Local Markov Property for Models Satisfying Composition Axiom. - Changsung Kang; Jin Tian 001 (UAI, 2005)

A Characterization of Interventional Distributions in Semi-Markovian Causal Models. - Jin Tian 001; Changsung Kang; Judea Pearl (AAAI, 2006)

A Hybrid Generative/Discriminative Bayesian Classifier. - Changsung Kang; Jin Tian 001 (FLAIRS, 2006)

Inequality Constraints in Causal Models with Hidden Variables. - Changsung Kang; Jin Tian 001 (UAI, 2006)

Polynomial Constraints in Causal Bayesian Networks. - Changsung Kang; Jin Tian 001 (UAI, 2007)

Markov Properties for Linear Causal Models with Correlated Errors. - Changsung Kang; Jin Tian 001 (J. Mach. Learn. Res., 2009)

Learning to re-rank web search results with multiple pairwise features. - Changsung Kang; Xuanhui Wang; Jiang Chen; Ciya Liao; Yi Chang 001; Belle L. Tseng; Zhaohui Zheng 001 (WSDM, 2011)

Ranking related entities for web search queries. - Changsung Kang; Srinivas Vadrevu; Ruiqiang Zhang; Roelof van Zwol; Lluis Garcia Pueyo; Nicolas Torzec; Jianzhang He; Yi Chang 001 (WWW (Companion Volume), 2011)

Modeling Perceived Relevance for Tail Queries without Click-Through Data - Changsung Kang; Xiaotong Lin; Xuanhui Wang; Yi Chang 001; Belle L. Tseng (CoRR, 2011)

Predicting primary categories of business listings for local search. - Changsung Kang; Jeehaeng Lee; Yi Chang 001 (CIKM, 2012)

Learning to rank with multi-aspect relevance for vertical search. - Changsung Kang; Xuanhui Wang; Yi Chang 001; Belle L. Tseng (WSDM, 2012)

A hierarchical Dirichlet model for taxonomy expansion for search engines. - Jingjing Wang; Changsung Kang; Yi Chang 001; Jiawei Han 001 (WWW, 2014)

Learning to rank related entities in Web search. - Changsung Kang; Dawei Yin; Ruiqiang Zhang; Nicolas Torzec; Jianzhang He; Yi Chang 001 (Neurocomputing, 2015)

Learning to Rewrite Queries. - Yunlong He; Jiliang Tang; Hua Ouyang; Changsung Kang; Dawei Yin; Yi Chang 001 (CIKM, 2016)

Learning Hostname Preference to Enhance Search Relevance. - Jingjing Wang; Changsung Kang; Yi Chang 001; Jiawei Han 001 (IJCAI, 2016)

Ranking Relevance in Yahoo Search. - Dawei Yin; Yuening Hu; Jiliang Tang; Tim Daly Jr.; Mianwei Zhou; Hua Ouyang; Jianhui Chen; Changsung Kang; Hongbo Deng; Chikashi Nobata; Jean-Marc Langlois; Yi Chang 001 (KDD, 2016)

Learning Query and Document Relevance from a Web-scale Click Graph. - Shan Jiang 001; Yuening Hu; Changsung Kang; Tim Daly Jr.; Dawei Yin; Yi Chang 001; ChengXiang Zhai (SIGIR, 2016)

Large-Scale Location Prediction for Web Pages. - Yuening Hu; Changsung Kang; Jiliang Tang; Dawei Yin; Yi Chang 001 (IEEE Trans. Knowl. Data Eng., 2017)

Classifying Emails into Human vs Machine Category. - Changsung Kang; Hongwei Shang; Jean-Marc Langlois (AAAI, 2022)

Precision/Recall on Imbalanced Test Data. - Hongwei Shang; Jean-Marc Langlois; Kostas Tsioutsiouliklis; Changsung Kang (AISTATS, 2023)

Knowledge Distillation for Efficient and Effective Relevance Search on E-commerce. - Nguyen Vo; Hongwei Shang; Zhen Yang; Juexin Lin; Seyed Danial Mohseni Taheri; Changsung Kang (eCom@SIGIR, 2024)

Large Scale Deployment of BERT Based Cross Encoder Model for Re-Ranking in Walmart Search Engine. - Ajit Puthenputhussery; Changsung Kang; Alessandro Magnani; Tian Zhang; Hongwei Shang; Nitin Yadav; Prijith Chandran; Bhavin Madhani; Yuan-Tai Fu; He Wang; Zbigniew Gasiorek; Salvatore Tornatore; et al. (SIGIR, 2025)

Knowledge Distillation for Enhancing Walmart E-commerce Search Relevance Using Large Language Models. - Hongwei Shang; Nguyen Vo; Nitin Yadav; Tian Zhang; Ajit Puthenputhussery; Xunfan Cai; Shuyi Chen; Prijith Chandran; Changsung Kang (WWW (Companion Volume), 2025)

Meta-Learning to Rank for Sparsely Supervised Queries. - Xuyang Wu 002; Ajit Puthenputhussery; Hongwei Shang; Changsung Kang; Yi Fang 008 (ACM Trans. Inf. Syst., 2025)

Generating Query-Relevant Document Summaries via Reinforcement Learning. - Nitin Yadav; Changsung Kang; Hongwei Shang; Ming Sun (CoRR, 2025)