15 citations · 27 across the 5 of their papers we have counts for
5 papers
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently
Zicun Cong, Shi Baoxu, Shan Li +3
Fairness in Graph Convolutional Neural Networks (GCNs) becomes a more and more important concern as GCNs are adopted in many crucial applications. Societal biases against sensitive…
On Shapley Value in Data Assemblage Under Independent Utility
Xuan Luo, Jian Pei, Zicun Cong +1
In many applications, an organization may want to acquire data from many data owners. Data marketplaces allow data owners to produce data assemblage needed by data buyers through c…
Data Pricing in Machine Learning Pipelines
Zicun Cong, Xuan Luo, Pei Jian +2
Machine learning is disruptive. At the same time, machine learning can only succeed by collaboration among many parties in multiple steps naturally as pipelines in an eco-system, s…
Comprehensible Counterfactual Explanation on Kolmogorov-Smirnov Test
Zicun Cong, Lingyang Chu, Yu Yang +1
The Kolmogorov-Smirnov (KS) test is popularly used in many applications, such as anomaly detection, astronomy, database security and AI systems. One challenge remained untouched is…
Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution
Zicun Cong, Lingyang Chu, Lanjun Wang +2
More and more AI services are provided through APIs on cloud where predictive models are hidden behind APIs. To build trust with users and reduce potential application risk, it is…