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The 2023 ACM Fellow was announced: 1/5 of the Chinese were selected, and 68 people, including the Big Three of Deep Learning, were elected

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美国计算机协会 ACM(Association for Computing Machinery)公布了最新一届 Fellow 名单。

Founded in 1947, ACM is one of the world's most influential professional academic organizations in the field of computing.

ACM Fellow is an honor given to fellow members by the organization to recognize the top 1% of academics in the field of computer science who have contributed to the top 1% of its members, and its review process is rigorous, with annual selection, fellows nominated by peers, and nominations reviewed by committees.

A total of 68 new scientists were selected this year, whose contributions span areas such as cybersecurity, human-computer interaction, mobile computing, and recommender systems.

Surprisingly, Geoffrey Hinton, Yoshua Bengio, and Yann LeCun, the three giants of deep learning who have won ACM Turing Awards, were all selected as ACM Fellows this year.

This year's inductees also include Ma Weiying, Chen Haibo and many other Chinese scholars.

Here is the full list of selected members:

Aditya Akella

  • Institution: University of Texas
  • Why: Contribute to improving the performance, efficiency, and robustness of cluster computing.

Michael Backes

  • Institution: CISPA
  • Reason for selection: Contribution to information security and privacy.

Vineet Bafna

  • Institution: University of California, San Diego
  • Reason for selection: Contribution to the theory, design, and implementation of bioinformatics algorithms.

Yoshua Bengio

The 2023 ACM Fellow was announced: 1/5 of the Chinese were selected, and 68 people, including the Big Three of Deep Learning, were elected
  • Institutions: Mila, Université de Montréal
  • Why it was selected: Conceptual and engineering breakthroughs have made deep neural networks a key component of computing.

Maria-Florina Balcan

  • Institution: Carnegie Mellon University (CMU)
  • Reason for selection: Contribution to basic research on machine learning and its application in the field of algorithmic economics and algorithm design.

Nikhil Bansal

  • Institution: University of Michigan
  • Reason for selection: Contribution to the basic research of approximation algorithms and online algorithms and their relevance to mathematics.

Mikhail Belkin

  • Institution: University of California, San Diego
  • Reason for selection: Contribution to modern machine learning theories and algorithms.

Shai Ben-David

  • Institution: University of Waterloo
  • Reason for selection: Contribute to the leadership of machine learning theory research.

Vaughn Timothy Betz

  • Institution: University of Toronto
  • Reason for selection: Contribute to the architecture and computer-aided design of field-programmable gate arrays (FPGAs).

Ramon Caceres

  • Agency: Google
  • Reason for selection: Contribution to mobile and edge computing.

Chandra Chekuri

  • Institution: University of Illinois at Urbana-Champaign (UIUC)
  • Reason for selection: Contribution to the optimization of the approximation algorithm and the ZI module.

陈海波(Haibo Chen)

The 2023 ACM Fellow was announced: 1/5 of the Chinese were selected, and 68 people, including the Big Three of Deep Learning, were elected
  • Institution: Shanghai Jiao Tong University
  • Reason for selection: Contribute to improving the scalability and security of operating systems and distributed systems.
  • Haibo Chen is a distinguished professor at Shanghai Jiao Tong University, director of the Institute of Parallel and Distributed Systems, and director of the Engineering Research Center of the Ministry of Education for Domain Operating Systems. He has been elected as an IEEE Fellow and ACM Distinguished Scientist, and his main research interests are operating systems, distributed systems, formal methods, system security, and system architecture.

Yingying (Jennifer) Chen

The 2023 ACM Fellow was announced: 1/5 of the Chinese were selected, and 68 people, including the Big Three of Deep Learning, were elected
  • Institution: Rutgers University
  • Reason for selection: Contribute to the design and application of mobile sensing and mobile security systems.
  • Yingying (Jennifer) Chen is a professor of electrical and computer engineering at Rutgers University and has been elected as an IEEE Fellow, AAIA Fellow, NAI Fellow, and ACM Distinguished Scientist with research interests in mobile health, Internet of Things, cybersecurity and privacy, mobile computing, and sensing.

Kenneth Ward Church

  • Institutions: EAI, Northeastern University
  • Reason for selection: Contribution to empirical methods in natural language processing.

Roger B. Dannenberg

  • Institution: Carnegie Mellon University (CMU)
  • Reason for selection: Contribution to computer science through innovative computer music systems.

Xin Luna Dong

The 2023 ACM Fellow was announced: 1/5 of the Chinese were selected, and 68 people, including the Big Three of Deep Learning, were elected
  • Institution: Meta
  • Reason for selection: Contribute to knowledge graph building and data integration.
  • Xin Luna Dong is the Chief Scientist at Meta Reality Labs, where she leads machine learning efforts related to building intelligent personal assistants, innovating and producing technologies such as contextual AI, multimodal conversations, search, Q&A, recommendation and personalization, and knowledge gathering and mining.

Rolf Drechsler

  • Institution: University of Bremen, Germany
  • Reason for selection: Contribute to the basic research and application of formal proof technology in synthesis, testing and verification.

Wenliang Du

The 2023 ACM Fellow was announced: 1/5 of the Chinese were selected, and 68 people, including the Big Three of Deep Learning, were elected
  • Institution: Syracuse University
  • Reason for selection: Contribution to cybersecurity education and research.
  • Wenliang Du is a professor at Syracuse University and has been teaching computer security for over 20 years. With funding from the National Science Foundation (NSF), he developed more than 40 laboratories (known as SEED Labs) over a 20-year period. These labs are now used by more than 1,100 universities, colleges, and high schools.

Pradeep Dubey

  • Agency: Intel
  • Selected for his contributions to emerging computing and data-intensive applications, as well as parallel processing computer architectures.

Anja Feldmann

  • Institutions: Max Planck Institute, Technical University of Berlin
  • Reason for selection: Contribute to data-driven analytics of operational networks.

George Fitzmaurice

  • Institution: Autodesk, Inc
  • Selected for his contributions to human-computer interaction and physical user interface (TUI).

Fedor Fomin

  • Institution: University of Bergen
  • Reason for selection: Contribution to the development of parametric complexity and accurate exponential algorithms.

Jeffrey S. Foster

  • Institution: Tufts University
  • Reason for selection: Contribute to program analysis and technology to build more reliable and secure software.

Jianfeng Gao

The 2023 ACM Fellow was announced: 1/5 of the Chinese were selected, and 68 people, including the Big Three of Deep Learning, were elected
  • Institution: Microsoft
  • Selected for his contributions to machine learning for web search, natural language processing, and conversational systems.
  • Jianfeng Gao is an IEEE Fellow, a Distinguished Scientist at Microsoft, and a Vice President of Microsoft. At Microsoft, he leads the deep learning group. The group's mission is to advance the latest technologies in deep learning and its application to natural language and image understanding, and to make progress in conversational models and methods.

Ian Goldberg

  • Institution: University of Waterloo
  • Reason for selection: Contribution to the development and application of privacy-enhancing technologies.

Sumit Gulwani

  • Institution: Microsoft
  • Why: Contributions to AI-assisted programming for developers, data scientists, end users, and students.

韩竹(Zhu Han)

The 2023 ACM Fellow was announced: 1/5 of the Chinese were selected, and 68 people, including the Big Three of Deep Learning, were elected
  • Institution: University of Houston
  • Reason for selection: Contribute to the distributed and autonomous management of large-scale communication networks.
  • Zhu received his B.S. in Electrical Engineering from Tsinghua University in 1997 and his M.S. and Ph.D. degrees in Electrical and Computer Engineering from the University of Maryland, College Park in 1999 and 2003, respectively. Currently, he is the John and Rebecca Moores Professor in the Department of Electrical and Computer Engineering and the Department of Computer Science at the University of Houston. His main research goal is novel game-theoretic-related concepts that are essential for the efficient and distributed use of wireless networks with limited resources.

Geoffrey Hinton

The 2023 ACM Fellow was announced: 1/5 of the Chinese were selected, and 68 people, including the Big Three of Deep Learning, were elected
  • Institution: University of Toronto
  • Rationale: Conceptual and engineering breakthroughs that have made deep neural networks a key component of computing.

Nicole Immorlica

  • Institution: Microsoft Research
  • Reasons for selection: Contributions to economics and computing, including market design, auctions, and social networks.

Trent Jaeger

  • Institution: Pennsylvania State University
  • Reason for selection: Contribution to research and education on operating system and software security.

Kenneth Richard Koedinger

  • Institution: Carnegie Mellon University
  • Reason for selection: Contribution to the development of AI models that facilitate human learning and the development of intelligent tutors to help students.

Andreas Krause

  • Institution: ETH Zurich
  • Reason for selection: Contribution to learning decision-making under uncertain conditions.

Christopher Ian Kruegel

  • Institution: University of California, Santa Barbara
  • Selected for contributions to system security, malware detection, and vulnerability analysis.

孔祥重(H.T. Kung)

The 2023 ACM Fellow was announced: 1/5 of the Chinese were selected, and 68 people, including the Big Three of Deep Learning, were elected
  • Institution: Harvard University
  • Reason for selection: Contribution to computer architecture and concurrency control for parallel computing.

Yann LeCun

The 2023 ACM Fellow was announced: 1/5 of the Chinese were selected, and 68 people, including the Big Three of Deep Learning, were elected
  • Institution: New York University
  • Why it was selected: Conceptual and engineering breakthroughs have made deep neural networks a key component of computing.

Tim Berners-Lee

The 2023 ACM Fellow was announced: 1/5 of the Chinese were selected, and 68 people, including the Big Three of Deep Learning, were elected
  • Institution: World Wide Web Consortium
  • Reason for selection: The invention of the World Wide Web, the first web browser, and the basic protocols and algorithms that allow the web to scale.

David Lo

  • Institution: Singapore Management University
  • Reason for selection: Contribute to the realization of human-robot collaborative automation and collaborative software analysis.

Wenjing Lou

The 2023 ACM Fellow was announced: 1/5 of the Chinese were selected, and 68 people, including the Big Three of Deep Learning, were elected
  • Institution: Virginia Polytechnic Institute & State University
  • Reason for selection: Contribution to information and cybersecurity.
  • Wenjing Lou is the W. C. English Professor of Computer Science at the Virginia Institute of Technology, where her research interests focus on blockchain, privacy in machine learning systems, and security and privacy issues in Internet of Things (IoT) systems, and is one of the most cited researchers in the Web of Science Group. Currently, she serves as Vice Chair of the IEEE INFOCOM Steering Committee and is an IEEE Fellow.

(Kwan-Liu Ma)

The 2023 ACM Fellow was announced: 1/5 of the Chinese were selected, and 68 people, including the Big Three of Deep Learning, were elected
  • Institution: University of California, Davis
  • Why: Contribution to large-scale data visualization research and leadership in their field.
  • Kwan-Liu Ma is a distinguished professor in the Department of Computer Science at the University of California, Davis, where he leads the VIDI Lab and the UC Davis Center for Excellence for Visualization. His research interests include visualization, computer graphics, human-computer interaction, and high-performance computing. Currently, he leads a research team focusing on the fields of big data visualization, visual analytics, visual storytelling, scientific visualization, intelligent systems, and immersive visualization. He has also served on the editorial boards of several top international journals, is a member of LFHCfS, and was elected as an IEEE Fellow in 2012.

马维英(Wei-Ying Ma)

The 2023 ACM Fellow was announced: 1/5 of the Chinese were selected, and 68 people, including the Big Three of Deep Learning, were elected
  • Institution: Tsinghua University
  • Selected for: Contribution to web search and data mining and leadership in their field.
  • Ma Weiying is currently the Chief Scientist of the Institute of Intelligent Industry at Tsinghua University. His research interests include several core areas of artificial intelligence (search, big data mining, machine learning, natural language understanding and generation). After joining Tsinghua University, he led a research team to promote interdisciplinary research and application in the fields of artificial intelligence and biology, chemistry, and life sciences. Previously, he served as Vice President and Director of Artificial Intelligence Lab at ByteDance, and former Executive Vice President of Microsoft Research Asia. He has published more than 300 papers in world-class conferences and journals, holds more than 160 technical patents, is an IEEE Fellow, ACM Distinguished Scientist, and is a member of the editorial board of several top international journals and the organization and program committee of many international conferences.

茅斫青(Z. Morley Mao)

The 2023 ACM Fellow was announced: 1/5 of the Chinese were selected, and 68 people, including the Big Three of Deep Learning, were elected
  • Institution: University of Michigan
  • Reason for selection: Contributions to Internet security and performance
  • Z. Mao Morley Mao) is a professor in the Department of Electrical Engineering and Computer Science at the University of Michigan. Received his bachelor's, master's, and doctoral degrees from the University of California, Berkeley. Her research interests include network systems, mobile and distributed systems, and network/system security.

Deborah McGuinness

  • Institution: Rensselaer Polytechnic Institute
  • Reason for selection: Contributions to knowledge technologies, including ontology and knowledge graphs.

Gerard G. Medioni

  • Agency: Amazon
  • Selected for its contributions to computer vision and its consumer-facing applications.

Sharad Mehrotra

  • Institution: University of California, Irvine
  • Reason for selection: Contributions to the fields of data management, multimedia information retrieval, and emergency response.

Seffi Naor

  • Institution: Technion-Israel Institute of Technology
  • Reason for selection: Contributions to online, random, and approximate algorithms.

Shrikanth Narayanan

  • Institution: University of Southern California
  • Selected for contributions to speech, language, multimedia processing, affective computing, and their human-centered applications.

Natasha Noy

  • Institution: Google Research
  • Selected for Contributions to Open Data, Data Discovery, and the Semantic Web.

Corina S Pasareanu

  • Institutions: NASA Ames Research Center, Carnegie Mellon University
  • Reason for selection: Contribution to the development and application of symbol execution and composition verification.

Massoud Pedram

  • Institution: University of Southern California
  • Reason for selection: Contribution to low-power design and energy-efficient computing of VLSI circuits.

Anand Raghunathan

  • Institution: Purdue University
  • Reason for selection: Contribution to the design of energy-efficient computing systems.

Benjamin Raphael

  • Institution: Princeton University
  • Reason for selection: Contributions to computational biology, including cancer genomics/evolutionary algorithms and biological network analysis.

Dana Ron

  • Institution: Tel Aviv University
  • Reason for selection: Contribution to sublinear time approximation algorithms.

Tim Roughgarden

  • Institution: Columbia University
  • Reason for selection: Contributions to algorithmic game theory.

David Sankoff

  • Institution: University of Ottawa
  • Reason for selection: Research and leadership contributions in computational biology and bioinformatics.

Stefan Saroiu

  • Institution: Microsoft
  • Reason for selection: Contributions to memory safety and trusted computing.

Albrecht Schmidt

  • Institution: University of Munich
  • Selected for his contributions to human-computer interaction, ubiquitous computing, and implicit interactions, as well as his leadership at ACM SIGCHI.

Björn W. Schuller

  • Institution: Imperial College of Technology, Technical University of Munich
  • Reason for selection: Empirical and theoretical contributions to the development of computer hearing, affective computing, and health informatics.

Phoebe Sengers

  • Institution: Cornell University
  • Reason for selection: Contributions to critical human-computer interaction and design.

石润婷(Eaine Shi)

The 2023 ACM Fellow was announced: 1/5 of the Chinese were selected, and 68 people, including the Big Three of Deep Learning, were elected
  • Institution: Carnegie Mellon University
  • Reason for selection: Contributions to the scientific foundations of forgotten computing and decentralized blockchains.
  • Shi Yunting's research focuses on security, cryptography, and programming languages. She received her Ph.D. from Carnegie Mellon University in 2008 and her B.S. in Engineering from Tsinghua University in 2003. She has received Packard Fellowship, Sloan Fellowship, NSA Best Scientific Cybersecurity Paper Award, and more.

Noah Snavely

  • Institution: Cornell Tech Campus, Google
  • Reason for selection: Contributions to computer vision and computer graphics.

Ram D. Sriram

  • Institution: National Institute of Standards and Technology (NIST).
  • Reason for selection: Contribute to the establishment of innovative computing tools and automation technologies in engineering and health care.

Steffen Staab

  • Institutions: University of Stuttgart, University of Southampton
  • Selected for their contributions to semantic technology and network science, as well as their outstanding service to the ACM community.

Alexander Szalay

  • Institution: Hopkins University
  • Selected for his contributions to systems, big data, open data, and community service.

Manik Varma

  • Institution: Microsoft Research India
  • Selected for: Contributions to machine learning and its applications.

(Xiao Wang)

The 2023 ACM Fellow was announced: 1/5 of the Chinese were selected, and 68 people, including the Big Three of Deep Learning, were elected
  • Institution: Indiana University Bloomington
  • Reason for selection: Contribution to system security and privacy.
  • Xiaofeng Wang is currently the James H. Rudy Professor in the School of Computer Science and Engineering at Indiana University, where he is also co-director of the Center for Security and Privacy in Informatics, Computing, and Engineering, director of the Master of Science in Secure Computing (MSSC) program, and an IEEE Fellow. His research focuses on system security and data privacy, with a focus on security and privacy issues in mobile and cloud computing, as well as privacy issues in the propagation and computation of human genomic data. Prof. Wang has also received numerous honors for his research, including the Outstanding Research Award for Privacy-Enhancing Technologies (PET Award), the Best Practical Paper Award at the 32nd IEEE Symposium on Security and Privacy (IEEE S&P Oakland), and two Outstanding Paper Awards at the 26th Symposium on Network and Distributed Systems Security (NDSS).

Kilian Weinberger

  • Institution: Cornell University
  • Reason for selection: Contributions to machine learning and deep learning research.

Emmett Witchel

  • Institution: University of Texas at Austin
  • Reason for selection: Contribution to high-performance, concurrent, and secure systems.

谢幸(Xing Xie)

The 2023 ACM Fellow was announced: 1/5 of the Chinese were selected, and 68 people, including the Big Three of Deep Learning, were elected
  • Institution: Microsoft Research Asia
  • Reason for selection: Contribution to spatial data mining and recommender systems.
  • Dr. Xie Xing joined Microsoft Research Asia in July 2001 and is currently a Senior Principal Investigator, a part-time doctoral supervisor at the University of Science and Technology of China, the Director of the Microsoft-USTC Joint Laboratory, and the Deputy Director of the Ubiquitous Computing Committee of the China Computer Federation. Currently, he leads a research team focused on research in the fields of data mining, social computing, and responsible artificial intelligence.

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