Publications
You can also find my articles on my Google Scholar profile
# indicates equal contributions, * indicates corresponding author.
2023
[ICML’23] Revisiting Weighted Aggregation in Federated Learning with Neural Networks
Zexi Li, Tao Lin, Xinyi Shang, and Chao Wu. 2023.
International Conference on Machine Learning, Honolulu, Hawai’i, July 23-29, 2023.
[arXiv][ICCV’23] No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier
Zexi Li, Xinyi Shang, Rui He, Tao Lin, Chao Wu. 2023.
International Conference on Computer Vision, Paris, France, October 2-6, 2023.
[arXiv][Preprint] Federated Semi-Supervised Learning with Annotation Heterogeneity
Xinyi Shang#, Gang Huang#, Yang Lu*, Jian Lou, Bo Han, Yiu-ming Cheung, and Hanzi Wang. 2023.
[arXiv]
2022
[IJCAI’22] Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features
Xinyi Shang, Yang Lu*, Gang Huang, and Hanzi Wang
International Joint Conference on Artificial Intelligence, pp.2218-2224, Vienna, Austria, July 23-29, 2022.
[arXiv][code][ICME’22 (Oral)] FEDIC: Federated Learning on Non-IID and Long-Tailed Data via Calibrated Distillation
Xinyi Shang, Yang Lu*, Yiu-ming Cheung, and Hanzi Wang
IEEE International Conference on Multimedia and Expo, pp.1-6, Taipei, Taiwan, July 18-22, 2022.
[arXiv][code]