Fengbei Liu

Postdoctoral Researcher at Cornell Tech, Cornell University

Deep learning, Computer vision, Medical image analysis

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About

I am a Postdoctoral Researcher at Cornell Tech, Cornell University, working with Prof. Mert R. Sabuncu. I obtained my Ph.D. from the Australian Institute for Machine Learning at the University of Adelaide, advised by Prof. Gustavo Carneiro and Prof. Mark Jenkinson.

My research lies at the intersection of computer vision and medical image analysis. I develop weakly supervised and label-efficient deep learning methods, with a current focus on medical radiology and cardiovascular imaging.

Recent publications

  1. 2026
    MedCure: Medical Data Curation for Efficient Vision-Language PretrainingChong Wang, Fengbei Liu, Yuyuan Liu, Yuanhong Chen, Yu Tian, Leyuan FangIEEE Transactions on Image Processing (TIP)
  2. 2026
    Bridging Generative and Discriminative Noisy-Label Learning via Direction-Agnostic EM FormulationFengbei Liu, Chong Wang, Yuanhong Chen, Yuyuan Liu, Gustavo CarneiroIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  3. 2026
    MAdam: Metric-Aware Multi-Objective AdamFengbei Liu, Rachit Saluja, Sunwoo Kwak, Ruibo Wang, Ruining Deng, Heejong Kim, Johannes C. Paetzold, Mert R. SabuncuNeurIPS 2026
  4. 2026
    HyperCT: Low-Rank Hypernet for Unified Chest CT AnalysisFengbei Liu, Sunwoo Kwak, Hao Phung, Nusrat Binta Nizam, Ilan Richter, Nir Uriel, Hadar Averbuch-Elor, Deborah Estrin, Mert R. SabuncuMIDL 2026
  5. 2026
    RNED: Rotary Number Encoding and Decoding for Medical VLMsFengbei Liu, Sunwoo Kwak, Nusrat Binta Nizam, Ilan Richter, Ashley Beecy, Jayant K Raikhelkar, Deborah Estrin, Mert R. SabuncuCVPR 2026, 13722-13731
  6. 2026
    Cardio amyloid-artificial intelligence: advanced multi-modal screening for transthyretin cardiac amyloidosis in severe aortic stenosis patientsNusrat Binta Nizam, Ashley N Beecy, Jacob W Groenendyk, Fengbei Liu, et al.European Heart Journal - Digital Health (EHJ-DH) 7 (6), ztag064
  7. 2026
    From Failure to Feedback: Group Revision Unlocks Hard Cases in Object-Level GroundingYuyuan Liu, Yijing Ji, Anjie Le, Jiayuan Zhu, Jiazhen Pan, Can Peng, Jiajun Deng, Fengbei Liu, Junde WuCVPR 2026

For the complete and current publication list, see Google Scholar.

Experience

2024–present
Postdoctoral Researcher, Cornell Tech, Cornell University
2020–2023
Ph.D. in Computer Vision and Medical Imaging, University of Adelaide
2019–2020
Honours in Computer Science (First Class), University of Adelaide
2015–2018
Bachelor in Computer Science, University of Adelaide

Academic service

Conferences
CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, BMVC, MICCAI
Journals
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)