About

I am Xinyi, a third-year master student in Computer Science and Technology (expected graduation in 2023 Summer), Xiamen University, very fortunately supervised by Dr. Yang Lu.

Research Interests

• Federated Learning with Imperfect Data
  • Heterogeneous Data
  • Long-tailed Data
  • Unlabeled Data

Information

• Email: shangxinyi@stu.xmu.edu.cn, xinyi.shangxy@outlook.com
• Github: https://github.com/shangxinyi/
• Google Scholar: https://scholar.google.com/

Recent News

• Sep 29 2022: I get the China National Scholarship.
• Apr 21 2022: One IJCAI paper “Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features” is accepted.
• Mar 6 2022: One ICME paper “FEDIC: Federated Learning on Non-IID and Long-Tailed Data via Calibrated Distillation” is accepted as oral paper.

Academic Service

• Invited Reviewers: TNNLS.
• Help for Review: NeurIPS2022, AAAI2023.