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Changsung Kang

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2010 – today

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2017
[j3]
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  - journals/tkde/HuKTYC17
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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]
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  - conf/cikm/HeTOKYC16
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Yunlong He, Jiliang Tang, Hua Ouyang, Changsung Kang, Dawei Yin, Yi Chang:
Learning to Rewrite Queries. CIKM 2016: 1443-1452
[c13]
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  - conf/ijcai/WangKCH16
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Jingjing Wang, Changsung Kang, Yi Chang, Jiawei Han:
Learning Hostname Preference to Enhance Search Relevance. IJCAI 2016: 3903-3909
[c12]
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  - conf/kdd/YinHTDZOCKDNLC16
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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]
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  - conf/sigir/JiangHKDYCZ16
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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]
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  - journals/ijon/KangYZTHC15
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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]
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  - conf/www/WangKCH14
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Jingjing Wang, Changsung Kang, Yi Chang, Jiawei Han:
A hierarchical Dirichlet model for taxonomy expansion for search engines. WWW 2014: 961-970
2012
[c9]
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  - conf/cikm/KangLC12
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Changsung Kang, Jeehaeng Lee, Yi Chang:
Predicting primary categories of business listings for local search. CIKM 2012: 2591-2594
[c8]
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  - conf/wsdm/KangWCT12
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Changsung Kang, Xuanhui Wang, Yi Chang, Belle L. Tseng:
Learning to rank with multi-aspect relevance for vertical search. WSDM 2012: 453-462
[i4]
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  - journals/corr/abs-1206-5275
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Changsung Kang, Jin Tian:
Polynomial Constraints in Causal Bayesian Networks. CoRR abs/1206.5275 (2012)
[i3]
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  - journals/corr/KangT12
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Changsung Kang, Jin Tian:
Inequality Constraints in Causal Models with Hidden Variables. CoRR abs/1206.6829 (2012)
[i2]
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  - journals/corr/abs-1207-1378
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Changsung Kang, Jin Tian:
Local Markov Property for Models Satisfying Composition Axiom. CoRR abs/1207.1378 (2012)
2011
[c7]
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  - conf/wsdm/KangWCLCTZ11
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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]
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  - conf/www/KangVZZPTHC11
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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]
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  - journals/corr/abs-1110-1112
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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

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2009
[j1]
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  - journals/jmlr/KangT09
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Changsung Kang, Jin Tian:
Markov Properties for Linear Causal Models with Correlated Errors. Journal of Machine Learning Research 10: 41-70 (2009)
2007
[c5]
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  - conf/uai/KangT07
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Changsung Kang, Jin Tian:
Polynomial Constraints in Causal Bayesian Networks. UAI 2007: 200-208
2006
[c4]
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  - conf/aaai/TianKP06
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Jin Tian, Changsung Kang, Judea Pearl:
A Characterization of Interventional Distributions in Semi-Markovian Causal Models. AAAI 2006: 1239-1244
[c3]
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  - conf/flairs/KangT06
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Changsung Kang, Jin Tian:
A Hybrid Generative/Discriminative Bayesian Classifier. FLAIRS Conference 2006: 562-567
[c2]
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Changsung Kang, Jin Tian:
Inequality Constraints in Causal Models with Hidden Variables. UAI 2006
2005
[c1]
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Changsung Kang, Jin Tian:
Local Markov Property for Models Satisfying Composition Axiom. UAI 2005: 284-291

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