no code implementations • 2 Dec 2020 • Yao Wu, Jian Cao, Guandong Xu
In this paper, we propose a novel metric Top-N Fairness to measure the individual fairness of multi-round recommendations of services with capacity constraints.
no code implementations • 19 Apr 2021 • Yao Wu, Jian Cao, Guandong Xu, Yudong Tan
In this paper, we consider recommendation scenarios from the perspective of two sides (customers and providers).
no code implementations • 13 Sep 2023 • Zhenxi Zhang, Yanyang Wang, Yao Wu, Weifei Wu
However, the vertebral visualization features often lead to abnormal topological structures during keypoint localization, including keypoint distortion with edges and weakly connected structures, which cannot be fully suppressed in either the coordinate or image domain alone.
no code implementations • 21 Dec 2023 • Jie Han, Yixiong Zou, Haozhao Wang, Jun Wang, Wei Liu, Yao Wu, Tao Zhang, Ruixuan Li
Therefore, current works first train a model on source domains with sufficiently labeled data, and then transfer the model to target domains where only rarely labeled data is available.