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个人简介

个人简介 现为南开大学软件学院教授,硕士生导师;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)。本人分别在南开大学自动控制专业和计算机应用技术专业获得学士和博士学位。近年来,从事人工智能(机器学习)、生物信息、光谱信息处理、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)、基于光谱数据和深度学习的大气污染组分检测等软件系统。获得发明专利1项,发表论文40余篇。 科研项目 [1] 高灵敏度荧光探测系统研究(组分及浓度预测软件),2018~2023,国家重点研发计划课题四子课题 [主持] [2] 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] [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] Entity Search based on Text Mining, 2006--2008, 微软亚洲研究院合作项目 [参与] [9] Research on Feasibility of Content Leakage Detection 2006.7--2006.9 Supported by Hitachi Software Co. [主持] [10] Research on Information Leakage Detection Based on Data Mining 2005.8--2006.4 Supported by Hitachi Software Co. [主持] [11] 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] [12] 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] [13] 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] [14] 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] [15] 基于数据挖掘的银行信用卡信息分析 横向合作课题 [参与] [16] Visual Studio.NET 2008中文示例开发 2007.9-2008.4 Microsoft STB International CPE Team. [主持] [17] Silverlight 示例开发项目 2008.06-2008.11 微软(中国)有限公司 [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] 获奖情况 2021年获南开大学-华为“智能基座”产教融合协同育人基地奖教金 2020年获华为云与计算先锋教师 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 2013年获南开大学第五届“良师益友”提名奖 2003年获微软最有价值专家(Microsoft MVP)称号 讲授课程 《机器学习导论》、《科研素质训练》、《高级编程语言实训1》

研究领域

人工智能(机器学习)、生物信息、信息检索

近期论文

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2021年 [1]. Xu Jin#, MingMing Liu#, WenQian He, Lin Wang, Ling Ma, YaLou Huang, and MaoQiang Xie*. Prioritizing Disease Genes via Multi-View Nonnegative Matrix Factorization with Layer-Wise Explicit Hierarchical Constraint. IEEE International Conference on Bioinformatics and Biomedicine 2021 (BIBM 2021). (CCF-B会议) [2]. Lin Wang#, MingMing Liu#, Xu Jin, WenQian He, MaoQiang Xie* and YaLou Huang. A Hierarchical Structure-Aware Embedding Method for Predicting Phenotype-Gene Associations. The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Delhi, India. May 11-14, 2021. (CCF-C会议) [3]. 职辰好#,高亚敏#,向钰言,张智,尚滨鹏,郭杰伟,谢茂强*,刘明铭*,张楠,孙陆,刘伟伟. 光谱预处理对FIFS检测低浓度NaCl气溶胶的影响研究. 《激光与光电子学进展》(已接收) [4]. Lei Tao, Ling Ma*, Maoqiang Xie, Xiabi Liu, Zhiqiang Tian, Baowei Fei. Automatic Segmentation of the Prostate on MR Images based on Anatomy. SPIE Medical Imaging, 2021. 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. [2]. Fan Huang, Mingming Liu, Maoqiang Xie, Weiwei Liu, Lu Sun. A combined study on the skeletal vibration of aminopyrine by terahertz time-domain spectroscopy and DFT simulation. Optik. 208:163913. 2020. (SCI) [3]. 孙鑫蕾, 刘刚, 王晶, 董长哲, 赵星, 肖流长, 刘明铭, 赵润翰, 张楠*, 谢茂强, 林列, 刘永基, 刘伟伟. 基于机器学习的大面积拼接镜倾斜误差探测. 光电子激光. (4):380~387. 2020 [4]. Xu Jin#, MingMing Liu#, Lin Wang, WenQian He, YaLou Huang and MaoQiang Xie*, Multi-Resolutional Collaborative Heterogeneous Graph Convolutional Auto-Encoder for Drug-Target Interaction Prediction. 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Seoul, Korea (South), pp. 150-153. 2020. (CCF-B会议) 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): e0125138. 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期刊) [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.

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