基本情況
學習工作經(jīng)歷
2007. 9 ~ 2012. 9博士研究生, 計算機科學專業(yè),浙江大學
2003. 9 ~ 2007. 7本科生,環(huán)境科學專業(yè), 武漢大學
2015. 1 ~ 今副教授,軟件工程國家重點實驗室, 計算機學院, 武漢大學
2014. 7 ~ 2015. 1講師, 軟件工程國家重點實驗室, 計算機學院, 武漢大學
海外研究經(jīng)歷
2014. 4 ~ 2014. 7研發(fā)科學家, Causeway Link公交集團公司新加坡總部
2013. 4 ~ 2014. 4研究員, 計算機學院,新加坡國立大學
2012. 5 ~ 2012. 8助理研究員, 計算機學院, 新加坡國立大學
主要研究方向和成果
研究方向
大數(shù)據(jù)管理和分析、數(shù)據(jù)挖掘、智能信息系統(tǒng)
學術成果
期刊論文
J1. Zhenguang Liu, Kevin Chiew, Qinming He, Hao Huang, and Butian Huang. Prior-free Rare Category Detection: More Effective and Efficient Solutions. Expert Systems withApplications(ESWA), 2014, 41(17): 7691u20137706. (浙江大學推薦Top期刊, SCI, 2012年影響因子=1.854, 5年影響因子=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): 5689u20135710. (浙江大學推薦Top期刊, SCI, 2012年影響因子=1.854, 5年影響因子=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): 4197u20134210. (浙江大學推薦Top期刊, SCI, 2012年影響因子=1.854, 5年影響因子=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): 713u2013736. (中國計算機協(xié)會推薦B類期刊, SCI, 2011年影響因子=2.225, 5年影響因子=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): 183u2013203. (中國計算機協(xié)會推薦C類期刊, SCI, 2012年影響因子=0.833, 5年影響因子=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): 485u2013505. (中國計算機協(xié)會推薦C類期刊, SCI, 2012年影響因子=0.833, 5年影響因子=0.943)
J7. 黃浩, 何欽銘, 陳奇, 錢烽, 何江峰, 馬連航. 基于加權邊界度的稀有類檢測算法.軟件學報, 2012, 23(5): 1195u20131206. (一級學報, EI)
會議論文
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 (DASFAAu201915), pages 37u201354, 2015. (中國計算機協(xié)會推薦B類會議, 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 (ICDEu201914), pages 28u201339, 2014. (中國計算機協(xié)會推薦A類會議, 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 (PAKDDu201914), LNCS 8444, pages 498u2013509, 2014. (中國計算機協(xié)會推薦C類會議, EI)
C4. Qingyang Hu, Qinming He, Hao Huang, Kevin Chiew, and Zhenguang Liu. Learning from Crowds under Expertsu2019 Supervision. In Proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDDu201914), LNAI 8443, pages 200u2013211, 2014. (中國計算機協(xié)會推薦C類會議, 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 (SDMu201914), pages 857u2013865, 2014. (中國計算機協(xié)會推薦B類會議, 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 (SIGIRu201913), pages 865u2013868, 2013. (中國計算機協(xié)會推薦A類會議, 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 (SIGIRu201913), pages 985u2013988, 2013. (中國計算機協(xié)會推薦A類會議, 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 (DaWaKu201913), LNCS 8057, pages 297u2013308, 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 (PAKDDu201913), LNAI 7818, pages 174u2013186, 2013. (中國計算機協(xié)會推薦C類會議, 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 (PAKDDu201911), LNAI 6635, pages 258u2013269, 2011. (2011年中國計算機協(xié)會推薦B類會議, 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 (ISKEu201910), pages 224u2013227, 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 (ISKEu201910), pages 218u2013223, 2010. (EI)
