The following three papers have been accepted by the 2024 IEEE International Conference on Big Data which will be held in Washington DC during Dec 15-18. This year the research track of the conference received 660 submissions and accepted 124 regular papers and 130 short papers.
- BigD330, Alycia Carey, Karuna Bhaila, Kennedy Edemacu, and Xintao Wu. “DP-TabICL: In-Context Learning with Differentially Private Tabular Data”.
- BigD496, Huy Mai and Xintao Wu. “Federated Learning under Sample Selection Heterogeneity”.
- BigD507, Prateek Verma, Minh-Hao Van, and Xintao Wu. “Beyond Human Vision: The Role of Large Vision Language Models in Microscope Image Analysis”.
We also have one short paper in the Industry and Government track and one tutorial.
- Qixin Wang, Xintao Wu, Kan Yao, and Han Li. ” A Content-Aware Deep Learning Recommendation System”. (Industry and Government track)
- Chen Zhao and Xintao Wu. “Supervised Algorithmic Fairness in Distribution Shifts”. (tutorial).
Congratulations to all SAIL members for publishing their research work!
Recent Comments