Liang Zhang

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Deep Natural Language Processing for LinkedIn Search.

Weiwei Guo, Xiaowei Liu, Sida Wang, Michaeel Kazi, Zhiwei Wang, Zhoutong Fu, Jun Jia, Liang Zhang, Huiji Gao, Bo Long

CoRR, 2021

Deep Natural Language Processing for LinkedIn Search Systems.

Weiwei Guo, Xiaowei Liu, Sida Wang, Michaeel Kazi, Zhoutong Fu, Huiji Gao, Jun Jia, Liang Zhang, Bo Long

CoRR, 2021

2020

Image and Video Understanding for Recommendation and Spam Detection Systems.

Aman Gupta, Sirjan Kafle, Di Wen, Dylan Wang, Sumit Srivastava, Suhit Sinha, Nikita Gupta, Bharat Jain, Ananth Sankar, Liang Zhang

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.

Weiwei Guo, Xiaowei Liu, Sida Wang, Huiji Gao, Ananth Sankar, Zimeng Yang, Qi Guo, Liang Zhang, Bo Long, Bee-Chung Chen, Deepak Agarwal

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.

Weiwei Guo, Huiji Gao, Jun Shi, Bo Long, Liang Zhang, Bee-Chung Chen, Deepak Agarwal

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.

Xi Chen, Yiqun Liu, Liang Zhang, Krishnaram Kenthapadi

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Online Parameter Selection for Web-based Ranking Problems.

Deepak Agarwal, Kinjal Basu, Souvik Ghosh, Ying Xuan, Yang Yang, Liang Zhang

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.

Fedor Borisyuk, Liang Zhang, Krishnaram Kenthapadi

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.

Krishnaram Kenthapadi, Stuart Ambler, Liang Zhang, Deepak Agarwal

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.

Yang Yang, Liang Zhang, Ritesh Maheshwari, Zaid Ali Kahn, Deepak Agarwal, Sanjay Dubey

Proceedings of the Passive and Active Measurement - 17th International Conference, 2016

GLMix: Generalized Linear Mixed Models For Large-Scale Response Prediction.

XianXing Zhang, Yitong Zhou, Yiming Ma, Bee-Chung Chen, Liang Zhang, Deepak Agarwal

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015

Constrained Optimization for Homepage Relevance.

Deepak Agarwal, Shaunak Chatterjee, Yang Yang, Liang Zhang

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Personalizing LinkedIn Feed.

Deepak Agarwal, Bee-Chung Chen, Qi He, Zhenhao Hua, Guy Lebanon, Yiming Ma, Pannagadatta Shivaswamy, Hsiao-Ping Tseng, Jaewon Yang, Liang Zhang

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.

Deepak Agarwal, Bo Long, Jonathan Traupman, Doris Xin, Liang Zhang

Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Activity ranking in LinkedIn feed.

Deepak Agarwal, Bee-Chung Chen, Rupesh Gupta, Joshua Hartman, Qi He, Anand Iyer, Sumanth Kolar, Yiming Ma, Pannagadatta Shivaswamy, Ajit Singh, Liang Zhang

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013

Parallel matrix factorization for binary response.

Rajiv Khanna, Liang Zhang, Deepak Agarwal, Bee-Chung Chen

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.

Liang Zhang, Jie Yang, Belle L. Tseng

Proceedings of the 21st World Wide Web Conference 2012, 2012

Overcoming browser cookie churn with clustering.

Anirban Dasgupta, Maxim Gurevich, Liang Zhang, Belle L. Tseng, Achint Oommen Thomas

Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

2011

Generalizing matrix factorization through flexible regression priors.

Liang Zhang, Deepak Agarwal, Bee-Chung Chen

Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

A machine-learned proactive moderation system for auction fraud detection.

Liang Zhang, Jie Yang, Wei Chu, Belle L. Tseng

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2008

Fast Computation of Posterior Mode in Multi-Level Hierarchical Models.

Liang Zhang, Deepak Agarwal

Proceedings of the Advances in Neural Information Processing Systems 21, 2008