no code implementations • 28 May 2012 • Jaewon Yang, Jure Leskovec
Identifying such communities of nodes has proven to be a challenging task mainly due to a plethora of definitions of a community, intractability of algorithms, issues with evaluation and the lack of a reliable gold-standard ground-truth.
Social and Information Networks Physics and Society
no code implementations • 17 Dec 2017 • Kuang Gong, Jaewon Yang, Kyungsang Kim, Georges El Fakhri, Youngho Seo, Quanzheng Li
With only Dixon MR images as the network input, the existing U-net structure was adopted and analysis using forty patient data sets shows it is superior than other Dixon based methods.
no code implementations • 28 Nov 2018 • Jaewon Yang, Dookun Park, Jae Ho Sohn, Zhen Jane Wang, Grant T. Gullberg, Youngho Seo
Deep convolutional neural networks (DCNN) have demonstrated its capability to convert MR image to pseudo CT for PET attenuation correction in PET/MRI.
no code implementations • 30 Apr 2020 • Baoxu Shi, Shan Li, Jaewon Yang, Mustafa Emre Kazdagli, Qi He
A critical aspect of this goal is matching jobs with qualified applicants.
no code implementations • 27 May 2020 • Baoxu Shi, Jaewon Yang, Feng Guo, Qi He
Based on the above promising results, we deployed the \model ~online to extract job targeting skills for all $20$M job postings served at LinkedIn.
no code implementations • 16 Dec 2023 • Jingying Zeng, Jaewon Yang, Waleed Malik, Xiao Yan, Richard Huang, Qi He
Second, there is a concern with the quality of the content generative AI produces, which often lacks the distinctiveness and authenticity that human-created content possesses.
no code implementations • 4 Jan 2024 • Jingying Zeng, Richard Huang, Waleed Malik, Langxuan Yin, Bojan Babic, Danny Shacham, Xiao Yan, Jaewon Yang, Qi He
First is knowledge tasks where users want to find new knowledge and information, such as search and question-answering.
no code implementations • 26 Jan 2024 • Zicun Cong, Shi Baoxu, Shan Li, Jaewon Yang, Qi He, Jian Pei
To address the bias in node features and model parameters, FairSample is complemented by a regularization objective to optimize fairness.