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2020 – today
- 2024
[i6]Xuyang Wu, Ajit Puthenputhussery, Hongwei Shang, Changsung Kang, Yi Fang:
Meta Learning to Rank for Sparsely Supervised Queries. CoRR abs/2409.19548 (2024)- 2023
- [c16]Hongwei Shang, Jean-Marc Langlois, Kostas Tsioutsiouliklis, Changsung Kang:
Precision/Recall on Imbalanced Test Data. AISTATS 2023: 9879-9891 - 2022
- [c15]Changsung Kang, Hongwei Shang, Jean-Marc Langlois:
Classifying Emails into Human vs Machine Category. AAAI 2022: 7069-7077 - 2021
- [i5]Changsung Kang, Hongwei Shang, Jean-Marc Langlois:
Classifying Emails into Human vs Machine Category. CoRR abs/2112.07742 (2021)
2010 – 2019
- 2017
- [j3]Yuening Hu, Changsung Kang, Jiliang Tang, Dawei Yin, Yi Chang
:
Large-Scale Location Prediction for Web Pages. IEEE Trans. Knowl. Data Eng. 29(9): 1902-1915 (2017) - 2016
- [c14]Yunlong He, Jiliang Tang, Hua Ouyang, Changsung Kang, Dawei Yin, Yi Chang:
Learning to Rewrite Queries. CIKM 2016: 1443-1452 - [c13]Jingjing Wang, Changsung Kang, Yi Chang, Jiawei Han:
Learning Hostname Preference to Enhance Search Relevance. IJCAI 2016: 3903-3909 - [c12]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:
Ranking Relevance in Yahoo Search. KDD 2016: 323-332 - [c11]Shan Jiang, Yuening Hu, Changsung Kang, Tim Daly Jr., Dawei Yin, Yi Chang, ChengXiang Zhai:
Learning Query and Document Relevance from a Web-scale Click Graph. SIGIR 2016: 185-194 - 2015
- [j2]Changsung Kang, Dawei Yin, Ruiqiang Zhang, Nicolas Torzec, Jianzhang He, Yi Chang:
Learning to rank related entities in Web search. Neurocomputing 166: 309-318 (2015) - 2014
- [c10]Jingjing Wang, Changsung Kang, Yi Chang, Jiawei Han:
A hierarchical Dirichlet model for taxonomy expansion for search engines. WWW 2014: 961-970 - 2012
- [c9]Changsung Kang, Jeehaeng Lee, Yi Chang:
Predicting primary categories of business listings for local search. CIKM 2012: 2591-2594 - [c8]Changsung Kang, Xuanhui Wang, Yi Chang, Belle L. Tseng:
Learning to rank with multi-aspect relevance for vertical search. WSDM 2012: 453-462 - [i4]Changsung Kang, Jin Tian:
Polynomial Constraints in Causal Bayesian Networks. CoRR abs/1206.5275 (2012) - [i3]Changsung Kang, Jin Tian:
Inequality Constraints in Causal Models with Hidden Variables. CoRR abs/1206.6829 (2012) - [i2]Changsung Kang, Jin Tian:
Local Markov Property for Models Satisfying Composition Axiom. CoRR abs/1207.1378 (2012) - 2011
- [c7]Changsung Kang, Xuanhui Wang, Jiang Chen, Ciya Liao, Yi Chang, Belle L. Tseng, Zhaohui Zheng:
Learning to re-rank web search results with multiple pairwise features. WSDM 2011: 735-744 - [c6]Changsung Kang, Srinivas Vadrevu, Ruiqiang Zhang, Roelof van Zwol, Lluis Garcia Pueyo, Nicolas Torzec, Jianzhang He, Yi Chang:
Ranking related entities for web search queries. WWW (Companion Volume) 2011: 67-68 - [i1]Changsung Kang, Xiaotong Lin, Xuanhui Wang, Yi Chang, Belle L. Tseng:
Modeling Perceived Relevance for Tail Queries without Click-Through Data. CoRR abs/1110.1112 (2011)
2000 – 2009
- 2009
- [j1]Changsung Kang, Jin Tian:
Markov Properties for Linear Causal Models with Correlated Errors. J. Mach. Learn. Res. 10: 41-70 (2009) - 2007
- [c5]Changsung Kang, Jin Tian:
Polynomial Constraints in Causal Bayesian Networks. UAI 2007: 200-208 - 2006
- [c4]Jin Tian, Changsung Kang, Judea Pearl:
A Characterization of Interventional Distributions in Semi-Markovian Causal Models. AAAI 2006: 1239-1244 - [c3]Changsung Kang, Jin Tian:
A Hybrid Generative/Discriminative Bayesian Classifier. FLAIRS 2006: 562-567 - [c2]Changsung Kang, Jin Tian:
Inequality Constraints in Causal Models with Hidden Variables. UAI 2006 - 2005
- [c1]Changsung Kang, Jin Tian:
Local Markov Property for Models Satisfying Composition Axiom. UAI 2005: 284-291
Coauthor Index
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