期刊论文

J1.    Zhenguang Liu, Kevin Chiew, Qinming He, Hao Huang, and Butian Huang. Prior-free Rare Category Detection: More Effective and Efficient Solutions. Expert Systems with Applications (ESWA), 2014, 41(17): 7691–7706. (浙江大学推荐Top期刊, SCI, 2012年影响因子=1.854, 5年影响因子=2.339)

J2.    Hao Huang, Yunjun Gao, Kevin Chiew, Qinming He, and Baihua Zheng. Unsupervised Analysis of Top-k Core Members in Poly-Relational Networks. Expert Systems with Applications (ESWA), 2014, 41(13): 5689–5710. (浙江大学推荐Top期刊, SCI, 2012年影响因子=1.854, 5年影响因子=2.339)

J3.    Hao Huang, Kevin Chiew, Yunjun Gao, Qinming He, and Qing Li. Rare Category Exploration. Expert Systems with Applications (ESWA), 2014, 41(9): 4197–4210. (浙江大学推荐Top期刊, SCI, 2012年影响因子=1.854, 5年影响因子=2.339)

J4.    Hao Huang, Qinming He, Kevin Chiew, Feng Qian, and Lianhang Ma. CLOVER: A Faster Prior-Free Approach to Rare-Category Detection. Knowledge and Information Systems (KIS), 2013, 35(3): 713–736. (中国计算机协会推荐B期刊, SCI, 2011年影响因子=2.225, 5年影响因子=2.151)

J5.    Lianhang Ma, Hao Huang, Qinming He, Kevin Chiew, and Zhenguang Liu. Towards Seed-Insensitive Solutions to Local Community Detection. Journal of Intelligent Information Systems (JIIS) , 2014, 43(1): 183–203. (中国计算机协会推荐C期刊, SCI, 2012年影响因子=0.833, 5年影响因子=0.943)

J6.    Feng Qian, Kevin Chiew, Qinming He, and Hao Huang. Mining Regional Co-Location Patterns with kNNG. Journal of Intelligent Information Systems (JIIS), 2014, 42(3): 485–505. (中国计算机协会推荐C期刊, SCI, 2012年影响因子=0.833, 5年影响因子=0.943)

J7.    黄浩, 何钦铭, 陈奇, 钱烽, 何江峰, 马连航. 基于加权边界度的稀有类检测算法. 软件学报, 2012, 23(5): 1195–1206. (一级学报, EI)

 

会议论文

C1.  Zhenguang Liu, Hao Huang, Qinming He, Kevin Chiew, and Yunjun Gao. Rare Category Exploration on Linear Time Complexity. In Proceedings of the 20th International Conference on Database Systems for Advanced Applications (DASFAA’15), pages 37–54, 2015. (中国计算机协会推荐B会议, EI)

C2.  Hao Huang, Yunjun Gao, Kevin Chiew, Lei Chen, and Qinming He. Towards Effective and Efficient Mining of Arbitrary Shaped Clusters. In Proceedings of the 30th IEEE International Conference on Data Engineering (ICDE’14), pages 28–39, 2014. (中国计算机协会推荐A会议, EI)

C3.  Zhenguang Liu, Hao Huang, Qinming He, Kevin Chiew, and Lianghang Ma. Rare Category Detection on O(dN) Time Complexity. In Proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD’14), LNCS 8444, pages 498–509, 2014. (中国计算机协会推荐C会议, EI)

C4.  Qingyang Hu, Qinming He, Hao Huang, Kevin Chiew, and Zhenguang Liu. Learning from Crowds under Experts’ Supervision. In Proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD’14), LNAI 8443, pages 200–211, 2014. (中国计算机协会推荐C会议, EI)

C5.  Qingyang Hu, Kevin Chiew, Hao Huang, and Qinming He. Recovering Missing Labels of Crowdsourcing Workers. In Proceedings of the 2014 SIAM International Conference on Data Mining (SDM’14), pages 857–865, 2014. (中国计算机协会推荐B会议, EI)

C6.  Hao Huang, Yunjun Gao, Lu Chen, Rui Li, Kevin Chiew, and Qinming He. Browse with a Social Web Directory. In Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’13), pages 865–868, 2013. (中国计算机协会推荐A会议, EI)

C7.  Hao Huang, Yunjun Gao, Kevin Chiew, Qinming He, and Lu Chen. Commodity Query by Snapping. In Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’13), pages 985–988, 2013. (中国计算机协会推荐A会议, EI)

C8.  Lianhang Ma, Hao Huang, Qinming He, Kevin Chiew, Jianan Wu, and Yanzhe Che. GMAC: A Seed-Insensitive Approach to Local Community Detection. In Proceedings of the 15th International Conference on Data Warehousing and Knowledge Discovery (DaWaK’13), LNCS 8057, pages 297–308, 2013. (EI)

C9.  Feng Qian, Kevin Chiew, Qinming He, Hao Huang, and Lianhang Ma. Discovery of Regional Co-Location Patterns with k-Nearest Neighbor Graph. In Proceedings of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD’13), LNAI 7818, pages 174–186, 2013. (中国计算机协会推荐C会议, EI)

C10. Hao Huang, Qinming He, Jiangfeng He, and Lianhang Ma. RADAR: Rare Category Detection via Computation of Boundary Degree. In Proceedings of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD’11), LNAI 6635, pages 258–269, 2011. (2011年中国计算机协会推荐B会议, EI)

C11. Hao Huang, Shuoping Wang, and Lianhang Ma. An Enhanced Category Detection Based on Active Learning. In Proceedings of the 2010 International Conference on Intelligent Systems and Knowledge Engineering (ISKE’10), pages 224–227, 2010. (EI)

C12. Lianhang Ma, Yefang Chen, and Hao Huang. AK-Modes: A weighted clustering algorithm for finding similar case subsets. In Proceedings of the 2010 International Conference on Intelligent Systems and Knowledge Engineering (ISKE’10), pages 218–223, 2010. (EI)