J Rhee, B Williams
International Conference on Computer-Aided Architectural Design Futures, 207-218, 2023
2023
A Physics-Based Constraint Solver for the Site Layout Optimization of Non-convex Buildings with Multiple Requirements
J Rhee, P Veloso
International Conference on Computer-Aided Architectural Design Futures, 594-606, 2023
2023
Feature space exploration as an alternative for design space exploration beyond the parametric space
T Cabezon Pedroso, J Rhee, D Byrne
arXiv e-prints, arXiv: 2301.11416, 2023
2023
Design Laboratory, CRAIDL, Carnegie Mellon University {jinmor| pveloso}@ andrew. cmu. edu
J RHEE, P VELOSO
BUILDING MASSING
J RHEE, P VELOSO, R KRISHNAMURTI
A pedagogical experience with deep learning for floor plan generation
P VELOSO, J RHEE, A BIDGOLI, ML DE GUEVARA
Experimental CAD by Replacing Command Prompt Bar and Coordinates Input System with Voice and Gaze
J Rhee
Reconstruction of Shape Grammar Interpreter
J Rhee
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Articles 1–20