Liang Zhang

Affiliations:
  • LinkedIn Corporation, Sunnyvale, CA, USA
  • Yahoo! Labs, Santa Clara, CA, USA
  • Duke University, Department of Statistical Science, Durham, NC, USA (PhD 2008)


According to our database1, Liang Zhang authored at least 21 papers between 2008 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2021
Deep Natural Language Processing for LinkedIn Search.
CoRR, 2021

Deep Natural Language Processing for LinkedIn Search Systems.
CoRR, 2021

2020
Image and Video Understanding for Recommendation and Spam Detection Systems.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

DeText: A Deep Text Ranking Framework with BERT.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Deep Natural Language Processing for Search and Recommender Systems.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
How LinkedIn Economic Graph Bonds Information and Product: Applications in LinkedIn Salary.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Online Parameter Selection for Web-based Ranking Problems.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017
LiJAR: A System for Job Application Redistribution towards Efficient Career Marketplace.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Bringing Salary Transparency to the World: Computing Robust Compensation Insights via LinkedIn Salary.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Scout: A Point of Presence Recommendation System Using Real User Monitoring Data.
Proceedings of the Passive and Active Measurement - 17th International Conference, 2016

GLMix: Generalized Linear Mixed Models For Large-Scale Response Prediction.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015
Constrained Optimization for Homepage Relevance.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Personalizing LinkedIn Feed.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014
LASER: a scalable response prediction platform for online advertising.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Activity ranking in LinkedIn feed.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013
Parallel matrix factorization for binary response.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012
Online modeling of proactive moderation system for auction fraud detection.
Proceedings of the 21st World Wide Web Conference 2012, 2012

Overcoming browser cookie churn with clustering.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

2011
Generalizing matrix factorization through flexible regression priors.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

A machine-learned proactive moderation system for auction fraud detection.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2008
Fast Computation of Posterior Mode in Multi-Level Hierarchical Models.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008


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