武浩 副教授

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硕士生导师，云南大学信息学院计算机科学与工程系。
联系方式：haowu@ynu.edu.cn
地址：云南大学呈贡校区信息学院1422




个人简介 武浩，2007年6月博士毕业于华中科技大学计算机系统结构专业，2007年8月入职云南大学信息学院。先后入选云南大学“中青年骨干教师”培养计划、云南大学“青年英才“培育计划、“云南省中青年学术与技术带头人后备人才”培养计划、云南省高层次人才培养支持计划“青年拔尖人才”专项，云南大学“海量数据分析与服务”创新团队核心成员。主要从事Web信息处理、社会媒体分析与服务、服务计算等方面的研究。近年来主持和参与国家自然科学基金等10余项课题。在TPDS、TNNLS、TSC、NeuNet、WWWJ、FGCS、KBS、JASIST、Scientometrics、PUC、JSC、FCS、JCST、ICWS、DASFAA、GPC和SAC等领域期刊和会议上发表论文100余篇, SCI收录30余篇、EI收录50余篇, WOS引用250+、Google Scholar引用900+。授权发明专利6项, 获得计算机软件著作权登记6项。获云南省自然科学二等奖1项。担任国际学术会议AC、IMMM、ENC、DSAA等程序委员会委员, 国际刊物ACM TKDD、IEEE TKDE、IEEE TNNLS、IEEE TSC、IEEE TBD、IEEE TCC、IEEE TNSE、FGCS、JSS、KBS、Neural Networks、NeuroComputing、Journal of Supercomputing、AppliedIntelligence、PLOS One、IEEE Access等二十余种期刊审稿人。
科研项目
? 国家自然科学基金项目（**）、2020/1-2023/12、主持。
? 国家自然科学基金项目（**）、2016/1-2019/12、主持。
? 云南大学“青年英才培育计划”项目, 2019/7-2023/6、主持。
? 云南省高层次人才培养支持计划“青年拔尖人才”专项，2020/1-2024/12、主持。
? “云南省中青年学术与技术带头人后备人才”培养计划项目（202005AC160005），2020/1-2024/12、主持。
? 中国博士后科学基金面上项目（2016M592721），2016/5-2018.12、主持，
? 云南省应用基础研究计划面上项目（2013FB009）、2013/10-2016/10、主持。
? 云南大学第五批“中青年骨干教师培养计划”项目, 2014/6-2017/5、主持。
? 云南大学创新团队“海量数据分析与服务”培育计划, XT412011, 2014/10-2017/9、核心成员。
? 国家自然科学基金项目（**）、 2016/01-2019/12、参加。
? 云南省应用基础研究计划重点项目（2014FA023）、2014/10-2017/9、参加。
? 云南省科技计划重点项目（2009cc027）、2009/12-2012/12、参加。
?云南省教育厅基金项目（09Y0035）、2009/11-2011/9、主持。

科研论文 2 Xin Wang,Xiao Liu, Hao Wu(*), et al. Jointly Learning Invocations and Descriptions for Context-aware Mashup Tagging with Graph Attention Network. World Wide Web:Internet and Web Information Systems,2021, Under Review. (中国计算机学会推荐B类刊物)
2Jiahui Li,HaoWu(*),Jiapei Chen, et al.Topology-Aware Neural Model for Highly Accurate QoS Prediction. IEEE Transactions on Parallel and Distributed Systems,2021, DOI: 10.1109/TPDS.2021.**.(IF 2.687,中国计算机学会推荐A类刊物)
2 Hao Wu, Yunhao Duan, Kun Yue, et al. Mashup-Oriented Web API Recommendation via Multi-Model Fusion and Multi-Task Learning. IEEE Transactions on Services Computing,2021,DOI:10.1109/TSC.2021.**.(IF 8.216,中科院JCR 2区,中国计算机学会推荐B类刊物)
2 Hao Wu,Shaowei Qin,Rencan Nie,et al.Effective Collaborative Representation Learning for Multilabel Text Categorization. IEEE Transactions onNeural Networksand Learning Systems, 2021,DOI: 10.1109/TNNLS.2021.**.(IF 10.451,中科院JCR 1区, 中国计算机学会推荐B类刊物)
2 Hao Wu, Zhengxin Zhang, Jiacheng Luo, et al.Multiple Attributes QoS Prediction via Deep Neural Model with Contexts. IEEETransactionsonServices Computing, 2021, 14(4):1084-1096.(IF8.216,中科院JCR 2区,中国计算机学会推荐B类刊物)
2 Xin Wang, Xiao Liu, Jin Liu(*), Xiaomei Chen, Hao Wu(*).A novel knowledge graph embedding based API recommendation method for Mashup development. World Wide Web:Internet and Web Information Systems, 2021, 24: 869–894. (IF 2.892, 中国计算机学会推荐B类刊物)
2Yirong Kan, Kun Yue, Hao Wu, et al.Online Learning of Parameters for Modeling User Preference Based on Bayesian Network. International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems, 2021. (IF 1.518)
2Bo Li, Peng Hou, Hao Wu, Fen Hou. Optimal edge server deployment and allocation strategy in 5G ultra-dense networking environments. Pervasive Mob. Comput.,2021, 72: 101312. (IF 3.453,中国计算机学会推荐C类刊物)
2 Ching-Hsien Hsu, Kusuma Amilineni, Hao Wu, et al. A novel scalable network architecture for the evolution of robot swarm networks with dual connectivity application in control-data plane. Swarm and Evolutionary Computation, May 2021,64:100889(IF 6.91,中国计算机学会推荐C类刊物)
2 Wenbin Gao,Lei Zhang,Qi Teng,Hao Wu,et al.DanHAR: Dual Attention Network For Multimodal Human Activity Recognition Using Wearable Sensors.Applied Soft Computing, 2021,111:107728. (中科院JCR 1区,中国计算机学会推荐C类刊物)
2Xin Wang, Xiao Liu, Li Li, Xiao Chen, Jin Liu and Hao Wu.Time-aware User Modeling with Check-in Time Prediction for Next POI Recommendation Service.ICWS2021.(中国计算机学会推荐B类会议)
2Xin Wang, Pingyi Zhou, Yasheng Wang, Xiao Liu, Jin Liu and Hao Wu(*).ServiceBERT: A Pre-Trained Model for Web Service Tagging and Recommendation. ICSOC 2021.(中国计算机学会推荐B类会议)
2Xin Wang, Xiao Liu, Jin Liu and Hao Wu.Relational Graph Neural Network with Neighbor Interactions for Bundle Recommendation Service.ICWS2021.(中国计算机学会推荐B类会议)
2Zhongxue Li, Hao Wu, Xin Wang, Yiji Zhao, et al.Self-Gated Factorization Machines: Revisiting the Weight of Feature Interactions.2021, Under Review.(中国计算机学会推荐刊物)
2Li Xu, Jun Zeng, Hao Wu, Kun Yue, etal.Modeling and Predicting User Preferences with Multiple Item Attributes for Sequential Recommendations.2021, To be Submitted. (中国计算机学会推荐刊物)
2 Shaowei Qin,Hao Wu(*),Rencan Nie,Jun He. Deep model with neighborhood-awareness for text tagging. Knowledge-Based Systems, 2020, 196:105750(IF 5.921,中科院JCR 1区,中国计算机学会推荐C类刊物)
2 Kun Yue,Xinran Wu,Liang Duan,Shaojie Qiao,Hao Wu. A parallel and constraint induced approach to modeling user preference from rating data.Knowledge-Based Systems, 2020, 204:106206(IF 5.921,中科院JCR 1区,中国计算机学会推荐C类刊物)
2Hao Wu,Qimin Zhou,Rencan Nie, et al.Effective Metric Learning with Co-occurrence Embedding for Collaborative Recommendations. Neural Networks, 2020,124:308-318(IF 5.785, 中国计算机学会推荐B类刊物)
2Xin Wang,Jin Liu,Li Li,Xiao Chen,Xiao Liu,Hao Wu.Detecting and Explaining Self-Admitted Technical Debts with Attention-based Neural Networks.ASE2020:871-882.(中国计算机学会推荐A类会议)
2Xin Wang,Jin Liu,Xiao Liu,Xiaohui Cui,Hao Wu(*).A Novel Dual-Graph Convolutional Network based Web Service Classification Framework.ICWS2020:281-288.(中国计算机学会推荐B类会议)
2Xin Wang,Jin Liu,Xiao Liu,Xiaohui Cui,Hao Wu.A Spatial and Sequential Combined Method for Web Service Classification.APWeb/WAIM (1)2020:764-778.(中国计算机学会推荐C类会议)
2 Qimin Zhou, Hao Wu (*), Kun Yue, Ching-Hsien Hsu. Spatio-Temporal Context-Aware Collaborative QoS Prediction. Future Generation Computer Systems, 2019, 100(C):46-57. (IF 5.768，中科院 JCR 2区,中国计算机学会推荐C类刊物)
2 Xin Wang, Hao Wu (*), Ching-Hsien Hsu. Mashup-Oriented API Recommendation via Random Walk on Knowledge Graph. IEEE Access, 2019, 7:7651-7662. (IF 4.052，中科院 JCR 2区)
2HuaZhao,JingWang, QiminZhou, XinWang, Hao Wu(*).Web API Recommendation with Features Ensemble and Learning-to-Rank.CCF Conference on Big Data, BigData 2019,pp 406-419
2Qimin Zhou, Zhengxin Zhang, Hao Wu(*),Linmao Wang. ZQM at SemEval-2019 Task9: A Single Layer CNN Based on Pre-trained Model for Suggestion Mining. SemEval@NAACL-HLT 2019: 1287-1291
2 Hao Wu, Zhengxin Zhang, Kun Yue, Binbin Zhang, Jun He, Liangchen Sun. Dual-regularized matrix factorization with deep neural networks for recommender systems. Knowledge-Based Systems, 2018, 145(C):46-58. (IF 5.101，中科院 JCR 2区, 中国计算机学会推荐C类刊物,Google Citations 80+)
2 Jia Hao, Binbin Zhang, Kun Yue, Hao Wu, Jixian Zhang. Measuring performance degradation of virtual machines based on the Bayesian network with hidden variables. International Journal of Communication Systems,2018, 31(13):e3732. (IF 1.717)
2Qimin Zhou, Zhengxin zhang, Hao Wu. NLP at IEST 2018: BiLSTM-Attention and LSTM-Attention via Soft Voting in Emotion Classi?cation. In Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA@EMNLP 2018.
2Zhengxin Zhang, Qimin Zhou, Hao Wu. NLPZZX at SemEval-2018 Task 1: Using Ensemble Method for Emotion and Sentiment Intensity Determination. In Proceedings of The 12th International Workshop on Semantic Evaluation, SemEval@NAACL-HLT, New Orleans, Louisiana, June 5-6, 2018, pp.116-122.
2Hao Wu, Kun Yue, Bo Li, Binbin Zhang, Ching-Hsien Hsu. Collaborative QoS prediction with context-sensitive matrix factorization. Future Generation Computer Systems, 2017,82(C):669-678. (IF 5.768，中科院 JCR 2区,中国计算机学会推荐C类刊物,Google Citations60+).
2Bo Li, Yijian Pei, Hao Wu, Dijiang Huang. MADM-based smart parking guidance Algorithm. PLoS ONE, 2017, 12(12): e**. (IF 2.806)
2Weiyi Liu, Kun Yue, Hao Wu, Xiaodong Fu, Zhijian Zhang, Weipeng Huang. Markov-network based latent link analysis for community detection in social behavioral interactions. Applied Intelligence, 2017,(5915):1-16 (IF 3.997)
2 Hao Wu, Kun Yue, Ching-Hsien Hsu, Yiji Zhao, Binbin Zhang, Guoying Zhang. Deviation-based neighborhood model for context-aware QoS prediction of cloud and IoT services. Future Generation Computer Systems, 2017, 76 (C):550–560. (IF 5.768，中科院 JCR 2区,中国计算机学会推荐C类刊物).
2 Kun Yue,Hao Wu,Xiaodong Fu,Juan Xu,Zidu Yin,Weiyi Liu. A data-intensive approach for discovering user similarities in social behavioral interactions based on the Bayesian network. Neurocomputing, 2017,219:364-375. (IF 3.317,中国计算机学会推荐C类刊物)
2Hao Wu, Zhengxin Zhang, Kun Yue, Binbin Zhang, Ruichao Zhu. Content Embedding Regularized Matrix Factorization for Recommender Systems. In Proceedings of 2017 IEEE International Congress on Big Data (pp. 1–7). June 25 - June 30, 2017, Honolulu, Hawaii, USA: IEEE. (EI/ISTP)
2Hao Wu, Kun Yue, Yijian Pei, Yiji Zhao, Fan Dong. Collaborative Topic Regression with Social Trust Ensemble for Recommendation in Social Media Systems. Knowledge-based Systems, 2016, 97: 111-122. (IF 5.101，中科院 JCR 2区,,中国计算机学会推荐C类刊物, Google Citations55+)
2Guoying Zhang,Min He,Hao Wu(*),Guanghui Cai,Jianhong Ge. Non-negative multiple matrix factorization with social similarity for recommender systems.BDCAT2016:280-286
2Hao Wu,Jun He,Bo Li,Yijian Pei. Personalized QoS Prediction of Cloud Services via Learning Neighborhood-Based Model.CollaborateCom 2015: 106-117.(EI/ISTP)
2 Hao Wu, Yijian Pei, Bo Li, Zongzhan Kang, Xiaoxin Liu, Hao Li, Item recommendation in collaborative tagging systems via heuristic data fusion, Knowledge-Based Systems, 2015, 75(1)：124-140. (SCI: 010, IF 5.101，中科院 JCR 2区,中国计算机学会推荐C类刊物)
2 Hao Wu, Kun Yue, Xiaoxin Liu, Yijian Pei, Bo Li, Context-aware Recommendation via Graph-based Contextual Modeling and Post-Filtering, International Journal of Distributed Sensor Networks, Volume2015, Article ID613612.(SCI,IF 0.665)
2 Bo Li, Yijian Pei,Hao Wu (*), Bin Shen. Heuristics to allocate high- performance cloudlets for computation offloading in mobile ad hoc clouds. The Journal of Supercomputing, 2015, 71 (8):3009-3036. (SCI: 012,IF 0.858,,中国计算机学会推荐C类刊物, Google Citations80+)
2KunYue,HaoWu,YunleiZhu,WeiyiLiu.Representing and processing lineages over uncertain data based on the Bayesian network. Applied Soft Computing, 2015, 37:345-362.(IF 2.81,中国计算机学会推荐C类刊物).
2 Hao Wu, Xiaohui Cui, Jun He, Bo Li, Yijian Pei, On improving aggregate recommendation diversity and novelty in folksonomy-based social systems, Personal and Ubiquitous Computing, 2014, 18(8): 1855-1869. (SCI: 007, IF 1.518,中国计算机学会推荐C类刊物)
2 Hao Wu, Bo Li, Yijian Pei, Jun He, Unsupervised author disambiguation using Dempster-Shafer theory, Scientometrics, 2014, 101(3): 1955-1972. (SCI: 020, IF 2.183)
2 Bo Li,Yijian Pei,Hao Wu,Bin Shen, Resource availability-aware advance reservation for parallel jobs with deadlines.The Journal of Supercomputing, 2014,?68(2):798-819 ( IF=0.858,中国计算机学会推荐C类刊物)
2 Jun He,Ming-Wei Gao,Lei Zhang,Hao Wu: Sparse Signal Recovery from Fixed Low-Rank Subspace via Compressive Measurement.Algorithms 6(4): 871-882 (2013)
2 Hao Wu, Jun He, Yijian Pei, Scientific impact at the topic level: A case study in computational linguistics., Journal of the American Society for Information Science and Technology, 2010, 61(11): 2274-2287. (SCI: 009, EI: 817, IF 2.18,中国计算机学会推荐B类刊物)
2 Hao Wu,Yijian Pei,Jiang Yu, Detecting academic experts by topic-sensitive link analysis.Frontiers of Computer Science in China, 2009,3(4):445-456 (IF 0.434)
2 Hao Wu.Towards Scalable Web Services Retrieval. Journal of Harbin Institute of Technology(New Series), Apr. 2008,15(sup.1):104-109.(EI)
2 Xiaomin Ning,Hai Jin,Hao Wu: RSS: A framework enabling ranked search on the semantic web.Inf. Process. Manage. 2008, 44(2): 893-909. (SCI/EI)
2 Hai Jin,Xiaomin Ning,Weijia Jia, Hao Wu,Guilin Lu: Combining weights with fuzziness for intelligent semantic web search.Knowledge-based Systems, 2008,21(7): 655-665.(SCI/EI)
2 Hai Jin,Yunfa Li,Zongfen Han,Hao Wu,Weizhong Qiang: Aeneas: real-time performance evaluation approach for distributed programs with reliability-constrains.Cluster Computing 10(2): 175-186 (2007)(SCI/EI)
2 Hai Jin,Hao Wu,Xiaomin Ning: Facilitating Service Discovery with Semantic Overlay.J. Comput. Sci. Technol. 21(4): 582-591 (2006)(SCI/EI)
2 Hai Jin,Hao Wu,Semantic-enabled specification for web services agreement. International Journal of Web Services Practices 1 (1-2), 13-20
2 张国英, 武浩, 蔡光卉, 何敏, 余江, 徐涛. 基于非负多矩阵分解的微博网络信息推荐. 计算机应用研究, 2017, 34 (9):1-5.
2 郭心宇, 岳昆, 李劲, 武浩, 张彬彬. 面向评价数据中用户偏好发现的证据理论方法.计算机科学与探索,2017, 11(2), 231-241.
2 高艳,岳昆, 武浩, 付晓东, 刘惟一.面向评价数据中用户偏好发现的隐变量模型构建与推理,. 计算机应用, 2017, 37 (2): 360-366.
2 邓日升,岳昆, 武浩, 刘惟一.基于隐变量模型的在线商品评分预测. 小型微型计算机系统, 2017, 38 (2): 352-356.
2 尹子都, 岳昆, 武浩, 付晓东,刘惟一. 基于记忆曲线的数据密集型动态用户行为建模.计算机科学与探索, 2016, 10:1376-1386.
2 岳昆, 王朝禄, 朱运磊,武浩,刘惟一基于概率图模型的互联网广告点击率预测.华东师范大学学报(自然科学版) 3, 006, 2014.
2 李波, 刘海霞, 杨娜,武浩,裴以建. 基于延迟调度截止时间约束提前预留接纳控制,华中科技大学学报,2012,40(增刊I):332-336. ( EI: 20**4)
2 武浩,王美姣, 冯佳明, 裴以建.专家检索研究进展. 计算机应用研究, 2010, 10:3633-3638.
2 李波, 杨从有,武浩,裴以建云计算环境中 SaaS的接入控制和调度策略研究.计算机技术与发展,2012, 22 (8), 9-12.
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