Bee-Chung Chen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
32
Venues
11
Active years
2005–2020
Best venue rank
A*
Where they publish
Papers
32 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2020 | CIKM | 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 |
| 2019 | KDD | Deep Natural Language Processing for Search and Recommender Systems. | Weiwei Guo, Huiji Gao, Jun Shi, Bo Long, Liang Zhang, Bee-Chung Chen, Deepak Agarwal |
| 2017 | WWW | NEMO: Next Career Move Prediction with Contextual Embedding. | Liangyue Li, How Jing, Hanghang Tong, Jaewon Yang, Qi He, Bee-Chung Chen |
| 2017 | WSDM | Social Incentive Optimization in Online Social Networks. | Guangde Chen, Bee-Chung Chen, Deepak Agarwal |
| 2016 | KDD | Ranking Universities Based on Career Outcomes of Graduates. | Navneet Kapur, Nikita I. Lytkin, Bee-Chung Chen, Deepak Agarwal, Igor Perisic |
| 2016 | KDD | An Empirical Study on Recommendation with Multiple Types of Feedback. | Liang Tang, Bo Long, Bee-Chung Chen, Deepak Agarwal |
| 2016 | KDD | GLMix: Generalized Linear Mixed Models For Large-Scale Response Prediction. | XianXing Zhang, Yitong Zhou, Yiming Ma, Bee-Chung Chen, Liang Zhang, Deepak Agarwal |
| 2015 | KDD | 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 |
| 2014 | KDD | 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 |
| 2013 | KDD | Estimating sharer reputation via social data calibration. | Jaewon Yang, Bee-Chung Chen, Deepak Agarwal |
| 2012 | CIKM | Multi-faceted ranking of news articles using post-read actions. | Deepak Agarwal, Bee-Chung Chen, Xuanhui Wang |
| 2012 | SIGIR | Personalized click shaping through lagrangian duality for online recommendation. | Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Xuanhui Wang |
| 2012 | SIGIR | Vote calibration in community question-answering systems. | Bee-Chung Chen, Anirban Dasgupta, Xuanhui Wang, Jie Yang |
| 2011 | EMNLP | Personalized Recommendation of User Comments via Factor Models. | Deepak Agarwal, Bee-Chung Chen, Bo Pang |
| 2011 | KDD | Click shaping to optimize multiple objectives. | Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Xuanhui Wang |
| 2011 | KDD | Localized factor models for multi-context recommendation. | Deepak Agarwal, Bee-Chung Chen, Bo Long |
| 2011 | KDD | User reputation in a comment rating environment. | Bee-Chung Chen, Jian Guo, Belle L. Tseng, Jie Yang |
| 2011 | RecSys | Generalizing matrix factorization through flexible regression priors. | Liang Zhang, Deepak Agarwal, Bee-Chung Chen |
| 2011 | WWW | Workshop on online reputation: context, privacy, and reputation management. | Judd Antin, Elizabeth F. Churchill, Bee-Chung Chen |
| 2011 | SIGMOD | Latent OLAP: data cubes over latent variables. | Deepak Agarwal, Bee-Chung Chen |
| 2010 | KDD | Fast online learning through offline initialization for time-sensitive recommendation. | Deepak Agarwal, Bee-Chung Chen, Pradheep Elango |
| 2010 | WSDM | fLDA: matrix factorization through latent dirichlet allocation. | Deepak Agarwal, Bee-Chung Chen |
| 2009 | ICDM | Explore/Exploit Schemes for Web Content Optimization. | Deepak Agarwal, Bee-Chung Chen, Pradheep Elango |
| 2009 | KDD | Regression-based latent factor models. | Deepak Agarwal, Bee-Chung Chen |
| 2009 | WWW | Spatio-temporal models for estimating click-through rate. | Deepak Agarwal, Bee-Chung Chen, Pradheep Elango |
| 2007 | VLDB | Example-driven design of efficient record matching queries. | Surajit Chaudhuri, Bee-Chung Chen, Venkatesh Ganti, Raghav Kaushik |
| 2007 | VLDB | Privacy Skyline: Privacy with Multidimensional Adversarial Knowledge. | Bee-Chung Chen, Raghu Ramakrishnan, Kristen LeFevre |
| 2006 | ICDE | Learning from Aggregate Views. | Bee-Chung Chen, Lei Chen, Raghu Ramakrishnan, David R. Musicant |
| 2006 | ICDE | Toward a Query Language for Network Attack Data. | Bee-Chung Chen, Vinod Yegneswaran, Paul Barford, Raghu Ramakrishnan |
| 2006 | VLDB | Composite Subset Measures. | Lei Chen, Raghu Ramakrishnan, Paul Barford, Bee-Chung Chen, Vinod Yegneswaran |
| 2006 | VLDB | Bellwether Analysis: Predicting Global Aggregates from Local Regions. | Bee-Chung Chen, Raghu Ramakrishnan, Jude W. Shavlik, Pradeep Tamma |
| 2005 | VLDB | Prediction Cubes. | Bee-Chung Chen, Lei Chen, Yi Lin, Raghu Ramakrishnan |