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特邀报告: Digital Vellum



Vinton Cerf
谷歌公司

个人简介:文顿·瑟夫(Vinton G. Cerf),2004年ACM图灵奖得主,谷歌公司副总裁兼首席互联网专家。Cerf博士是ACM/IEEE Fellow、美国国家工程学院院士、美国科学促进协会院士、美国艺术和科学院院士、国际工程学联盟院士、计算机历史博物馆馆员、南加州大学Annenberg传播中心学者。他是TCP/IP协议和互联网架构的联合设计者之一,被称作“互联网之父”之一。1982年至1986年间担任MCI数字信息服务副总裁期,领导开发了世界上第一种连接到互联网的商用电子邮件服务-MCI邮件。曾担任互联网名称与数字地址分配机构(ICANN)的理事长。1992年至1995年,Cerf博士担任互联网协会创会主席,并于1999年担任理事长。他还是IPv6论坛名誉主席,为唤起公众注意和加速新互联网协议引进做出了卓越贡献。1994年12月,《人物》杂志将Cerf博士选为当年“25个最令人着迷的人”之一。1997年12月,克林顿总统向Cerf博士颁发美国国家技术奖章,以表彰其对互联网的创立和发展所做出的巨大贡献。2004年,因其在互联网协议方面所取得的杰出成就而荣膺ACM图灵奖。2005年11月,乔治•布什总统向Kahn和Cerf博士颁发了总统自由勋章,这是美国政府授予公民的最高民事荣誉。2006年5月,他入选美国国家发明家名人堂。

摘要:We create increasing amounts of digital content on a daily basis and store it in a variety of ways: on public cloud systems, on local media (hard drives, CD-ROMs, DVDs, Memory Sticks), on corporate infrastructure. We often think of "bits" as having immortal longevity. After all, "bits" are somehow not material. But, of course, they are represented by magnetic or electrical charges and the media or the readers of the media may not survive over hundreds of years. We have other media such as stone tablets that have lifetimes measured in thousands of years, but not so our digital media. Moreover, the bits we store away, even if we can read them, may lose their meaning if we can't run the sofrtware that produced the bits or knows how to interpret them. If the bits are stored but the meta-data needed to interpret them is lost, the bits may lose their meaning. Are we headed for a Digital Dark Age? That's the question this talk will explore.

 

特邀报告: Exciting Ideas in Computer Science



John Hopcroft
康奈尔大学

个人简介:John Hopcroft,1986年ACM图灵奖得主,康奈尔大学计算机科学系工程与应用数学IBM教授。分别于1962和1964年从斯坦福大学获得电子工程硕士和博士学位,在普林斯顿大学任教三年后加入康奈尔学院,1972年被评为教授,1985年起任Joseph C. Ford计算机科学教授。国际计算机学会(ACM)于1986年向其颁发ACM图灵奖,以表彰他在算法和数据结构方面的基础性研究。Hopcroft教授是美国科学院、美国工程院和美国艺术与科学院院士,美国科学促进会AAAS、IEEE和ACM Fellow。1992年,乔治•布什总统任命John Hopcroft教授为监督美国科学基金会的美国科学委员会委员,直至1998年5月卸任。Hopcroft教授还是戴维和露西帕卡德奖学金在科学与工程领域的科学顾问委员会委员,工业与应用数学会金融管理委员会,新德里咨询委员会,微软亚洲研究技术顾问委员会、工程咨询委员会、西雅图大学、智利千年科学计划项目委员会的委员。

 

特邀报告: 经济与金融科技中的博弈论


姚期智
清华大学

个人简介:姚期智(Andrew Chi-Chih Yao),2000年ACM图灵奖得主,美国科学院院士,美国科学与艺术学院院士,中国科学院外籍院士,ACM/IACR Fellow,世界著名计算机学家。他于1967年获台湾大学物理学士学位,1972年获美国哈佛大学物理博士学位,1975年获美国伊利诺依大学计算机科学博士学位。1975年至1986年间,先后在美国麻省理工学院数学系、斯坦福大学计算机系、加利福尼亚大学伯克利分校计算机系任助理教授和教授。从1986年至2004年,在普林斯顿大学计算机科学系任William/Edna Macaleer工程与应用科学教授。2004年起在清华大学任全职教授,现为清华大学交叉科学研究院院长。因其对计算理论包括伪随机数生成、密码学与通信复杂度的突出贡献,荣获2000年度ACM图灵奖。此外,他还获得1987年波里亚奖(George Polya Prize)、1996年高德纳奖(Donald E. Knuth Prize)及2003年潘文渊研究奖(Pan Wen-Yuan Foundation Research Award)等诸多荣誉和奖项。

 

特邀报告: Evolution of the Artificial Visual System


高文
北京大学

个人简介:高文,北京大学教授、博导,国家自然科学基金委员会副主任,中国计算机学会理事长,第十届、十一届、十二届全国政协委员。1988年获哈尔滨工业大学计算机应用博士学位,1991年获日本东京大学电子学博士学位。他1992年入选进入国家863智能计算机主题专家组,担任智能计算机接口领域的责任专家,1996年至2000年任专家组组长。他1998年至1999年曾担任中科院计算所所长,2000年至2004年担任中科院研究生院常务副院长,其间2000年至2003年兼任中国科技大学副校长。高文教授是IEEE视频信号处理和通信技术委员会(VSPC)委员、国家信标委多媒体分委员会主任委员、数字音视频编解码技术标准(AVS)工作组组长。高教授的研究领域为人工智能、模式识别与多媒体计算。近几年主要研究兴趣集中在视频编码与分析、计算机视觉等。为第一完成人,他在视频编码与系统,以及人脸与手语识别等方面的研究成果曾五次获得国家科技进步二等奖,一次获国家技术发明二等奖。2008年底他因在视频编码方面的技术贡献,被评为IEEE Fellow;2010年因“音视频编解码理论、标准及应用的突出成就”被授予中国计算机学会王选奖;2013年底因“对视频技术的贡献,及对计算在中国发展的领导力”而当选为ACM Fellow。

特邀报告: In "What" We Trust?


倪明选
澳门大学

个人简介:倪明选教授从2015年1月起出任澳门大学学术副校长。倪教授是世界知名的计算机科学家并担任计算机及信息科学系讲座教授。在加入澳门大学之前,倪教授是香港科技大学计算机科学与工程系讲座教授,他在香港科大担任过计算机科学与工程系系主任(2002-2008)、校长特别助理(2010-2014)、香港科大霍英东研究院院长(2011-2014)、中国教育部/微软亚洲研究院信息科技重点实验室主任(2004-2014)。倪教授于1981加入密歇根州立大学计算机科学与工程系教授担任助理教授,于1988年升任正教授直到2002年回到香港。从1995至1996年他担任美国自然科学基金委员会微电子系统结构方向的主任。从1998至2001年,他在美国创立了CC&T技术公司并担任执行长,他领导的团队设计了一系列网络电话有关的产品。倪教授在1994年由于在并行和分布式系统领域的贡献被评选为IEEE Fellow,在2008年被评选为香港工程科学院院士。他在1994年还获得密歇根州立大学杰出教师奖。为表彰其在计算机领域的学术成就和为中国的计算机事业所作出的杰出贡献,中国计算机学会授予倪教授2009年海外杰出贡献奖。倪教授及其领导的团队荣获2010年教育部颁发自然科学一等奖与2011年国务院颁发国家自然科学二等奖。

特邀报告: 人工智能时代的科学家创业



李开复
创新工场

个人简介:李开复博士于2009年创立创新工场,担任首席执行官,并开启专注于早期阶段的“投资加孵化”模式的创新型投资公司,旨在帮助中国青年成功创业。目前创新工场已经投资300个项目,管理总额80亿人民币的双币基金。2016年创办人工智能工程院,旨在孵化和投资人工智能产业服务。 在此之前,李开复博士曾是谷歌中国全球副总裁兼大中华区总裁。同时,也曾担任微软全球副总裁并且开创了微软亚洲研究院。在全球有影响力的苹果公司,SGI 公司都曾效力。 李开复在美国哥伦比亚大学取得学士学位,以最高荣誉毕业于卡耐基梅隆大学获得博士学位。同时,李开复获得香港城市大学荣誉博士学位。李开复获选为美国电机电子工程师学会(IEEE)的会士,并被《时代》杂志评选为影响全球100位年度人物之一。

 

特邀报告: 互联网与人工智能



王海峰
百度公司

个人简介:王海峰,博士,百度副总裁,现为百度AI技术平台体系总负责人,管理包括百度研究院(深度学习实验室、大数据实验室、硅谷AI实验室和增强现实实验室)以及语音、自然语言处理、知识图谱、AI平台等技术部门。王海峰博士2010年加入百度。2010年到2013年间,他先后为百度创建了自然语言处理部、互联网数据研发部(包括知识图谱和互联网数据挖掘)、推荐与个性化部、多媒体部(包括语音和图像技术)、图片搜索部、语音技术部等;2013年上半年作为执行负责人,协助创建了百度深度学习研究院(IDL);2014年,他转岗至搜索业务群组任副总经理,先后负责百度搜索、手机百度、信息流、百度翻译、度秘、小度机器人、百度新闻等重要产品。王海峰博士是全球自然语言处理领域最具影响力的国际学术组织ACL(Association for Computational Linguistics)50多年历史上唯一出任过主席的华人,是唯一来自中国大陆的ACL会士(Fellow)。他兼任中国电子学会副理事长、中国网络空间安全协会副理事长、中国中文信息学会副理事长等,曾获2015年国家科技进步奖二等奖(第一获奖人)。

 

 

特邀报告: 大数据与精准医学


陈润生
中国科学院

个人简介:陈润生,男,中国科学院院士,佛山科技学院双聘院士,1941年6月生于天津市,籍贯天津,1964年,毕业于中国科学技术大学生物物理系,现任中国科学院生物物理研究所非编码核酸重点实验室研究员,博士生导师,国际人类基因组组织(HUGO)会员,国际数据库组织(CODATA)生物大分子专业组委员,国际纯粹及应用物理学会(IUPAP)生物信息学专业委员会委员。陈润生是中国最早从事理论生物学和生物信息学研究的科研人员之一。在生物信息学领域进行了系统的研究,曾参加中国第一个完整基因组泉生热袍菌B4基因组序列的组装和基因标识,曾参加人类基因组1%和水稻基因组工作草图的研究。共发表SCI收录学术论文120余篇,并多次在国际学术会议上应邀做报告。

 

特邀报告: Big Data Analysis and Mining in Microbiome


Xiaohua Tony Hu
德雷塞尔大学

个人简介:Xiaohua Tony Hu (Ph.D, 1995) is a full professor and the founding director of the data mining and bioinformatics lab at the College of Computing and Informatics (the former College of Information Science and Technology, one of the best information science schools in USA, ranked as #1 in 1999 and #6 in 2010 in information systems by U.S. News & World Report).  He is also serving as the founding Co-Director of the NSF Center (I/U CRC) on Visual and Decision Informatics (NSF CVDI), IEEE Computer Society Bioinformatics and Biomedicine Steering Committee Chair, and IEEE Computer Society Big Data Steering Committee Chair.  Tony is a scientist, teacher and entrepreneur. He joined Drexel University in 2002. He founded the International Journal of Data Mining and Bioinformatics (SCI indexed) in 2006, International Journal of Granular Computing, Rough Sets and Intelligent Systems in 2008. Earlier, he worked as a research scientist in the world-leading R&D centers such as Nortel Research Center, and Verizon Lab (the former GTE labs). In 2001, he founded the DMW Software in Silicon Valley, California. He has a lot of experience and expertise to convert original ideas into research prototypes, and eventually into commercial products, many of his research ideas have been integrated into commercial products and applications in data mining fraud detection, database marketing. Tony’s current research interests are in data/text/web mining, big data, bioinformatics, information retrieval and information extraction, social network analysis, healthcare informatics, rough set theory and application. He has published more than 270 peer-reviewed research papers in various journals, conferences and books such as various IEEE/ACM Transactions (IEEE/ACM TCBB, IEEE TFS, IEEE TDKE, IEEE TITB, IEEE SMC, IEEE Computer, IEEE NanoBioScience, IEEE Intelligent Systems), JIS, KAIS, CI, DKE, IJBRA, SIG KDD, IEEE ICDM, IEEE ICDE, SIGIR, ACM CIKM, IEEE BIBE, IEEE CICBC etc, co-edited 20 books/proceedings.  He has received a few prestigious awards including the 2005 National Science Foundation (NSF) Career award, the best paper award at the 2007 International Conference on Artificial Intelligence, the best paper award at the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, the 2010 IEEE Granular Computing Outstanding Contribution Awards, the 2007 IEEE Bioinformatics and Bioengineering Outstanding Contribution Award, the 2006 IEEE Granular Computing Outstanding Service Award, and the 2001 IEEE Data Mining Outstanding Service Award.  He has also served as a program co-chair/conference co-chair of 14 international conferences/workshops and a program committee member in more than 80 international conferences in the above areas.  He is the founding editor-in-chief of the International Journal of Data Mining and Bioinformatics (SCI indexed), International Journal of Granular Computing, Rough Sets and Intelligent Systems, an associate editor/editorial board member of four international journals (KAIS, IJDWM, IJSOI and JCIB).

 

 

特邀报告: Paradoxes in Internet Architecture



Srinivasan Keshav
滑铁卢大学

个人简介:Professor S. Keshav received a B.Tech in Computer Science and Engineering from IIT Delhi in 1986 and a Ph.D. in Computer Science from the University of California, Berkeley in 1991. He was subsequently a researcher at AT&T Bell Laboratories and, from 1996 to 1999, an Associate Professor at Cornell University. In 1999 he left academia to co-found Ensim Corporation and GreenBorder Technologies Inc. He was an Associate Professor at the University of Waterloo from 2003 to 2008 and has been a Professor since, holding a Canada Research Chair (2004-14) and the Cisco Chair in Smart Grid (2012-17). An awardee of the Director's Gold Medal from IIT Delhi, the Sakrison Prize from UC Berkeley, two Test of Time awards from ACM SIGCOMM, and Best Paper awards at both ACM SIGCOMM and ACM MOBICOM, he is the co-director of the Information Systems and Science for Energy Laboratory, author of two graduate textbooks on computer networking, an Alfred P. Sloan Fellow, an ACM Fellow, and currently Chair of ACM SIGCOMM.

 

特邀报告: Continuous Spatial Awareness with Wireless Networks



Kyle Jamieson
普林斯顿大学

个人简介:Kyle Jamieson is an Assistant Professor in the Department of Computer Science at Princeton University and Honorary Reader at University College London. His research focuses on building mobile and wireless systems for sensing, localization, and communication that cut across the boundaries of digital communications and networking. He received the B.S., M.Eng., and Ph.D. (2008) degrees in Computer Science from the Massachusetts Institute of Technology. He then received a Starting Investigator fellowship from the European Research Council in 2011, Best Paper awards at USENIX 2013 and CoNEXT 2014, and a Google Faculty Research Award in 2015.

 

特邀报告: Cybernetics for Personal Health



Ramesh Jain
加州大学欧文分校

个人简介:Ramesh joined University of California, Irvine as the first Bren Professor in Bren School of Information and Computer Sciences in 2005. Ramesh has been an active researcher in experiential computing, multimedia information systems, machine vision, and intelligent systems. While professor of computer science and engineering at the University of Michigan, Ann Arbor and the University of California, San Diego, he founded and directed artificial intelligence and visual computing labs. He was also the founding Editor-in-Chief of IEEE MultiMedia magazine and Machine Vision and Applications journal and served on the editorial boards of several magazines and journals. He has co-authored more than 450 research papers in well-respected journals and conference proceedings. His co-authored and co-edited books include two text books: Machine Vision (published in 1995), and Multimedia Computing (published in 2014). Ramesh has been elected Fellow of ACM, IEEE, IAPR, AAAI, and SPIE. He is the recipient of several awards including the ACM SIGMM Technical Achievement Award 2010. Ramesh co-founded multiple companies (Imageware, Virage, Praja, Seraja, mChron, and Krumbs), managed them in initial stages, and then turned them over to professional management. Currently, he is working with Krumbs — a Visual Web company. He enjoys working with companies, is involved in research, and enjoys writing. His current research is in Social Life Networks, Objective Self, and Visual Web.

 

特邀报告: New Frontiers of Large Scale Multimedia Information Retrieval



Shih-Fu Chang
哥伦比亚大学

个人简介:Shih-Fu Chang is the Sr. Executive Vice Dean and the Richard Dicker Professor of The Fu Foundation School of Engineering and Applied Science at Columbia University. His research is focused on multimedia information retrieval, computer vision, machine learning, and signal processing. A primary goal of his work is to develop intelligent systems that can harness rich information from the vast amount of visual data such as those emerging on the Web, collected through pervasive sensing, or stored in gigantic archives. A consistent theme of his research is turning unstructured multimedia data into searchable information. His work on content-based visual search in the early 90's, VisualSEEk and VideoQ, set the foundation of this vibrant area. Over the years, he continued to create innovative techniques for image/video recognition, multimodal analysis, visual information ontology, image authentication, and compact hashing for large-scale image databases. He also applies the novel capabilities to multi-source news video search, mobile search, 3D object search, and brain machine interfaces. Impact of his work can be seen in more than 300 peer-reviewed publications, numerous paper awards, more than 30 issued patents, and technologies licensed to six companies. For his long-term pioneering contributions, he has been awarded the IEEE Signal Processing Society Technical Achievement Award, ACM Multimedia Special Interest Group Technical Achievement Award, Honorary Doctorate from the University of Amsterdam, the IEEE Kiyo Tomiyasu Award, and IBM Faculty Award. For his dedicated contributions to education, he received the Great Teacher Award from the Society of Columbia Graduates. He served as Chair of Columbia Electrical Engineering Department (2007-2010), the Editor-in-Chief of the IEEE Signal Processing Magazine (2006-8), and advisor for several international research institutions and companies. In his current capacity in Columbia Engineering, he plays a key role in the School's strategic planning, special research initiatives, international collaboration, and faculty development. He is a Fellow of the American Association for the Advancement of Science (AAAS) and IEEE.

 

特邀报告: Vulnerabilities and Privacy Leakage Detection for Android Systems


吕自成
香港中文大学

个人简介:John C.S. Lui is currently the Choh-Ming Li Chair Professor in the CSE Department at The Chinese University of Hong Kong (CUHK), and he is also the Associate Dean of Research at the Faculty of Engineering at CUHK. He received his Ph.D. in Computer Science from UCLA. His current research interests are in network sciences with large data implications, machine learning on large data analytics, network/system/mobile security, network economics, large scale distributed systems and performance evaluation theory. Currently, John is the senior editor in the IEEE/ACM Transactions on Networking, and has been serving in the editorial board of IEEE Transactions on Mobile Computing, ACM Transactions on Modeling and Performance Evaluation of Computing Systems, IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, Journal of Performance Evaluation, Journal of Network Science and International Journal of Network Security. He is a member of the review panel in the IEEE Koji Kobayashi Computers and Communications Award committee, and has served at the IEEE Fellow Review Committee. He received various departmental teaching awards and the CUHK Vice-Chancellor's Exemplary Teaching Award, as well as the CUHK Faculty of Engineering Research Excellence Award. He is an elected member of the IFIP WG 7.3, Fellow of ACM, Fellow of IEEE, Senior Research Fellow of the Croucher Foundation and was the past chair of the ACM SIGMETRICS (2011-2015). His personal interests include films and general reading.

 

特邀报告: Edge Computing in the Extreme and its Applications



Suman Banerjee
威斯康星大学麦迪逊分校

个人简介:Suman Banerjee is a Professor in Computer Sciences at UW-Madison where he is the founding director of the WiNGS laboratory which broadly focuses on research in wireless and mobile networking systems. He received his undergraduate degree from IIT Kanpur, and MS and PhD degrees from the University of Maryland. He is the inaugural recipient of the ACM SIGMOBILE Rockstar award and a recipient of the NSF Career Award. He is a recipient of multiple award papers at various conferences, such as ACM MobiCom, ACM CoNEXT, and IEEE Dyspan. He is currently serving as the chair of ACM SIGMOBILE.

 

特邀报告: Towards Centimeter-scale Human Activity Sensing with Wi-Fi Signals: Theory and Applications


张大庆
北京大学

个人简介:Daqing Zhang is a Chair Professor at the School of EECS, Peking University, China and Vice Director of CCF Pervasive Computing Technical Committee. His research interests include context-aware computing, mobile computing, big data analytics and pervasive elderly care. Dr. Zhang has published more than 200 technical papers in leading conferences and journals, where his work on context model is widely accepted by the pervasive computing, mobile computing and service-oriented computing communities. He served as the general or program chair for more than 10 international conferences, giving keynote talks at more than 17 international conferences. He is the associate editor for ACM Transactions on Intelligent Systems and Technology, IEEE Transactions on Big Data, IEEE Pervasive Computing, etc.. In recent years, he has been exploring new areas such as "Social and Community Intelligence (SCI)", "Mobile Crowd Sensing (MCS)" and "Contactless Sensing" which aim to push context-aware computing to new frontiers. Dr. Zhang is the winner of the Ten-years CoMoRea impact paper award at IEEE PerCom 2013, the Honorable Mention Award at ACM UbiComp 2016 and 2015, the Best Paper award at IEEE UIC 2015 and 2012, and the Best Paper Runner Up award at Mobiquitous 2011. Daqing Zhang obtained his Ph.D. from University of Rome “La Sapienza” in 1996.

 

特邀报告: Motion Tracking and Its Applications



Lili Qiu
德州大学奥斯汀分校

个人简介:Lili Qiu is a Professor at Computer Science Dept. in UT Austin. She got M.S. and PhD in Computer Science from Cornell University in 1999 and 2001, respectively. After graduation, she spent 2001-2004 as a researcher at System & Networking Group in Microsoft Research Redmond. She joined UT Austin in 2005, and has founded a vibrant research group working on Internet and wireless networks at UT. She has published 100+ papers and 22 issued patents. She is a recipient of NSF career award, Google Faculty Award, and ACM Distinguished Scientist. She currently serves as Vice Chair for ACM SIGMOBILE.

 

特邀报告: From NFV to NFC: The challenges to scale software network functions


谭焜
华为公司

个人简介:Dr. Kun TAN is Director and Chief Architect, Network Virtualization Lab, HUAWEI Technologies, Co. Ltd. Before joining HUAWEI, he was Senior Research Manager in Microsoft Research Asia, where he led the networking and wireless research. In past years, he has worked on many aspects on both wireless and computer networks. He has a long list of publications and also a regular reviewer on top international conferences such as ACM SIGCOMM, Mobicom, NSDI. He is an associate editor of IEEE Transaction on Mobile Computing.

 

特邀报告: Data-Intensive Routing in Spatial Networks



Christian S. Jensen
奥尔堡大学

个人简介:Christian S. Jensen is Obel Professor of Computer Science at Aalborg University, Denmark, and he was recently with Aarhus University for three years and spent a one-year sabbatical at Google Inc., Mountain View. His research concerns data management and data-intensive systems, and its focus is on temporal and spatio-temporal data management. Christian is an ACM and an IEEE Fellow, and he is a member of Academia Europaea, the Royal Danish Academy of Sciences and Letters, and the Danish Academy of Technical Sciences. He has received several national and international awards for his research. He is Editor-in-Chief of ACM Transactions on Database Systems.

 

特邀报告: Towards Processing of Big Graphs



林学民
新南威尔士大学

个人简介:Xuemin Lin is a UNSW Scientia Professor and the head of database group in the school of computer science and engineering at UNSW, Australia.  Xuemin's research interests lie in databases, algorithms, and complexities. Specifically, he is working in the area of scalable data processing covering graph data, spatial-temporal data, streaming data, uncertain data, text data, etc. Xuemin was an associate editor of ACM TODS (2008-2014), IEEE TKDE (Feb 2013- Jan 2015),  and an associate editor-in-Chief of IEEE TKDE (2015-2016). He is currently the Editor-in-Chief  of IEEE TKDE (2017 Jan – Now).  Xuemin has published over 130 papers in the top venues such as SIGMOD, SIGIR, SIGKDD, ACM MM, VLDB, PODS, ICDE, IJAIC, IEEE TKDE, VLDB J, and ACM TODS.  Xuemin co-authored 16 best papers in the international conferences, including the best paper award in ICDE2016 and best student paper award in ICDE2007. Xuemin Lin was selected as one of the National Thousand Distinguished Overseas Scholars in China in 2010. He is an IEEE Fellow.

 

特邀报告: Data Usability: An Aspect of Big Data Research


李建中
哈尔滨工业大学

个人简介:Jianzhong Li, Professor, PHD supervisor, the winner of Outstanding Young Investigator Award and “WangXuan Award”, CCF the highest achievement award, the chief scientist of National 973 Project. He is the executive director and fellow of CCF, the director of China Computer Federation Technical Committee on Internet of Things, the vice director of Chinese Association of Automation Technical Committee on Big Data, the Chairman of ACM SIGMOD China, the chief editor of Data Science and Engineering. He was the vice director of China Computer Federation Technical Committee on Big Data, the vice director of China Computer Federation Technical Committee on Database, and the vice chief editor of IEEE Transactions on Knowledge and Data Engineering, a top international journal. His research focuses on massive data computing and wireless sensor network. As a PI, he was supported by many national key projects. He solved many scientific and technical problems, and gained a series of achievement. He has published 4 monographs, 300 papers on refereed journals and conferences, among which more than 100 papers was published on top journals or conferences such as IEEE Trans and SIGMOD. His papers were cited by more than 15000 times by other researchers. Single paper was cited by more than 2000 times by other researchers. His multiple papers were awarded best papers by multiple important conferences such as VLDB. He is the first Chinese Mainland Researcher who has published papers on top database conferences such as VLDB and ICDE. His papers were listed in monographs and handbooks published in UK and USA, as well as graduated course in USA universities. He also developed the operation system for DJS-100 series computer, the first computer cluster system and the first database for computer cluster in China. These systems have been applied in many areas and achieve great economics and social benefits. He has gained national and provincial awards for more than 10 times. He was also serve as Program Committee Chair, General Chair and Program Committee member on major conferences such ICDE, CIKM for more than 30 times.

 

特邀报告: Supercloud: A Library Cloud for Exploiting Cloud Diversity


Robbert van Renesse
康奈尔大学

个人简介:Robbert van Renesse is a Research Professor of Computer Science at Cornell University. His research is on the practice and theory of scalable and fault tolerant distributed systems. He has published over 200 papers and patents on this topic, as well as a book. Van Renesse is elected Chair of the ACM Special Interest Group on Operating Systems, and Associate Editor of ACM Computing Surveys, the most cited journal in computer science. He has co-founded three companies transferring technology to industry. Van Renesse is an ACM Fellow.


特邀报告: 类脑计算机的理念与实践


黄铁军
北京大学

个人简介:北京大学信息科学技术学院教授,计算机科学技术系主任,国家杰出青年科学基金获得者,教育部“长江学 者”特聘教授。主要研究领域为视觉信息处理与类脑计算, 在图像视频背景建模与编码、前景目标检测与分析、视觉特 征表达与识别等方面取得了多项成果,作为主要贡献者完成 的视频编码国家标准 AVS 已经在广播电视领域得到大规模 应用,提出的基于背景建模的监控视频编码方法将压缩效率 提高一倍,领先于最新国际标准。近三年来积极推过我国类脑计算技术发展,在灵长类初级视觉解析仿真方面开展了系统工作。发表(含合 作发表)学术论文 200 余篇,专著 2 部,作为主要起草人制定 5 项国家标准、4 项 ISO/IEC 标准和 3 项 IEEE 标准,申请发明专利 80 多项(约一半已授权)。 中国电子学会理事(2006-),中国计算机学会杰出会员(2015-),曾两次荣获国家科 学技术进步二等奖,四次荣获省部级一等奖,中国科协求是杰出青年成果转化奖 (2014)和 IEEE 计算机学会 Computing Now 奖(2013)。


特邀报告: Technology-driven and Application-driven Architecture Innovation: Past, Present, and Future


谢源
加州大学圣塔芭芭拉分校

个人简介:Yuan Xie received the B.S. degree in electronic engineering from Tsinghua University, Beijing, and the M.S. and Ph.D. degrees in computer engineering from Princeton University. He is currently a Professor in the ECE department at the University of California at Santa Barbara. Before joining UCSB in Fall 2014, he was with Pennsylvania State University, with rich industry experience in both research lab (AMD) and product team (IBM Worldwide Design Center). Prof. Xie is a IEEE Fellow. He is also a recipient of the NSF CAREER award, SRC Inventor Recognition Award, IBM Faculty Award, and Best Paper Awards (HPCA15, ICCAD14, GLSVLSI14, ISVLSI12, ISLPED11) and Best Paper Award Nominations (MICRO13, ASPDAC09-10, DATE13, ICCAD06). He has published more than 200 research papers in prestigious IEEE/ACM journals and conferences, in the area of computer architecture, EDA, VLSI designs, and embedded systems. He is currently Editor-in-Chief for ACM Journal of Emerging Technologies in Computing Systems (JETC), Senior Associate Editor for ACM Transactions on Design Automation for Electronics Systems (TODAE), Associate Editor for IEEE Transactions on Computers (TC) and IEEE Embedded System Letter (ESL) and PC Chair of HPCA 2018. He is a member of both the ISCA Hall of Fame and the HPCA Hall of Fame, the two premier conferences in computer architecture, that recognize the top authors in those conferences.


特邀报告: Fixing Security Problems for and with Programmers



Trent Jaeger
宾夕法尼亚州立大学

个人简介:Trent Jaeger is a Professor in the Computer Science and Engineering Department at The Pennsylvania State University and the Co-Director of the Systems and Internet Infrastructure Security (SIIS) Lab. Trent's research interests include operating systems security and the application of programming language techniques to security. He has published over 100 refereed research papers and is the author of the book "Operating Systems Security," which examines the principles of designs for secure operating systems. He is currently the Chair of the ACM Special Interest Group on Security, Audit, and Control (SIGSAC) and Program Chair of ASIACCS 2014. Trent has a B.S. from the California State Polytechnic Univerity, Pomona in Chemical Engineering in 1985 and M.S. and Ph.D. degrees from the University of Michigan, Ann Arbor in Computer Science and Engineering in 1993 and 1997, respectively.

Trent previously worked at IBM Research Watson from 1996 to 2005, when he joined Penn State. While at IBM Research, Trent was active in the Linux community, particularly in contributing code and tools for the Linux Security Modules (LSM) framework (in Linux 2.6) and for integrating the SELinux/LSM with IPsec (called Labeled IPsec, available in Linux 2.6.18 and above). Trent also worked on virtual machine systems (Xen reference monitor sHype), trusted computing (Linux Integrity Measurement Architecture and variants), and microkernels (L4 and systems built on it).

 

特邀报告: Differential Privacy: Meaning and Caveats



李宁辉
普渡大学

个人简介:Ninghui Li is a Professor of Computer Science at Purdue University. His research interests are in security and privacy. Prof. Li is Vice Chair of ACM Special Interest Group on Security, Audit and Control (SIGSAC), (2013--present). He is on the editorial boards of IEEE Transactions on Dependable and Secure Computing (TDSC), Journal of Computer Security (JCS), and ACM Transactions on Internet Technology (TOIT); and was on the editorial board of the VLDB Journal from 2007 to 2013. Prof. Li has served on the Program Committees of over 100 international conferences and workshops in computer security, databases, and data mining. In 2014 and 2015, he has served as the Program Chair for ACM Conference on Computer and Communications Security (CCS), ACM's flagship conference in the field of security and privacy. Since joining Purdue, Prof. Li's research has been supported by United States National Science Foundation, Air Force Office of Scientific Research (AFOSR), Army Research Office (ARO), National Security Agency (NSA), Open Collaboration Research awards from IBM Research, Google Faculty Research awards, and a Samsung faculty research award.

 

特邀报告: Security and Privacy in the Internet of Things



Elisa Bertino
普渡大学

个人简介:Professor Elisa Bertino joined Purdue in January 2004 as professor in Computer Science and research director at CERIAS. Her research interests cover many areas in the fields of information security and database systems. Her research combines both theoretical and practical aspects, addressing applications on a number of domains, such as medicine and humanities. Current research includes: access control systems, secure publishing techniques and secure broadcast for XML data; advanced RBAC models and foundations of access control models; trust negotiation languages and privacy; data mining and security; multi-strategy filtering systems for Web pages and sites; security for grid computing systems; integration of virtual reality techniques and databases; and geographical information systems and spatial databases. Professor Bertino serves or has served on the editorial boards of several journals - many of which are related to security, such as the ACM Transactions on Information and System Security, the IEEE Security & Privacy Magazine, and IEEE Transactions on Dependable and Secure Computing. She is currently serving as program chair of the 36th International Conference on Very Large Data Bases (VLDB 2010). Professor Bertino is a Fellow of the Institute of Electrical and Electronics Engineers and a Fellow of ACM. She received the IEEE Computer Society Technical Achievement award in 2002 for outstanding contributions to database systems and database security and advanced data management systems, and received the 2005 Tsutomu Kanai Award by the IEEE Computer Society for pioneering and innovative research contributions to secure distributed systems. She is recently served in the IEEE Computer Society Board of Governors and as Chair of ACM SIGSAC.

 

特邀报告: Refocusing Academic Integrity to Enhance Learning



Amber Settle
德保罗大学

个人简介:Amber Settle is an Associate Professor in the School of Computing at DePaul University and has been on the fulltime faculty since 1996. She earned a B.S. in mathematics and a B.A. in German from the University of Arizona, and a M.S. and Ph.D. in computer science from the University of Chicago. Dr. Settle’s research interests include computer science and information technology education and theoretical computer science. Dr. Settle was named as a Vincent DePaul Professor in 2004. She has served on the Advisory Board for the ACM Special Interest Group for Computer Science Education (SIGCSE) since 2010 and is currently the Chair of SIGCSE. Dr. Settle has also served on the program and/or conference committees for RESPECT 2016, SIGITE/RIIT 2013, 2014, and 2015, and ITiCSE 2013. She has been a Senior Member of the ACM since 2011.

 

特邀报告: Improving Success in Computer Science Education Using Lessons from Learning Sciences



Mark Guzdial
佐治亚理工大学

个人简介:Mark Guzdial is a Professor in the School of Interactive Computing in the College of Computing at Georgia Institute of Technology. He studies how people come to understand computing and how to make that more effective. He leads the CSLearning4U project to create ebooks to help high school teachers learn CS. He is one of the leaders on the NSF alliance “Expanding Computing Education Pathways" which helps US states improve and broaden their computing education. He invented Media Computation which uses media as a context for learning computing. With his wife and colleague, Barbara Ericson, he received the 2010 ACM Karl V. Karlstrom Outstanding Educator award. He is an ACM Distinguished Educator and a Fellow of the ACM.

 

特邀报告: Bringing “Trustworthy Network Big Data” ideas to High School Students



Dan Garcia
加州大学伯克利分校

个人简介:He received dual B.S. degrees in Computer Science and Electrical Engineering from MIT, 1990; and an M.S. and Ph.D. in Computer Science from UC Berkeley in 1995 and 2000, respectively. He joined the CS faculty at UC Berkeley in the Fall of 2000, won the departmental Diane S. McEntyre Award for Excellence in Teaching in 2002, the departmental Information Technology Faculty Award for Excellence in Undergraduate Teaching in 2004 and was chosen as a UC Berkeley "Unsung Hero" in 2005. He has taught (or co-taught as a GSI, where he won both departmental and campus outstanding GSI awards) courses in teaching techniques, computer graphics, virtual reality, computer animation, self-paced programming as well as the lower-division introductory CS curriculum. He is active in SIGCSE, is a member of the ACM Education Board, and is the faculty co-advisor for BFOIT, a wonderful Berkeley outreach effort.

 

特邀报告: 智能机器人:问题与思考


徐扬生
香港中文大学(深圳)

个人简介:徐扬生教授,中国工程院院士。1982年及1984年分别获得浙江大学学士、硕士学位,1989年获得美国宾夕法尼亚大学博士学位。1989年至1997年在美国卡耐基梅隆大学任教,1997年起在香港中文大学任教,现为自动化与计算机辅助工程学讲座教授。同时他担任系主任(1997-2004),香港中文大学协理副校长(2008-2011)。现为香港中文大学(深圳)校长。 徐教授所研究的领域为空间机器人、机器人动力学与控制、智能系统、人机界面、及电动车辆。在卡内基梅隆大学,徐教授从1987 年开始,设计并开发了30多个机器人及智能系统,其中包括:空间站跨步式机器人、单轮式陀螺稳定机器人、分拆式月球机器人、及混合控制机器人等。近年来,他设计并正在研究开发应用于家庭服务的机器人、穿戴式人机界面、混合动力汽车。徐扬生教授主持了30 多个由政府和企业界资助的研究开发项目。在研究工作的基础上,徐教授发表了3部专著、1部编著、90多篇国际期刊论文、200多篇国际学术会议论文及文集论文。

 


特邀报告: Making Good Decision Quickly



Sven Koenig
南加州大学

个人简介:Sven Koenig is a professor in computer science at the University of Southern California. He received his Ph.D. degree in computer science from Carnegie Mellon University for his dissertation on "Goal-Directed Acting with Incomplete Information." He also holds M.S. degrees from the University of California at Berkeley and Carnegie Mellon University. He is a fellow of the Association for the Advancement of Artificial Intelligence (AAAI), a distinguished speaker of the Association for Computing Machinery (ACM), and the recipient of an ACM Recognition of Service Award, an NSF CAREER Award, an IBM Faculty Partnership Award, a Charles Lee Powell Foundation Award (which provided USC start-up funding), a Raytheon Faculty Fellowship Award, an IEEE Computer Science and Engineering Undergraduate Teaching Award, a Mellon Mentoring Award, an SAIC Student Advisement Award, the Dean's Award for Innovation in Teaching and Education, five AAAI and one WIC Certificates of Appreciation, a Fulbright Fellowship, and the Tong Leong Lim Pre-Doctoral Prize of the University of California at Berkeley. Sven was also a program director at the National Science Foundation (NSF) from 2010 to 2012, where he received the Director's Award for Collaborative Integration in both 2011 and 2012. Several of his students won awards as well (including best paper, best dissertation, best research assistant, and best teaching assistant awards) and took their first jobs in academia. In 2016, one of them (Prof. William Yeoh) was selected by IEEE Intelligent Systems as one of the "AI's 10 to Watch" 2015 ("10 young stars in the field of AI," chosen every two years from researchers around the world). Sven has edited several conference proceedings and published more than 200 papers in various areas of artificial intelligence and robotics, including more than 30 papers at AAAI and IJCAI (the two main artificial intelligence conferences), as well as papers in planning (ICAPS and its predecessors AIPS and ECP), agents (AAMAS and its predecessor Autonomous Agents), machine learning (ICML, COLT), numerical artificial intelligence and control (NIPS, UAI, AI, and Mathematics), knowledge representation and reasoning (KR), robotics (ICRA, IROS, RSS), games (AIIDE, FDG), and others. He was conference co-chair of the 2002 Symposium on Abstraction, Reformulation, and Approximation (SARA), the 2004 International Conference on Automated Planning and Scheduling (ICAPS), and the 2009 International Symposium on Combinatorial Search (SoCS). He was program co-chair of the 2005 International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), the 2007 and 2008 AAAI Nectar programs, the 2015 AAAI Conference, and the 2016 and 2017 Symposia on Educational Advances in AI (EAAI). He is chair of the ACM Special Interest Group on Artificial Intelligence (ACM SIGAI), an editor of AI Magazine (where he helped to start both the "Competition Report" and the "AI in Industry" tracks) and the Communications of the ACM (Research Highlights), and an associate editor of the Artificial Intelligence journal, the Journal of Autonomous Agents and Multi-Agent Systems, and the Journal on Advances in Complex Systems. He was a councilor of the Association for the Advancement of Artificial Intelligence, a member of the advisory board of the Journal of Artificial Intelligence Research (JAIR), an associate editor of Computational Intelligence and JAIR, and a member of the steering committees of ICAPS, SoCS, and SARA. He co-founded both Robotics: Science and Systems (RSS), a highly selective robotics conference, in 2005 and SoCS, the first regular meeting of the search community in artificial intelligence, in 2009.