Jaewon YangSenior Staff Software Engineer700 E Middlefield Rd Mountain View, CA 94043 jeyang [at] linkedin [dot] com | |
![]() |
Hi! I am a Senior Staff Software Engineer at LinkedIn. I am the tech lead of the Standardization team and in charge of building Machine Learning models to construct and refine the LinkedIn knowledge graph based on member profiles, company pages and job postings. I am interested in developing Machine Learning models that can extract insights from large scale graphs and text corpus, such as Graph Neural Networks, Pretrained NLP models and so on. Prior to LinkedIn, I obtained my Ph.D degree at Stanford Infolab under the supervision of Jure Leskovec. I also obtained a Master's degree in Statistics from Stanford University and a Bachelor's degree in Electrical Engineering from Seoul National University.
PublicationsSocial Skill Validation at LinkedIn by X. Yan, J. Yang, M. Obukhov, L. Zhu, J. Bai, S. Wu and Q. He, SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2019. Nemo: Next Career Move Prediction with Contextual Embedding by L. Li, H. Jing, H. Tong, J. Yang, Q. He and BC. Chen, ACM International Conference on World Wide Web (WWW), 2017. Personalizing Linkedin Feed by D. Agarwal, BC. Chen, Q. He, Z. Hua, G. Lebanon, Y. Ma, P. Shivaswamy, HP. Tseng, J. Yang and L. Zhang, SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2015. Overlapping Communities Explain Core–periphery Organization of Networks by J. Yang and J. Leskovec, Proceedings of the IEEE, 2014. Finding Progression Stages in Time-evolving Event Sequences by J. Yang, J. McAuley, J. Leskovec, P. LePendu, and N. Shah, ACM International Conference on World Wide Web (WWW), 2014. [Code] Detecting Cohesive and 2-mode Communities in Directed and Undirected Networks by J. Yang, J. McAuley and J. Leskovec, ACM International Conference on Web Search and Data Mining (WSDM), 2014. Community Detection in Networks with Node Attributes by J. Yang, J. McAuley and J. Leskovec, IEEE International Conference on Data Mining (ICDM), 2013. Estimating Sharer Reputation via Social Data Calibration by J. Yang, B.C. Chen and D. Agarwal, SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2013. Information Cartography: Creating Zoomable, Large-Scale Maps of Information by D. Shahaf, J. Yang, C. Suen, J. Jacobs, H. Wang, and J. Leskovec, SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2013. Overlapping Community Detection at Scale: A Nonnegative Matrix Factorization Approach by J. Yang and J. Leskovec, ACM International Conference on Web Search and Data Mining (WSDM), 2013. [Code] Structure and Overlaps of Communities in Networks by J. Yang and J. Leskovec, ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2013 Community-Affiliation Graph Model for Overlapping Community Detection by J. Yang and J. Leskovec, IEEE International Conference on Data Mining (ICDM), 2012. [Code] Defining and Evaluating Network Communities based on Ground-Truth by J. Yang and J. Leskovec, IEEE International Conference on Data Mining (ICDM), 2012. IEEE KAIS Test-of-time Award [Data] Structure and Overlaps of Communities in Networks by J. Yang and J. Leskovec, SNA-KDD Workshop held in conjuction with ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2012.
Patterns of Temporal Variation in Online Media by J. Yang and J. Leskovec,
ACM International Conference on Web Search and Data Mining (WSDM), 2011.
[Data]
[Code] In the press: New York Times
EducationPh.D, Electrical Engineering, Stanford University, Stanford, CA, 2014. (Adviser: Jure Leskovec)MS, Statistics, Stanford University, Stanford, CA, 2012. BS, Electrical Engineering, Seoul National University, Seoul, Korea, 2007.
Honors and Awards
Professional Activities
|