Bee-Chung Chen

47 papers A* 23A 6Journal 8Unranked 7

Year	Rank	Type	Title / Venue / Authors
2020	A	`conf`	DeText: A Deep Text Ranking Framework with BERT. CIKM Weiwei Guo, Xiaowei Liu, Sida Wang, Huiji Gao, Ananth Sankar, Zimeng Yang, Qi Guo, Liang Zhang, Bo Long, Bee-Chung Chen, Deepak Agarwal
2020	J	`jnl`	DeText: A Deep Text Ranking Framework with BERT. CoRR Weiwei Guo, Xiaowei Liu, Sida Wang, Huiji Gao, Ananth Sankar, Zimeng Yang, Qi Guo, Liang Zhang, Bo Long, Bee-Chung Chen, Deepak Agarwal
2019	A*	`conf`	Deep Natural Language Processing for Search and Recommender Systems. KDD Weiwei Guo, Huiji Gao, Jun Shi, Bo Long, Liang Zhang, Bee-Chung Chen, Deepak Agarwal
2018	—	`ch.`	Spatiotemporal Personalized Recommendation of Social Media Content. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Bee-Chung Chen
2017	—	`conf`	NEMO: Next Career Move Prediction with Contextual Embedding. WWW (Companion Volume) Liangyue Li, How Jing, Hanghang Tong, Jaewon Yang, Qi He, Bee-Chung Chen
2017	A	`conf`	Social Incentive Optimization in Online Social Networks. WSDM Guangde Chen, Bee-Chung Chen, Deepak Agarwal
2016	A*	`conf`	An Empirical Study on Recommendation with Multiple Types of Feedback. KDD Liang Tang, Bo Long, Bee-Chung Chen, Deepak Agarwal
2016	A*	`conf`	GLMix: Generalized Linear Mixed Models For Large-Scale Response Prediction. KDD XianXing Zhang, Yitong Zhou, Yiming Ma, Bee-Chung Chen, Liang Zhang, Deepak Agarwal
2016	A*	`conf`	Ranking Universities Based on Career Outcomes of Graduates. KDD Navneet Kapur, Nikita I. Lytkin, Bee-Chung Chen, Deepak Agarwal, Igor Perisic
2015	A*	`conf`	Personalizing LinkedIn Feed. KDD Deepak Agarwal, Bee-Chung Chen, Qi He, Zhenhao Hua, Guy Lebanon, Yiming Ma, Pannagadatta Shivaswamy, Hsiao-Ping Tseng, Jaewon Yang, Liang Zhang
2014	A*	`conf`	Activity ranking in LinkedIn feed. KDD Deepak Agarwal, Bee-Chung Chen, Rupesh Gupta, Joshua Hartman, Qi He, Anand Iyer, Sumanth Kolar, Yiming Ma, Pannagadatta Shivaswamy, Ajit Singh, Liang Zhang
2014	—	`ch.`	Spatiotemporal Personalized Recommendation of Social Media Content. Encyclopedia of Social Network Analysis and Mining Bee-Chung Chen
2013	J	`jnl`	Content recommendation on web portals. Commun. ACM Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Raghu Ramakrishnan
2013	A*	`conf`	Estimating sharer reputation via social data calibration. KDD Jaewon Yang, Bee-Chung Chen, Deepak Agarwal
2013	—	`conf`	Parallel matrix factorization for binary response. IEEE BigData Rajiv Khanna, Liang Zhang, Deepak Agarwal, Bee-Chung Chen
2012	J	`jnl`	Multi-Faceted Ranking of News Articles using Post-Read Actions CoRR Deepak Agarwal, Bee-Chung Chen, Xuanhui Wang
2012	A	`conf`	Multi-faceted ranking of news articles using post-read actions. CIKM Deepak Agarwal, Bee-Chung Chen, Xuanhui Wang
2012	J	`jnl`	Parallel Matrix Factorization for Binary Response CoRR Rajiv Khanna, Liang Zhang, Deepak Agarwal, Bee-Chung Chen
2012	A*	`conf`	Personalized click shaping through lagrangian duality for online recommendation. SIGIR Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Xuanhui Wang
2012	A*	`conf`	Vote calibration in community question-answering systems. SIGIR Bee-Chung Chen, Anirban Dasgupta, Xuanhui Wang, Jie Yang
2011	—	`ch.`	Adversarial/External Knowledge (Privacy in the Presence of). Encyclopedia of Cryptography and Security (2nd Ed.) Kristen LeFevre, Bee-Chung Chen
2011	A*	`conf`	Click shaping to optimize multiple objectives. KDD Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Xuanhui Wang
2011	A	`conf`	Generalizing matrix factorization through flexible regression priors. RecSys Liang Zhang, Deepak Agarwal, Bee-Chung Chen
2011	—	`conf`	Latent OLAP: data cubes over latent variables. SIGMOD Conference Deepak Agarwal, Bee-Chung Chen
2011	A*	`conf`	Localized factor models for multi-context recommendation. KDD Deepak Agarwal, Bee-Chung Chen, Bo Long
2011	A*	`conf`	Personalized Recommendation of User Comments via Factor Models. EMNLP Deepak Agarwal, Bee-Chung Chen, Bo Pang
2011	A*	`conf`	User reputation in a comment rating environment. KDD Bee-Chung Chen, Jian Guo, Belle L. Tseng, Jie Yang
2011	—	`conf`	Workshop on online reputation: context, privacy, and reputation management. WWW (Companion Volume) Judd Antin, Elizabeth F. Churchill, Bee-Chung Chen
2010	A*	`conf`	Fast online learning through offline initialization for time-sensitive recommendation. KDD Deepak Agarwal, Bee-Chung Chen, Pradheep Elango
2010	A	`conf`	fLDA: matrix factorization through latent dirichlet allocation. WSDM Deepak Agarwal, Bee-Chung Chen
2009	J	`jnl`	Adversarial-knowledge dimensions in data privacy. VLDB J. Bee-Chung Chen, Kristen LeFevre, Raghu Ramakrishnan
2009	J	`jnl`	Bellwether analysis: Searching for cost-effective query-defined predictors in large databases. ACM Trans. Knowl. Discov. Data Bee-Chung Chen, Raghu Ramakrishnan, Jude W. Shavlik, Pradeep Tamma
2009	A*	`conf`	Explore/Exploit Schemes for Web Content Optimization. ICDM Deepak Agarwal, Bee-Chung Chen, Pradheep Elango
2009	J	`jnl`	Privacy-Preserving Data Publishing. Found. Trends Databases Bee-Chung Chen, Daniel Kifer, Kristen LeFevre, Ashwin Machanavajjhala
2009	A*	`conf`	Regression-based latent factor models. KDD Deepak Agarwal, Bee-Chung Chen
2009	A*	`conf`	Spatio-temporal models for estimating click-through rate. WWW Deepak Agarwal, Bee-Chung Chen, Pradheep Elango
2008	—	`conf`	Online Models for Content Optimization. NIPS Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Nitin Motgi, Seung-Taek Park, Raghu Ramakrishnan, Scott Roy, Joe Zachariah
2007	A*	`conf`	Example-driven design of efficient record matching queries. VLDB Surajit Chaudhuri, Bee-Chung Chen, Venkatesh Ganti, Raghav Kaushik
2007	J	`jnl`	Exploratory mining in cube space. Data Min. Knowl. Discov. Raghu Ramakrishnan, Bee-Chung Chen
2007	A*	`conf`	Privacy Skyline: Privacy with Multidimensional Adversarial Knowledge. VLDB Bee-Chung Chen, Raghu Ramakrishnan, Kristen LeFevre
2006	A*	`conf`	Bellwether Analysis: Predicting Global Aggregates from Local Regions. VLDB Bee-Chung Chen, Raghu Ramakrishnan, Jude W. Shavlik, Pradeep Tamma
2006	A*	`conf`	Composite Subset Measures. VLDB Lei Chen, Raghu Ramakrishnan, Paul Barford, Bee-Chung Chen, Vinod Yegneswaran
2006	A*	`conf`	Learning from Aggregate Views. ICDE Bee-Chung Chen, Lei Chen, Raghu Ramakrishnan, David R. Musicant
2006	—	`conf`	Toward a Query Language for Network Attack Data. ICDE Workshops Bee-Chung Chen, Vinod Yegneswaran, Paul Barford, Raghu Ramakrishnan
2005	A*	`conf`	Prediction Cubes. VLDB Bee-Chung Chen, Lei Chen, Yi Lin, Raghu Ramakrishnan
2004	—	`conf`	A Logical Framework of Knowledge Retrieval with Fuzziness. Web Intelligence Bee-Chung Chen, Jieh Hsiang
2003	A	`conf`	Multidimensional interactive fine-grained image retrieval. ICME Jieh Hsiang, Wen-Jun Liu, Bee-Chung Chen, Hsieh-Chang Tu