컴퓨터·AI공학과
AI시대를 선도하는 글로벌 수준 융합형 컴퓨터·AI 전문가 양성
컴퓨터, 인공지능(AI), 빅데이터/데이터과학, 클라우드, AIoT(지능형사물)에 이르는 5가지 성장 로드맵을 통해
실무와 이론을 겸비한 미래사회 핵심 IT 인재로 성장! 컴퓨터·AI공학과와 함께하는 여러분의 미래 모습입니다.
AI시대를 선도하는 글로벌 수준 융합형 컴퓨터·AI 전문가 양성
컴퓨터, 인공지능(AI), 빅데이터/데이터과학, 클라우드, AIoT(지능형사물)에 이르는 5가지 성장 로드맵을 통해
실무와 이론을 겸비한 미래사회 핵심 IT 인재로 성장! 컴퓨터·AI공학과와 함께하는 여러분의 미래 모습입니다.
학력 |
학사 : 부산대학교(컴퓨터공학) 석사 : 부산대학교(컴퓨터공학) 박사 : Iowa State University(Computer Science)
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경력 |
현) Walmart Global Tech, Sr. Manager of Data Science Verizon Media Research Director(Yahoo Research Principal Research Scientist) Yaoo Research Principal Research Scientist Iowa State University Research Assistant |
논문 및 실적 |
[Journal Papers] 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). Changsung Kang, Jeehaeng Lee, Roi Blanco, Yi Chang. Predicting primary categories of business listings for local search ranking. Neurocomputing 168: 961-969 (2015). 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). C. Kang, B. Shipley, A Correction Note on ""A New Inferential Test for Path Models Based on Directed Acyclic Graphs"", Structural Equation Modeling, 16:537{538, 2009. C. Kang, J. Tian, Markov Properties for Linear Causal Models with Correlated Errors, Journal of Machine Learning Research, 10:41{70, 2009. [Conference Papers] Yunlong He, Jiliang Tang, Hua Ouyang, Changsung Kang, Dawei Yin and Yi Chang. Learning to Rewrite Queries. CIKM 2016. 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 [Best Paper Award]. Shan Jiang, Yuening Hu, Changsung Kang, Tim Daly, Dawei Yin, Yi Chang. Learning Query and Document Relevance from a Web-scale Click Graph. SIGIR 2016. Jingjing Wang, Changsung Kang, Yi Chang, Jiawei Han. Learning Hostname Preference to Enhance Search Relevance. IJCAI 2016. J. Wang, C. Kang, Y. Chang, J. Han, A Hierarchical Dirichlet Model for Taxonomy Expansion for Search Engines. To appear in Proceedings of the World Wide Web Conference (WWW), 2014. C. Kang, J. Lee, Y. Chang, Predicting Primary Categories of Business Listings for Local Search. In Proceedings of 21st ACM International Conference on Information and Knowledge Management (CIKM), 2012. C. Kang, X. Wang, Y. Chang, B. Tseng, Learning to Rank with Multi-Aspect Relevance for Vertical Search. In Proceedings of 4th ACM International Conference on Web Search and Data Mining (WSDM), 2012. C. Kang, S. Vadrevu, R. Zhang, R. Zwol, L. Garcia, N. Torzec, J. He, Y. Chang, Ranking Related Entities for Web Search Queries, In Proceedings of the World Wide Web Conference (WWW), 2011. C. Kang, X. Wang, J. Chen, C. Liao, B. Tseng, Y. Chang, Z. Zheng, Learning to Re-rank Web Search Results with Multiple Pairwise Features. In Proceedings of 4th ACM International Conference on Web Search and Data Mining (WSDM), 2011. C. Kang, J. Tian, Polynomial Constraints in Causal Bayesian Networks, In Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI), 2007. J. Tian, C. Kang, J. Pearl, A Characterization of Interventional Distributions in Semi-Markovian Causal Models, In Proceedings of the National Conference on Artificial Intelligence (AAAI), 2006. C. Kang, J. Tian, Inequality Constraints in Causal Models with Hidden Variables, In Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI), 2006. C. Kang, J. Tian, A Hybrid Generative/Discriminative Bayesian Classifier, In Proceedings of the 19th International FLAIRS Conference, 2006. C. Kang, J. Tian, Local Markov Property for Models Satisfying Composition Axiom, In Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI), 2005. J. Hwang, C.S. Kang, K.R. Ryu, Y. Han, H.R. Choi, A Hybrid of Tabu Search and Integer Programming for Subway Crew Pairing Optimization, In Proceedings of the 6th IASTED International Conference Artificial Intelligence & Soft Computing (ASC), 2002. |