谢茂强
所属部门: 软件工程系
办公电话:
电子邮件: xiemq@nankai.edu.cn
行政职务: 副院长
职 称: 教授
学 历: 博士
所学专业: 计算机应用技术
研究方向: 人工智能（机器学习）、生物信息、软件工程




个人简介
现为南开大学软件学院教授，博士生导师；南开大学软件学院党总支委员、副院长（分管本科教学、本科实验教学）。
本人于2001年获得南开大学自动控制专业学士学位，2006年获得南开大学计算机应用技术专业博士学位，2004年留校任教。
近年来，从事数据挖掘、机器学习、生物信息和信息检索方面的研究。相关研究获国家自然科学基金、天津市自然科学基金的资助。并与微软公司、搜狐视频、日立软件等公司进行横向合作。设计开发RoboMiner数据挖掘系统、全基因组致病基因预测（与明尼苏达大学合作开发）等软件系统。获得发明专利1项，发表论文40余篇。


科研项目、成果、获奖、专利等情况
[1] 面向药物-靶蛋白关联分析的大规模网络数据挖掘研究，2018~2021，天津市自然科学基金（面上）[主持]
[2] 高灵敏度荧光探测系统研究，2018~2022，国家重点研发计划子课题[参与]
[3] 基于集成异构网络的表型-基因关联挖掘研究，2014~2016，国家自然科学基金（青年）[主持]

[4] 搜狐视频个性化推荐系统召回模型和配比研究，2016~2017，搜狐视频，[主持]

[5] 面向多异构信息网络的数据挖掘研究，2012-2014，中国民航信息技术科研基地开放基金 [主持]

[6] 基于机器学习和语义知识的实体搜索关键问题研究, 2010.6--2012.5, 中央高校基本业务科研专项资金 [主持]
[7] 信息检索中基于损失函数优化的排序学习研究 2007.1-2009.12 国家自然科学基金 [参与]
[8] 数据挖掘可继承性理论方法研究 2003.1--2005.12 教育部科学技术研究重点项目 [参与]
[9] Entity Search based on Text Mining, 2006--2008, 微软亚洲研究院合作项目 [参与]
[10] 基于中间件的数据挖掘企业应用平台及相关技术研究 2005.4-2007.12 天津市科技攻关计划重点科技攻关专项项目 [参与]
[11] 数据库知识发现系统开发 2000.6--2002.12 天津市自然科学基金 [参与]
[12] 基于数据挖掘的银行信用卡信息分析 横向合作课题 [参与]
[13] 知识描述体系与发现方法研究 2004.6-2006.12 南开大学亚洲研究中心项目 [参与]
[14] Visual Studio.NET 2008中文示例开发 2007.9-2008.4 Microsoft STB International CPE Team. [主持]
[15] Silverlight 示例开发项目 2008.06-2008.11 微软（中国）有限公司 [主持]
[16] Research on Information Leakage Detection Based on Data Mining 2005.8--2006.4 Supported Hitachi Software Co. [主持]
[17] Research on Feasibility of Content Leakage Detection 2006.7--2006.9 Supported Hitachi Software Co. [主持]
[18] .NET精品课程开发 2004.06-2005.08 微软精品课程支持计划 [主持]
2018年获天津市挑战杯优秀教师，指导项目获天津市挑战杯特等奖
2017年获南开大学百项一等奖


撰写论文、专著、教材等
--------2020年-----------
[1]. JiaHui Liu, Xu Jin, YuXiang Hong, Fan Liu, QiXiang Chen, YaLou Huang, MingMing Liu, MaoQiang Xie*, FengChi Sun*. Collaborative linear manifold learning for link prediction in heterogeneous networks. Information Sciences. 511:297-308. 2020.


--------2018年-----------
[1]. YaoGong Zhang, JiaHui Liu, XiaoHu Liu, Xin Fan, YuXiang Hong, Yuan Wang, Yalou Huang and Maoqiang Xie*. Prioritizing genes with an improved dual label propagation framework. BMC Bioinformatics. 19(1):pp.47. 2018.
[2]. Xin Fan, Yuxiang Hong, Xiaohu Liu, Yaogong Zhang, Maoqiang Xie*. Neighborhood Constraint Matrix Completion for Drug-Target Interaction Prediction. In 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Melbourne, Australia ,June 3rd - 6th, 2018.


--------2017年-----------
[1]. Shuai Han, Hong Cai, Dan Che, Yaogong Zhang, Yalou Huang, Maoqiang Xie*. Metrical Consistency NMF for Predicting Gene–Phenotype Associations. Interdisciplinary Sciences: Computational Life Sciences. 10(1):189-194. 2018[SCI]
[2]. Yaogong Zhang, Yuan Wang, Jiahui Liu, Yalou Huang and Maoqiang Xie*. Weighted Graph Constraint and Group Centric Non-negative Matrix Factorization for Gene-phenotype Association Prediction. IEEE Symposium on Computers and Communications(ISCC) 2017(01):943-950.


--------2015年-----------
[1]. MaoQiang Xie, YingJie Xu, YaoGong Zhang, TaeHyun Hwang, Rui Kuang. Network-based Phenome-Genome Association Prediction by Bi-Random Walk, PLoS ONE. 10(5): e**. 2015.
[2]. Yaogong Zhang, Jun Xu, Yanyan Lan, Jiafeng Guo, Maoqiang Xie, Yalou Huang, Xueqi Cheng. Modeling Parameter Interactions in Ranking SVM. CIKM 2015: 1799-1802(Short Paper)


--------2014年-----------
王扬 黄亚楼 卢敏 庞晓东 谢茂强 刘杰, 直接优化性能指标的多排序模型融合方法, 计算机学报, 37(8), 2014.


--------2013年-----------
Min Lu, YaLou Huang, MaoQiang Xie*, Jie Liu, Rank hash similarity for fast similarity search, Information Processing and Management, 49(1):158-168. 2013
Yang Wang, Yalou Huang, Xiaodong Pang, Min Lu, Maoqiang Xie, Jie Liu. Supervised rank aggregation based on query similarity for document retrieval. Soft Computing 17(3): 421-429 (2013)


--------2012年-----------
[1]. MaoQiang Xie, TaeHyun Hwang and Rui Kuang. Prioritizing Disease Genes by Bi-Random Walk., Proc. of Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 292-303, 2012-6. Kuala Lumpur, Malaysia.
[2]. Hwang, TaeHyun; Atluri, Gowtham; Xie, Maoqiang; Dey, Sanjoy; Hong, Changjin; Kumar, Vipin; Kuang, Rui, Co-clustering Phenome-genome for Phenotype Classification and Disease Gene Discovery, Nucleic Acids Res.2012 Oct;40(19):e146


--------2011年-----------
[1]. TaeHyun Hwang, Wei Zhang, Maoqiang Xie, Jinfeng Liu and Rui Kuang, Inferring disease and gene set associations with rank coherence in networks, Bioinformatics, 27(19):2692-2699. 2011
[2]. 王扬, 黄亚楼, 谢茂强, 刘杰, 卢敏, 廖振. 多查询相关的排序支持向量机融合算法. 计算机研究与发展, 48(4), 2011
[3]. Yang Wang, Xiaodong Pang, Min Lu, Maoqiang Xie, Jie Liu, and Yalou Huang. Multiple Query-dependent RankSVM Aggregation for Document Retrieval. In Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2011). Paris, France. April 11-15, 2011.
[4]. Wenxuan Shi, Maoqiang Xie, Yalou Huang. Cooperative Anti-Spam System Based On Multilayer Agents, WWW 2011 PhD Symposium. India.
[5]. Wenxuan Shi, Maoqiang Xie, Yalou Huang. Collaborative Spam Filtering Technique Based On MIME Fingerprints, WCICA, 2011, Taiwan.


--------2010年-----------
[1]. Min Lu, MaoQiang Xie, Yang Wang, Jie Liu and YaLou Huang. Cost-sensitive Listwise Ranking Approach, Proceedings of 14th PAKDD, India, 2010.
[2]. Min Lu, Maoqiang Xie, Yang Wang, Jie Liu, Yalou Huang: Order Preserved Cost-Sensitive Listwise Approach in Learning to Rank. AIRS. 2010: 203-210


--------2009年-----------
[1]. 谢茂强 黄亚楼 殷爱茹 江皞 李栋. 基于距离尺度学习的新类识别. 模式识别与人工智能. 22(1):47-52. 2009年2月.
[2]. Yang Wang, Yalou Huang, Maoqiang Xie, Jie Liu, Min Lu, Zhen Liao. A Query-Level Active Sampling Approach for Learning to Rank. In Proceedings of the 8th International Conference on Machine Learning and Cybernetics (ICMLC 2009). Baoding, China. July, 2009.
[3]. Zhen Liao, Yalou Huang, Maoqiang Xie, Jie Liu, Yang Wang, Min Lu. Ranking Query Influnce Weighting for Document Retrieval. In Proceedings of the 8th International Conference on Machine Learning and Cybernetics (ICMLC 2009). Baoding, China. July, 2009.
[4]. Zhen Liao, Maoqiang Xie, Hao Cao, Yalou Huang. A Probabilistic Ranking Approach for Tag Recommendation. To appear in Procedding of ECML workshop, Sept. 2009
[5]. Hao Cao, Maoqiang Xie, Lian Xue, Chunhua Liu, Fei Teng, Yalou Huang. Social Tag Prediction Base on Supervised Ranking Model. To appear in Procedding of ECML workshop, Sept. 2009


--------2008年-----------
[1]. Maoqiang Xie, Jinli Liu, Nan Zheng, Dong Li, Yalou Huang, Yang Wang: Semi-Supervised Graph-Ranking for Text Retrieval. Proceedings of 4th Asia Information Retrieval Symposium, 256-263. 2008-1.Dong Li, Maoqiang Xie, Yang Wang, Yalou Huang, Weijian Ni. Multiple Ranker Method in Document Retrieval. Proceedings of 2008 International Conference on Intelligent Computing. Shanghai, China. 2008-10. pp.407-414
[2]. Dong Li, Maoqiang Xie, Yang Wang, Yalou Huang, Weijian Ni. Multiple Ranker Method in Document Retrieval. Proceedings of 2008 International Conference on Intelligent Computing. Shanghai, China. 2008-10.(DBLP) pp.407-414
[3]. Jinli Liu, NanZheng, Maoqiang Xie, Yalou Huang. Unsupervised multi-graph propagation for ranking based on order change tendency. Proceedings of 7th International Conference of Machine Learning and Cybernetics 2008-8. (Candidate for Best Paper Award)
[4]. Weijian Ni, Yalou Huang and Maoqiang Xie. A Query Dependent Ranking Approach to Learning to Rank for Information Retrieval. Proceedings of 9th International Conference on Web-Age Information Management. 2008-7.
[5]. Dong Li, Weijian Ni, Maoqiang Xie, Yalou Huang and Yang Wang. An Ensemble Approach to Learning to Rank. Proceedings of 5th International Conference on Fuzzy System and Knowledge Discovery. Jinan, China. 2008-10


--------2006年-----------
[1]. 谢茂强、黄亚楼，适应类别增量的决策树训练算法，《计算机工程》，32(17):41-43,2006年9月(EI: )
[2]. Maoqiang Xie, Hao Jiang, Yalou Huang and Yang Sun. New Class Recognition based on Support Vector Data Description, Proceedings of 5th International Conference of Machine Learning and Cybernetics 2006, Vol.2, pp.1149-1152. 2006-8.
讲授课程
《机器学习及应用》