Scholar
Qi Qi
Google Scholar ID: e29oR3cAAAAJ
META GENAI
Citations & Impact
Citations
722
H-index
10
i10-index
10
Publications
20
Co-authors
7
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published multiple papers in top conferences and journals such as EMNLP 2025, MICCAI 2025, ACL 2024, NeurIPS 2021 (250+ Github Stars), ECCV 2020, TMLR 2023. Developed the ABSGD package and achieved 1st place in ResNet50 (rank 4th out of 16) in the iWildCam multi-class species classification competition. Contributed to the LibAUC library.
Research Experience
- Apple, Machine Learning Intern, June - September 2023, Project: Knowledge distillation for next-generation display content object detection; Netflix, Computer Vision Intern, June - August 2021/2022, Project: Improving identity robustness for face models.
Education
- Ph.D.: University of Iowa, Computer Science, supervised by Prof. Tianbao Yang; M.S.: University of Science and Technology of China, supervised by Prof. Thomas Weise; B.S.: Qingdao University of Technology.
Background
- Research Scientist focusing on post-training. Received a Ph.D. in the Department of Computer Science from the machine learning and optimization group at the University of Iowa. Research interests include imbalanced classification, deep learning, etc.
Miscellany
- Personal interests not mentioned.
