Zhe Huang - Machine Learning Research

External links: [google scholar] • [linkedin] • [Tufts Medical Echocardiogram Project]

News

• [Mar 2024] Paper accepted at CVPR'24

  • Paper: Systematic comparison of semi-supervised and self-supervised learning for medical image classification
    Zhe Huang, Ruijie Jiang, Shuchin Aeron, Michael C. Hughes

• [Jan 2024] Clinical Abstract accepted at ACC'24 (American College of Cardiology)

  • Paper: Validation of System for Automated Screening for Aortic Stenosis
    Samuel Karmiy, Zhe Huang, Eileen Mai, Monica Dehn, Davinder Ramsingh, John Martin, Ayan R. Patel, Michael Hughes, Benjamin S. Wessler

• [Aug 2023] Paper accepted at MLHC'23

  • Paper: Detecting Heart Disease from Multi-View Ultrasound Images via Supervised Attention Multiple Instance Learning
    Zhe Huang, Benjamin S. Wessler, Michael C. Hughes

• [Apr 2023] Outstanding Academic Scholarship Award

  • Bestowed by Tufts University School of Engineering, 1 Ph.D. student per year.

• [Apr 2023] Paper selected for oral presentation at AISTATS'23 (top 2% of 1500 reviewed papers)

  • Paper: Fix-A-Step: Effective Semi-supervised Learning from Uncurated Data
    Zhe Huang, Mary-Joy Sidhom, Benjamin S. Wessler, Michael C. Hughes

• [Jan 2023] Clinical journal publication on automated diagnosis of heart valve disease (Journal of the American Society of Echocardiography)

  • Paper: Automated Detection of Aortic Stenosis Using Machine Learning
    Benjamin S. Wessler, Zhe Huang, Gary Long, Stefano Pacifici, Nishant Prashar, Samuel Karmiy, Roman A Sandler, Joseph Z Sokol, Daniel B Sokol, Monica M Dehn, Luisa Maslon, Eileen Mai, Ayan R Patel, Michael C. Hughes
  • Dr. Benjamin S. Wessler led the clinical aspect of the research.

• [Dec 2021] Paper accepted at NeurIPS'21 (Dataset&Benchmark)

  • Paper: The Tufts fNIRS Mental Workload Dataset & Benchmark for Brain-Computer Interfaces that Generalize
    Zhe Huang, Leon Wang, Giles Blaney, Christopher Slaughter, Devon McKeon, Ziyu Zhou, Robert J. K. Jacob1,*, and Michael C. Hughes1
  • Featured in an article on Tufts Now (Feb '22)

• [Nov 2021] Journal publication on reducing false-positive biopsies in mammogram using deep neural networks (Journal of Digital Imaging)

  • Paper: Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms
    Nan Wu, Zhe Huang, Yiqiu Shen, Jungkyu Park, Jason Phang, Taro Makino, S. Gene Kim, Kyunghyun Cho, Laura Heacock, Linda Moy, Krzysztof J. Geras

• [Aug 2021] Paper accepted at MLHC'21

  • Paper: A New Semi-supervised Learning Benchmark for Classifying View and Diagnosing Aortic Stenosis from Echocardiograms
    Zhe Huang, Gary Long, Benjamin S. Wessler, Michael C. Hughes

• [Nov 2021] Journal publication on breast cancer screening using deep neural networks (IEEE Trans Med Imaging)

  • Paper: Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
    Nan Wu, Jason Phang, Jungkyu Park, Yiqiu Shen, Zhe Huang, Masha Zorin, Stanislaw Jastrzebski, Thibault Fevry, Joe Katsnelson, Eric Kim, Stacey Wolfson, Ujas Parikh, Sushma Gaddam, Leng Leng Young Lin, Kara Ho, Joshua D Weinstein, Beatriu Reig, Yiming Gao, Hildegard Toth, Kristine Pysarenko, Alana Lewin, Jiyon Lee, Krystal Airola, Eralda Mema, Stephanie Chung, Esther Hwang, Naziya Samreen, S Gene Kim, Laura Heacock, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras

• [May 2019] NYU Center for Data Science Best Capstone Award

Services

Conference reviewer: NeurIPS, ICLR, ICML, AISTATS, MICCAI, ACM CHIL