Kuang-Huei Lee

[Google Scholar] [LinkedIn] [GitHub]

kuanghul AT alumni.cmu.edu

Hello, and welcome to my website!

I am a research engineer at Google Brain. Before joining Google, I was a research engineer at Microsoft. Before that, I was at Carnegie Mellon University, UIUC, University of Tokyo, and National Taiwan University for various graduate and undergrad studies (in reverse-chronological order).

Publications

Predictive Information Accelerates Learning in RL.
Kuang-Huei Lee, Ian Fischer, Anthony Liu, Yijie Guo, Honglak Lee, John Canny, Sergio Guadarrama.
NeurIPS 2020. [paper] [code]

Towards Scalable Image Classifier Learning with Noisy Labels via Domain Adaptation.
Kuang-Huei Lee, Xiaodong He, Linjun Yang, Lei Zhang.
A book chapter in "Domain Adaptation in Computer Vision with Deep Learning". [link]

Learning Visual Relation Priors for Image-Text Matching and Image Captioning with Neural Scene Graph Generators.
Kuang-Huei Lee*, Hamid Palangi*, Xi Chen, Houdong Hu, Jianfeng Gao.
Tech report. (*: Equal contributions) [paper]

Stacked Cross Attention for Image-Text Matching.
Kuang-Huei Lee, Xi Chen, Gang Hua, Houdong Hu, Xiaodong He.
ECCV 2018. [project page] [paper] [code]

CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise.
Kuang-Huei Lee, Xiaodong He, Lei Zhang, Linjun Yang.
CVPR 2018. [project page] [paper] [code] [dataset]

Computational modeling of effects of intravascular stent design on key mechanical and hemodynamic behavior.
Hao-Ming Hsiao, Yi-Hsiang Chiu, Kuang-Huei Lee, Chien-Han Lin.
Computer-Aided Design 2012 [paper]

Cardiovascular stent design and wall shear stress distribution in coronary stented arteries.
Hao-Ming Hsiao, Kuang-Huei Lee, Ying-Chih Liao, Yu-Chen Cheng.
Micro & Nano Letters 2012. [paper]

Development of Computational Models for Evaluation of Mechanical and Hemodynamic Behavior of an Intravascular Stent.
Kuang-Huei Lee, Hao-Ming Hsiao, Ying-Chih Liao, Yi-Hsiang Chiu, Yu-Seng Tee.
ASME 6th Frontiers in Biomedical Devices Conference 2011. (oral) [paper]

Research Blog Articles

Using transfer learning to address label noise for large-scale image classification.
MSR Blog [link]

Artificial intelligence + human intelligence: Training data breakthrough.
Bing Engineering Blog [link]

Dataset

Food-101N: a dataset for learning to address label noise. [dataset]

Last Update: October 2020
Copyright 2020 Kuang-Huei Lee