!!!Dr.  Yanghua Xiao (肖仰华)

[{Image src='http://gdm.fudan.edu.cn/GDMWiki/attach/Researchers/my.jpg' width='..' height='..' align='left' style='..' class='..' }] \\

__Associate Professor__\\
Shanghai (International) Database Research Center \\
School of Computer Science \\
Fudan University \\
Office: Room 217-3, Software Buliding, No.825 Zhangheng Rd, Shanghai, China\\ 
Email: shawyanghua at gmail.com, shawyh at fudan.edu.cn\\
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__[Yanghua Xiao (肖仰华)|yanghuaxiao]__.Yanghua Xiao got his PHD degree in software theory from Fudan University, Shanghai, China, in 2009. He now is an associate professor of computer science at Fudan University. He is one of young ‘973’ scientists. His research interest includes big data management and mining, graph database, knowledge graph. He was a visiting professor of Human Genome Sequencing Center at Baylor College Medicine, and visiting researcher of Microsoft Research Asia. He won the Best Phd Thesis Nomination of CCF (Chinese Computer Federation) in year 2010,CCF2014 Natural Science Award (second level), ACM(CCF) Shanghai distinguished young scientists nomination award. Recently, he has published 70+ papers in international leading journals and top conferences, including TKDE, Pattern Recognition, Physical Review E, Plos One; SIGMOD,VLDB, ICDE, IJCAI, AAAI, EDBT, ICSE, OOPSLA, WWW, ICDM, SDM, ECML/PKDD, ICWS, ICSM, CIKM, EMNLP etc. He is the PI or Co-PI of 30+ projects supported by 10+ National and Local funding agency and big companies including Microsoft, IBM, HUAWEI, China Telecom, China Mobile, Baidu, XiaoI Robot etc. He regularly serves as the reviewer of 10+ national and local funding agencies and PC members of 50+ top conferences including IJCAI, AAAI, SIGKDD, ICDE, WWW, CIKM, ICDM, SDM etc. He is the Associate Editor of Frontier of Computer Science, and reviewers of 10+ leading journals such as Plos One, IEEE Tansaction on Computers, TKDE. He is a member of ACM, IEEE, AAAI and senior member of CCF. He is the director of Knowledge Works at FUDAN Uni. He built the first knowledge service platform in China (kw.fudan.edu.cn), which serves industries with 200Millions+ API calls. He is the chief scientist or senior advisors of many top Chinese big data companies or AI companies.
\\
__[Yanghua Xiao (肖仰华)|yanghuaxiao]__博士,GDM@FUDAN负责人。于2009年获得复旦大学计算软件理论博士学位。复旦大学计算机学院副教授、博导、青年973科学家、上海市互联网大数据工程中心执行副主任、上海市数据科学重点实验室知识图谱研究室主任、省部级重点实验室或工程中心专家委员、上市公司等规模企业高级技术顾问或首席科学家。主要研究兴趣包括:大数据管理与挖掘、图数据库、知识图谱等。曾访问美国贝勒医学院人类基因组测序中心从事海量基因序列数据管理研究,受到微软“铸星计划”支持访问微软亚洲研究院从事十亿规模大图数据管理和知识图谱的研究工作。曾获得中国计算机学会2010年度优秀博士论文提名奖、教育部高校科研成果二等奖、CCF2014自然科学二等奖、ACM(CCF)上海杰出青年科学家提名奖。作为负责人承担30多项各类国家课题与企业课题,受到国家自然科学基金委员会、科技部、教育部、发改委、上海市科委、上海市经信委、微软、IBM、中国电信、百度、华为等相关机构的资助。至今已经在相关领域顶级、知名国际期刊与会议发表论文70多篇,其中包括TKDE, Physical Review E, Plos One, Pattern Recognition; SIGMOD, VLDB, ICDE, IJCAI, AAAI, ICSE, OOPSLA, WWW, EMNLP, EDBT, ICDM, ECML/PKDD, SDM, ICWS, ICSM, CIKM。担任SCI期刊Frontier of Computer Science青年副主编,长期担任众多国际顶级与知名学术会议的程序委员会委员,包括IJCAI,SIGKDD, ICDE, WWW, CIKM, ICDM, COLING,SDM等等;常年担任包括科技部、教育部、国家自然科学基金、省级自然科学基金与政府专项基金以及各类获奖项目、人才奖项的评审专家;常年担任国际知名学术期刊Plos One, IEEE Tansaction on Computers, TKDE, KIS, WWW Journal, JCST, Physica A, IEEE Intelligent System, BMC Bioinformatic, Distributed and Parallel Database等评审人。是ACM、IEEE、AAAI会员和CCF高级会员。领导团队构建国内首个知识库云服务平台(知识工场平台kw.fudan.edu.cn)。该平台目前已经服务相关企业近2一次API调用。



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!!!Teaching
#[Frontier of Big Data Management and Mining], for graduated students
##Spring 2016 at Fudan
#[Database System Management and Tuning|dbtune], for graduated students
##Fall 2015 at Fudan
##Fall 2015 at Fudan
##Fall 2014 at Fudan
##Fall 2013 at Fudan
##[Fall 2012 at Fudan|Zhangkezun]
##Fall 2010 at Fudan
##Fall 2009 at Fudan
#Computer Multimedia and Image Processing, for undergraduate students
##Fall 2010 at Fudan
##Fall 2009 at Fudan
#[Advanced Office Automation|oa], for undergraduate students 
##[Fall 2012 at Fudan|oa2012]
##Fall 2009 at Fudan
#A Guide to Computer Science Research
##Spring 2013 at Fudan

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!!!Professional Services
!!Associate editor
# Frontier of computer science, since 2013

!!Conference organization (by default as program committee members):
#Year 2018
##BigComp2018 (The 5th International Conference on Big Data and Smart Computing), Web Chair
#Year 2017
##IJCAI(Session Chair), COMPSAC(Session Chair), AAAI(Session Chair)
##CIKM(Research Track and Demo Track) 
##SDM, ASONAM,SKG, APWEB-WAIM, NLPCC,TSM, KDIR, PIC
##MLDS2017 (International Conference on Machine Learning and Data Science)
##CCKS2017 (China Conference on Knowledge Graph and Semantic Computing), Evaluation Chair
##ICSW2017 (The 1st International Conference of Smart World 2017), Session Co-Chair
##BigCom2017 (The 3rd International Conference on Big Data Computing and Communications)
##eKNOW2017 (The Ninth International Conference on Information,Process, and Knowledge Management)
##ICBK2017 (IEEE International Conference on Big Knowledge)

#Year 2016
##SIGKDD, CIKM, SDM, ICDM, DASFAA, APWEB, WAIM, ASONAM,ODBASE,SKG
##DSC(International Conference on Data Science in Cyberspace)
##KDIR(Knowledge Discovery and Information Retrieval)
##NLPCC(Conference on Natural Language Processing and Chinese Computing)
##TSP(International Symposium on Trust, Security and Privacy for Emerging Applications)
##SocialSec(2nd International Symposium on Security and Privacy in Social Networks and Big Data)
##PIC2016(The2 016 International Conference on Progress in Informatics and Computing)

#Year 2015
##SIGKDD, IJCAI, CIKM, WAIM, ODBASE
# Year 2014
##SIGKDD,COLING, CIKM, ICDM, WAIM, SKG, ODBASE, APSCC
# Year 2013:
##CIKM: Conference on Information and Knowledge Management (Poster Track)
##ODBASE:12th International Conference on Ontologies, DataBases, and Applications of Semantics 
##WWW: 22nd International World Wide Web Conference
##ICDE: IEEE International Conference on Data Engineering
##WAIM: 14th Internation Conference on Web-Age Information Management
# Year 2012: 
##CIKM: Conference on Information and Knowledge Management (Both Database Track and Poster Track)
##WAIM: 13th Internation Conference on Web-Age Information Management
# Year 2011: KDD,ICDM, WAIM, IGDM, ICDM Phd Forum
##SIGKDD: The 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
##ICDM: 2011 International Conference on Data Mining
##WAIM: 12th Internation Conference on Web-Age Information Management
##GDM: The 2nd International Workshop on Graph Data Management: Techniques and Applications
##SCOPE: 2011 Sixth International Symposium on Parallel Computing in Electrical Engineering
##EIDWT: 2011 International Conference on Emerging Intelligent Data and Web Technologies
##IEEE ICDM 2011 PhD Student Forum
##Data Mining Technologies for Computational Collective Intelligence
# Year 2010: 
##IWGD: The First International Workshop on Graph Database

!!Reviewers:
# 上海市松江信息化项目评审人
# 上海市科委项目评审人
# 上海市经信委项目评审人
# 教育部自然科学奖项 评审人
# 霍英东基金 评审人
# 江苏省科技厅自然科学技术奖 评审人
# 科技部重大专项 评审人
# Natural Science Foundation of China (NSFC)
# Natural Science Foundation of Jiangsu Province
# Plos One
# IEEE Transaction on Data Engineering (TKDE)
# Knowledge and Information Systems (KIS), 
# Springer Journal of Computer Science and Technology (JCST)
# WWW Journal
# IEEE Intelligient System
# Distributed and Parallel Databases
# IEEE Transactions on Computers
# Journal of Parallel and Distributed Computing (JPDL)
# Journal of Data Semantic
# BMC Bioinformatic
# Physica A
# 计算机学报
# 软件学报
# 东北大学学报
# 华东师范大学学报
# 控制工程

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!!! Research

!!Visiting
# Jun 2016- Oct 2016, Beijing, China, Visiting Researcher at Microsoft Research Asia, for large scale reasoning in knowledge graph.
# Aug 2013- Sep 2013, Hongkong, China, Visiting Professor of Chinese University of Hong Kong, for Managing and Mining Big Knowledge Graphs.
# Jun 2011- July 2012, Beijing, China, Visiting Researcher at Microsoft Research Asia, for Massive Graph Data Processing in Distributed Memory System; and large scale knowlege base.
# Feb 2011- Apr 2011, Houston, USA, Visiting Professor of Human Genome Sequencing Center at Baylor College of Medicine, for Large Scale Genome Sequence Data Processing, 


!!Awards

#2010年度CCF优秀博士论文提名奖(CCF Best Phd Thesis Nomination of year 2010). 
#2010年度复旦大学优秀博士论文奖(Best Phd Thesis of Fudan University of year 2010).
##My phd thesis: __Graph Symmetry and Its application in Data Management__ [pdf|Yanghuaxiao/thesis.pdf].
#2012年度教育部高校科研成果二等奖
#2013年度南通市第八届自然科学优秀学术论文一等获
#2013ACM(CCF)上海杰出青年科学家提名奖
#2014CCF自然科学二等奖
#2014年度NDBC优秀学生论文奖
#2016年度上海数据库与数据挖掘优秀论文候选奖
#2017年度教育部高校科研成果二等奖
#2017年度阿里巴巴Research Fellow


!!Talks and Tutorials
#基于知识图谱的机器语言认知,邀请报告,桂林电子科技大学,2017-11-1,桂林,中国
#基于知识图谱的问答系统关键技术,邀请报告,滴滴,2017-10-20,杭州,中国
#知识图谱研究的回顾与展望,邀请报告,华东师范大学,2017-10-19,上海,中国
#基于知识图谱的机器语言认知,邀请报告,解放军信息工程大学,2017-10-16,郑州,中国
#基于知识图谱的可解释人工智能:机遇与挑战,邀请报告,CIIS2017 中国智能产业高峰论坛,2017-10-13,佛山,广州
#大规模知识图谱构建与应用,邀请报告,腾讯,2017-10-12,深圳,中国
#Enabling machines to understand human language, Invited Speech, The 1st International Conference of Smart World-2017 (ICSW-2017), 2017-09-25, Xi'an, China
#知识图谱研究的回归与展望,邀请报告,上海财经大学,2017-09-23,上海,中国
#Understanding Users with Knowledge Graphs [PPT|Yanghuaxiao/肖老师Understanding+Users+with+Knowledge--Sumsung+Graphs.pdf], 邀请报告,三星用户画像与推荐系统研讨会,2017-09-19,北京,中国
#Enabling machines to understand human language by knowledge graphs, Keynote speech,International Conference on Artificial Intelligence and Computer Engineering (AICE2017) 2017-07-23, Xiamen, China
#知识图谱研究挑战与机遇,复旦大学,2017-7-13,上海,中国
#Data-driven Approaches for Large-scale Knowledge Graph Construction,邀请报告,苏州大学,2017-6-24,苏州,江苏
#Enabling machines to understand human language by knowledge graphs, Invited speech,阿里巴巴, 2017-05-15, 杭州, China
#未来人机区分-基于语言认知的智能验证码,邀请报告,陆家嘴智谷青年科学家峰会,2017-4-20,上海,中国
#未来人机区分-基于语言认知的智能验证码,邀请报告,2017人工智能:技术、伦理与法律研讨会,2017-4-13,北京,中国
#基于知识图谱的机器语言认知关键技术, 邀请报告,郑州大学, 2017-4-12, 郑州, 中国
#人工智能进展及应用,特邀报告,焦作,河南省青年软件创新创业大赛创新创业大讲堂活动,2017-4-11,焦作,中国
#Artificial Intelligence and Game, Invited Speech, 游族网络,2017-03-22,上海,中国
#Enabling machines to understand human language by knowledge graphs [pdf|Yanghuaxiao/Language Understanding.pdf], Invited Speech, Jan 7, 2017, School of Information Management, Wuhan University of Science and Technology, Wuhan, China
#Data Driven Approaches for Common Sense Understanding [pdf|Yanghuaxiao/Data Driven Approaches for Common Sense Understanding.pdf], Invited Speech, Jan 6, 2017, Seminar of Common Sense Knowledge Representation and Reasoning, Wuhan University of Science and Technology, Wuhan, China
#Enabling machines to understand human language by knowledge graphs, Invited Speech, Jan 6, 2017, School of Information Management, Wuhan University, Wuhan, China
#Enabling machines to understand human language by knowledge graphs, Invited Speech, Jan 5, 2017, School of Computer Science, Huazhong University of Science and Technology, Wuhan, China
#Data-driven Approaches for Large-scale Knowledge Graph Construction [pdf|Yanghuaxiao/Data Driven Approaches for Large Scale KG construction.pdf], Invited Speech, Jan 5, 2017, School of Computer Science, Wuhan University, Wuhan, China
#Data-driven Approaches for Large-scale Knowledge Graph Construction, Invited Speech, 2016 International Conference on Data Science during, December 18, 2016, Shanghai, China
#Enabling machines to understand human language by knowledge graphs, Invited Speech, 2016 International Conference on Data Science during, December 19, 2016, Shanghai, China
#Data-driven Approaches for Large-scale Knowledge Graph Construction, Invited Speech, 华东师范大学, December 6, 2016, Shanghai, China
#Enabling machines to understand human language by knowledge graphs, Invited speech,上海科技大学, Dec.5, 2016, Shanghai, China
#Enabling machines to understand human language by knowledge graphs, Keynote speech,2016 International Conference on Electrical Engineering and Intelligent Systems, Nov. 20-21, 2016, Nanjing, China
#Enabling machines to understand human language by knowledge graphs, Invited speech, BIT’s 5th Annual World Congress of Emerging InfoTech-2016, Nov. 10-12, 2016, Qingdao, China
#Enabling machines to understand human language by knowledge graphs, Invited speech, 17th International Conference on Web Information Systems Engineering (WISE2016), Nov 9, 2016, Shanghai, China
# 基于知识图谱的机器语言认知关键技术研究,邀请报告,浙江大学,杭州,2016-10-28
# 基于知识图谱的机器语言认知关键技术研究,邀请报告,中国人民大学,北京,2016-09-13
# How to manage billion-node graph, Keynote speech, 7th Annual International Conference on ICT: Big Data, Cloud and Security (ICT-BDCS 2016),August 22nd - 23rd, 2016, Singapore
# Enabling machines to understand human language by knowledge graphs, Keynote speech, Conference of Speech Communication and Signal Processing of the Acoustical Society of Korea (ASK), Incheon National University, 2016-08-11
# Enabling machines to understand human language by knowledge graphs, Invited speech, Korea University, 2016-08-10
# 企业大数据战略与应用落地,邀请报告,江西博微新技术有限公司,江西,南昌,2016-08-07.
# 企业大数据战略与应用落地,邀请报告,远东福斯特新能源有限公司, 江西,宜春,2016-08-08.
#基于知识图谱的机器语言认知关键技术研究,邀请报告,北京大学,北京,2016-07-25
#基于知识图谱的机器语言认知关键技术研究,邀请报告,上海市数据科学重点实验室第一届第三次学术委员会会议,上海,2016-07-02
#机器语言认知关键技术及应用,许昌学院,特邀报告,许昌学院图书馆报告厅,许昌,2016-6-21
#大数据时代的人工智能与智能医疗,2016年度中国心脏重症大会,大会报告,国家会议中心,北京,2016-6-18
#知识图谱与交通大数据,交通信息处理学术交流会,邀请报告,南通大学,南通,2016-3-23
#大规模知识图谱管理与应用探索,大数据环境下的知识图谱与语义计算研讨会,Invited Speech,上海,上海财经大学,2016-1-14
#Graph Symmetry and Social Network Anonymization,Invited speech, the 1st International Conference on Data Science: Foundation and Application, ICIAM (国际工业与应用数学大学) 2015, 2015-11-22,上海,华东师范大学[ppt|Yanghuaxiao/symmetry-idfa.pdf]
#基于知识图谱的用户画像关键技术,CCF YOCSEF “互联网+物流”高峰论坛,2015-11-21,上海[PPT|Yanghuaxiao/基于知识图谱的用户画像.pdf]
#基于知识图谱的机器语言认知, CCF YOCSEF “知识图谱机遇与挑战”, 2015-05-08,上海,华东理工大学[PPT|Yanghuaxiao/基于知识图谱的语言认知-Yocsef.pdf]
#大学的学术自由与社会责任--谈促进学术研究与应用实践相结合的点滴体会, CCF YOCSEF上海“青年精英工程师培养论坛”, 2014-10-30, 上海,  [ppt1|Yanghuaxiao/学术自由与社会责任.pdf]
#Managing and Mining Big Knowledge Graphs, 复旦FITS课程,2013.12.14 ~ 2013.12.15, [ppt1|Yanghuaxiao/manageKG-fits-1.pdf][ppt2|Yanghuaxiao/manageKG-fits-2.pdf]
#Managing and Mining Big Knowledge Graphs--Challenges and Opportunities, Chinese University of Hong Kong, Hong Kong, 2013-9-3.
#面向知识图谱的数据融合与管理,NSFC重点基金“网络数据融合理论与技术”研讨会,苏州,2013-8-14.
#如何管理Facebook规模的大图数据[ppt|Yanghuaxiao/sap_talk.pdf], 云海会云计算与大数据专题讲座第二期,上海,SAP研究院,2012-11-20.
#大图数据管理中关键算法[ppt|Yanghuaxiao/adl-talk.pdf], 中国计算机学会第33期学科前沿讲习班《图数据管理与挖掘》,北京,2012-11-16.
#ICDE 2012 conference review, The Second HotDb, Renmin University, Beijing, 2012-11-18
#中文知识图谱[ppt|Yanghuaxiao/ckg_italk.PDF], 上海,张江,ITalk沙龙,2012-10-31
#__Computation and analysis for large-scale social networks__ [ppt|Reading List/WebSocialNetwork.ppsx]. 
##IBM Research China Academic JAM 2009; 2009-09-09
##第五届上海工程师论坛计算机分论坛--“居民健康档案与Web数据价值分析"; 2011-10-12\\
#__Symmetry in complex networks__ [ppt|Yanghuaxiao/symmetry.pdf].\\ 
##''CCCN2008'', Beijing, China; 
## Institue of Computer Science, Chinese Academic of Science, Beijing, China;2008-10-10
## Shanghai Key Laboratory of Intelligent Information, Shanghai, China; 2008-11-08
## CCF YOCSEF "计算之美—数据" 论坛; 华东师范大学软件学院, 上海; 2012-8-21
#__Manging and mining large graphs__. \\
##''Peking University'', 
##''Beihang University'' 
##''IBM China Resarch lab'';
## Tutorial at the first ''HOTDB(2012)''; Tsinghua University, Beijing, China; 2012-02-25
## Tutorial at ''SIGMOD 2012''; Scottedale, USA; 2012-05-22.
#__Chanllenges and opportunities in next generation genome sequence processing__. \\This has ever been given as an invited talk at ''Database group at MSRA'' and ''System group at MSRA''.

!!Publications

#[Selected Publications|http://gdm.fudan.edu.cn/GDMWiki/Wiki.jsp?page=By%20year]\\
#[Complete Pulications and Google Scholar Citations|http://scholar.google.com/citations?user=odFW4FoAAAAJ&hl=en]\\
#[Microsoft Academic Publications|http://academic.research.microsoft.com/Author/3616691/yanghua-xiao?query=yanghua%20xiao]\\
#[Pulbications in Computer Science (DBLP)|http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/x/Xiao:Yanghua.html]

![Submission history|sub_histo]