Google's 2018 PhD Fellowships are announced, and the eight selected Chinese students all graduated from domestic universities

According to Leifeng.com AI Technology Review: The list of 2018 Google PhD Fellowship (North America, Europe, and the Middle East) was released recently. A total of 39 doctoral students were selected, including 8 Chinese.

The Google PhD program was established in 2009 to recognize outstanding PhD students in computer science and related disciplines. It has been 9 years since then. The program has supported hundreds of outstanding PhD students, some of whom have become teachers, industry researchers, entrepreneurs or business owners. According to Leifeng.com, the selected students can not only receive a considerable amount of research funding, but also have the opportunity to obtain internships at Google and have in-depth exchanges with experienced research institute mentors.

Leifeng.com learned that the Google PhD Scholarship must be applied for by eligible schools (students are not allowed to apply directly), and each school can only nominate two doctoral students, so the competition is very fierce. The selection areas include the following 12 directions:

• Algorithms, Optimizations and Markets

• Computational Neuroscience
  

• Human-Computer Interaction
  

• Machine Learning
  

• Mobile Computing
  

• Machine Perception, Speech Technology and Computer Vision
  

• Natural Language Processing
  

• Privacy and Security
  

• Programming Technology and Software Engineering
  

• Quantum Computing
  

• Structured Data and Database Management
  

• Systems and Networking
  

Yuan Deng, Duke University

Selected fields: Algorithms, Optimization and Market

Personal homepage: https://users.cs.duke.edu/~ericdy/

Profile: I am a third-year PhD student in Computer Science at Duke University. My supervisor is Vincent Conitzer. My research interests are theoretical computer science, especially algorithmic game theory and machine learning. I studied in Tsinghua University Yao Class for undergraduates. My supervisor is Tang Pingzhong. I have published 8 articles so far.

Lin Chen, Yale University

Selected field: Machine Learning

Personal homepage: http://campuspress.yale.edu/lchen/

Introduction: PhD student in the Department of Electrical Engineering at Yale University, with Amin Karbasi as his advisor. His research interests are in the mathematical theory of machine learning. He received his master's degree from Peking University in 2014. Since 2013, he has published 17 papers in various top conferences and 3 papers in journals (IEEE TVT).

Qian Yu, University of Southern California

Selected field: Machine Learning

Personal homepage: https://sites.google.com/usc.edu/qyu/home

Profile: PhD in Electrical Engineering from the University of Southern California, with Salman Avestimehr as his advisor. His research interests include network information theory, distributed computing, machine learning algorithms, and reversible logic gates. From 2010 to 2011, he studied for his master's degree in electrical engineering at Tsinghua University. In 2011, he transferred to MIT and received a double degree in electrical engineering and computer science and physics in 2014. From 2014 to 2015, he received a master's degree in engineering from MIT. He has published 14 articles (+ preprints).

Shuang Liu, University of California, San Diego

Selected field: Machine Learning

Personal homepage: https://shuang-liu.github.io/

Profile: Second year PhD student in Computer Science and Engineering at the University of California, Los Angeles. My supervisor is Kamalika Chaudhuri. My research interests are in machine learning theory and applications. I received my bachelor’s degree in computer science from Shanghai Jiao Tong University. I have published two papers.

Xinchen Yan, University of Michigan

Selected field: Machine Learning

Personal homepage: https://sites.google.com/site/skywalkeryxc/

Profile: I am a fourth-year PhD student in Computer Science and Engineering at the University of Michigan. My supervisor is Honglak Lee. My research interests include machine learning and the application of computer vision in robotics. I received my bachelor's degree in Computer Science from Shanghai Jiao Tong University. I have published 8 papers in total.

Shilin Zhu, University of California, San Diego

Selected field: Mobile computing

Personal homepage: http://cseweb.ucsd.edu/~shz338/

Profile: Second year PhD student at UC San Diego. Research interests include mobile computing, machine learning, computer vision, cognition, and statistical models. Graduated from the Department of Electrical Engineering and Information Science, University of Science and Technology of China in 2016. Published 19 papers.

Yang Liu, University of Edinburgh

Selected field: Natural language processing

Personal homepage: https://nlp-yang.github.io/

Profile: PhD student at ILCC, University of Edinburgh, with Mirella Lapata as supervisor. Research interests include structure learning and discourse analysis. Bachelor's degree in Computer Science from Tianjin University, Master's degree from Peking University in 2016, with Professor Li Sujian as supervisor. Published 9 papers in total.

Lingjiao Chen, University of Wisconsin

Selected fields: Structured data and database management

Personal homepage: https://lchen001.github.io/

Profile: Graduate student in computer science at the University of Wisconsin-Madison. Research interests include data management, machine learning, and optimization. Bachelor degree from Southeast University Chien-Shiung Wu College. Published 9 papers so far.

Algorithms, Optimizations and Markets

Emmanouil Zampetakis, Massachusetts Institute of Technology

Manuela Fischer, ETH Zurich CS

Thodoris Lykouris, Cornell University

Yuan Deng, Duke University

Computational Neuroscience

Ella Batty, Columbia University

Neha Spenta Wadia, University of California, Berkeley

Reuben Feinman, New York University

Human-Computer Interaction

Gierad Laput, Carnegie Mellon University

Mike Schaekermann, University of Waterloo

Minsuk (Brian) Kahng, Georgia Tech

Machine Learning

Aditi Raghunathan, Stanford University

Lin Chen, Yale University

Qian Yu, University of Southern California

Ravid Shwartz-Ziv, The Hebrew University of Jerusalem

Shuang Liu, University of California, San Diego

Stephen Tu, University of California, Berkeley

Xinchen Yan, University of Michigan, Ann Arbor

Zelda Mariet, Massachusetts Institute of Technology

Mobile Computing

Shilin Zhu, University of California, San Diego

Machine Perception, Speech Technology and Computer Vision

Antoine Miech, INRIA

Arsha Nagrani, University of Oxford (ES)

Joseph Redmon, University of Washington

Raymond Yeh, University of Illinois, Urbana-Champaign

Shanmukha Ramakrishna Vedantam, Georgia Tech

Natural Language Processing

Anne Cocos, University of Pennsylvania

Jonathan Herzig, Tel Aviv University

Rotem Dror, Technion - Israel Institute of Technology

Yang Liu, The University of Edinburgh

Yoon Kim, Harvard University

Privacy and Security

Aayush Jain, University of California, Los Angeles

Programming Technology and Software Engineering

Gowtham Kaki, Purdue University, West Lafayette

Reyhaneh Jabbarvand, University of California, Irvine

Victor Lanvin, Paris Mathematical Sciences Foundation

Quantum Computing

Erika Ye, California Institute of Technology

Structured Data and Database Management

Lingjiao Chen, University of Wisconsin

Systems and Networking

Andrea Lattuada, ETH Zurich CS

Lana Josipović, EPFL CS

Michael Schaarschmidt, University of Cambridge - Computer Laboratory

Rachee Singh, University of Massachusetts, Amherst