王宏志科研成果

基本信息 Hongzhi Wang 科学研究/Research 教学/Teaching(In Chinese) 论文/Publications 项目/Projects(In Chinese) 知识产权 ... 项目/Projects(In Chinese) 知识产权 新建主栏目 基本信息 名称 王宏志，男，汉族，1978年生。长聘教授，博士生导师；计算机科学与工程系主任，计算学部海量数据计算研究中心主任，数据科学与大数据技术专业负责人，黑龙江省大数据科学与工程重点实验室主任, 哈工大青年科学家工作室负责人；计算学部校友会秘书长。中国计算机学会杰出会员，IEEE Senior member。 研究方向为数据库、大数据管理与分析、大数据治理等，发表论文350余篇，SCI收录百余次，他引4000余次，先后主持国家自然科学基金重点项目、国际合作项目等10余项项目，以主要成员身份参与国家自然科学基金重点项目以及一批省部级重点项目和多项国际合作项目等。 获得黑龙江省教学名师、青年龙江学者、微软学者、中国优秀数据库工程师、IBM博士英才等称号，获得黑龙江省自然科学奖和教育部高校科技进步奖各1项，黑龙江省“头雁计划”团队成员。 工作经历 名称 时间 工作经历 2022-至今 计算机科学与工程系 系主任 2019-2022 哈尔滨工业大学英才学院 副院长 2015-至今 哈尔滨工业大学计算机学院 教授 2013-至今 哈尔滨工业大学计算机学院 博士生导师 2010-2015 哈尔滨工业大学计算机学院 副教授 2012.9-2013.9 UC Irvine 访问学者 2011.4-2011.10 微软亚洲研究院"助星计划"访问学者 2008-2010 哈尔滨工业大学计算机学院 讲师 2006.10-2007.4 新加坡国立大学 实习生 2004.5-2005.4 新南威尔士大学 访问研究助理 教育经历 名称 2003年-2008年, 就读于哈尔滨工业大学, 获博士学位 2001年-2003年, 就读于哈尔滨工业大学, 获硕士学位 1997年-2001年, 就读于哈尔滨工业大学, 获学士学位 荣誉和奖励 名称 2023年 “算法设计与分析”获批国家一流线上课程 2023年 黑龙江省教学名师 2022年 SIGMOD Outstanding Reviewer 2022年 黑龙江省教学成果二等奖(排名第1) 2021年 教育部”拔尖人才培养计划2.0优秀管理人员”奖 2021年 “Mining conditional functional dependency rules on big data”获得Big Data Mining and Analytics Excellent Paper Award 2021年 哈尔滨工业大学教学贡献奖-教学突出奖 2021年 哈尔滨工业大学立德树人先进个人标兵 2021年 WSDM Outstanding Reviewer Award 2020年 "数据质量多种性质的关联关系研究"获第5届中国科协优秀论文 2020年 “基础学科拔尖学生培养计划”优秀导师奖 2019年 哈尔滨工业大学“我心目中的优秀教师” 2019年 ICDE Outstanding Reviewer Award 2018年 CSC-IBM中国优秀教师奖教金 2018年 宝钢优秀教师奖 2018年 龙江学者青年学者 2017年 黑龙江省青年科技奖 2017年 “大数据算法”获得“2017年全国精品在线开放课程” 2017年 “大数据算法”和“算法设计与分析”获得“2017年黑龙江省精品在线开放课程” 2017年 《大数据算法》获得黑龙江省高等教育学会第二十二次优秀高等教育研究成果一等奖 2017年 第一届全国高等学校计算机教育教学青年教师优秀论文一等奖 2016年 全国数据库会议“萨师煊优秀学生论文” 2016年 教育部科技进步一等奖 2016年 大学生创新创业教育活动优秀指导教师奖 2016年 优秀专兼职学生工作者 2015年 哈尔滨工业大学专兼职学生工作者标兵 2015年 哈尔滨工业大学“三育人”标兵 2015年 《科学中国人》2014年度人物 2014年 学生活动优秀指导教师 2013年 学生活动优秀指导教师 2011年 黑龙江省自然科学一等奖 2011年 全国数据库会议“萨师煊优秀学生论文” 2009年 博士论文“XML数据查询处理技术”被评为中国计算机学会优秀博士论文 2009年 博士论文“XML数据查询处理技术”被评为哈尔滨工业大学优秀博士论文 2007年 IBM博士英才 2006年 国际会议WISE最佳论文 2006年 中国优秀数据库工程师 2005年 微软学者 学术报告 名称 Time Series: Management, Analytics and Cleaning, Keynote Speech, 4th International Conference on Big Data Engineering and Technology(BDET 2022), 2022.4 AI Meets NoSQL Database: Methods, Opportunities and Challenges，Tutorial, DASFAA 2022，2022.4, online. with Zhixin Qi and Yu Yan AI and Data：a closed loop. keynote speech, the 7th International Conference on Big Data Analytics(ICBDA2022)，2022.03 Big Data Cleaning: challenges and explorations. keynote speech, 2021 International Conference on Digital City Construction and Information Technology (DCCIT 2021), 2021.12 Big Data Cleaning: Method Overview and Challenges. IEEE Big Data 2021. Tutorial. 2021.12, online, with Xiaoou Ding Automated Machine Learning: Methods, Tools and Challenges, ECML tutorial, 2021. 9, with Chunnan Wang Industrial Big Data Cleaning, WAIM/APWeb 2021 Tutorial, 2021.8,，with Xiaoou Ding 工业大数据：背景与探索，工业大数据发展与人才培养论坛，2017.4. 哈尔滨 大数据分析：从数据到智能，数据科学与人工智能论坛, 2017.3. 苏州 教育大数据分析：方法与探索.中国大学在线开放课程论坛，2017.1. 北京 学术服务 名称 中国计算机学会杰出会员 ACM数据科学学科标准编写组专家 2020-现在 CCF哈尔滨分部 主席 2018-现在 教育部高等学校计算机类专业教学指导委员会计算机系统专家委员会委员 2014-2015 YOSCEF哈尔滨分论坛主席 2012-2013 YOSCEF哈尔滨分论坛副主席 2011-2015 YOSCEF哈尔滨分论坛学术委员(AC) 2017-现在 黑龙江省数据库专委会副主任委员 2017-现在 YOCSEF哈尔滨荣誉委员 2018-2020 CCF哈尔滨分部副主席 2016-2017 CCF哈尔滨分部秘书长 2016-现在 SIGMOD China Chapter秘书长 2018-现在 全国高校人工智能与大数据创新联盟专家委员会副主任 中国计算机学会数据库专委会常务委员 中国计算机学会计算机应用专委会委员 中国计算机学会大数据专家委员会委员 中国计算机学会哈尔滨工业大学学生分会指导委员会副主任 哈工大微软俱乐部指导教师 哈工大数据库俱乐部指导教师 哈工大数据智能俱乐部指导教师 哈工大EMC俱乐部指导教师 国际会议组织者 ADMA 2007 Registration Chair WAIM 2012 Workshop Chair WAIM 2014 Demo Chair WASA 2014 Local Organization Chair ICYCSEE 2015 General Chair BDQM 2016 PC Chair 编辑(Editorial Board) International Journal of Data Science Symbiosis Center for Information Technology Journal International Journal of Informatics Researches Journal of Computer Sciences 程序委员会委员 (PC Member) ACM Special Interest Group in Management Of Data (SIGMOD), 2022 International Conference on Very Large Data Bases (VLDB),2021. ACM SIGIR Conference on Information Retrieval (SIGIR)，2020-2021. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2016, 2018-2021 IEEE International Conference on Data Engineering (ICDE),2019-2020 International Conference on Machine Learning(ICML), 2021 International Conference on Computer Vision (ICCV), 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 AAAI Conference on Artificial Intelligence(AAAI), 2021 Neural Information Processing Systems(NeurPIS), 2020 ACM International Web Search and Data Mining conference(WSDM), 2021 ACM International Conference on Information and Knowledge Management (CIKM), 2011,2017-2018,2020 International Conference on Conceptual Modeling (ER), 2018-2021 International Conference on Database Systems for Advanced Applications(DASFAA) 2015-2016，2019-2021 全国数据库会议 (NDBC), 2009-2020 全国大数据会议 (CCF BigData), 2015-2020 APWeb-WAIM, 2011-2020 Advanced Data Mining and Applications (ADMA) 2011-2014, 2016,2020 International Conference on Service Science (ICSS) 2015 Asia-Pacific Services Computing Conference(APSCC) 2014-2016 期刊审稿人 The VLDB Journal IEEE Transaction of Knowledge and Data Engineering Data and Knowledge Engineering Knowledge and Information System Information Sciences World Wide Web Journal Knowledge-based Systems Journal of Computer Science and Technology The Computer Journal Journal of Software and Systems Journal of Parallel and Distributed Computing SCIENCE CHINA Information Sciences Computers and Electrical Engineering China Communications Parallel and Distributed Databases Expert Systems With Applications Concurrency and Computation: Practice and Experience Frontiers of Computer Science Information Fusion 个人新闻 Hongzhi Wang 名称 Hongzhi Wang Professor of Department of Computer Science and Technology, Harbin Institute of Technology. I am the head of massive data computing center and the vice dean of the honors school of Harbin Institute of Technology, the secretary general of ACM SIGMOD China, outstanding CCF member, a standing committee member CCF databases and a member of CCF big data committee. Research Fields include big data management and analysis, database systems, knowledge engineering and data quality. I were “starring track” visiting professor at MSRA and postdoctoral fellow at University of California, Irvine. I have been PI for more than 10 national or international projects including NSFC key project, NSFC projects and National Technical support project, and co-PI for more than 10 national projects including NSFC key projects. He also serves as a member of ACM Data Science Task Force. I have won First natural science prize of Heilongjiang Province, MOE technological First award, Microsoft Fellowship, IBM PHD Fellowship and Chinese excellent database engineer. My publications include over 300 papers in the journals and conferences such as VLDB Journal, IEEE TKDE, VLDB, SIGMOD, ICDE and SIGIR, 6 books and 6 book chapters. My PHD thesis was elected to be outstanding PHD dissertation of CCF and Harbin Institute of Technology. I sever as the reviewer of more than 20 international journal including VLDB Journal, IEEE TKDE, and PC members of over 50 international conferences including SIGMOD 2022, VLDB 2021, KDD 2021, ICML 2021, NeurpIS 2020, ICDE 2020, etc. Contact 名称 Hongzhi Wang Phone： 86-0451-86403492-810 FAX： 86-0451-86415827 E－mail： wangzh [AT] hit.edu.cn Postal Code： 150001 Address： P.O.Box 750, Harbin Institute of Technology Working Experiences 名称 Time Position 2019-now Harbin Institute of Technology, the Honor School, Vice Dean 2015-now Harbin Institute of Technology, Professor 2013-now Harbin Institute of Technology, PHD supervisor 2010-2015 Harbin Institute of Technology, Associate Professor 2012.9-2013.9 UC Irvine Visiting Scholar 2011.4-2011.10 MSRA "Starring Track" Visiting Professor 2008-2010 Harbin Institute of Technology, Asistent Professor 2006.10-2007.4 National University of Singapore, Intern 2004.5-2005.4 University of New South Walses, Visiting Reserach Associate Education Background 名称 2003 – 2008, Ph.D. Computer Science, Harbin Institute of Technology, Advisor: Professor Jianzhong Li 2001 – 2003, Ph.D. Computer Science, Harbin Institute of Technology, Advisor: Professor Jianzhong Li 1997 - 2001, B.S., Computer Science, Harbin Institute of Technology Awards 名称 2021 WSDM Outstanding Reviewer Award 2019 ICDE Outstanding Reviewer Award 2011The First Class Award of Science of Heilongjiang Province 2009, CCF Outstanding PHD thesis 2009, Outstanding PHD thesis of Harbin Institute of Technology 2007, IBM PHD Followship 2006, The best paper of WISE 2006, Chinese Excellent Database Engineer 2005, Microsoft Fellowship Professional Services 名称 Outstanding Member, CCF 2020-now, Chair, CCF Harbin 2018-2019, Vice Chair, CCF Harbin 2014-2015, Chair, CCF YOSCEF Harbin 2012-2013, Vice Chair, CCF YOSCEF Harbin Supervisor, HIT-MSClub ADMA 2007 Registration Chair WAIM 2012 Workshop Chair WAIM 2014 Demo Chair WASA 2014 Local Organization Chair ICYCSEE 2015 General Chair Editorial Board International Journal of Data Science Symbiosis Center for Information Technology Journal International Journal of Informatics Researches Journal of Computer Sciences PC Member ACM International Conference on Information and Knowledge Management (CIKM), 2011 Natinoal Database Conference (NDBC), 2009-2014 International Conference on Frontier of Computer Science and Technology (FCST), 2010-2012 International Conference on Web-Age Information Management (WAIM), 2011-2014 Asia-Pacific Web Conference (APWeb), 2011-2014 Advanced Data Mining and Applications (ADMA) 2011-2014 International Conference on Information, Process, and Knowledge Management (eKNOW) 2014 International Conference on Information and Knowledge Management (ICIKM), 2013 International Workshop on Data Management for Emerging Network Infrastructures (Damen), 2011 International Workshop on XML Data Management (XML-DM), 2010-2012 International Workshop on Location-Based Social Networks (LBSN), 2013 International Workshop on Management of Spatial Temporal Data (MSTD), 2013 International Conference on Computer Science and Mechanical Engineering (CSME) 2013 Referee IEEE Transaction of Knowledge and Data Engineering Data and Knowledge Engineering Knowledge and Information System Information Sciences International Journal of Computer Systems Science and Engineering World Wide Web Journal Knowledge-based Systems Journal of Computer Science and Technology The Computer Journal Journal of Software and Systems Computers and Electrical Engineering China Communications Parallel and Distributed Databases Expert Systems With Applications Concurrency and Computation: Practice and Experience Frontiers of Computer Science TELKOMNIKA Indonesian Journal of Electrical Engineering Mathematical Problems in Engineering Physical Sciences Research International Research Interests 名称 Database Management System (数据库管理系统) Big Data Quality (大数据质量) Big Data Analysis and Mining (大数据分析与挖掘) AI for DB (人工智能驱动的大数据技术) DB for AI (支撑人工智能的大数据技术) Industrial Big Data (工业大数据) Blockchain and Financial Big Data (区块链与金融大数据) 招生信息 名称 博士后招生:招收大数据、数据管理、人工智能等方向博士后，期待有较强学术或系统能力的同学申请。 博士招生:招收大数据、数据管理、人工智能等方向博士研究生，期待有热情并有学术兴趣的同学报考。 硕士招生:招收大数据、数据管理、人工智能等方向硕士研究生，期待有热情的同学报考。 同时欢迎对大数据、数据管理、人工智能以及相关领域研究与开发感兴趣的本科生同学加盟！ 感兴趣的同学请email联系wangzh@hit.edu.cn 讲授课程 名称 大数据算法，2014夏，2015夏 算法设计与分析(本科)，2007春，2008春，2009春，2010春，2010秋，2011春，2011秋，2012春, 2013秋, 2014春, 2014秋，2015春，2015秋，2016春，2016秋，2017春, 2018春，2019春，2020春，2020秋，2021秋，2023春 大数据计算技术基础，2018秋，2019秋，2020秋，2021秋，2022秋 工业大数据，2017春，2021春 大数据计算技术前沿(研究生), 2020春，2021春，2022春，2022秋 大数据管理与分析(研究生)，2015-2019春 算法设计与分析(研究生)，2010春，2010秋，2012春 高级数据库系统，2014春 编译原理，2006秋，2008秋，2009秋，2010秋，2011秋 软件设计与实践I，2012春，2014春，2015春，2016春 Web Services，2006秋，2008秋， 主流数据库，2005秋 数学建模，2005秋，2006春 Web 技术，2003秋, 2013秋 分布式系统，2003秋 Deadline of Related Conferences&Special Issues 名称 Conference Deadline IJCAI 2022 Demo Paper submission: February 14, 2022 Books & Chapters 名称 Chen Ye, Hongzhi Wang, Guojun Dai: Knowledge Discovery from Multi-Sourced Data. Springer Briefs in Computer Science, Springer 2022 王宏志，李默涵 编著. 大数据治理. 电子工业出版社. 2021.12 (in Chinese) 王宏志，何震瀛，王鹏，李春静 编著. 大数据管理系统原理与技术. 机械工业出版社. 2019.12 (in Chinese) 王宏志，刘海龙，张立臣，石胜飞 编著. 大数据计算系统. 机械工业出版社. 2023 (in Chinese) 王宏志 著. 大数据清洗技术. 哈尔滨工业大学出版社，2019.12(In Chinese, 十三五国家重点出版物出版规划项目) 王宏志 编著. 大数据分析原理与实践. 机械工业出版社, 2017.4. (In Chinese) 王宏志 林可编著. 零基础学习大数据算法. 电子工业出版社, 2016.7. (In Chinese) 王宏志，第二章 数据采集与治理. 大数据导论，机械工业出版社，2018. 王宏志，李春静. Hadoop集群程序设计与开发，人民邮电出版社, 2018 高辉，李东升，王宏志(译).高性能分布式计算系统开发与实现：基于Hadoop、Scalding和Spark.机械工业出版社,2018. (In Chinese) 黎玲利，尹丹，李默涵，王宏志(译).推荐系统：原理与实践.机械工业出版社,2018. (In Chinese) 王宏志，黎玲利(译).算法基础.机械工业出版社,2017. (In Chinese) 王宏志 (译). 算法基础：打开算法之门.机械工业出版社, 2016.1. (In Chinese) 王宏志 编著. 大数据算法. 机械工业出版社, 2015.7. (In Chinese) Hongzhi Wang. Innovative Techniques and Applications of Entity Resolution. IGI Global, 2014. Hongzhi Wang, Jianzhong Li, Jinbao Wang, Hong Gao: Dirty Data Management in Cloud Database. Grid and Cloud Database Management 2011: 133-150 Hongzhi Wang, Jianzhong Li, Hong Gao. Labelling-Scheme-Based Subgraph Query Processing on Graph Data. Graph Data Management: Techniques and Applications 2011: 142-174. Hongzhi Wang, Jianzhong Li, Fei Li. Efficient Identification of Similar XML Fragments Based on Tree Edit Distance. XML Data Mining: Models, Methods, and Applications, 2011，78-97. 王宏志 著. XML数据查询处理技术. 天津教育出版社，2010. (In Chinese) 殷建平, 徐云, 王刚, 刘晓光, 苏明, 邹恒明, 王宏志 (译). 算法导论. 机械工业出版社, 2012. 12. (In Chinese) Zhipeng Cai, Chaokun Wang, Siyao Cheng, Hongzhi Wang, Hong Gao (Eds.): Wireless Algorithms, Systems, and Applications - 9th International Conference, WASA 2014, Harbin, China, June 23-25, 2014. Proceedings. Lecture Notes in Computer Science 8491, Springer 2014, ISBN 978-3-319-07781-9 Hongzhi Wang, Haoliang Qi, Wanxiang Che, Zhaowen Qiu, Leilei Kong, Zhongyuan Han, Junyu Lin, Zeguang Lu (Eds.). Intelligent Computation in Big Data Era - International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2015, Harbin, China, January 10-12, 2015. Proceedings, Communications in Computer and Information Science, Volume 503 2015, ISBN: 978-3-662-46247-8 (Print) 978-3-662-46248-5 (Online). Wanxiang Che, Qilong Han, Hongzhi Wang, Weipeng Jing, Shaoliang Peng, Junyu Lin, Guanglu Sun, Xianhua Song, Hongtao Song, Zeguang Lu. Social Computing-Second International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2016, Harbin, China, August 20-22, 2016, Proceedings, Part I, Part II. Beiji Zou, Min Li, Hongzhi Wang, Xianhua Song, Wei Xie, Zeguang Lu: Data Science - Third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Changsha, China, September 22-24, 2017, Proceedings, Part I. Communications in Computer and Information Science 727, Springer 2017, ISBN 978-981-10-6384-8 International Journals 名称 Hongzhi Wang, Xiaoou Ding, Jianzhong Li, Hong Gao:Rule-Based Entity Resolution on Database with Hidden Temporal Information. IEEE Trans. Knowl. Data Eng. 30(11): 2199-2212 (2018) Zhiyu Liang, Hongzhi Wang: FedTSC: A Secure Federated Learning System for Interpretable Time Series Classification. Proc. VLDB Endow. 15(12): 3686-3689 (2022) Zeyu Li, Hongzhi Wang, Wei Shao, Jianzhong Li, Hong Gao. Repairing Data through Regular Expressions. PVLDB 9(5),2015 Hongzhi Wang, Jianzhong Li, Jizhou Luo, Hong Gao. Hash-base subgraph query processing method for graph-structured XML documents. PVLDB 1(1): 478-489 (2008). Zhao Sun, Hongzhi Wang, Haixun Wang, Bin Shao, Jianzhong Li. Efficient Subgraph Matching on Billion Node Graphs. PVLDB 5(5), 2012 Wenfei Fan, Jianzhong Li, Shuai Ma, Hongzhi Wang, Yinghui Wu. Graph Homomorphism Revisited for Matching Web Sites. PVLDB 3, 2010 Xiaoou Ding, Hongzhi Wang, Jiaxuan Su, Zijue Li, Jianzhong Li, Hong Gao: Cleanits: A Data Cleaning System for Industrial Time Series. PVLDB 12(12): 1786-1789 (2019) Tianyu Mu, Hongzhi Wang, Shenghe Zheng, Shaoqing Zhang, Cheng Liang, Haoyun Tang: Assassin: an Automatic claSSificAtion system baSed on algorithm SelectIoN. Proc. VLDB Endow. 14(12): 2751-2754 (2021) Rui Kang, Hongzhi Wang: Dynamic Relation Repairing for Knowledge Enhancement. IEEE Trans. Knowl. Data Eng. 35(2): 1434-1445 (2023) Zhixin Qi, Hongzhi Wang, Haoran Zhang: A Dual-Store Structure for Knowledge Graphs. IEEE Trans. Knowl. Data Eng. 35(2): 1104-1118 (2023) Xiaolong Wan, Hongzhi Wang: Efficient Semi-External SCC Computation. IEEE Trans. Knowl. Data Eng. 35(4): 3794-3807 (2023) Xiaolong Wan, Hongzhi Wang: Reachability Queries With Label and Substructure Constraints on Knowledge Graphs. IEEE Trans. Knowl. Data Eng. 35(6): 6238-6251 (2023) Chunnan Wang, Kaixin Zhang, Hongzhi Wang, Bozhou Chen: Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search. ACM Trans. Knowl. Discov. Data 17(5): 73:1-73:21 (2023) Xiaoou Ding, Hongzhi Wang, Jiaxuan Su, Muxian Wang, Jianzhong Li, Hong Gao: Leveraging Currency for Repairing Inconsistent and Incomplete Data. IEEE Trans. Knowl. Data Eng. 34(3): 1288-1302 (2022) Chen Ye, Hongzhi Wang, Kangjie Zheng, YouKang Kong, Rong Zhuv, Jing Gao, Jianzhong Li: Constrained Truth Discovery. IEEE Trans. Knowl. Data Eng. 34(1): 205-218 (2022) Yixiang Fang, Zhongran Wang, Reynold Cheng, Hongzhi Wang, Jiafeng Hu: Effective and Efficient Community Search Over Large Directed Graphs. IEEE Trans. Knowl. Data Eng. 31(11): 2093-2107 (2019) Yiming Lin, Hongzhi Wang, Jianzhong Li, Hong Gao: Efficient Entity Resolution on Heterogeneous Records. IEEE Trans. Knowl. Data Eng. 32(5): 912-926 (2020) Hiba Abu Ahmad, Hongzhi Wang: Automatic weighted matching rectifying rule discovery for data repairing. VLDB J. 29(6): 1433-1447 (2020) Zhixin Qi, Hongzhi Wang, Ziming Shen, Donghua Yang: PreKar: A learned performance predictor for knowledge graph stores. World Wide Web (WWW) 26(1): 321-341 (2023) Xiaoou Ding，Hongzhi Wang; Genglong Li; Haoxuan Li; Yingze Li; Yida Liu. IoT data cleaning techniques: A survey. Intelligent and Converged Networks. vol. 3, no. 4, pp. 325-339 Xinyue Shao, Hongzhi Wang, Xiao Zhu, Feng Xiong, Tianyu Mu, Yan Zhang: EFFECT: Explainable framework for meta-learning in automatic classification algorithm selection. Inf. Sci. 622: 211-234 (2023) Yu Yan, Man Yang, Hongzhi Wang, Yuzhuo Wang, Tao Yu: AAE: An active auto-estimator for improving graph storage. Inf. Sci. 623: 421-433 (2023) Yuzhuo Wang, Hongzhi Wang, Wenbo Lu, Yu Yan: HyGGE: Hyperbolic graph attention network for reasoning over knowledge graphs. Inf. Sci. 630: 190-205 (2023) Mehak Khan, Hongzhi Wang, Alladoumbaye Ngueilbaye, Aya El-Fatyany: End-to-end multivariate time series classification via hybrid deep learning architectures. Pers. Ubiquitous Comput. 27(2): 177-191 (2023) Chunnan Wang, Chen Liang, Xiang Chen, Hongzhi Wang: Identifying effective trajectory predictions under the guidance of trajectory anomaly detection model. Pattern Recognit. 140: 109559 (2023) Yuzhuo Wang, Hongzhi Wang, Wenbo Lu, Yu Yan: METransE: Manifold-like mechanism enhanced embedding for reasoning over knowledge graphs. Expert Syst. Appl. 209: 118288 (2022) Chen Ye, Shihao Jiang, Hua Zhang, Yifan Wu, Jiankai Shi, Hongzhi Wang, Guojun Dai: JointMatcher: Numerically-aware entity matching using pre-trained language models with attention concentration. Knowl. Based Syst. 251: 109033 (2022) Jiabao Han, Hongzhi Wang: A meta learning approach for open information extraction. Neural Comput. Appl. 34(15): 12681-12694 (2022) Chunnan Wang, Hongzhi Wang, Tianyu Mu, Zhixin Qi: Evaluating community quality based on ground-truth. Inf. Sci. 599: 104-126 (2022) Feng Li, Shengfei Shi, Hongzhi Wang: Partial multi-label learning via specific label disambiguation. Knowl. Based Syst. 250: 109093 (2022) Xiaolong Wan, Hongzhi Wang: Efficient semi-external depth-first search. Inf. Sci. 599: 170-191 (2022) Chunnan Wang, Hongzhi Wang, Tianyu Mu, Zhixin Qi: Evaluating community quality based on ground-truth. Inf. Sci. 599: 104-126 (2022) Lei Zheng, Ziming Shen, Hongzhi Wang: GSBRL : Efficient RDF graph storage based on reinforcement learning. World Wide Web 25(2): 763-784 (2022) Xuebin Su, Hongzhi Wang: MISS: finding optimal sample sizes for approximate analytics. Distributed Parallel Databases 40(1): 165-200 (2022) Hongzhi Wang, Bozhou Chen, Yueyang Xu, Kaixin Zhang, Shengwen Zheng: ConsciousControlFlow(CCF): Conscious Artificial Intelligence Based on Needs. J. Artif. Intell. Conscious. 09(1): 93-110 (2022) Tianyu Mu, Hongzhi Wang, Chunnan Wang, Zheng Liang, Xinyue Shao: Auto-CASH: A meta-learning embedding approach for autonomous classification algorithm selection. Inf. Sci. 591: 344-364 (2022) Hongzhi Wang, Wenbo Lu, Shihan Tang, Yang Song: Predict industrial equipment failure with time windows and transfer learning. Appl. Intell. 52(3): 2346-2358 Feng Xiong, Hongzhi Wang: Mining Simple Path Traversal Patterns in Knowledge Graph. J. Web Eng. 21(2) (2022) Jiabao Han, Hongzhi Wang: Improving Open Information Extraction with Distant Supervision Learning. Neural Process. Lett. 53(5): 3287-3306 (2021) Zheng Liang, Hongzhi Wang, Xiaoou Ding, Tianyu Mu: Industrial time series determinative anomaly detection based on constraint hypergraph. Knowl. Based Syst. 233: 107548 (2021) Yuzhuo Wang, Hongzhi Wang, Junwei He, Wenbo Lu, Shuolin Gao: TAGAT: Type-Aware Graph Attention neTworks for reasoning over knowledge graphs. Knowl. Based Syst. 233: 107500 (2021) Chen Ye, Hongzhi Wang, Wenbo Lu, Jing Gao, Guojun Dai: Deep truth discovery for pattern-based fact extraction. Inf. Sci. 580: 478-494 (2021) Jiabao Han, Hongzhi Wang: Graph matching based reasoner: A symbolic approach to question answering. Eng. Appl. Artif. Intell. 105: 104425 (2021) Zhi-Xin Qi, Hong-Zhi Wang, An-Jie Wang: Impacts of Dirty Data on Classification and Clustering Models: An Experimental Evaluation. J. Comput. Sci. Technol. 36(4): 806-821 (2021) Yang Song, Helin Jin, Hongzhi Wang, You Liu: IDCOS: optimization strategy for parallel complex expression computation on big data. J. Supercomput. 77(9): 10334-10356 (2021) Alladoumbaye Ngueilbaye, Hongzhi Wang, Daouda Ahmat Mahamat, Ibrahim A. Elgendy: SDLER: stacked dedupe learning for entity resolution in big data era. J. Supercomput. 77(10): 10959-10983 (2021) Alladoumbaye Ngueilbaye, Hongzhi Wang, Daouda Ahmat Mahamat, Ibrahim A. Elgendy, Sahalu B. Junaidu: Methods for detecting and correcting contextual data quality problems. Intell. Data Anal. 25(4): 763-787 (2021) Yang Song, Helin Jin, Hongzhi Wang, You Liu: IDCOS: optimization strategy for parallel complex expression computation on big data. J. Supercomput. 77(9): 10334-10356 (2021) Alladoumbaye Ngueilbaye, Hongzhi Wang, Daouda Ahmat Mahamat, Sahalu B. Junaidu: Modulo 9 model-based learning for missing data imputation. Appl. Soft Comput. 103: 107167 (2021) Yu Yan, Shun Yao, Hongzhi Wang, Meng Gao: Index selection for NoSQL database with deep reinforcement learning. Inf. Sci. 561: 20-30 (2021) Chunnan Wang, Hongzhi Wang, Chang Zhou, Hanxiao Chen: ExperienceThinking: Constrained hyperparameter optimization based on knowledge and pruning. Knowl. Based Syst. 223: 106602 (2021) Zhonghao Xue, Hongzhi Wang: Effective density-based clustering algorithms for incomplete data. Big Data Min. Anal. 4(3): 183-194 (2021) Mehak Khan, Hongzhi Wang, Alladoumbaye Ngueilbaye: Attention-Based Deep Gated Fully Convolutional End-to-End Architectures for Time Series Classification. Neural Process. Lett. 53(3): 1995-2028 (2021) Chunnan Wang, Hongzhi Wang, Hanxiao Chen, Daxin Li: Attributed community search based on effective scoring function and elastic greedy method. Inf. Sci. 562: 78-93 (2021) Zhiyu Liang, Hongzhi Wang: Efficient class-specific shapelets learning for interpretable time series classification. Inf. Sci. 570: 428-450 (2021) Jiabao Han, Hongzhi Wang: Transformer based network for Open Information Extraction. Eng. Appl. Artif. Intell. 102: 104262 (2021) Mehak Khan, Hongzhi Wang, Adnan Riaz, Aya El-Fatyany, Sajida Karim: Bidirectional LSTM-RNN-based hybrid deep learning frameworks for univariate time series classification. J. Supercomput. 77(7): 7021-7045 (2021) Meifan Zhang, Hongzhi Wang: Selectivity estimation with density-model-based multidimensional histogram. Knowl. Inf. Syst. 63(4): 971-992 (2021) Alladoumbaye Ngueilbaye, Hongzhi Wang, Mehak Khan, Daouda Ahmat Mahamat: Adoption of human metabolic processes as Data Quality Based Models. J. Supercomput. 77(2): 1779-1817 (2021) Meifan Zhang, Hongzhi Wang: LAQP: Learning-based approximate query processing. Inf. Sci. 546: 1113-1134 (2021) Hongzhi Wang, Ning Li, Zheng Wang, Jianing Li: GPU-based efficient join algorithms on Hadoop. J. Supercomput. 77(1): 292-321 (2021) Hongzhi Wang, Chengquan He, Zhuping Li: A new ensemble feature selection approach based on genetic algorithm. Soft Comput. 24(20): 15811-15820 (2020) Aya El-Fatyany, Hongzhi Wang, Saied M. Abd El-atty, Mehak Khan: Biocyber Interface-Based Privacy for Internet of Bio-nano Things. Wirel. Pers. Commun. 114(2): 1465-1483 (2020 Aya El-Fatyany, Hongzhi Wang, Saied M. Abd El-atty: On mixing reservoir targeted drug delivery Modeling-based Internet of Bio-NanoThings. Wireless Networks 26(5): 3701-3713 (2020) Meifan Zhang, Hongzhi Wang, Jianzhong Li, Hong Gao: SUM-optimal histograms for approximate query processing. Knowl. Inf. Syst. 62(8): 3155-3180 (2020) Zhixin Qi, Hongzhi Wang, Tao He, Chunnan Wang, Jianzhong Li, Hong Gao: TAILOR: time-aware facility location recommendation based on massive trajectories. Knowl. Inf. Syst. 62(9): 3783-3810 (2020) Zhixin Qi, Hongzhi Wang, Tao He, Jianzhong Li, Hong Gao: FRIEND: Feature selection on inconsistent data. Neurocomputing 391: 52-64 (2020) Lingli Li, Hongzhi Wang, Jianzhong Li, Hong Gao: A survey of uncertain data management. Frontiers Comput. Sci. 14(1): 162-190 (2020) Mingda Li, Hongzhi Wang, Jianzhong Li: Mining conditional functional dependency rules on big data. Big Data Min. Anal. 3(1): 68-84 (2020) Yinan An, Sifan Liu, Hongzhi Wang: Error Detection in a Large-Scale Lexical Taxonomy. Information 11(2): 97 (2020) Mohamed Jaward Bah, Hongzhi Wang: A Parametric and Non-Parametric Approach for High-Accurate Outlier Detection. J. Inf. Sci. Eng. 36(2): 441-465 (2020) Chen Ye, Hongzhi Wang, Wenbo Lu, Jianzhong Li: Effective Bayesian-network-based missing value imputation enhanced by crowdsourcing. Knowl. Based Syst. 190: 105199 (2020) Meifan Zhang, Hongzhi Wang, Jianzhong Li, Hong Gao: Learned sketches for frequency estimation. Inf. Sci. 507: 365-385 (2020) Chen Ye, Hongzhi Wang, Kangjie Zheng, Jing Gao, Jianzhong Li: Multi-source data repairing powered by integrity constraints and source reliability. Inf. Sci. 507: 386-403 (2020) Meifan Zhang, Hongzhi Wang, Jianzhong Li, Hong Gao: Diversification on big data in query processing. Frontiers Comput. Sci. 14(4): 144607 (2020) Amina Belhassena, Hongzhi Wang. Trajectory big data processing based on frequent activity. Tsinghua Science & Technology 24(3):317-332. Hongzhi Wang, Mohamed Jaward Bah, Mohamed Hammad: Progress in Outlier Detection Techniques: A Survey. IEEE Access 7: 107964-108000 (2019) Xiaolong Wan, Hongzhi Wang, Jianzhong Li: LKAQ: Large-scale knowledge graph approximate query algorithm. Inf. Sci. 505: 306-324 (2019) Chen Ye, Qi Li, Hengtong Zhang, Hongzhi Wang, Jing Gao, Jianzhong Li: AutoRepair: an automatic repairing approach over multi-source data. Knowl. Inf. Syst. 61(1): 227-257 (2019) Chen Ye, Hongzhi Wang, Tingting Ma, Jing Gao, Hengtong Zhang, Jianzhong Li: PatternFinder: Pattern discovery for truth discovery. Knowl.-Based Syst. 176: 97-109 (2019) Yiming Lin, Hongzhi Wang, Jianzhong Li, Hong Gao: Data source selection for information integration in big data era. Inf. Sci. 479: 197-213 (2019) Meifan Zhang, Hongzhi Wang, Jianzhong Li, Hong Gao: One-Pass Inconsistency Detection Algorithms for Big Data. IEEE Access 7: 22377-22394 (2019) Xiaohuan Lu, Jing Li, Zhenyu He, Wei Wang, Hongzhi Wang: Distracter-aware tracking via correlation filter. Neurocomputing 348: 134-144 (2019) Xin Li, Qiao Liu, Nana Fan, Zhenyu He, Hongzhi Wang: Hierarchical spatial-aware Siamese network for thermal infrared object tracking. Knowl.-Based Syst. 166: 71-81 (2019) Yan Zhang, Hongzhi Wang, Long Yang, Jianzhong Li: Efficient histogram-based range query estimation for dirty data. Frontiers Comput. Sci. 12(5): 984-999 (2018) Hiba Abu Ahmad, Hongzhi Wang: An effective weighted rule-based method for entity resolution. Distributed and Parallel Databases 36(3): 593-612 (2018) Hongzhi Wang, Feng Xiong, Jianing Li, Shengfei Shi, Jianzhong Li, Hong Gao:Data management on new processors: A survey. Parallel Computing 72: 1-13 (2018) Junxiong Wang, Hongzhi Wang, Chenxu Zhao, Jianzhong Li, Hong Gao:Iteration acceleration for distributed learning systems. Parallel Computing 72: 29-41 (2018) Hongzhi Wang, Ning Li, Jianzhong Li, Hong Gao:Parallel algorithms for flexible pattern matching on big graphs. Inf. Sci. 436-437: 418-440 (2018) Zhixin Qi, Hongzhi Wang, Jianzhong Li, Hong Gao: FROG: Inference from knowledge base for missing value imputation. Knowl.-Based Syst. 145: 77-90 (2018) Zemin Chao, Shengfei Shi, Hong Gao, Jizhou Luo, Hongzhi Wang: A gray-box performance model for Apache Spark. Future Generation Comp. Syst. 89: 58-67 (2018) Jizhou Luo, Shengfei Shi, Guang Yang, Hong-Zhi Wang, Jian-Zhong Li: O2iJoin: An Efficient Index-Based Algorithm for Overlap Interval Join. J. Comput. Sci. Technol. 33(5): 1023-1038 (2018) Hongzhi Wang, Shengjun Yin, Ming Sun, Y. E. Wang, Hepeng Wang, Jianzhong Li, Hong Gao: Efficient Computation of Skyline Queries on Incomplete Dynamic Data. IEEE Access 6: 52741-52753 (2018). Jizhou Luo, Shengfei Shi, Hongzhi Wang, Jianzhong Li:FrepJoin: an efficient partition-based algorithm for edit similarity join. Frontiers of IT & EE 18(10): 1499-1510 (2017) Hongzhi Wang, Zhixin Qi, Ruoxi Shi, Jian-Zhong Li, Hong Gao: COSSET+: Crowdsourced Missing Value Imputation Optimized by Knowledge Base. J. Comput. Sci. Technol. 32(5): 845-857 (2017) Xue-Li Liu, Hong-Zhi Wang, Jian-Zhong Li, Hong Gao: EntityManager: Managing Dirty Data Based on Entity Resolution. J. Comput. Sci. Technol. 32(3): 644-662 (2017) Boya Ren, Hongzhi Wang, Jianzhong Li, Hong Gao: Life-long learning based on dynamic combination model. Appl. Soft Comput. 56: 398-404 (2017) Xiaoou Ding, Hongzhi Wang, Yitong Gao, Jianzhong Li, Hong Gao. Efficient Currency Determination Algorithms for Dynamic Data. TSINGHUA SCIENCE AND TECHNOLOGY, 22(3), 227-242, 2017. Fei Li, Hongzhi Wang, Guowen Zhou, Daren Yu, Jiangzhong Li, Hong Gao. Anomaly Detection in Gas Turbine Fuel Systems Using a Sequential Symbolic Method. Energies 2017, 10, 724; doi:10.3390/en10050724. Hongzhi Wang, Amina Belhassena: Parallel trajectory search based on distributed index. Inf. Sci. 388: 62-83 (2017) Kaiping Zheng, Hongzhi Wang, Zhixin Qi, Jianzhong Li, Hong Gao. A survey of query result diversification. Knowl Inf Syst 51(1): 1-36 (2017) Yiming Lin, Hongzhi Wang, Shuo Zhang, Jianzhong Li, Hong Gao. Efficient quality-driven source selection from massive data sources. Journal of Systems and Software. Volume 118, August 2016, Pages 221–233. Hongzhi Wang, Mingda Li, Yingyi Bu, Jianzhong Li, Hong Gao, Jiacheng Zhang. Cleanix: a Parallel Big Data Cleaning System. Sigmod Record 44(4), 2015. Jianing Li, Hongzhi Wang, Jianzhong Li, Hong Gao. Skyline for Geo-Textual Data. Geoinformatica. 20(3): 453-469 (2016). Rui Guo, Hongzhi Wang, Mengwen Chen, Jianzhong Li, Hong Gao:Parallelizing the extraction of fresh information from online social networks. Future Generation Comp. Syst. 59: 33-46 (2016) Huan Hu, Hongzhi Wang, Jianzhong Li, Hong Gao. An efficient pruning strategy for approximate string matching over suffix tree. Knowledge and Information System. 49(1): 121-141 (2016) Yue Wang, Hongzhi Wang, Jianzhong Li, Hong Gao:Efficient graph similarity join for information integration on graphs. Frontiers of Computer Science 10(2): 317-329 (2016) Hongzhi Wang, Jianzhong Li, Hong Gao. Efficient Entity Resolution based on Subgraph Cohesion. Knowledge and Information Systems.Volume 46, Issue 2, pp 285-314 Yue Wang, Hongzhi Wang, Liyan Zhang, Yang Wang, Jianzhong Li, Hong Gao. Extend Tree Edit Distance for Effective Object Identification. Knowledge and Information Systems. 46(3): 629-656 (2016). Yan Zhang, Hongzhi Wang, Hong Gao, Jianzhong Li. Efficient accuracy evaluation for multi-modal sensed data. Journal of Combinatorial Optimization. 32(4): 1068-1088 (2016). Yan Zhang, Hongzhi Wang, Zhongsheng Yang, Jianzhong Li. Relative Accuracy Evaluation. PLoS ONE 9(8): e103853. doi:10.1371/journal.pone.0103853. Xintong Guo, Hongzhi Wang, Yangqiu Song, Gao Hong: Brief survey of crowdsourcing for data mining. Expert Syst. Appl. 41(17): 7987-7994 (2014) Fei Li, Hongzhi Wang, Jianzhong Li, Hong Gao. Approximate Joins for XML at Label Level. Information Sciences 282 (2014) 237–249 Fangda Wang, Hongzhi Wang, Jianzhong Li, Hong Gao. Graph-based Reference Table Construction to Facilitate Entity Matching. Journal of Systems and Software，Volume 86, Issue 6, 2013, 1679–1688. Fei Li, Hongzhi Wang, Jianzhong Li, Hong Gao. A Survey on Tree Edit Distance Lower Bound Estimation Techniques for Similarity Join on XML Data. Sigmod Record 42(4), 2013 Yakun Li，Hongzhi Wang，Hong Gao，Jianzhong Li. An Efficient Entity Resolution Method for Large Relations. International Journal of Cooperative Information Systems, Vol. 22, No. 1 (2013), 1–17. Yakun Li, Hongzhi Wang, Jianzhong Li, Hong Gao. Efficient Community Detection with Additive Constrains on Large Networks. Knowledge-Based Systems, 52 (2013) 268-278. Yue Wang, Hongzhi Wang, Jianzhong Li, Hong Gao. Efficient Subgraph Join based on Connectivity Similarity. World Wide Web Journal. World Wide Web 18(4): 871-887 (2015). Hongzhi Wang, Jianzhong Li, Wei Wang, Xuemin Lin. Coding-based Join Algorithms for Structural Queries on Graph-structured XML Document. World Wide Web Journal 11(4): 153-168 (2008). Hongqiang Wang, Jianzhong Li, Hongzhi Wang. Clustered Chain Path Index for XML Document: Efficiently Processing Branch Queries. World Wide Web 11(1): 153-168 (2008). Hongzhi Wang, Jianzhong Li, Jizhou Luo. Data Sources Selection for XML Data Sources. International Journal of Intelligent Information and Database Systems Vol. 2 422-445 (2008). Jianzhong Qi,Rui Zhang,Kotagiri Ramamohanarao,Hongzhi Wang, Zeyi Wen,Dan Wu. Indexable online time series segmentation with error bound guarantee. World Wide Web 18(2): 359-401 (2015). Hongzhi Wang, Jianzhong Li. GXQuery: Extending XQuery for Querying Graph-structured XML Data. Journal of Computing and Information Technology 19(2): 83-91 (2011). Hongzhi Wang, Jianzhong Li, Shuguang Xiong. Efficient join algorithms for distributed information integration based on XML. Int. J. Business Process Integration and Management, Vol. 3, No. 4, pp.271–281. WANG Hong-zhi, LIU Yong-Qiang, LIU Zhan-yi, SHANG Shou-ting. Mathematical model for detection ground water pollutant. Journal of Harbin Institute of Technology 7(4),2000. International Conferences 名称 Xuebin Su, Hongzhi Wang, Yan Zhang: Concurrency Control Based on Transaction Clustering. ICDE 2021: 2195-2200 Zhixin Qi, Hongzhi Wang, Haoran Zhang: A Dual-Store Structure for Knowledge s (Extended Abstract). ICDE 2022: 1523-1524 Chunnan Wang, Xiang Chen, Junzhe Wang, Hongzhi Wang: ATPFL: Automatic Trajectory Prediction Model Design under Federated Learning Framework. CVPR 2022: 6553-6562 Xiaoou Ding, Hongzhi Wang, Jiaxuan Su, Muxian Wang, Jianzhong Li, Hong Gao: Leveraging Currency for Repairing Inconsistent and Incomplete Data (Extended Abstract). ICDE 2021: 2315-2316 Chen Ye, Hongzhi Wang, Kangjie Zheng, YouKang Kong, Rong Zhu, Jing Gao, Jianzhong Li: Constrained Truth Discovery (Extended Abstract). ICDE 2021: 2356-2357 Chunnan Wang, Hongzhi Wang, Tianyu Mu, Jianzhong Li, Hong Gao: Auto-Model: Utilizing Research Papers and HPO Techniques to Deal with the CASH problem. ICDE 2020: 1906-1909 Yiming Lin, Hongzhi Wang, Jianzhong Li, Hong Gao: Efficient Entity Resolution on Heterogeneous Records (Extended abstract). ICDE 2020: 2074-2075 Shanshan Han, Hongzhi Wang, Jialin Wan, Jianzhong Li: An Iterative Scheme for Leverage-Based Approximate Aggregation. ICDE 2019: 494-505 Chunnan Wang, Hongzhi Wang, Chang Zhou, Jianzhong Li, Hong Gao: ECOQUG: An Effective Ensemble Community Scoring Function. ICDE 2019: 1702-1705 Hongzhi Wang, Xiaoou Ding, Jianzhong Li, Hong Gao: Rule-Based Entity Resolution on Database with Hidden Temporal Information (Extended Abstract). ICDE 2019: 2143-2144 Yixiang Fang, Zhongran Wang, Reynold Cheng, Hongzhi Wang, Jiafeng Hu: Effective and Efficient Community Search Over Large Directed Graphs (Extended Abstract). ICDE 2019: 2157-2158 Jinglin Peng, Hongzhi Wang, Jianzhong Li, Hong Gao. Set-based Similarity Search for Time Series. SIGMOD 2016 Wei Wang, Hongzhi Wang, Hongjun Lu, Haifeng Jiang, Xuemin Lin, Jianzhong Li. Efficient Processing of XML Path Queries Using the Disk-based F&B Index. VLDB 2005: 145-156. Hongzhi Wang, Xiaodong Zhang, Jianzhong Li, Hong Gao: ProductSeeker: entity-based product retrieval for e-commerce. SIGIR 2013: 1085-1086 Xiaoou Ding, Yida Liu, Hongzhi Wang, Donghua Yang, Yichen Song: SNN-AAD: Active Anomaly Detection Method for Multivariate Time Series with Sparse Neural Network. DASFAA (1) 2023: 253-269 Huaiyuan Liu, Hongzhi Wang, Hekai Huang, Donghua Yang, Yong Tang, Yanhao Huang: PFKMaster: A Knowledge-Driven Flow Control System for Large-Scale Power Grid. DASFAA (4) 2023: 650-657 Xiaoou Ding, Yichen Song, Hongzhi Wang, Donghua Yang, Yida Liu: Cleanits-MEDetect: Multiple Errors Detection for Time Series Data in Cleanits. DASFAA (4) 2023: 674-678 Yu Yan, Bo Zheng, Hongzhi Wang, Jinkai Zhang, Yutong Wang: CnosDB: A Flexible Distributed Time-Series Database for Large-Scale Data. DASFAA (4) 2023: 696-700 Zhixin Qi, Hongzhi Wang: Dirty-Data Impacts on Regression Models: An Experimental Evaluation. DASFAA (1) 2021: 88-95 Hongzhi Wang, Zhixin Qi, Lei Zheng, Yun Feng, Junfei Ouyang, Haoqi Zhang, Xiangxi Zhang, Ziming Shen, Shirong Liu: April: An Automatic Graph Data Management System Based on Reinforcement Learning. ,CIKM 2020: 3465-3468 Zhiyu Liang, Hongzhi Wang, Jijia Yang: STRATEGY: A Flexible Job-Shop Scheduling System for Large Scale Complex Products. DASFAA (3) 2020: 766-770 Zhiyu Liang, Hongzhi Wang, Hao Zhang, Hengyu Guo: GMDA: An Automatic Data Analysis System for Industrial Production. DASFAA (3) 2020: 780-784 Hongzhi Wang, Xiaoou Ding, Xiangying Chen, Jianzhong Li, Hong Gao:CleanCloud: Cleaning Big Data on Cloud. CIKM 2017: 2543-2546 Hongzhi Wang, Mingda Li, Yingyi Bu, Jianzhong Li, Hong Gao, Jiacheng Zhang: Cleanix: A Big Data Cleaning Parfait. CIKM 2014: 2024-2026 Lingli Li, Jianzhong Li, Hongzhi Wang, Hong Gao: Context-based entity description rule for entity resolution. CIKM 2011: 1725-1730 Ruoxi Shi, Hongzhi Wang, Tao Wang, Yutai Hou, Yiwen Tang, Jianzhong Li, Hong Gao:Similarity Search Combining Query Relaxation and Diversification. DASFAA (2) 2017: 65-84. Meifan Zhang, Hongzhi Wang, Jianzhong Li, Hong Gao. One-pass Inconsistency Detection Algorithms for Big Data. DASFAA 2016. Chen Ye, Hongzhi Wang, Jianzhong Li, Hong Gao, Siyao Cheng. Crowdsourcing-enhanced Missing Values Imputation based on Bayesian Network. DASFAA 2016. Yaxuan Wang, Hongzhi Wang, Jianzhong Li, Hong Gao. Efficient Influence Maximization in Weighted Independent Cascade Model. DASFAA 2016. Hongzhi Wang, Jianzhong Li, Xianmin Liu, Jizhou Luo. Query Optimization for Complex Path Queries on XML Data. DASFAA 2009: 389-404. Lingli Li, Hongzhi Wang, Jianzhong Li, Hong Gao. Efficient Algorithms for Skyline Top-K Keyword Queries on XML Streams. DASFAA 2009: 283-287. Rui Guo, Hongzhi Wang, Lucheng Zhong, Jianzhong Li, Hong Gao: Harbinger: An Analyzing and Predicting System for Online Social Network Users's Behavior. DASFAA (2) 2014: 531-534 Zhiyu Liang, Hongzhi Wang, Jianzhong Li, Hong Gao: IMOptimizer: An Online Interactive Parameter Optimization System Based on Big Data. DASFAA 2019 (demo): 581-584 Hongzhi Wang, Jianzhong Li, Ran Huo, Li Jia, Lian Jin, Xueying Men, Hui Xie. HITCleaner: A Light-weight Online Data Cleaning System. Proceedings of DASFAA 2013, 481-484. Demo. Hongzhi Wang, Xueli Liu, Jianzhong Li, Xing Tong, Long Yang, Yakun Li. EntityManager: An Entity-based Dirty Data Management System. Proceedings of DASFAA 2013. 468-471. Demo. Hongqiang Wang, Jianzhong Li, Hongzhi Wang. Clustered Chain Path Index for XML Document: Efficiently Processing Branch Queries. WISE 2006: 474-486. (Best Paper) Rui Zhu, Hongzhi Wang, Yafeng Tang, Bo Xu: ALMSS: Automatic Learned Index Model Selection System. APWeb/WAIM (2) 2021: 440-445 Xiaoou Ding, Hongzhi Wang, Jiaxuan Su, Aoran Xie, Jianzhong Li, Hong Gao: MobiDis: Relationship Discovery of Mobile Users from Spatial-Temporal Trajectories. ER demo 2018: 12-16 Zijue Li, Xiaoou Ding, Hongzhi Wang: An Effective Constraint-Based Anomaly Detection Approach on Multivariate Time Series. APWeb/WAIM (2) 2020: 61-69 Yu Yan, Hongzhi Wang, Jian Zou, Yixuan Wang: Automatic Document Data Storage System Based on Machine Learning. APWeb/WAIM (2) 2020: 551-555 Shengjun Yin, Yaling Yi, Hongzhi Wang: Data Cleaning About Student Information Based on Massive Open Online Course System. ICPCSEE (1) 2020: 33-43 Shengjun Yin, Kailai Yang, Hongzhi Wang: A MOOC Courses Recommendation System Based on Learning Behaviours. ACM TUR-C 2020: 133-137 Yu Yan, Hongzhi Wang: General Model for Index Recommendation Based on Convolutional Neural Network. ICPCSEE (1) 2020: 3-15 Shengjun Yin, Yaling Yi, Hongzhi Wang:Data Cleaning About Student Information Based on Massive Open Online Course System. ICPCSEE (1) 2020: 33-43 Yijie Yang, Yang Song, Yinan An, Yaping Li, Hongzhi Wang. A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics. 2019 IEEE International Conference on Power Data Science (ICPDS). Qinshen Wang, Yinan An, Yaping Li, Hongzhi Wang. Set-based Noise Elimination for Is-a Relations in a Large-Scale Lexical Taxonomy. 2019 IEEE International Conference on Power Data Science (ICPDS). Qinshen Wang, Hongzhi Wang, Bo Zheng: An efficient distributed storage strategy for blockchain. ACM TUR-C 2019: 54:1-54:5 Shengjun Yin, Qingda Shang, Hongzhi Wang, Boxuan Che: The analysis and early warning of student loss in MOOC course. ACM TUR-C 2019: 73:1-73:6 Feng Xiong, Kaifa Zou, Zhemin Liu, Hongzhi Wang: Predicting learning status in MOOCs using LSTM. ACM TUR-C 2019: 74:1-74:5 Dongsheng Li, Shengfei Shi, Yan Zhang, Hongzhi Wang, Jizhou Luo: An Anomaly Detection Method Based on Learning of "Scores Sequence". ICPCSEE (2) 2018: 296-311 Fanshan Meng, Tianbai Yue, Hongzhi Wang, Hong Gao, Yaping Li: SFSC: Segment Feature Sampling Classifier for Time Series Classification. ICPCSEE (1) 2018: 332-346 Haoran Zhang, Jianzhong Li, Hongzhi Wang: Statistical Learning-Based Prediction of Execution Time of Data-Intensive Program Under Hadoop2.0. ICPCSEE (1) 2018: 403-414 Tianyu Li, Shengfei Shi, Jizhou Luo, Hongzhi Wang: A Method to Identify Spark Important Parameters Based on Machine Learning. ICPCSEE (1) 2018: 525-538 Wei Yin, Tianbai Yue, Hongzhi Wang, Yanhao Huang, Yaping Li: Time Series Cleaning Under Variance Constraints. DASFAA Workshops 2018: 108-113 Fei Li, Guowen Zhou, Xingshuo Li, Linhai Zhu, Hongzhi Wang. A symbolic reasoning based anomaly detection for gas turbine subsystems. 2017 Prognostics and System Health Management Conference (PHM-Harbin) Yanjie Wei, Hongzhi Wang, Shengfei Shi, Hong Gao, Jianzhong Li: Any-Time Methods for Time-Series Prediction with Missing Observations. BigData Congress 2017: 427-430 Hongzhi Wang, Hong Gao, Shenjun Yin, Jie Zhu:The design of course architecture for big data. ACM TUR-C 2017: 13:1-13:6 Xiaoou Ding, Hongzhi Wang, Yitong Gao, Jianzhong Li, Hong Gao:Determining the currency of dynamic data. ACM TUR-C 2017: 17:1-17:6 Amina Belhassena, Hongzhi Wang: Distributed skyline trajectory query processing. ACM TUR-C 2017: 19:1-19:7 Zhixin Qi, Hongzhi Wang, Fanshan Meng, Jianzhong Li, Hong Gao:Capture Missing Values with Inference on Knowledge Base. DASFAA Workshops 2017: 185-194 Yiwen Tang, Hongzhi Wang, Shiwei Zhang, Huijun Zhang, Ruoxi Shi:Efficient Web-Based Data Imputation with Graph Model. DASFAA Workshops 2017: 213-226 Ming Sun, Hongzhi Wang, Fanshan Meng, Jianzhong Li, Hong Gao:Incomplete Data Classification Based on Multiple Views. APWeb (2) 2016: 239-250 Shanshan Han, Hongzhi Wang, Hong Gao, Jianzhong Li, Shenbin Huang:Fuzzy Keywords Query. APWeb (2) 2016: 251-262 Ming Sun, Hongzhi Wang, Jianzhong Li, Hong Gao, Shenbin Huang:A Chronic Disease Analysis System Based on Dirty Data Mining. APWeb (2) 2016: 552-555 Jiahong Li, Hongzhi Wang, Shengqiang Zhang, Xiangyu Gao, Ziqi Qu, Shenbin Huang:An Alarming and Prediction System for Infections Disease Based on Combined Models. APWeb (2) 2016: 583-587 Xintong Guo, Hong Gao, Hongzhi Wang. Image Clustering Based on the Human Intelligence. 2015 International Conference on Intelligent Systems and Knowledge Engineering. Kaiqi Zhang, Donghua Yang, Hong Gao, Jianzhong Li,Hongzhi Wang, Zhipeng Cai: VMPSP: Efficient Skyline Computation Using VMP-Based Space Partitioning. DASFAA Workshops 2016: 179-193 Yitong Gao, Yan Zhang, Hongzhi Wang, Jianzhong Li, Hong Gao: A Distributed Load Balance Algorithm of MapReduce for Data Quality Detection. DASFAA Workshops 2016: 294-306 Kaiqi Zhang, Hong Gao, Hongzhi Wang, Jianzhong Li: ISSA: Efficient Skyline Computation for Incomplete Data. DASFAA Workshops 2016: 321-328 MingLiang Yue, Hong Gao, Shengfei Shi, Hongzhi Wang: Join Query Processing in Data Quality Management. DASFAA Workshops 2016: 329-342 Yanzheng Wang, Hong Gao, Shengfei Shi, Hongzhi Wang: Similarity Search on Massive Data Based on FPGA. DASFAA Workshops 2016: 343-352 Chang Lu, Hongzhi Wang, Yan Zhang, Hong Gao. Euclidean-based Entity Resolution for Evolving Data. 2015 Fifth International Conference on Instrumentation and Measurement, Computer, Communication and Control. Ke Lin, Siyao Cheng, Yingshu Li, Jianzhong Li, Hong Gao, Hongzhi Wang: SHMDRS: A Smartphone-Based Human Motion Detection and Response System. WASA 2016: 174-185 Yang Song, Hongzhi Wang, Jianzhong Li, Hong Gao. MapReduce for Big Data Analysis: Benefits, Limitations and Extensions. ICYCSEE 2016, Part I, CCIS 623, pp. 453–457, 2016. Qian Liu, Hongzhi Wang, and Shaoying Song. HierarSearch: Enhancing Performance of Search Engines by Mining Semantic Relationships Among Results. ICYCSEE 2016, Part II, CCIS 624, pp. 201–205, 2016. Wei Qu, Siyao Cheng, and Hongzhi Wang. Efficient File Accessing Techniques on Hadoop Distributed File Systems. ICYCSEE 2016, Part I, CCIS 623, pp. 350–361, 2016. Jinglun Li, Shengfei Shi, and Hongzhi Wang. Optimization Analysis of Hadoop. ICYCSEE 2016, Part I, CCIS 623, pp. 520–532, 2016. Ming Yan, Yan Zhang, Hongzhi Wang: Tree-Based Metric Learning for Distance Computation in Data Mining. APWeb 2015: 377-388 Xiaoou Ding, Hongzhi Wang, Dan Zhang, Jianzhong Li, Hong Gao: A Fair Data Market System with Data Quality Evaluation and Repairing Recommendation. APWeb 2015: 855-858 Yue Wang, Hongzhi Wang, Chen Ye, Hong Gao. Graph Similarity Join with K-Hop Tree Indexing. ICYCSEE 2015, Communications in Computer and Information Science Volume 503, 2015, pp 38-47. Jie Pan, Hongzhi Wang, Hong Gao, Wenxuan Zhao, ongxing Huo,Huirong Dong. Paradise Pointer : A Sightseeing Scenes Images Search Engine Based on Big Data Processing. ICYCSEE 2015, Communications in Computer and Information Science Volume 503, 2015, pp 448-452 Qiqi Shi, Hongzhi Wang, Dong Li, Xinfei Shi, Chen Ye, Hong Gao. Maximal Influence Spread for Social Network Based on MapReduce. ICYCSEE 2015, Communications in Computer and Information Science Volume 503, 2015, pp 128-136 Chen Ye, Hongzhi Wang, Keli Li, Qian Chen, Jianhua Chen, Jiangduo Song, Weidong Yuan: CrowdCleaner: A Data Cleaning System Based on Crowdsourcing. APWeb 2014: 657-661 Guangze Liu, Hongzhi Wang, ChengHui Chen, Hong Gao: TruthOrRumor: Truth Judgment from Web. APWeb 2014: 674-678 Hang Zhang, Hongzhi Wang, Jianzhong Li, Hong Gao. Neighbor-base Similarity Matching for Graphs, CloudDB 2014, 191-198. Ye Chen, Hongzhi Wang. Capture Missing Values based on Crowdsourcing. WASA 2014 Workshop. Yan Zhang, Hongzhi Wang. Accuracy Evaluation for Sensed Data. WASA 2014 Mingda Li, Hongzhi Wang and Ye Li. Sectional and Conditional Functional Dependencies. WASA 2014 Workshop. Chen Ye, Hongzhi Wang. Truth discovery based on Crowdsourcing. WAIM 2014. Xiaojie Lin, Rui Zhang, Zeyi Wen, Hongzhi Wang, Jianzhong Qi: Efficient Subgraph Matching Using GPUs. ADC 2014: 74-85 Li Jia, Hongzhi Wang, Jianzhong Li, Hong Gao: Incremental Truth Discovery for Information from Multiple Data Sources. WAIM Workshops 2013: 56-66 Huabin Feng, Hongzhi Wang, Jianzhong Li, Hong Gao: Entity Resolution on Uncertain Relations. WAIM 2013: 77-86 Lian Jin, Hongzhi Wang, Hong Gao: Imputation for Categorical Attributes with Probabilistic Reasoning. WAIM 2013: 87-98 Rui Guo, Hongzhi Wang, Kaiyu Li, Jianzhong Li, Hong Gao: CUVIM: Extracting Fresh Information from Social Network. WAIM 2013: 351-362 Hui Xie, Hongzhi Wang, Jianzhong Li, Hong Gao: A Data Cleaning Framework Based on User Feedback. WAIM 2013: 514-520 Yan Zhang, Long Yang, Hongzhi Wang: Range Query Estimation for Dirty Data Management System. WAIM 2012: 152-164 Xing Tong, Hongzhi Wang: Fgram-Tree: An Index Structure Based on Feature Grams for String Approximate Search. WAIM 2012: 241-253 Xueli Liu, Hongzhi Wang: Dynamic Graph Shortest Path Algorithm. WAIM 2012: 296-307 Cong Wang, Hongzhi Wang: Graph-Structured Data Compression Based on Frequent Subgraph Contraction. GDMM 2012: 11-18. Bingyi Qian, Hongzhi Wang, Jianzhong Li, Hong Gao: Path-Based XML Stream Compression with XPath Query Support. XML-DM 2012: 329-339. Xu Bian, Hongzhi Wang, Hong Gao: Schema Mapping with Quality Assurance for Data Integration. XML-DM 2011: 472-483. Liu Yongnan,Wang Hongzhi,Gao Hong. A Fast Entity Resolution Method based on Wave of Records. CECNet2011. Qian Liu, Hongzhi Wang, Hong Gao, Qi Lv, Jianyu Fu. A Recommendation Method in E-commerce based on product taxonomy graph. 13th IEEE Joint International Computer Science and Information Technology Conference(JICSIT 2011). Qing Wang, Shouxu Jiang, Hongzhi Wang, Hong Gao. AIIS: An Efficient String Index on Inconsistent Data. 2011 international conference on Computer Science and Information Engineering (CSIE2011). Yakun Li, Hongzhi Wang, Hong Gao. Efficient Entity Resolution based on Sequence Rules. 2011 international conference on Computer Science and Information Engineering (CSIE2011). Yue Wang, Hongzhi Wang, Yang Wang, Hong Gao. Similarity Join on XML Based on k-Generation Set Distance. XML-DM 2011: 124-135. Fei Li, Hongzhi Wang, Liang Hao, Jianzhong Li, Hong Gao: pq-Hash: An Efficient Method for Approximate XML Joins. XML-DM 2010: 125-134 Qing Wang, Hongzhi Wang, Hong Gao, Jianzhong Li: Compression Algorithms for Structural Query Results on XML Data. XML-DM 2010: 141-145 Fei Li, Hongzhi Wang, Cheng Zhang, Liang Hao, Jianzhong Li, Hong Gao: Approximate Joins for XML Using g-String. XSym 2010: 3-17 Hongzhi Wang, Wei Wang, Jianzhong Li, Xuemin Lin, Reymond Wong: Practical Indexing XML Document for Twig Query. ASIAN 2005: 208-222. Hongzhi Wang, Jianzhong Li, Shuguang Xiong. Efficient Join Algorithms for Integrating XML Data in Grid Environment. GCC 2005: 547-553. Hongzhi Wang, Wei Wang, Xuemin Lin, Jianzhong Li. Subgraph Join: Efficient Processing Subgraph Queries on Graph-Structured XML Document. WAIM 2005: 68-80. Hongzhi Wang, Jianzhong Li, Zhenying He, Hong Gao. OLAP for XML Data. CIT 2005: 233-237. Hongzhi Wang, Wei Wang, Xuemin Lin, Jianzhong Li. Labeling Scheme and Structural Joins for Graph-Structured XML Data. APWeb 2005: 277-289. Hongzhi Wang, Jianzhong Li, Zhenying He. Optimized Query Translation Strategy for XML Stored in Relational Database. WAIM 2004: 378-388. Hongzhi Wang, Jianzhong Li, Jizhou Luo, Zhenying He. XCpaqs: Compression of XML Document with XPath Query Support. ITCC (1) 2004: 354-357. Hongzhi Wang, Jianzhong Li, Zhenying He, Hong Gao. Xaggregation: Flexible Aggregation of XML Data. WAIM 2003: 104-115. Hongzhi Wang, Jianzhong Li, Zhenying He, Jizhou Luo. Web Information Integration Based on Compressed XML. DNIS 2003: 122-137. Hongzhi Wang，Jianzhong Li, Zhenying He. INEXP: Information Exchange Protocol for Interoperability. INEXP: Information Exchange Protocol for Interoperability. ICADL 2002. Hongzhi Wang, Jianzhong Li, Zhenying He. An Effective Wrapper Architecture to Heterogeneous Data Source. AINA 2003: 565-569. Guohua Jiang, Hongzhi Wang, Shouxu Jiang, Jianzhong Li, Hong Gao: DCUBE: CUBE on Dirty Databases. WAIM 2010: 507-512. Mohan Li, Hongzhi Wang, Jianzhong Li, Hong Gao: Efficient Duplicate Record Detection Based on Similarity Estimation. WAIM 2010: 595-607. Lingli Li, Hongzhi Wang, Hong Gao, Jianzhong Li: EIF: A Framework of Effective Entity Identification. WAIM 2010: 717-728. Lingli Li, Hongzhi Wang, Jianzhong Li, Jizhou Luo. Efficient Top-k Keyword Search on XML Streams. ICYCS 2008: 1041-1046. Xianmin Liu, Jianzhong Li, Hongzhi Wang. SAM: An Efficient Algorithm for F&B-Index Construction. APWeb/WAIM 2007: 697-708. Hongqiang Wang, Jianzhong Li, Hongzhi Wang. Clustered Absolute Path Index for XML Document: On Efficient Processing of Twig Queries. APWeb Workshops 2006: 1-10. Xin Zhan, Jianzhong Li, Hongzhi Wang, Zhenying He. Caching Frequent XML Query Patterns. APWeb Workshops 2006: 68-75. Jizhou Luo, Jianzhong Li, Hongzhi Wang, Yanqiu Zhang, Kai Zhao. The Compression of Massive Offline Relations. WAIM 2004: 634-639. Jinghua Zhu, Jianzhong Li, Jizhou Luo, Wei Zhang, Hongzhi Wang. C-kNN Query Processing in Object Tracking Sensor Networks. WASA 2008: 432-443. 中文期刊 (Chinese Journals) 名称 王宏志，骆吉洲，李建中. 图结构XML数据子图查询的高效处理算法. 软件学报. 2009,20(9): 2436-2449 王宏志，李建中，骆吉洲. XML数据流上的高效聚集算法. 软件学报. 2008,19(8): 2032-2042. 王宏志, 李建中, 高宏. 一种非清洁数据库的数据模型. 2012,软件学报, 23(3):539-549. 梁峥,王宏志,戴加佳,邵心玥,丁小欧,穆添愉.预训练语言模型实体匹配的可解释性[J].软件学报,2023,34(03):1087-1108. 丁小欧,李映泽,王晨,王宏志,李昊轩.兼顾行列的时序数据质量规则发现[J].软件学报,2023,34(03):1065-1086. 杨东华,邹开发,王宏志,王金宝.基于 Seq2Seq 模型的 SparQL 查询预测.软件学报,2021,32(3):805？817. 叶晨,王宏志,高宏,李建中.面向众包数据清洗的主动学习技术.软件学报,2020,31(4):1162–1172. 丁小欧,于晟健,王沐贤,王宏志,高宏,杨东华.基于相关性分析的工业时序数据异常检测.软件学报,2020,31(3): 726？747 齐志鑫,王宏志,周雄,李建中,高宏.劣质数据上代价敏感决策树的建立.软件学报,2019,30(3):604-619 缪丰羽,王宏志.一种不确定图数据库上的相似性连接方法[J].软件学报,2018,29(10):3150-3163. 王鹤澎,王宏志,李建中,高宏.不一致数据上精确决策树生成算法.软件学报,2017,28(11):2814？2824. 丁小欧,王宏志,张笑影,李建中,高宏.数据质量多种性质的关联关系研究.软件学报,2016,27(7). 王鹤澎,王宏志,李佳宁,孔欣欣,李建中,高宏. 面向新型处理器的数据密集型计算. 软件学报doi: 10.13328/j.cnki.jos.005060 李建中, 王宏志. 大数据可用性的研究进展. 软件学报,2016,27(7). 黎玲利,王宏志,高宏,李建中. XML数据流上Top-K关键字查询处理. 软件学报,2012,23(6):1561-1577. 李亚坤, 王宏志, 高宏, 李建中. 基于实体描述属性技术的XML重复对象检测方法. 计算机学报, 2011, 34(11), 2131-2141. 刘雪莉, 王宏志,李建中,高宏.基于实体的相似性连接算法. 软件学报,2015,26:(6):1421-1437. 王宏志，樊文飞. 复杂数据上的实体识别技术研究. 计算机学报. 2011, 34(10), 1843—1852. 王宏志,熊风, 邹开发, 刘哲敏. 教育大数据分析:方法与探索.《中国大学教学》, 2017 (5) 王宏志. 互联网金融：是机遇还是泡沫. 中国计算机学会通讯，第10卷, 第8期，50-53. 王宏志. 大数据质量管理：问题与研究进展. 科技导报2014，32(34): 78-84 丁小欧,王宏志,于晟健.工业时序大数据质量管理[J].大数据,2019,5(06):1-11. 李博,郑博,郭子阳,王宏志.区块链技术在金融方向应用的发展及展望[J].应用科学学报,2019,37(02):151-163. 张征, 王宏志, 丁小欧, 李建中, 高宏. 社交网络中同一用户的识别. 计算机科学 46(9)，93-98. 2019 缪丰羽,王宏志,阮群生.一种基于MapReduce的不确定图上的相似性连接方法[J].计算机科学,2018,45(12):299-307. 陈志注，王宏志，熊风，张义策，高宏，李建中．大数据拍卖的定价策略与方法．中国科学技术大学学报，2018, 18(6): 486-494 王宏志, 梁志宇, 李建中, 高宏. 工业大数据分析综述:模型与算法. 大数据, 62-79, 2018. 梁志宇,王宏志,李建中,高宏. 制造业中的大数据分析技术应用研究综述. 机械, 45(6), 1-13, 2018. 孔欣欣，苏本昌，王宏志*，高宏，李建中，基于标签权重评分的推荐模型及算法研究，计算机学报，2015，Vol.38：在线出版号No.23 杨东华, 李宁宁, 王宏志*, 李建中, 高宏. 基于任务合并的并行大数据清洗过程优化. 计算机学报，2015，Vol.38：在线出版号No.37 张岩，唐兴，王宏志*. 劣质数据库上查询优化策略. 小型微型计算机系统, Vol．35 No. 11, 2410-2415，2014. 张岩,杨龙, 王宏志*.劣质数据库上阈值相似连接结果大小估计.计算机学报,35(10),2012. 骆吉洲,李建中,王宏志.压缩数据库中一种自适应直方图的构建.软件学报,2009,20(7):1785-1799. 王洪强,李建中,王宏志.基于F&B索引的XML查询处理算法.计算机研究与发展47(5): 866-877, 2010. 张硕, 李建中, 王宏志, 何震瀛 . 基于扩展编码的在线XML文档加载机制. 计算机研究与发展, 2004, 41 (10): 1829-1835. 霍然,王宏志,朱鎔,李建中,高宏. 基于Map-Reduce的大数据实体识别算法. 第一届全国大数据会议，计算机研究与发展(增刊) 朱乾坤,王宏志, 高宏.在线RFID多复杂事件查询处理技术.计算机科学与探索,2011, 5(09): 845-856.( NDBC2011萨师煊优秀论文奖) 缪丰羽,王宏志.图结构模糊XML文档上的模式匹配算法[J].计算机科学,2016,43(11):284-290 刘雪莉，王宏志，李建中，高宏.实体数据库中多相似连接顺序选择策略.计算机科学与探索, 6(10)，2012. 张岩，杨忠胜，王宏志，高宏，李建中.基于压缩直方图的劣质数据库上相似连接结果大小估计. 小型微型计算机系统，2012(10), 2012. 李明达，王宏志，张佳程，李建中，高宏. PEIF: 基于并行机群的大数据实体识别算法. 第30届中国数据库学术会议. 丁小欧,王宏志,朱鎔,李建中,高宏. 基于数据质量评估的数据交易系统. 全国数据库会议 2014 系统演示. 魏延杰,王宏志,李言路,李建中,高宏. 微博小医生：基于新浪微博的医疗建议系统. 全国数据库会议 2014 系统演示. 李可利,王宏志,叶晨,郭欣彤,李建中,高宏. 关于数据密集型的众包清洗平台. 全国数据库会议 2014 系统演示. 于文涛,王宏志. 不完整数据上高效Skyline查询处理算法. 全国数据库会议 2014. 李佳宁,王宏志,李建中,高宏. 地理数据文本库上Top-k模糊查询技术研究. 全国数据库会议 2014. 金连,王宏志,高宏. 基于Map-Reduce的大数据缺失值填充算法. 第30届中国数据库学术会议. 叶晨,王宏志,李建中,高宏. 基于众包的电子商务数据实体分类系统. 第30届中国数据库学术会议. 张晓东,王宏志,高宏,李建中.一个针对电子商务数据的在线实体分类系统. 计算机研究与发展 增刊，2012. 佟星,王宏志,李建中,高宏.基于树结构索引的带权值字符串的 Top-k 查询算法.计算机研究与发展 增刊，2012. 周小田,王宏志,郭翔宇,胡筱,董志鑫,李建中,高宏. 基于 probase 的互联网商品信息分类与推荐系统. 2012年全国数据库会议(NDBC 2012), 系统演示. 姜国华,姜守旭,王宏志,李建中,高 宏.标签劣质的XML数据上的查询处理. 计算机科学与探索,2011,5(8): 673-685. 刘永楠,王宏志,高宏.MapReduce框架下基于字符串波形的实体识别方法. 计算机科学与探索,2011,5(8): 730-739 孟啸, 王宏志, 高宏, 李建中. bibEOS:一个高质量的社会化文献检索与管理系统. 第二十六届中国数据库学术会议, 2010,计算机科学与探索, 4(1): 54-63. 何震瀛, 李建中, 商超, 王宏志. 功能完全的XML数据查询语言X-SQL. 哈尔滨工业大学学报. 38(5): 678-681, 2006. 张航, 王宏志, 李建中, 高宏. 基于2-hop优化的子图模式匹配算法. 黑龙江大学自然科学学报, 2010, (01) :78-82. (黑龙江省计算机学会年会议优秀论文) 张春鹤, 李建中, 王宏志. 动态图结构XML数据上的查询处理算法. 第二十四届中国数据库学术会议, 2007,计算机研究与发展, 44（增刊） (10): 374-378. (第二十四届中国数据库会议优秀论文) 王宏志,李建中,何振瀛,石胜飞,李金宝. 基于XML的传感器网络数据处理. 计算机研究与发展 第40卷(增刊). 188-191, 2003. 王宏志, 李建中, 骆吉洲, 张艳秋. 海量关系数据库的压缩存储与查询策略. 计算机研究与发展增刊第40卷(增刊)，337-341, 2003. 科研项目/Fundings 项目名称 数据质量管理中实体识别关键技术的研究 项目来源 国家自然科学基金青年基金 开始时间 2011-01-01 结束时间 2013-12-01 项目经费 担任角色 项目类别 项目状态 简单介绍 项目名称 海量数据质量管理关键技术的研究 项目来源 中国博士后基金特别资助 开始时间 2010-09-01 结束时间 2013-05-01 项目经费 担任角色 项目类别 项目状态 简单介绍 项目名称 海量图数据量质融合管理关键技术的研究 项目来源 哈尔滨工业大学科研创新基金 开始时间 2012-06-01 结束时间 2014-05-01 项目经费 担任角色 项目类别 项目状态 简单介绍 项目名称 Uncertain Data Management Over Internet of Things 项目来源 IBM中国研究院联合研究项目 开始时间 2012-01-01 结束时间 2012-12-01 项目经费 担任角色 项目类别 项目状态 简单介绍 项目名称 电子商务中基于实体的查询处理关键技术的研究 项目来源 阿里巴巴青年学者支持计划 开始时间 2010-04-01 结束时间 2011-03-01 项目经费 担任角色 项目类别 项目状态 简单介绍 项目名称 不确定数据管理的理论与关键技术 项目来源 国家自然科学基金重点项目 开始时间 2010-01-01 结束时间 2013-12-01 项目经费 担任角色 项目类别 项目状态 简单介绍 项目名称 非确定传感网络数据整合 项目来源 国家自然科学基金NSF-RGC项目 开始时间 2009-01-01 结束时间 2011-12-01 项目经费 担任角色 项目类别 项目状态 简单介绍 项目名称 压缩XML数据库关键技术的研究 项目来源 国家自然科学基金面上项目 开始时间 2008-01-01 结束时间 2008-12-01 项目经费 担任角色 项目类别 项目状态 简单介绍 项目名称 图数据库系统查询处理关键技术的研究 项目来源 国家自然科学基金面上项目 开始时间 2008-01-01 结束时间 2010-12-01 项目经费 担任角色 项目类别 项目状态 简单介绍 项目名称 传感器网络系统基础软件及数据管理技术的研究 项目来源 国家自然科学基金重点项目 开始时间 2006-01-01 结束时间 2009-12-01 项目经费 担任角色 项目类别 项目状态 简单介绍 项目名称 压缩数据库系统关键技术的研究 项目来源 国家自然科学基金面上项目 开始时间 2003-01-01 结束时间 2005-12-01 项目经费 担任角色 项目类别 项目状态 简单介绍 Mahout-R 名称 A hadoop-based big data analysis system. We implment R languaue based on Hadoop. Since Mahout is a hadoop-based big data analysis system, we first wrap-up Mahout to support R. Then for the functions in R that are not supported by Mahout, we attempt to design new MapReduce algorithms and implment them on Hadoop. the Bayes network function for R is coming soon 2015.4.2 update the first edition Mahout-R details see https://github.com/novas-meng/mahoutr#mahoutr 专利 专利名称 专利号 发明人 申请时间 专利类别 简单介绍