Bee-Chung Chen

Publication Activity (10 Years)

Years Active: 2003-2020
Publications (10 Years): 8

Top Topics

Matrix Factorization

Top Venues

Publications

Weiwei Guo, Xiaowei Liu, Sida Wang, Huiji Gao, Ananth Sankar, Zimeng Yang, Qi Guo, Liang Zhang, Bo Long, Bee-Chung Chen, Deepak Agarwal
DeText: A Deep Text Ranking Framework with BERT. CIKM (2020)
Weiwei Guo, Xiaowei Liu, Sida Wang, Huiji Gao, Ananth Sankar, Zimeng Yang, Qi Guo, Liang Zhang, Bo Long, Bee-Chung Chen, Deepak Agarwal
DeText: A Deep Text Ranking Framework with BERT. CoRR (2020)
Weiwei Guo, Huiji Gao, Jun Shi, Bo Long, Liang Zhang, Bee-Chung Chen, Deepak Agarwal
Deep Natural Language Processing for Search and Recommender Systems. KDD (2019)
Liangyue Li, How Jing, Hanghang Tong, Jaewon Yang, Qi He, Bee-Chung Chen
NEMO: Next Career Move Prediction with Contextual Embedding. WWW (Companion Volume) (2017)
Guangde Chen, Bee-Chung Chen, Deepak Agarwal
Social Incentive Optimization in Online Social Networks. WSDM (2017)
Liang Tang, Bo Long, Bee-Chung Chen, Deepak Agarwal
An Empirical Study on Recommendation with Multiple Types of Feedback. KDD (2016)
XianXing Zhang, Yitong Zhou, Yiming Ma, Bee-Chung Chen, Liang Zhang, Deepak Agarwal
GLMix: Generalized Linear Mixed Models For Large-Scale Response Prediction. KDD (2016)
Navneet Kapur, Nikita I. Lytkin, Bee-Chung Chen, Deepak Agarwal, Igor Perisic
Ranking Universities Based on Career Outcomes of Graduates. KDD (2016)
Deepak Agarwal, Bee-Chung Chen, Qi He, Zhenhao Hua, Guy Lebanon, Yiming Ma, Pannagadatta Shivaswamy, Hsiao-Ping Tseng, Jaewon Yang, Liang Zhang
Personalizing LinkedIn Feed. KDD (2015)
Deepak Agarwal, Bee-Chung Chen, Rupesh Gupta, Joshua Hartman, Qi He, Anand Iyer, Sumanth Kolar, Yiming Ma, Pannagadatta Shivaswamy, Ajit Singh, Liang Zhang
Activity ranking in LinkedIn feed. KDD (2014)
Rajiv Khanna, Liang Zhang, Deepak Agarwal, Bee-Chung Chen
Parallel matrix factorization for binary response. IEEE BigData (2013)
Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Raghu Ramakrishnan
Content recommendation on web portals. Commun. ACM 56 (6) (2013)
Jaewon Yang, Bee-Chung Chen, Deepak Agarwal
Estimating sharer reputation via social data calibration. KDD (2013)
Rajiv Khanna, Liang Zhang, Deepak Agarwal, Bee-Chung Chen
Parallel Matrix Factorization for Binary Response CoRR (2012)
Deepak Agarwal, Bee-Chung Chen, Xuanhui Wang
Multi-faceted ranking of news articles using post-read actions. CIKM (2012)
Bee-Chung Chen, Anirban Dasgupta, Xuanhui Wang, Jie Yang
Vote calibration in community question-answering systems. SIGIR (2012)
Deepak Agarwal, Bee-Chung Chen, Xuanhui Wang
Multi-Faceted Ranking of News Articles using Post-Read Actions CoRR (2012)
Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Xuanhui Wang
Personalized click shaping through lagrangian duality for online recommendation. SIGIR (2012)
Judd Antin, Elizabeth F. Churchill, Bee-Chung Chen
Workshop on online reputation: context, privacy, and reputation management. WWW (Companion Volume) (2011)
Liang Zhang, Deepak Agarwal, Bee-Chung Chen
Generalizing matrix factorization through flexible regression priors. RecSys (2011)
Deepak Agarwal, Bee-Chung Chen, Bo Long
Localized factor models for multi-context recommendation. KDD (2011)
Deepak Agarwal, Bee-Chung Chen
Latent OLAP: data cubes over latent variables. SIGMOD Conference (2011)
Bee-Chung Chen, Jian Guo, Belle L. Tseng, Jie Yang
User reputation in a comment rating environment. KDD (2011)
Deepak Agarwal, Bee-Chung Chen, Bo Pang
Personalized Recommendation of User Comments via Factor Models. EMNLP (2011)
Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Xuanhui Wang
Click shaping to optimize multiple objectives. KDD (2011)
Deepak Agarwal, Bee-Chung Chen
fLDA: matrix factorization through latent dirichlet allocation. WSDM (2010)
Deepak Agarwal, Bee-Chung Chen, Pradheep Elango
Fast online learning through offline initialization for time-sensitive recommendation. KDD (2010)
Deepak Agarwal, Bee-Chung Chen, Pradheep Elango
Spatio-temporal models for estimating click-through rate. WWW (2009)
Bee-Chung Chen, Daniel Kifer, Kristen LeFevre, Ashwin Machanavajjhala
Privacy-Preserving Data Publishing. Found. Trends Databases 2 (1-2) (2009)
Bee-Chung Chen, Raghu Ramakrishnan, Jude W. Shavlik, Pradeep Tamma
Bellwether analysis: Searching for cost-effective query-defined predictors in large databases. ACM Trans. Knowl. Discov. Data 3 (1) (2009)
Deepak Agarwal, Bee-Chung Chen
Regression-based latent factor models. KDD (2009)
Deepak Agarwal, Bee-Chung Chen, Pradheep Elango
Explore/Exploit Schemes for Web Content Optimization. ICDM (2009)
Bee-Chung Chen, Kristen LeFevre, Raghu Ramakrishnan
Adversarial-knowledge dimensions in data privacy. VLDB J. 18 (2) (2009)
Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Nitin Motgi, Seung-Taek Park, Raghu Ramakrishnan, Scott Roy, Joe Zachariah
Online Models for Content Optimization. NIPS (2008)
Raghu Ramakrishnan, Bee-Chung Chen
Exploratory mining in cube space. Data Min. Knowl. Discov. 15 (1) (2007)
Surajit Chaudhuri, Bee-Chung Chen, Venkatesh Ganti, Raghav Kaushik
Example-driven design of efficient record matching queries. VLDB (2007)
Bee-Chung Chen, Raghu Ramakrishnan, Kristen LeFevre
Privacy Skyline: Privacy with Multidimensional Adversarial Knowledge. VLDB (2007)
Bee-Chung Chen, Vinod Yegneswaran, Paul Barford, Raghu Ramakrishnan
Toward a Query Language for Network Attack Data. ICDE Workshops (2006)
Bee-Chung Chen, Lei Chen, Raghu Ramakrishnan, David R. Musicant
Learning from Aggregate Views. ICDE (2006)
Lei Chen, Raghu Ramakrishnan, Paul Barford, Bee-Chung Chen, Vinod Yegneswaran
Composite Subset Measures. VLDB (2006)
Bee-Chung Chen, Raghu Ramakrishnan, Jude W. Shavlik, Pradeep Tamma
Bellwether Analysis: Predicting Global Aggregates from Local Regions. VLDB (2006)
Bee-Chung Chen, Lei Chen, Yi Lin, Raghu Ramakrishnan
Prediction Cubes. VLDB (2005)
Bee-Chung Chen, Jieh Hsiang
A Logical Framework of Knowledge Retrieval with Fuzziness. Web Intelligence (2004)
Jieh Hsiang, Wen-Jun Liu, Bee-Chung Chen, Hsieh-Chang Tu
Multidimensional interactive fine-grained image retrieval. ICME (2003)