Forrest Huang

According to our database, Forrest Huang authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning.

Haotian Zhang, Mingfei Gao, Zhe Gan, Philipp Dufter, Nina Wenzel, Forrest Huang, Dhruti Shah, Xianzhi Du, Bowen Zhang, Yanghao Li, Sam Dodge, Keen You, Zhen Yang, Aleksei Timofeev, Mingze Xu, Hong-You Chen, Jean-Philippe Fauconnier, Zhengfeng Lai, Haoxuan You, Zirui Wang, Afshin Dehghan, Peter Grasch, Yinfei Yang

CoRR, 2024

CoLay: Controllable Layout Generation through Multi-conditional Latent Diffusion.

Chin-Yi Cheng, Ruiqi Gao, Forrest Huang, Yang Li

CoRR, 2024

Leveraging Human Revisions for Improving Text-to-Layout Models.

Amber Xie, Chin-Yi Cheng, Forrest Huang, Yang Li

CoRR, 2024

Automatic Macro Mining from Interaction Traces at Scale.

Forrest Huang, Gang Li, Tao Li, Yang Li

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Automatic Macro Mining from Interaction Traces at Scale.

Forrest Huang, Gang Li, Tao Li, Yang Li

CoRR, 2023

PLay: Parametrically Conditioned Layout Generation using Latent Diffusion.

Chin-Yi Cheng, Forrest Huang, Gang Li, Yang Li

Proceedings of the International Conference on Machine Learning, 2023

2022

Human-Guided Generation of Sketches and Prototypes

Forrest Huang

PhD thesis, 2022

Enabling multi-modal search for inspirational design stimuli using deep learning.

Elisa Kwon, Forrest Huang, Kosa Goucher-Lambert

Artif. Intell. Eng. Des. Anal. Manuf., 2022

2021

Sketch-based Creativity Support Tools using Deep Learning.

Forrest Huang, Eldon Schoop, David Ha, Jeffrey Nichols, John F. Canny

CoRR, 2021

Creating User Interface Mock-ups from High-Level Text Descriptions with Deep-Learning Models.

Forrest Huang, Gang Li, Xin Zhou, John F. Canny, Yang Li

CoRR, 2021

UMLAUT: Debugging Deep Learning Programs using Program Structure and Model Behavior.

Eldon Schoop, Forrest Huang, Bjoern Hartmann

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020

Scones: towards conversational authoring of sketches.

Forrest Huang, Eldon Schoop, David Ha, John F. Canny

Proceedings of the IUI '20: 25th International Conference on Intelligent User Interfaces, 2020

SCRAM: Simple Checks for Realtime Analysis of Model Training for Non-Expert ML Programmers.

Eldon Schoop, Forrest Huang, Björn Hartmann

Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

2019

GPU accelerated t-distributed stochastic neighbor embedding.

David M. Chan, Roshan Rao, Forrest Huang, John F. Canny

J. Parallel Distributed Comput., 2019

Sketchforme: Composing Sketched Scenes from Text Descriptions for Interactive Applications.

Forrest Huang, John F. Canny

Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology, 2019

Swire: Sketch-based User Interface Retrieval.

Forrest Huang, John F. Canny, Jeffrey Nichols

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018

T-SNE-CUDA: GPU-Accelerated T-SNE and its Applications to Modern Data.

David M. Chan, Roshan Rao, Forrest Huang, John F. Canny

Proceedings of the 30th International Symposium on Computer Architecture and High Performance Computing, 2018