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).
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]
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]
Food-101N: a dataset for learning to address label noise. [dataset]
Last Update: October 2020
Copyright 2020 Kuang-Huei Lee