Kuan Huang
Assistant Professor. Department of Computer Science and Technology. Kean University.
GLAB 238
1000 Morris Avenue
Union, NJ 07083
I am a tenure-track Assistant Professor at the Department of Computer Science and Technology at Kean University (Union, NJ). Before working at Kean, I was a post-doctoral research fellow at the Lester and Sue Smith Breast Center and the Department of Molecular and Human Genetics at Baylor College of Medicine (Houston, TX). I received my Ph.D. degree in Computer Science at Utah State University (Logan, UT) in 2021 and my B.Eng. in Electrical Engineering at Harbin Institute of Technology (Harbin, China) in 2016.
My research interests include artificial intelligence, computer vision, machine learning, and pattern recognition.
news
| Jul 17, 2023 | Our paper: CFAB: An Online Data Augmentation to Alleviate the Spuriousness of Classification on Medical Ultrasound Images has been accepted for publication at the 14th International Conference on Computer Vision Systems (ICVS23).  |
|---|---|
| Jun 26, 2023 | I received an external funding CAHSI-Google Institutional Research Program on Weakly Supervised Image Segmentation with Image Level Labels. This is a 1-year grant with $80,000 budget and $20,000 Google Cloud Platform (GCP) credits. |
| Apr 28, 2023 | I received an internal funding Students Partnering with Faculty (SpF) 2023 on Deep Learning-Based Breast Ultrasound Image Analysis. This is a single-PI, 1-year grant with $16,000 budget. |
| Feb 21, 2023 | Kean undergraduate students, Julio Rodriguez and Anya Carr, joined my research team sponsored by CAHSI Local Research Experiences for Undergraduates (LREU) Program. Welcome! |
| Jan 13, 2015 | Our paper: “A Regional-Attentive Multi-Task Learning Framework for Breast Ultrasound Image Segmentation and Classification” was published in IEEE Access. |
