Mingon KANG, Ph.D

Home Research Lab Research Biosketch Publications Teaching Advising Links

Dr. Kang is an assistant professor in the Department of Computer Science at The University of Nevada, Las Vegas since Fall 2019. Prior to UNLV, he was at Kennesaw State University and Texas A&M University-Commerce. His research interests include Bioinformatics, Machine Learning, Data Mining, Computer Vision, and Big Data Analytics. He received his M.S. and Ph.D. degree in the Department of Computer Science at the University of Texas at Arlington in 2010 and 2015 respectively.

Office: SEB-3214, 4505 S. Maryland Pkwy. Las Vegas, NV 89154-4022
Email: mingon.kang@unlv.edu
Tel: 702-895-4884

"Not only so, but we also rejoice in our sufferings, because we know that suffering produces perseverance; perseverance, character; and character, hope. And hope does not disappoint us, because God has poured out his love into our hearts by the Holy Spirit, whom he has given us."

DataX Lab: DataXlab.org

BIBM Workshops: Deep Learning in Bioinformatics , Biological Network Analysis

Recent News

  • Sep. 16, 2019

    "PAGE-Net: Interpretable and Integrative Deep Learning for Survival Analysis Using Histopathological Images and Genomic Data" is accepted in PSB 2020, and invited for an oral presentation. See you in Hawaii at Janaury 3-7, 2020.

  • July 1, 2019

    I moved to the University of Nevada, Las Vegas as an Assistant Professor in the Department of Computer Science.

  • June 16, 2019

    A paper, titled "Pathway-based Deep Clustering for Molecular Subtyping of Cancer", is accepted in Methods (IF: 3.99, h-index: 129)

  • May 21, 2019

    A paper, titled "DoT-Net: Document Layout Classification Using Texture-based CNN", is accepted in ICDAR

  • March 20, 2019

    Hi-LASSO is accepted in IEEE Access

  • Feb 2, 2019

    Invited to an organizing member (workshop co-chair) in IEEE BIBM

  • Click here to see more news!

Upcoming Proposals

Upcoming Conferences

Bioinformatics: ISMB (Jan), PSB (Aug), RECOMB (Oct), BIBM (Jul), BCB (May), APBC (Jul), GIW (Jun), ISBRA (Feb)
Machine Learning: ICML (Feb), ICDM(Jun), KDD (Feb), NIPS (Apr), ICDE (Aug), SDM (Oct), IJCAI (Jan), AAAI (Jan) ICLR (Sep)
  • RECOMB, Padova, Italy, (11-01-2019, D-43)
  • ICLR, Ethiopia, (09-25-2019, D-6)
  • IEEE BigData, LA, CA (08-19-2019)
  • IEEE BIBM, San Diego, CA (08-17-2019)
  • PSB, Hawaii (08-05-2019)
  • IEEE ICMLA, Boca Raton, FL (07-05-2019)
  • ACM BCB, Niagra Falls, NY (05-15-2019, 05-27-2019)
  • MICCAI, Shenzhen, China (Intention-to-submit by 03-19-2019, then 04-02-2019)
  • ICDAR, Syndey, (2-15-2019, 3-8-2019)