2021 ACM Fellow is out! Tang Jie, Xie Tao, Li Feifei, Liu Tieyan and other 13 Chinese scientists were selected
author：Leifeng.com
2021 ACM Fellow is out! Tang Jie, Xie Tao, Li Feifei, Liu Tieyan and other 13 Chinese scientists were selected
Author | AI Technology Review
AI Technology Review News, the American Computer Society (ACM) just announced the list of newly elected ACM Fellows in 2021 today, with a total of 71 scientists elected, including 13 Chinese scholars such as Tang Jie, Xie Tao, Li Feifei, Liu Tieyan, Li Hai, and Zhong Lin!
It is worth noting that Zhong Lin (Yale University), Liu Tieyan (MSRA) and Li Hai (Duke University) are all students of Tsinghua University's class of 1994 (the legendary "four-character class"), and they are all selected by the "4+2" (five-year undergraduate to four-year undergraduate, plus two-year master's) pilot class that year.
As the world's largest professional academic organization in the field of computing, ACM's influence is self-evident. Founded in 1947 and currently has more than 100,000 members in more than 130 countries and territories around the world, the Turing Award is the most prestigious and noble award in the computer industry, known as the "Nobel Prize of computing".
The ACM Fellow, on the other hand, was established in 1993 to recognize scientists who have been in computing and information technology for more than five years and have made "Exceptional Contributions", the top 1% of all ACM members. To date, more than 1,000 ACM Fellows have been born.
"Computer professionals have made leaps and bounds in the way we live, work and play." Gabriele Kotsis, Chairman of ACM, said: "New technologies are the result of a clever combination of many individual contributions, often built on the various contributions accumulated over decades. However, without the basic composition of individual contributors, technological progress is not possible. The ACM Fellows program recognizes the creativity and hard work of ACM members whose accomplishments have made broader progress possible. ”
In keeping with ACM's global reach, 2021 academic representatives are from universities, companies and research centers in Belgium, China, France, Germany, India, Israel, Italy, and the United States.
ACM Fellow's contributions in 2021 span all aspects of computing – including cloud database systems, deep learning acceleration, high-performance computing, robotics, and theoretical computer science.
Here are the introductions of the 13 Chinese scholars selected this year:
Zhang Zhiwei
2021 ACM Fellow is out! Tang Jie, Xie Tao, Li Feifei, Liu Tieyan and other 13 Chinese scientists were selected
Zhiwei Zhang is an adjunct professor in Stanford's Department of Computer Science and an IEEE Fellow. He also serves as an AI/NLP consultant for SmartNews and AILLY.ai. Prior to his current role, he served as President of HTC's Healthcare Division (DeepQ) from 2012 to 2021. From 2006 to 2012, he served as Google's Director of Research, leading scalable machine learning, indoor targeting, Google Q&A, and recommendation systems. From 1999 to 2006, He was a full professor in the Department of Electrical and Computer Engineering at the University of California, Santa Barbara.
He joined UCSB in 1999 after earning a master's degree in computer science and a ph.D. in electrical engineering from Stanford University. He has been honorably nominated for the NSF Career Award, the Google Innovation Award, the $1 million Tricorder XPRIZE (Artificial Intelligence in Disease Diagnosis) Award, and the ACM SIGMM Time Test Award. Zhiwei Zhang has been working on data-driven parallel machine learning since 2005. He was named an IEEE Fellow for his contributions to scalable machine learning and healthcare.
Why: Contribute to scalable machine learning and healthcare.
Personal homepage: https://profiles.stanford.edu/edward-chang
Pan Zhigang
2021 ACM Fellow is out! Tang Jie, Xie Tao, Li Feifei, Liu Tieyan and other 13 Chinese scientists were selected
Pan Zhigang, Chair Professor of Electrical Engineering at silicon laboratories at the University of Texas at Austin, IEEE Fellow, SPIE Fellow. His research interests include electronic design automation, manufacturing design, machine learning, hardware acceleration, and more.
He received his bachelor's degree from Peking University and his master's and doctoral degrees from UCLA. From 2000 to 2003, he was a researcher at the IBM T. J. Watson Research Center. He has published more than 420 journal articles and conference papers and holds 8 U.S. patents.
His research contributions have received several awards, including the 2013 SRC Award for Excellence in Technology, THE DAC's 50th Top 10 Authors, the DAC Prolific Author Award, the ASP-DAC Highly Cited Author Award, the ASP-DAC Prolific Author Award, the 20 Best Paper Awards and 18 Best Paper Awards honorable mentions, as well as numerous international CAD competition awards. His students have also received many awards, including first place in the ACM Student Research Competition Finals, gold medal in the ACM/SIGDA Student Research Competition, ACM Outstanding PhD EDA Thesis, EDAA Outstanding Dissertation Award, etc.
Reason for selection: Contributing to manufacturing design and physical design in electronic design automation.
Personal homepage: http://users.ece.utexas.edu/~dpan/
Hu Xiaobo
2021 ACM Fellow is out! Tang Jie, Xie Tao, Li Feifei, Liu Tieyan and other 13 Chinese scientists were selected
Xiaobo Hu is a professor in the Department of Computer Science and Engineering at the University of Notre Dame, an IEEE Fellow, and the Chairman of ACM SIGDA. His research interests include low-power system design, circuit and structural design of emerging technologies, hardware-software co-design, and real-time embedded systems.
He has published more than 300 papers on low-power system design, circuit and architecture design based on emerging technologies, software and hardware collaborative design and embedded systems, and has won the Design Automation Conference, ACM/IEEE International Symposium on Low Power Electronics and Design Best Paper Award, and NSF Outstanding Achievement Award.
He received the Professional Achievement Award from the National Science Foundation in 1997, the Best Paper Award from the ACM/IEEE Conference on Design Automation (DAC) in 2001, the Best Paper Award from the IEEE Nanostructure Symposium in 2009, and the Best Paper Award from the ACM/IEEE International Symposium on Low-Power Electronics and Design (ISLPED) in 2018.
Reason for selection: Contributed to the design of power-constrained and real-time embedded systems.
Personal homepage: https://sites.nd.edu/xsharon-hu/
Tang Jie
2021 ACM Fellow is out! Tang Jie, Xie Tao, Li Feifei, Liu Tieyan and other 13 Chinese scientists were selected
Jie Tang is a full professor in the Department of Computer Science and Technology at Tsinghua University, the deputy director of the Department of Computer Science, and the director of the Tsinghua-Academy of Engineering Joint Laboratory for Knowledge Intelligence, IEEE Fellow. Research interests include artificial intelligence, data mining, social networking, machine learning, and knowledge graphs, with a focus on designing new algorithms for mining social and knowledge networks.
He has published more than 200 papers and holds more than 20 patents. He has served as the executive editor of the international journal ACM TKDD and the program committee chairman of the international conference CIKM'16 and WSDM'15, the vice president of the KDD'18 Conference, and the editorial board of IEEE TKDE, ACM TIST, IEEE TBD and other journals. He has won the Royal Society-Newton Advanced Scholarship, ccf Young Scientist Award, National Natural Science Foundation of China Outstanding Young Scholar, Beijing Science and Technology Progress Award, Chinese Society of Engineering And Industry Science and Technology Progress First Prize, KDD'18 Outstanding Contribution Award.
Reason for selection: Contribute to information and social network mining.
Personal homepage: http://keg.cs.tsinghua.edu.cn/jietang/
Wang Wenping
2021 ACM Fellow is out! Tang Jie, Xie Tao, Li Feifei, Liu Tieyan and other 13 Chinese scientists were selected
Wenping Wang, currently a professor in the Department of Visualization at Texas A&M University, was a Chair Professor and Chair of the Department of Computer Science at the University of Hong Kong (2012-2017). He graduated from the Department of Computer Science of Shandong University with bachelor's degree and master's degree from the Department of Computer Science of the University of Alberta. His research interests include computer graphics, computer vision, robotics and geometric modeling, and he has published more than 180 papers, and has made many groundbreaking research contributions in collision detection, shape modeling and analysis, mesh generation, and architectural geometry.
Reason for selection: Contributions to geometric modeling and computer graphics.
Personal homepage: https://engineering.tamu.edu/cse/profiles/Wang-Wenping.html
Xie Tao
2021 ACM Fellow is out! Tang Jie, Xie Tao, Li Feifei, Liu Tieyan and other 13 Chinese scientists were selected
Xie Tao is a Chair Professor at Peking University. He has served as an Assistant Professor and Associate Professor in the Department of Computer Science at North Carolina State University (2005-2013), Associate Professor (2013-2017) and Full Professor (since 2017) in the Department of Computer Science at the University of Illinois at Urbana-Champaign (UIUC), USA, and is an overseas Outstanding Youth Science Grant recipient and a recipient of its continued grant. He has been engaged in the research of software engineering for a long time, and has made a lot of pioneering work in software testing, software analytics, software security, intelligent software engineering, education software engineering, etc., and has achieved outstanding research results.
Reason for selection: Contribution to software testing and analysis.
Personal homepage: https://cs.pku.edu.cn/info/1078/2208.htm
Yang Mingxuan
2021 ACM Fellow is out! Tang Jie, Xie Tao, Li Feifei, Liu Tieyan and other 13 Chinese scientists were selected
Mingxuan Yang is a professor in the Department of Electrical Engineering and Computer Science at the University of California, Merced, and a Research Scientist at Google. He studied Computer Science and Power Mechanical Engineering at National Tsinghua University in Taiwan, followed by Computer Science and Brain Theory at the University of Southern California, Artificial Intelligence and Operations Research at the University of Texas at Austin, and Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign in 2000.
His research interests include computer vision, pattern recognition, artificial intelligence, robotics and machine learning, and his work with the team has won several dissertation awards, including CVPR 2018 Best Paper Honorable Mention, ACCV 2018 Best Student Paper Honorable Mention, ACM UIST 2017 Best Paper Honorable Mention, and so on.
Reasons for selection: Contributions to visual tracking, facial processing and low-level vision.
Personal homepage: https://faculty.ucmerced.edu/mhyang/
Lee Hai
2021 ACM Fellow is out! Tang Jie, Xie Tao, Li Feifei, Liu Tieyan and other 13 Chinese scientists were selected
He is currently Professor Clare Boothe Luce in the Department of Electrical and Computational Engineering at Duke University, where he received his B.S. and M.S. from Tsinghua University and his Ph.D. from Purdue University. Her research interests include neuromorphic computing systems, machine learning acceleration and trusted AI, emerging storage technologies, circuits and architectures, and low-power circuits and systems, and her work with the team has won ASPDAC 2015 and 2017 Best Paper Awards, ISVLSI 2014 Best Paper Awards, GLSVLSI 2013 Best Paper Awards, ISQED 2008 Best Paper Awards, and other honors.
Reason for selection: Contributions to neuromorphic computing and deep learning acceleration
2021 ACM Fellow is out! Tang Jie, Xie Tao, Li Feifei, Liu Tieyan and other 13 Chinese scientists were selected
He is currently a vice president and senior researcher of Alibaba Group and the head of Alibaba Cloud Intelligent Database Business Unit. ACM Distinguished Scientist of the American Computer Association, prior to joining Alibaba, he was a tenured professor in the Department of Computer Science at the University of Utah. The research achievements have won important academic awards such as IEEE ICDE and ACM SIGMOD Best Paper Award for many times. He is also the deputy director of the CCF Big Data Expert Committee of the China Computer Association and a member of the Standing Committee of the Database Professional Committee.
Reason for selection: Contribution to query processing and optimization and cloud database systems
Personal homepage: https://conferences.computer.org/services/2020/keynotes/li.html
Zhao Yanbin
2021 ACM Fellow is out! Tang Jie, Xie Tao, Li Feifei, Liu Tieyan and other 13 Chinese scientists were selected
Yanbin Zhao, currently a professor of computer science at the University of Chicago, and together with Professor Heather Zheng, co-direct the UNIVERSITY's SAND Lab (security, algorithms, networks, and data). He received his Ph.D. in Computer Science from the University of California, Berkeley in 2004, his M.S. from Berkeley in 2000, and his B.S. in Computer Science from Yale University in 1997.
His research interests include P2P networks, online social networks, SDR/open spectrum systems, graph mining and modeling, user behavior analysis, and adversarial machine learning. Since 2016, he has focused on security and privacy issues in machine learning and mobile systems.
Yanbin Zhao is a distinguished scientist at ACM who has won the NSF CAREER Award (2005), the MIT Tech Review's TR-35 Award (Young Innovator Under 35) (2006), and the IEEE Internet Technical Committee's Early Career Award (2014), and was one of the 40 Innovators selected by ComputerWorld magazine.
Reason for selection: Contribution to P2P systems and online social networks.
Personal homepage: https://people.cs.uchicago.edu/~ravenben/
Li Ninghui
2021 ACM Fellow is out! Tang Jie, Xie Tao, Li Feifei, Liu Tieyan and other 13 Chinese scientists were selected
Ninghui Li is a professor of computer science at Purdue University and an IEEE Fellow. He received his Ph.D. and M.S. in Computer Science from New York University in 2000 and 1998, and his B.S. in Computer Science from the University of Science and Technology of China in 1993.
He has been conducting research on security and privacy, including data privacy, applied cryptography, access control, trust management, and human factors in security and privacy, and has published more than 150 papers in these areas.
He has served on the program committees of more than 150 international conferences and seminars in the field of computer security, databases, and data mining. In 2014 and 2015, he served as Project Chair of the ACM Conference on Computer and Communications Security (CCS).
Professor Lee's research has received several NSF grants and received the NSF CAREER Award in 2005. His research has also been supported by the Office of Air Force Scientific Research (AFOSR), the Office of Army Research (ARO), the National Security Agency (NSA), IBM Research, Google, and Samsung.
Reasons for selection: Contributions to data privacy, access control and trust management
Personal homepage: https://www.cs.purdue.edu/homes/ninghui/
Zhong Lin
2021 ACM Fellow is out! Tang Jie, Xie Tao, Li Feifei, Liu Tieyan and other 13 Chinese scientists were selected
Lin Zhong is a professor of computer science at Yale University and an IEEE Fellow. He received his bachelor's and master's degrees from Tsinghua University and his Ph.D. from Princeton University.
His research involves mobile network infrastructure and devices, pushing the limits of software systems and control systems for quantum computers by employing analog hardware, formal methods, and new systems programming languages.
From 2005 to 2019, he worked at Rice University. At Yale, he led the Efficient Computing Lab, which makes computing, communication, and interfaces more efficient and effective. His research with students has won ACM MobileHCI, IEEE PerCom and ACM MobiSys(3) and the ACM ASPLOS Best Paper Award. He is also the recipient of the National Science Foundation CAREER Award, rice University Duncan Award, and ACM SIGMOBILE RockStar Award.
Reason for selection: Contribution to mobile and network systems
Personal homepage: http://www.linzhong.org/
Liu Tieyan
2021 ACM Fellow is out! Tang Jie, Xie Tao, Li Feifei, Liu Tieyan and other 13 Chinese scientists were selected
Tieyan Liu, Principal Investigator at Microsoft Research Asia, leads research efforts in machine learning and artificial intelligence. In recent years, Dr. Liu has made great achievements in game machine learning, deep learning, distributed machine learning, etc., promoting the integration between machine learning and information retrieval, and is recognized by the international academic community as a representative of the field of "sorted learning".
His academic papers in the field have been cited nearly 10,000 times, and he was invited by Springer Press to write the first academic monograph in the field (and became one of the top ten best-selling books for Chinese authors in the field of computer science at Springer).
At present, his research work has won the Best Paper Award, the Highest Citation Paper Award, and the Research Breakthrough Award, and has been widely used in Microsoft's products and online services, and has been open sourced through the Microsoft Cognitive Toolkit (CNTK), Microsoft Distributed Machine Learning Toolkit (DMTK), Microsoft Graph Engine and other projects.
Reason for selection: Contribute to machine learning algorithms and their applications
Full list
2021 ACM Fellow is out! Tang Jie, Xie Tao, Li Feifei, Liu Tieyan and other 13 Chinese scientists were selected
2021 ACM Fellow is out! Tang Jie, Xie Tao, Li Feifei, Liu Tieyan and other 13 Chinese scientists were selected
2021 ACM Fellow is out! Tang Jie, Xie Tao, Li Feifei, Liu Tieyan and other 13 Chinese scientists were selected
2021 ACM Fellow is out! Tang Jie, Xie Tao, Li Feifei, Liu Tieyan and other 13 Chinese scientists were selected
2021 ACM Fellow is out! Tang Jie, Xie Tao, Li Feifei, Liu Tieyan and other 13 Chinese scientists were selected
2021 ACM Fellow is out! Tang Jie, Xie Tao, Li Feifei, Liu Tieyan and other 13 Chinese scientists were selected
2021 ACM Fellow is out! Tang Jie, Xie Tao, Li Feifei, Liu Tieyan and other 13 Chinese scientists were selected
2021 ACM Fellow is out! Tang Jie, Xie Tao, Li Feifei, Liu Tieyan and other 13 Chinese scientists were selected
Heavy! The 2021 ACM Outstanding Scientists List is released: 19 Chinese scholars such as An Bo, Yu Jingyi, and Liu Yiqun are on the list
2021-12-16
2021 ACM Fellow is out! Tang Jie, Xie Tao, Li Feifei, Liu Tieyan and other 13 Chinese scientists were selected
2020 ACM Fellow! The Turing Award winners sat down, and 12 Chinese scientists such as Chen Yiran, Yan Shuicheng and Zhou Kun were selected
2021-01-14
2021 ACM Fellow is out! Tang Jie, Xie Tao, Li Feifei, Liu Tieyan and other 13 Chinese scientists were selected
The 2022 IEEE Fellow List was announced, and Chinese accounted for nearly 1/3! Shan Shiguang, Zheng Yefeng, Wang Jingdong, Wang Haifeng, Shen Hengtao and others were selected
2021-11-24
2021 ACM Fellow is out! Tang Jie, Xie Tao, Li Feifei, Liu Tieyan and other 13 Chinese scientists were selected
Author|Li Feifei Planning|Chu XingjuanLi Feifei's resume is very eye-catching: at the age of 33, he won the title of tenured associate professor at Stanford, becoming the first person to serve as the director of the Stanford University Artificial Intelligence Laboratory...
