About
I am Xinyi, a Ph.D. candidate at University College London (UCL), luckily supervised by Prof. Jing-Hao Xue. My research is mainly funded by CSC and UCL jointly. Before that, I received my master’s degree with honors in Computer Science from Xiamen University (XMU), fortunately supervised by Dr. Yang Lu. My main research interests lie in Collaborative Deep Learning and Generalized Deep Learning under imperfect environments.
Research Interests
- Collaborative deep learning
- Federated Learning
- Generalized Deep Learning
- Long-tailed Learning
- Out-of-distribution Generalization
- Underspecification Data
Information
- Email: xinyi.shangxy [at] gmail.com
- Github: https://github.com/shangxinyi/
- Google Scholar: https://scholar.google.com/
Recent News
- May 19 2023: Receive the Outstanding Master Thesis Award.
- Mar 28 2023: Receive the PhD offer from University College London (UCL) supported by UCL-CSC scholarship!
- Nov 23 2022: Start research intern at Westlake University, supervised by Prof. Tao Lin.
- Sep 29 2022: 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
- Reviewers: TNNLS, NeurIPS2022, AAAI2023.