Changsung Kang

According to our database, Changsung Kang authored at least 22 papers between 2005 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Meta-Learning to Rank for Sparsely Supervised Queries.

Xuyang Wu, Ajit Puthenputhussery, Hongwei Shang, Changsung Kang, Yi Fang

ACM Trans. Inf. Syst., January, 2025

2024

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

Proceedings of the ACM SIGIR Workshop on eCommerce 2024 co-located with the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), 2024

2023

Precision/Recall on Imbalanced Test Data.

Hongwei Shang, Jean-Marc Langlois, Kostas Tsioutsiouliklis, Changsung Kang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Classifying Emails into Human vs Machine Category.

Changsung Kang, Hongwei Shang, Jean-Marc Langlois

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2017

Large-Scale Location Prediction for Web Pages.

Yuening Hu, Changsung Kang, Jiliang Tang, Dawei Yin, Yi Chang

IEEE Trans. Knowl. Data Eng., 2017

2016

Learning Query and Document Relevance from a Web-scale Click Graph.

Shan Jiang, Yuening Hu, Changsung Kang, Tim Daly Jr., Dawei Yin, Yi Chang, ChengXiang Zhai

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 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

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Learning Hostname Preference to Enhance Search Relevance.

Jingjing Wang, Changsung Kang, Yi Chang, Jiawei Han

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Learning to Rewrite Queries.

Yunlong He, Jiliang Tang, Hua Ouyang, Changsung Kang, Dawei Yin, Yi Chang

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Learning to rank related entities in Web search.

Changsung Kang, Dawei Yin, Ruiqiang Zhang, Nicolas Torzec, Jianzhang He, Yi Chang

Neurocomputing, 2015

2014

A hierarchical Dirichlet model for taxonomy expansion for search engines.

Jingjing Wang, Changsung Kang, Yi Chang, Jiawei Han

Proceedings of the 23rd International World Wide Web Conference, 2014

2012

Learning to rank with multi-aspect relevance for vertical search.

Changsung Kang, Xuanhui Wang, Yi Chang, Belle L. Tseng

Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Predicting primary categories of business listings for local search.

Changsung Kang, Jeehaeng Lee, Yi Chang

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Modeling Perceived Relevance for Tail Queries without Click-Through Data

Changsung Kang, Xiaotong Lin, Xuanhui Wang, Yi Chang, Belle L. Tseng

CoRR, 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

Proceedings of the 20th International Conference on World Wide Web, 2011

Learning to re-rank web search results with multiple pairwise features.

Changsung Kang, Xuanhui Wang, Jiang Chen, Ciya Liao, Yi Chang, Belle L. Tseng, Zhaohui Zheng

Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

2009

Markov Properties for Linear Causal Models with Correlated Errors.

Changsung Kang, Jin Tian

J. Mach. Learn. Res., 2009

2007

Polynomial Constraints in Causal Bayesian Networks.

Changsung Kang, Jin Tian

Proceedings of the UAI 2007, 2007

2006

Inequality Constraints in Causal Models with Hidden Variables.

Changsung Kang, Jin Tian

Proceedings of the UAI '06, 2006

A Hybrid Generative/Discriminative Bayesian Classifier.

Changsung Kang, Jin Tian

Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 2006

A Characterization of Interventional Distributions in Semi-Markovian Causal Models.

Jin Tian, Changsung Kang, Judea Pearl

Proceedings of the Proceedings, 2006

2005

Local Markov Property for Models Satisfying Composition Axiom.

Changsung Kang, Jin Tian

Proceedings of the UAI '05, 2005