2012年“二十一世纪的计算”学术研讨会

• Bio

  Dr. Hsiao-Wuen Hon is the Managing Director of Microsoft Research Asia, located in Beijing, China. Founded in 1998, Microsoft Research Asia has since become one of the best research centers in the world that MIT Technology Review called “the hottest computer science research lab in the world.” Dr. Hon oversees the lab’s research activities and collaborations with academia in Asia Pacific.

  An IEEE fellow and a Distinguished Scientist of Microsoft, Dr. Hon is an internationally recognized expert in speech technology. He serves on the editorial board of the international journal of the Communication of the ACM. Dr. Hon has published more than 100 technical papers in international journals and at conferences. He co-authored a book, Spoken Language Processing, which is a graduate-level textbook and reference book in the area of speech technology in many universities all over the world. Dr. Hon holds three dozens of patents in several technical areas.

  Dr. Hon has been with Microsoft since 1995. He joined Microsoft Research Asia in 2004 as a Deputy Managing Director, responsible for research in Internet search, speech & natural language, system, wireless and networking. In addition, he founded and managed search technology center (STC) from 2005 to 2007, the Microsoft internet search product (Bing) development unit in Asia Pacific.

  Prior to joining Microsoft Research Asia, Dr. Hon was the founding member and architect in Natural Interactive Services Division at Microsoft Corporation. Besides overseeing all architectural and technical aspects of the award winning Microsoft® Speech Server product (Frost & Sullivan’s 2005 Enterprise Infrastructure Product of the Year Award, Speech Technology Magazine’s 2004 Most Innovative Solutions Awards and VSLive! 2004 Editors’ Choice Award.), Natural User Interface Platform and Microsoft Assistance Platform, he is also responsible for managing and delivering statistical learning technologies and advanced search. Dr. Hon joined Microsoft Research as a senior researcher at 1995 and has been a key contributor to Microsoft’s SAPI and speech engine technologies. He previously worked at Apple Computer, where he led research and development for Apple’s Chinese Dictation Kit.

  Dr. Hon received his Ph.D. degree in Computer Science from Carnegie Mellon University and his B.S. degree in Electrical Engineering from National Taiwan University.

• Keynote Abstract

  Transforming the Impossible to the Natural

  Reading science fictions over the past one hundred years, one sees many seemingly impossible machines and services, which are now not only widely available, but have become accepted as natural. In this talk, Dr. Hsiao-Wuen Hon will share examples which show how technologies developed in research labs have impacted real life user experiences. For example, body gesture, speech, natural user intent understanding, and other new usage scenarios have all recently impacted how users utilize computing. Looking forward, Dr. Hsiao-Wuen Hon sees exciting opportunities for research to further extend what is considered natural when using computers. What’s natural in computing at the end of 21st century will be drastically different than what we find common today.

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• Bio

  As Chief Research Officer, Richard (Rick) F. Rashid oversees worldwide operations for Microsoft Research, an organization encompassing more than 850 researchers across eleven labs worldwide. Under Rashid’s leadership, Microsoft Research conducts both basic and applied research across disciplines that include algorithms and theory; human-computer interaction; machine learning; multimedia and graphics; search; security; social computing; and systems, architecture, mobility and networking. His team collaborates with the world’s foremost researchers in academia, industry and government on initiatives to expand the state of the art across the breadth of computing and to help ensure the future of Microsoft’s products.

  After joining Microsoft in September 1991, Rashid served as director and vice president of the Microsoft Research division and was promoted to his current role in 2000. In his earlier roles, Rashid led research efforts on operating systems, networking and multiprocessors, and authored patents in such areas as data compression, networking and operating systems. He managed projects that catalyzed the development of Microsoft’s interactive TV system and also directed Microsoft’s first e-commerce group. Rashid was the driving force behind the creation of the team that later developed into Microsoft’s Digital Media Division.

  Before joining Microsoft, Rashid was professor of computer science at Carnegie Mellon University (CMU). As a faculty member, he directed the design and implementation of several influential network operating systems and published extensively about computer vision, operating systems, network protocols and communications security. During his tenure, Rashid developed the Mach multiprocessor operating system, which has been influential in the design of modern operating systems and remains at the core of several commercial systems.

  Rashid’s research interests have focused on artificial intelligence, operating systems, networking and multiprocessors. He has participated in the design and implementation of the University of Rochester’s Rochester Intelligent Gateway operating system, the Rochester Virtual Terminal Management System, the CMU Distributed Sensor Network Testbed, and CMU’s SPICE distributed personal computing environment. He also co-developed of one of the earliest networked computer games, «Alto Trek,» during the mid-1970s.

  Rashid was presented with the Institute of Electrical and Electronics Engineers Emanuel R. Piore Award in 2008 and inducted into the National Academy of Engineering in 2003. He was also inducted into the American Academy of Arts & Sciences and received the SIGOPS Hall of Fame Award in 2008. In 2009, Rashid was given the Microsoft Technical Recognition Award for exceptional career achievements. In addition, Rashid is a member of the National Science Foundation Computer Directorate Advisory Committee and a past member of the Defense Advanced Research Projects Agency UNIX Steering Committee and the Computer Science Network Executive Committee. He is a Trustee for the Anita Borg Institute for Women and Technology, as well as a former chairman of the Association for Computing Machinery Software System Awards Committee.

  Rashid received master of science (1977) and doctoral (1980) degrees in computer science from the University of Rochester. He graduated with honors in mathematics and comparative literature from Stanford University in 1974.

• Keynote Abstract

  Microsoft Research and the Evolution of Computing

  Limits in computing power and our ability to interact with computers have also imposed limits on our understanding of the world around us. Increasingly, those limits are being removed, clearing the way for new advances in almost every kind of human endeavor. Rick Rashid, Microsoft chief research officer and head of Microsoft Research, will present his vision of the future of computing research in light of these breakthroughs and the opportunities that lie ahead.

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• Bio

  John Hopcroft is the IBM Professor of Engineering and Applied Mathematics at Cornell University. He started his career on the faculty at Princeton in 1964 and moved to Cornell in 1967. In 1987, he became the chair of the Department of Computer Science. In 1993, he became Associate Dean for College Affairs, and in 1994 he became Dean of the College of Engineering, in which job he served until 2001 when he returned to the Department of Computer Science.

  Hopcroft earned his B.S. degree in electrical engineering from Seattle University in 1961 and his Ph.D. degree in electrical engineering from Stanford University in 1964. He has honorary degrees from Seattle University, the National College of Ireland, the University of Sydney, and St. Petersburg State University. He is an honorary professor of the Beijing Institute of Technology, Yunnan University, and an Einstein Professor of the Chinese Academy of Sciences. His current research interests are in the area of information capture and access.

  Hopcroft has served on numerous advisory boards, including the Air Force Science Advisory Board, the NASA Space Sciences Board, and the National Research Council’s Board on Computer Science and Telecommunications. In 1986 he was awarded the Turing Award by the Association for Computing Machinery, and in 1992, President H. W. Bush appointed him to the National Science Board, which oversees the National Science Foundation. He is a member of the National Academy of Engineering, the National Academy of Science, and the American Academy of Arts and Sciences. He is a Fellow of the Association for Computing Machinery, the Institute of Electrical and Electronics Engineering, and the American Association for the Advancement of Science. Hopcroft serves on the Packard Foundation’s Science Advisory Board, the Microsoft Technical Advisory Board for Research Asia, and the advisory boards of IIIT Delhi and the College of Engineering at Seattle University. He has received numerous awards: the IEEE Harry Goode Memorial Award in 2005, the CRA Distinguished Service Award in 2007, the ACM Karl V. Karlstrom Outstanding Educator Award in 2009, and the IEEE von Neumann Medal in 2010.

• Keynote Abstract

  New Directions in Computer Science

  Computer science is undergoing a fundamental change. Over the last 40 years the field was concerned with making computers useful. Focus was on programming languages, compilers, operating systems, data structures and algorithms. These are still important topics but with the merging of computing and communication, the emergence of social networks, and the large amount of information in digital form, focus is shifting to applications such as the structure of networks and extracting information from large data sets. This talk will give a brief vision of the future and then an introduction to the science base that is forming to support these new directions in computer science.

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• Bio

  Daniela Rus is a Professor of Electrical Engineering and Computer Science and Director of the Computer Science and Artificial Intelligence Laboratory at MIT. Her research interests include distributed robotics and mobile computing and her application focus includes transportation, security, environmental modeling and monitoring, underwater exploration, and agriculture.

  Rus is the recipient of the NSF Career Award and an Alfred P. Sloan Foundation Fellow. She is a Class of 2002 MacArthur Fellow and a fellow of AAAI and IEEE. Before receiving her appointment at MIT, Rus was a professor in the Computer Science Department at Dartmouth, where she founded and directed two laboratories in robotics and mobile computing. Rus earned her PhD in Computer Science from Cornell University.

• Keynote Abstract

  Computation Challenges for Creating Autonomous Systems

  The current computing challenges for creating mobile autonomous systems that can interact in new ways with the physical world, on the ground, in water, and in the air. Recent progresses in Autonomous Mobile Networks are distributed ad-hoc networks of robots that can sense, actuate, compute and communicate with each other using point-to-point multi-hop communication. The nodes in such networks include static sensors, mobile sensors, robots, animals, and humans. Such systems combine the most advanced concepts in perception, communication and control to create computational systems capable of large-scale interaction with the environment, extending the individual capabilities of each network component to encompass a much wider area, range of data, and control capabilities.

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• Bio

  Michael I. Jordan is the Pehong Chen Distinguished Professor in the Department of Electrical Engineering and Computer Science and the Department of Statistics at the University of California, Berkeley. He received his Masters in Mathematics from Arizona State University, and earned his PhD in Cognitive Science in 1985 from the University of California, San Diego. He was a professor at MIT from 1988 to 1998. His research in recent years has focused on Bayesian nonparametric analysis, probabilistic graphical models, spectral methods, variational methods, kernel machines and applications to problems in statistical genetics, signal processing, computational biology, information retrieval and natural language processing. Prof. Jordan is a member of the National Academy of Sciences, a member of the National Academy of Engineering and a member of the American Academy of Arts and Sciences. He is a Fellow of the American Association for the Advancement of Science. He has been named a Neyman Lecturer and a Medallion Lecturer by the Institute of Mathematical Statistics. He is an Elected Member of the International Institute of Statistics. He is a Fellow of the AAAI, ACM, ASA, CSS, IMS, IEEE and SIAM.

• Keynote Abstract

  Divide-and-Conquer and Statistical Inference for Big Data

  Divide-and-conquer is a natural computational paradigm for approaching Big Data problems, particularly given recent developments in distributed and parallel computing, but some interesting challenges arise when applying divide-and-conquer algorithms to statistical inference problems. One interesting issue is that of obtaining confidence intervals in massive datasets. The bootstrap principle suggests resampling data to obtain fluctuations in the values of estimators, and thereby confidence intervals, but this is infeasible with massive data. Subsampling the data yields fluctuations on the wrong scale, which have to be corrected to provide calibrated statistical inferences. The new procedure, the “bag of little bootstraps,” circumvents this problem, inheriting the favorable theoretical properties of the bootstrap but also having a much more favorable computational profile. Another issue is the problem of large-scale matrix completion. Here divide-and-conquer is a natural heuristic that works well in practice, but new theoretical problems arise when attempting to characterize the statistical performance of divide-and-conquer algorithms. Here the theoretical support is provided by concentration theorems for random matrices, and a new approach to this problem bases on Stein’s method.

  [Joint work with Ariel Kleiner, Lester Mackey, Purna Sarkar, Ameet Talwalkar, Richard Chen, Brendan Farrell and Joel Tropp]

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• Bio

  Dr. Jeannette M. Wing is the President’s Professor of Computer Science in the Computer Science Department at Carnegie Mellon University. She received her S.B. and S.M. degrees in Electrical Engineering and Computer Science in 1979 and her Ph.D. degree in Computer Science in 1983, all from the Massachusetts Institute of Technology. From 2004-2007, she
  was Head of the Computer Science Department at Carnegie Mellon. Currently on leave from CMU, she is the Assistant Director of the Computer and Information Science and Engineering Directorate at the National Science Foundation. Professor Wing’s general research interests are in the areas of specification and verification, concurrent and distributed systems, and programming languages. Her current focus is on the foundations of trustworthy computing. Professor Wing was or is on the editorial board of eleven journals. She has been a member of many advisory boards, including: the Networking and Information Technology (NITRD) Technical Advisory Group to the President’s Council of Advisors on Science and Technology(PCAST), the National Academies of Sciences’ Computer Science and Telecommunications Board, ACM Council, the DARPA Information Science and Technology (ISAT) Board, NSF’s CISE Advisory Committee, Microsoft’s Trustworthy Computing Academic Advisory Board, and the Intel Research Pittsburgh’s Advisory Board. She is a member of the Sloan Research Fellowships Program Committee. She is a member of AAAS, ACM, IEEE, Sigma Xi, Phi Beta Kappa, Tau Beta Pi, and Eta Kappa Nu. Professor Wing is an AAAS Fellow, ACM Fellow, and IEEE Fellow.

• Keynote Abstract

  Towards a Theory of Trust in Networks of Humans and Computers

  How can I trust the information I read over the Internet? We argue that a general theory of trust in networks of humans and computers must be built on both a theory of behavioral trust and a theory of computational trust. This argument is motivated by increased participation of people in social networking, crowdsourcing, human computation, and socio-economic protocols, e.g., protocols modeled by trust and gift-exchange games, norms-establishing contracts, and scams. User participation in these protocols relies primarily on trust: trust in both the computational elements in the network and the human element. Thus, towards a general theory of trust, to computational trust, we add behavioral trust, a notion from the social and economic sciences. Behavioral trust captures participant preferences (i.e., risk and betrayal aversion) and beliefs in the trustworthiness of other protocol participants. We argue that a general theory of trust should focus on the establishment of new trust relations where none were possible before. This focus would help create new economic opportunities by increasing the pool of usable services, removing cooperation barriers among users, and at the very least, taking advantage of network effects. Hence a new theory of trust would also help focus security research in areas that promote trust-enhancement infrastructures in human and computer networks.

  [Joint work with Virgil Gligor]

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• Bio

  Dr. Peter Lee holds the title of Corporate Vice President, Microsoft Research. In this position he is responsible for managing Microsoft Research Redmond, a laboratory of over 300 researchers, engineers, and support personnel dedicated to advancing the state of the art in computing and creating new technologies for Microsoft’s products and services. Prior to joining Microsoft, Dr. Lee was a professor at Carnegie Mellon University. A devoted teacher and a researcher with over 100 research publications, distinguished lectures, and keynote addresses, he served as the Head of CMU’s Computer Science Department and before that had a brief stint as the university’s Vice Provost for Research. Peter Lee also served in the Department of Defense at DARPA, the Defense Advanced Research Projects Agency. There, he founded and directed a major technology office that supported research in computing and related areas in the social and physical sciences.

  Peter Lee has shown executive-level leadership in world-class research organizations spanning academia, government, and industry. He is a Fellow of the Association for Computing Machinery and serves the research community at the national level, including policy contributions to the President’s Council of Advisors on Science and Technology and membership on both the National Research Council’s Computer Science and Telecommunications Board and the Advisory Council of the Computer and Information Science and Engineering Directorate of the National Science Foundation. He was the former chair of the Computing Research Association and has testified before both the US House Science and Technology Committee and the US Senate Commerce Committee.

• Keynote Abstract

  The Pipeline from Computing Research to Surprising Inventions

  One of the most exciting aspects of computer science is that the results of basic research so often end up being applied in completely unexpected ways. At Microsoft Research, we actively seek out these surprising outcomes, by building a pipeline that connects long-term, blue-sky research to technological innovations. This talk will delve into the details of three examples, one each in the areas of entertainment, cloud computing, and personal productivity.

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论坛嘉宾

• Bio

  Henrique (Rico) Malvar is a Microsoft Distinguished Engineer and the Chief Scientist for Microsoft Research. He was born and raised in Brazil. Before moving to industry in 1994, he was a professor of electrical engineering at University of Brasília, Brazil. When he joined Microsoft in 1997, Rico started a signal processing group, which developed new technologies such as new media compression formats used in Windows, Xbox, and Office, microphone array processing technologies used in Windows, Tablet PCs, and Xbox Kinect, as well as machine learning technologies for music identification in Windows Media, junk mail filtering in Exchange, and others. The group also developed the first prototype of the RoundTable videoconferencing device.

  Rico was a key architect for the several media compression formats, such as WMA and HD Photo/JPEG XR, and made key contributions to the popular video format H.264, used in YouTube, Adobe Flash, digital TV, and many other applications. Rico has a Ph.D. in electrical engineering and computer science from the Massachusetts Institute of Technology in 1986. His technical interests include multimedia signal compression and enhancement, fast algorithms, multi-rate filter banks, and multi-resolution and wavelet transforms. He has over 150 publications and over 110 issued patents in those areas. He received the Young Scientist Award from the Marconi International Fellowship in 1981, was elected to Fellow of the IEEE in 1997, received the Technical Achievement Award from the IEEE Signal Processing Society in 2002, and was elected a Member of the U.S. National Academy of Engineering (NAE) in 2012.

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• Bio

  Professor Chi is former Executive Vice President of Beijing University. He is now Vice Director of University Affairs and Director of Speech and Hearing Information Processing Laboratory. He graduated from Beijing University in 1964. His research area includes Machine Perception, Hearing Mechanism and Modelling, Signal and Information Processing, Speech Signal Processing, etc.

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• Bio

  Dr. Gupta was corporate vice president (CVP) of Technology Policy and Strategy at Microsoft from 2007 to 2009. During this period, Gupta also served as CVP of the Unlimited Potential Group and Education Products Group. From 2003 to 2007, he was CVP of Microsoft’s Unified Communications Group, leading the company’s efforts in business communications solutions (email, IM, VoIP, and conferencing). From 2001 to 2003, Gupta was technology assistant to Bill Gates. From 1997 to 2003, he led the Collaboration and Multimedia Group at Microsoft Research.

  Before joining Microsoft in 1997, Dr. Gupta was professor of Computer Science at Stanford University for 11 years. In 1995, Gupta co-founded VXtreme Inc., which Microsoft acquired in 1997. Gupta has a B.Tech. from IIT Delhi in 1980 receiving President’s Gold Medal, and a Ph.D. in Computer Science from Carnegie Mellon University.

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• Bio

  Prof. Li received his B.S. degree from USTC in 1982 and his M.S. and Ph.D. degrees from Stanford University in 1983 and 1988 respectively—both in electrical engineering. In 1987, he joined the faculty of Lehigh University as an assistant professor in the Department of Electrical Engineering and Computer Science. In 1993, he was promoted to associate professor with tenure. In 1998, he was promoted to full professor. From 1998 to 2010, he worked in several high-tech companies in the Silicon Valley with technical and management responsibilities. In March of 2010, he was appointed his current position at USTC.

  Prof. Li has been elected to Fellow of IEEE for contributions to image and video coding algorithms, standards, and implementations. He served as the editor-in-chief of IEEE Transactions on Circuits and Systems for Video Technology. He served as a guest editor for a special issue of IEEE Proceedings. He served as the chair of several Technical Committees in IEEE Circuits and Systems Society and IEEE International Conferences. He served as the chair of Best Student Paper Award Committee for SPIE Visual Communications and Image Processing Conference.

  Prof. Li has made many contributions to International Standards. His inventions on Fine Granularity Scalable Video Coding and Shape Adaptive Wavelet Coding have been included into the MPEG-4 International Standard. He served as a member of MPEG (Moving Picture Experts Group) of ISO (International Standard Organization) and an editor of MPEG-4 International Standard. He served as a founding member of the Board of Directors of MPEG-4 Industry Forum. As a technical advisor, he also made contributions to the Chinese Audio Video coding Standard and its applications.

  Prof. Li received a Certificate of Appreciation from ISO/IEC as a project editor in development of International Standard in 2004, the Spira Award for Excellence in Teaching in 1992 at Lehigh University, and the first Guo Mo-Ruo Prize for Outstanding Student in 1980 at USTC.

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• Bio

  Dr. Tan was previously a professor of Electrical and Computer Engineering with courtesy appointments in Mechanical Engineering and Psychological Sciences at Purdue University. Her research focuses on haptic human-machine interfaces and haptic perception. She has published more than 100 peer-reviewed journal and conference articles in haptics research. She is known internationally as a leading expert on haptics psychophysics, taking a perception-based approach to solving engineering problems. She is frequently invited to give keynote speeches at international conferences and research institutions, educating a broad audience on haptics and its emerging applications in human computer interaction, robotics, medicine and education.

  Dr. Tan received her bachelor’s degree in Biomedical Engineering from Shanghai Jiao Tong University, P.R. China. She earned her master’s and doctorate degrees, both in Electrical Engineering and Computer Science, from Massachusetts Institute of Technology (MIT). She was a Research Scientist at the MIT Media Lab before joining the faculty at Purdue’s School of Electrical and Computer Engineering in 1998. She has held a McDonnell Visiting Fellowship at Oxford University, a visiting associate professorship in the Department of Computer Science at Stanford University, a guest researcher position in the Institute of Life Science and Technology at Shanghai Jiao Tong University, and a visiting researcher position at Microsoft Research Asia.