profile_photo/home_barista.jpg

Gaoxiang Luo

(I go by Leon)
1st-year PhD Student
Department of Computer Science and Engineering
University of Minnesota, Twin Cities (UMN)

luo00042{at}umn[dot]edu

Keller Hall 6-210
200 Union St SE, Minneapolis, MN 55455

Hey there! I’m Gaoxiang Luo and I’m a 1st-year Ph.D. student at the University of Minnesota, Twin Cities, advised by Prof. Ju Sun. I’m broadly interested in generative models.

Previously: I received my M.S. in Computer and Information Science from University of Pennsylvania. I was a research intern at Cisco Research and I was a recipient of Google CSRMP.

News

Jul, 2024 Our application on LLM-empowered data extraction for educational systematic reviews and meta-analyses got accepted to OpenAI’s Researcher Access Program!
May, 2024 Our paper Enabling Visual Recognition at Radio Frequency will appear at MobiCom 2024!
May, 2024 I will be starting my Machine Learning Engineer Internship at Zscaler at San Jose office!
May, 2024 My wife and I release an open-access tool MetaMate to streamline the data extraction process for educational systematic reviews and meta-analyses!
Mar, 2024 Our paper An In-Depth Evaluation of Federated Learning on Biomedical Natural Language Processing for Information Extraction has been accepted to npj Digital Medicine!

Selected Publications

  1. PanoRadar.gif
    MobiCom’24
    Enabling Visual Recognition at Radio Frequency
    Haowen LaiGaoxiang LuoYifei Liu, and Mingmin Zhao
    In Proceedings of the 30th Annual International Conference on Mobile Computing and Networking , Washington D.C., DC, USA, 2024
  2. FedNLP.jpg
    npj Digital Medicine
    An in-depth evaluation of federated learning on biomedical natural language processing for information extraction
    Le PengGaoxiang LuoSicheng ZhouJiandong Chen , and 3 more authors
    npj Digital Medicine, May 2024
  3. TL.jpeg
    BMVC’23
    Rethinking Transfer Learning for Medical Image Classification
    Le PengHengyue LiangGaoxiang LuoTaihui Li , and 1 more author
    In Proceedings of the 34th British Machine Vision Conference, , Aberdeen, UK, May 2023
  4. FedCOVID.gif
    JAMIA
    Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals
    Le PengGaoxiang LuoAndrew Walker, Zachary Zaiman , and 13 more authors
    Journal of the American Medical Informatics Association, Oct 2022
  5. SAMCNet.jpeg
    KDD’22
    SAMCNet: Towards a Spatially Explainable AI Approach for Classifying MxIF Oncology Data
    Majid FarhadlooCarl MolnarGaoxiang LuoYan Li , and 5 more authors
    In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , Washington DC, USA, Oct 2022