Shulou(Shulou.com)11/24 Report--

Recently, Google has released the winners of the 2022 doctoral Scholarship (Google PhD Fellowship). This year, a number of Chinese doctoral students have been selected, accounting for about 30% of the total.

Many of them have studied for undergraduate and master's degrees in mainland universities, including Tsinghua University, Peking University, Shanghai Jiaotong University, Zhejiang University, Harbin Institute of Technology, Shandong University, Xi'an University of Electronic Science and Technology, Beijing University of Aeronautics and Astronautics, Capital Medical University, etc. All of them are strong, some graduated from Yao class, some won numerous awards, some harvested the best papers, and some had many internships in well-known big factories.

According to the published list of the project, a total of 61 doctoral students were selected in 14 directions this year, including 12 in "machine learning", 9 in "machine perception, voice technology and computer vision", 6 in "natural language processing", 5 in "privacy and security" and 7 in "human-computer interaction".

Google's doctoral fellowship program was founded in 2009 to reward doctoral students with outstanding performance in computer science and related disciplines or other forward-looking research fields. Since its inception, the program has supported hundreds of students from Australia, China and East Asia, India, North America, Europe, the Middle East and Africa.

Selected doctoral students will receive a bonus that can be used to pay grants and other research-related activities, which vary from region to region, as well as the opportunity to work with Google research mentors.

In addition, Google PhD Fellows is invited to participate in the global PhD Fellowship Summit every year, where they have access to the most advanced research being done by Google and communicate with Google researchers and other doctoral students from around the world.

The following is an introduction to some selected Chinese doctoral students:

1 Machine Learning Lily Xu, Harvard University

Lily Xu is a doctoral student in computer science at Harvard University and his mentor is Milind Tambe. Milind Tambe, AAAI Fellow, ACM Fellow, Professor Gordon McKay of Harvard computer Department, Director of the Center for Computing and Social Research, and currently AI for Social Good Director of Google's Bangalore Institute of artificial Intelligence.

Lily Xu focuses on machine learning and game theory, as well as its application to sustainability challenges. Lily Xu graduated from Dartmouth College in 2018, majoring in computer science and Spanish. She also won a Bank of America's Joe Martin scholarship in 2014.

Personal homepage: https://lily-x.github.io/

Xiaobo Xia, University of Sydney

Xiaobo Xia, Ph. D., Department of computer Science, University of Sydney, studied under Tongliang Liu. In 2020, he graduated from the School of Telecommunication Engineering, Xi'an University of Electronic Science and Technology. Its research direction is learning with noise tags and causal discovery.

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

Yixin Liu, Monash University

Yixin Liu, Ph.D., School of Information Technology, Monash University, co-directed by Professor Pan Shirui, Griffith University, Australia, Dr. Zhang Daokun and Professor Vincent Lee, Department of data Science and artificial Intelligence, Monash University. He received his bachelor's and master's degrees from Beijing University of Aeronautics and Astronautics in 2017 and 2020. His research interests are graph representation learning and graph neural networks, especially in unsupervised and weakly supervised scenarios.

Personal homepage: https://yixinliu233.github.io/

2 Machine perception, voice technology and computer vision Qianqian Wang, Cornell University

Qianqian Wang, Ph.D. in the Department of computer Science at Cornell University, whose mentors are Noah Snavely and Bharath Hariharan, focuses on the intersection of 3D computer vision, computer graphics and machine learning. Qianqian Wang studied at Zhejiang University under Zhou Xiaowei. Zhou Xiaowei joined Zhejiang University in 2017 and is a researcher at Zhejiang University's School of computer Science and CAD & CG State key Lab. Previously, he worked as a postdoctoral researcher at the GRASP Lab of the University of Pennsylvania.

Personal homepage: https://www.cs.cornell.edu/~qqw/

Yang Shuo, Sydney University of Science and Technology

Yang Shuo, Ph.D., School of Electrical and data Engineering, Sydney University of Science and Technology, studied under Xu Min. He graduated from Harbin Institute of Technology in 2020 with Yao Hongxun as his mentor. His research direction is to build robust and general-purpose machine / deep learning systems with minimal supervision. Prior to that, Yang Shuo also worked as an intern at Baidu, Byte Jump and JD.com 's artificial Intelligence Research Institute.

Personal homepage: https://shuoyang-1998.github.io/

Yu-Ying Yeh, University of California, San Diego

Yu-Ying Yeh, Ph.D. from the University of California, San Diego, studied under Manmohan Chandraker. She graduated from National Taiwan University in 2015. Her main research interests are deep learning and computer vision, focusing on creating realistic content for AR / VR applications using computer vision and graphics technologies.

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

3 Natural language processing Shuyi Wang, University of Queensland

Shuyi Wang, Ph.D. from the University of Queensland. Her research interests include information retrieval, machine learning and statistics.

Personal homepage: http://ielab.io/people/shuyi-wang.html

4 algorithm, optimization and marketing Shunhua Jiang, Columbia University

Shunhua Jiang, Ph.D. in the theoretical computer Science Group at Columbia University, whose mentors are Omri Weinstein and Alexandr Andoni, focuses on optimization and data structures, and is also interested in other issues such as theoretical computer science and machine learning. Shunhua Jiang graduated from Yao Class of Tsinghua University and studied under Duan ran and Li Jian. In 2018, Shunhua Jiang exchanged to Aarhus University to study under Professor Kasper Green Larsen.

Personal homepage: https://www.cs.columbia.edu/~jiangsh/

Yang P. Liu, Stanford University

Yang P. Liu is a doctoral student in mathematics at Stanford University, studying under Aaron Sidford. He graduated from MIT in 2018. His research interests are theoretical computer science, especially algorithm design, geometric functional analysis and combinatorics. He has won the 2018-2021 NDSEG Scholarship, the 2022 FOCS Best Paper Award, the 2022 ITCS Best Student Paper Award, and the 2021 STOC Best Student Paper Award. He also won gold medals in the International Mathematical Olympiad in 2014 and 2015.

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

5 Mobile Computing Binbin Xie, University of Massachusetts Amherst

Binbin Xie, Ph.D. in the School of Information and computer Science at the University of Massachusetts Amherst, studied under Xiong Jie and was supervised by Professor Deepak Ganesan of the Department of computer Science. Her current research work focuses on LoRa sensing.

Personal homepage: https://people.cs.umass.edu/~binbinxie/

6 Human-computer interaction Tiffany Li, University of Illinois Urbana-Champaign

Tiffany (Wenting) Li, Ph.D. in UIUC computer Science Department, received a bachelor's degree from Cornell University in 2016 after studying in Guangzhou Zhixin Middle School. She has a background in economics and mathematics, and her research interests include data-driven, the use of artificial intelligence algorithms to provide quality, fair and accessible education on a large scale.

Personal homepage: https://www.linkedin.com/in/tiffany-wenting-li-a31b1774

Zhongyi Zhou, University of Tokyo

Zhongyi Zhou, Ph.D., Interactive Intelligent Systems Laboratory (IIS-Lab), University of Tokyo, whose mentor is Koji Yatani. Zhongyi Zhou graduated from Shanghai Jiaotong University and received his master's degree in the same laboratory from the University of Tokyo in 2010. His research areas include human-computer interaction, computer vision and machine learning.

Personal homepage: https://zhongyizhou.net/

7 healthy Xin Liu, University of Washington

Xin Liu, Ph.D., Paul G. Allen School of computer Science and Engineering, University of Washington, studied under Shwetak Patel;Shwetak Patel, an American computer scientist and entrepreneur who was known for developing new sensing solutions and pervasive computing. In 2018, Xin Liu graduated from the University of Massachusetts Amherst with an undergraduate degree under the guidance of Sunghoon Ivan Lee. His main research direction is the combination of machine learning, sensing and health. Currently, he is a part-time student researcher in the Google Health department, studying mobile health technology.

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

Qian Niu, Kyoto University

Qian Niu, M.D., Kyoto University, graduated from Capital Medical University in 2017. her main research fields include medical NLP, health informatics, information epidemiology and so on.

Personal homepage: https://jp.linkedin.com/in/qian-niu-9b45661a1?trk=people-guest_people_search-card

8 system and network Xing Jiarong, Rice University

Xing Jiarong, Ph.D., Department of computer Science, Rice University, studied under Chen Ang. He graduated from the Software School of Shandong University in 2017. His research direction is systems and networks. he is committed to building secure and reliable network systems using programmable hardware and designing defense strategies for network covert channel (NetWarden) and link flooding DDoS attacks (Ripple). Previously, he won the Dr. Meta Research Scholarship in 2022.

Personal homepage: https://jxing.me/

Yang Zhou, Harvard University

Yang Zhou, Ph.D. from Harvard University, studied under Minlan Yu and James Mickens. He received a master's degree in computer science from Harvard University in 2021 and a bachelor's degree in computer science from Peking University in 2018. His research direction is network systems, especially remote memory, intelligent NIC security and network telemetry.

Personal homepage: https://yangzhou1997.github.io/

Reference link:

Https://research.google/outreach/phd-fellowship/recipients/?category=2022

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