38 citations · 49 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 8 cited
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…
cs.IR2020★ 38 cited
Deep Job Understanding at LinkedIn
Shan Li, Baoxu Shi, Jaewon Yang +4
As the world's largest professional network, LinkedIn wants to create economic opportunity for everyone in the global workforce. One of its most critical missions is matching jobs…
cs.IR2020★ 3 cited
Learning to Ask Screening Questions for Job Postings
Baoxu Shi, Shan Li, Jaewon Yang +2
At LinkedIn, we want to create economic opportunity for everyone in the global workforce. A critical aspect of this goal is matching jobs with qualified applicants. To improve hiri…