Jaewon Yang

jayang [at] cs [dot] stanford [dot] edu
Jaewon Yang Hi! I am an ML engineer at Nextdoor. Prior to Nextdoor, I was a Principal Staff ML Engineer at LinkedIn. Before that, I obtained my Ph.D from Stanford Infolab. This page lists my academic contributions. For my professional profile, please refer to my LinkedIn profile.

Publications

TaxoTrans: Taxonomy-Guided Entity Translation KDD, 2022.

Graph Neural Networks for the Global Economy with Microsoft DeepGraph (Invited talk) WSDM, 2022.

Contextual Skill Proficiency via Multi-task Learning at LinkedIn CIKM, 2021.

Performance-Adaptive Sampling Strategy Towards Fast and Accurate Graph Neural Networks KDD, 2021.

Salience and Market-aware Skill Extraction for Job Targeting KDD, 2020.

Learning to Ask Screening Questions for Job Postings SIGIR, 2020.

Learning to Ask Screening Questions for Job Postings SIGIR, 2020.

Social Skill Validation at LinkedIn by X. Yan, J. Yang, M. Obukhov, L. Zhu, J. Bai, S. Wu and Q. He, KDD, 2019.

Nemo: Next Career Move Prediction with Contextual Embedding by L. Li, H. Jing, H. Tong, J. Yang, Q. He and BC. Chen, 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, 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, WWW, 2014. [Code]

Detecting Cohesive and 2-mode Communities in Directed and Undirected Networks by J. Yang, J. McAuley and J. Leskovec, WSDM, 2014.

Community Detection in Networks with Node Attributes by J. Yang, J. McAuley and J. Leskovec, ICDM, 2013.

Estimating Sharer Reputation via Social Data Calibration by J. Yang, B.C. Chen and D. Agarwal, 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, KDD, 2013.

Overlapping Community Detection at Scale: A Nonnegative Matrix Factorization Approach by J. Yang and J. Leskovec, 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, ICDM, 2012. [Code]

Defining and Evaluating Network Communities based on Ground-Truth by J. Yang and J. Leskovec, ICDM, 2012. IEEE KAIS Test-of-time Award [Data]

Structure and Overlaps of Communities in Networks by J. Yang and J. Leskovec, SNA-KDD, 2012.

Patterns of Temporal Variation in Online Media by J. Yang and J. Leskovec, WSDM, 2011. [Data] [Code]
In the press: MIT Tech Review

Modeling Information Diffusion in Implicit Networks by J. Yang and J. Leskovec, ICDM, 2010. Best application paper award [Data & Code]
In the press: New York Times

Employment

ML Engineer IC7, Nextdoor, 2022-Present
Principal Staff Engineer, LinkedIn, 2014-2022

Education

Ph.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

  • WSDM Journal Test-of-time Award Runner Up, 2022
  • IEEE KAIS Journal Test-of-time Award, 2018
  • SIGKDD Doctoral Dissertation Award Honorable Mention, 2014
  • Best Application Paper Award, IEEE ICDM, 2010
  • Doctorate Fellowship, Samsung Scholarship, 2007~2012
  • Undergraduate Fellowship, Korea Foundation for Advanced Studies, 2002~2006
  • Gold prize (ranked 2nd in South Korea), National Contest of Science by the Korean Ministry of Education, 1999

Professional Activities

  • Senior Program Committee: CIKM
  • Program Committee: KDD, ICML, NIPS, WWW, CIKM, ICDM
  • Tutorials: End-to-end Goal-oriented Question Answering Systems, KDD 2018 and AAAI 2019
  • Tutorials: Constructing Knowledge Graph for Social Networks in A Deep and Holistic Way, WWW 2020