Changsung Kang

31 papers A* 7A 8Misc 1Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Generating Query-Relevant Document Summaries via Reinforcement Learning.
CoRR
Nitin Yadav, Changsung Kang, Hongwei Shang, Ming Sun
2025 — conf
Knowledge Distillation for Enhancing Walmart E-commerce Search Relevance Using Large Language Models.
WWW (Companion Volume)
Hongwei Shang, Nguyen Vo, Nitin Yadav, Tian Zhang, Ajit Puthenputhussery, Xunfan Cai, Shuyi Chen, Prijith Chandran, Changsung Kang
2025 J jnl
Knowledge Distillation for Enhancing Walmart E-commerce Search Relevance Using Large Language Models.
CoRR
Hongwei Shang, Nguyen Vo, Nitin Yadav, Tian Zhang, Ajit Puthenputhussery, Xunfan Cai, Shuyi Chen, Prijith Chandran, Changsung Kang
2025 A* conf
Large Scale Deployment of BERT Based Cross Encoder Model for Re-Ranking in Walmart Search Engine.
SIGIR
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, Srikanth Dasaka, Vivek Agrawal, Michael Bowersox, Cun Mu, Ciya Liao
2025 J jnl
Meta-Learning to Rank for Sparsely Supervised Queries.
ACM Trans. Inf. Syst.
Xuyang Wu, Ajit Puthenputhussery, Hongwei Shang, Changsung Kang, Yi Fang
2024 — conf
Knowledge Distillation for Efficient and Effective Relevance Search on E-commerce.
eCom@SIGIR
Nguyen Vo, Hongwei Shang, Zhen Yang, Juexin Lin, Seyed Danial Mohseni Taheri, Changsung Kang
2024 J jnl
Meta Learning to Rank for Sparsely Supervised Queries.
CoRR
Xuyang Wu, Ajit Puthenputhussery, Hongwei Shang, Changsung Kang, Yi Fang
2023 A conf
Precision/Recall on Imbalanced Test Data.
AISTATS
Hongwei Shang, Jean-Marc Langlois, Kostas Tsioutsiouliklis, Changsung Kang
2022 A* conf
Classifying Emails into Human vs Machine Category.
AAAI
Changsung Kang, Hongwei Shang, Jean-Marc Langlois
2021 J jnl
Classifying Emails into Human vs Machine Category.
CoRR
Changsung Kang, Hongwei Shang, Jean-Marc Langlois
2017 J jnl
Large-Scale Location Prediction for Web Pages.
IEEE Trans. Knowl. Data Eng.
Yuening Hu, Changsung Kang, Jiliang Tang, Dawei Yin, Yi Chang
2016 A* conf
Learning Hostname Preference to Enhance Search Relevance.
IJCAI
Jingjing Wang, Changsung Kang, Yi Chang, Jiawei Han
2016 A* conf
Learning Query and Document Relevance from a Web-scale Click Graph.
SIGIR
Shan Jiang, Yuening Hu, Changsung Kang, Tim Daly Jr., Dawei Yin, Yi Chang, ChengXiang Zhai
2016 A conf
Learning to Rewrite Queries.
CIKM
Yunlong He, Jiliang Tang, Hua Ouyang, Changsung Kang, Dawei Yin, Yi Chang
2016 A* conf
Ranking Relevance in Yahoo Search.
KDD
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
2015 J jnl
Learning to rank related entities in Web search.
Neurocomputing
Changsung Kang, Dawei Yin, Ruiqiang Zhang, Nicolas Torzec, Jianzhang He, Yi Chang
2014 A* conf
A hierarchical Dirichlet model for taxonomy expansion for search engines.
WWW
Jingjing Wang, Changsung Kang, Yi Chang, Jiawei Han
2012 J jnl
Inequality Constraints in Causal Models with Hidden Variables.
CoRR
Changsung Kang, Jin Tian
2012 A conf
Learning to rank with multi-aspect relevance for vertical search.
WSDM
Changsung Kang, Xuanhui Wang, Yi Chang, Belle L. Tseng
2012 J jnl
Local Markov Property for Models Satisfying Composition Axiom
CoRR
Changsung Kang, Jin Tian
2012 J jnl
Polynomial Constraints in Causal Bayesian Networks
CoRR
Changsung Kang, Jin Tian
2012 A conf
Predicting primary categories of business listings for local search.
CIKM
Changsung Kang, Jeehaeng Lee, Yi Chang
2011 A conf
Learning to re-rank web search results with multiple pairwise features.
WSDM
Changsung Kang, Xuanhui Wang, Jiang Chen, Ciya Liao, Yi Chang, Belle L. Tseng, Zhaohui Zheng
2011 J jnl
Modeling Perceived Relevance for Tail Queries without Click-Through Data
CoRR
Changsung Kang, Xiaotong Lin, Xuanhui Wang, Yi Chang, Belle L. Tseng
2011 — conf
Ranking related entities for web search queries.
WWW (Companion Volume)
Changsung Kang, Srinivas Vadrevu, Ruiqiang Zhang, Roelof van Zwol, Lluis Garcia Pueyo, Nicolas Torzec, Jianzhang He, Yi Chang
2009 J jnl
Markov Properties for Linear Causal Models with Correlated Errors.
J. Mach. Learn. Res.
Changsung Kang, Jin Tian
2007 A conf
Polynomial Constraints in Causal Bayesian Networks.
UAI
Changsung Kang, Jin Tian
2006 A* conf
A Characterization of Interventional Distributions in Semi-Markovian Causal Models.
AAAI
Jin Tian, Changsung Kang, Judea Pearl
2006 Misc conf
A Hybrid Generative/Discriminative Bayesian Classifier.
FLAIRS
Changsung Kang, Jin Tian
2006 A conf
Inequality Constraints in Causal Models with Hidden Variables.
UAI
Changsung Kang, Jin Tian
2005 A conf
Local Markov Property for Models Satisfying Composition Axiom.
UAI
Changsung Kang, Jin Tian