A total of 37 doctoral students were selected, and about 40% of Chinese students were selected.
Author | Sisi
Edit | Chen Caixian
Emmm... First of all, it is an "old" anecdote.
On February 3 (Spring Festival), the renamed Facebook announced the 2022 Doctoral Scholarship, selecting 37 outstanding doctoral students from 24 schools and awarding $42,000 each to support their scientific progress.
After thinking about it, I decided that I still had to repay (dog head protector).
According to statistics, among the doctoral students selected this year, there are 15 Chinese students. Some of them studied in undergraduate studies that had nothing to do with computers, some won the Best Paper Award, and some studied art history as an undergraduate and later switched to computers. In addition, 4 people are Tsinghua alumni.
Since its inception in 2011, the Meta PhD Research Fellowship program has allegedly funded more than 179 computer PhD students. Many of the selected doctoral students later became well-known young scholars in the field of AI, such as Zhu Haiyi, Zhu Junyan, Song Shuran, Li Jiwei, Chen Danqi and so on.
It can be seen that the selection of the "Meta Doctoral Scholarship" is still very valuable.
What is more noteworthy is that among the doctoral students selected by Meta this year, in addition to the "pure science and engineering" students of computer science, there are also media majors who seem to be unable to fight with AI! Compared with previous years, it is really abrupt. In addition to the strong color of "liberal arts", the winners of human-computer interaction and AR/VR also accounted for the majority of the award-winning students.
In addition to the black question mark, the author thought of meta's "metaverse" layout in a blink of an eye, I wonder if there is any relationship between the two?
So, where are the Chinese students who will receive the Meta Doctoral Scholarship in 2022? Let's take a look:
Lu Yucheng
Award-winning field: Collaborative design of software and hardware for artificial intelligence systems
He graduated from the Department of Electronic Engineering of Shanghai Jiao Tong University and is currently pursuing a Ph.D. in the Department of Computer Science at Cornell University under the tutelage of Professor Christopher De Sa, focusing on the construction of scalable and provable machine learning systems, including communication compression, model compression, and decentralization. His research on decentralized learning, DeTAG, was nominated for the ICML 2021 Distinguished Paper Award. In addition, he has worked as a research intern at Microsoft, Google and Amazon.
Personal homepage: https://www.cs.cornell.edu/~yucheng/
Luo Qinyi
She graduated from Tsinghua University with a bachelor's degree in electrical engineering and is now a Ph.D. student in the Department of Computer Science at the University of Southern California, under the tutelage of Professor Qian Xuehai. Her research interests focus on understanding and creating intelligence, and currently focuses on developing distributed systems that can improve the speed and efficiency of machine learning training, especially the development of new parallelization and synchronization methods.
Personal homepage: http://alchem.usc.edu/~qinyi/
Lianmin Zheng
He graduated from Shanghai Jiao Tong University's ACM class and is currently a PhD student in the EECS Department at the University of California, Berkeley, under the tutelage of Professors Ion Stoica and Joseph E. Gonzalez. His research interests focus on the intersection of machine learning and programming systems, particularly compilers for accelerating and scaling deep learning, having interned at Amazon Web Services, OctoML, and the University of Washington, where he has collaborated with the likes of Tianqi Chen, Luis Ceze, and Yida Wang.
Personal homepage: http://lmzheng.net
Lucy Chai
Winning field: Human understanding of AR/VR
He studied machine learning at Churchill College, Cambridge, and is now a PhD student in the EECS Department at the University of Massachusetts, under the tutelage of 2022 new Sloan Award winner Phillip Isola, part of the MIT CSAIL Laboratory. Her grades are outstanding, having previously received the NSF Doctoral Research Award and the Adobe Research Award. Lucy Chai's research focuses on image synthesis, particularly generating enhanced image forms for interactive image editing and downstream visual analysis tasks.
Personal homepage: https://people.csail.mit.edu/lrchai/
Boyang Deng
He is currently a research scientist in the research department of Waymo, a well-known self-driving company, and is about to pursue a Ph.D. in the Department of Computer Science at Stanford University. Previously, he worked for Google Brain in Toronto, Canada. His research interests are mainly in using machine learning to solve problems at the intersection of computer vision and computer graphics, and his current research focuses on inferring, editing, and rendering the shapes, materials, and illumination of neural representations based on physical light transmission and stochastic gradient descent.
Personal homepage: https://boyangdeng.com
Yufeng Zheng
She graduated from Tsinghua University with a bachelor's degree in electrical engineering and then studied for a master's degree at ETH Zurich, and is currently a first-year PhD student jointly trained by ETH Zurich and the Max Planck Institute for Intelligent Systems, under the tutelage of Professors Otmar Hilliges and Michael Black. She focuses on the field of human-centered computer vision and graphics, with a focus on learning-based 3D modeling of faces and bodies.
Personal homepage: https://ait.ethz.ch/people/zhengyuf/
Serina Chang
Award-winning field: Computational Social Sciences
She holds a double degree in Computer Science and Sociology from Columbia University and is currently pursuing her Ph.D. at Stanford University under the tutelage of Jure Leskovec and Johan Ugander. Her research interests are in developing computational methods that simulate complex social systems, combining techniques for network science, data science, and machine learning. Previously, her work on modeling the spread of COVID-19 using large-scale human mobile data, Supporting COVID-19 policy response with large-scale mobility-based modeling, was published in Nature, KDD, and IAAI, and won the KDD 2021 Best Paper Award, making a huge impact. Previously, she was also awarded an NSF PhD Fellowship.
Personal homepage: https://serinachang5.github.io/
Audrey Cheng
Award-winning field: Database systems
She holds a bachelor's degree in operations research and financial engineering from Princeton University and is currently pursuing her Ph.D. in computer science at UC Berkeley under the tutelage of Ion Stoica and Natacha Crooks, affiliated with RISELab. Her research focuses on transaction processing in database systems, with a particular focus on the challenges of providing stronger security and correctness assurance at large scales.
Personal homepage: https://audreyccheng.github.io/
Wu Renzhi
He graduated from Tsinghua University with an undergraduate and master's degree in Energy and Power Engineering and Economics (minor) and a master's degree in thermophysics, and is now pursuing a Ph.D. in computer science at the Georgia Institute of Technology under the tutelage of Professor Xu Chu. True multi-disciplinary god. His research focuses on using machine learning to solve challenging data management problems such as entity matching, cardinality estimation, and truth inference.
Personal homepage: https://wurenzhi.github.io/
Liu Jing
Award-winning area: Distributed systems
She graduated from Nanjing University in 2016 and is currently pursuing her Ph.D. in Computer Science at the University of Wisconsin-Madison under the tutelage of Professor Andrea Arpaci-Dusseau and Professor Remzi Arpaci-Dusseau. Her research interests are in storage systems, with a focus on scale and performance, in addition to the schedulability and reliability of distributed storage systems.
Personal homepage: https://jingliu.xyz/
Alexander Wei
Award-winning field: Economics and Computing
He holds a double degree in Computer Science and Mathematics from Harvard University and a master's degree from Harvard university, and is currently a Ph.D. student in the Department of Computer Science at the University of California, Berkeley, where he studied under Nika Hagtalab, Michael I. Jordan and Jacob Steinhardt et al. His research interests focus on the intersection of algorithms, economics, and machine learning, particularly for developing the principles of learning, decision-making, and collaboration in complex environments. His research has won the SODA 2019 Best Student Paper Award.
Personal homepage: https://www.alexwei.org/
Pengfei Zhao
Award-winning area: Human-computer interaction (social media, people and society)
She graduated from communication university of China with a bachelor's degree and a master's degree in advertising, then studied for a master's degree in communication at the University of Arizona, and is now pursuing a Ph.D. in communication at Cornell University, where she studied under Natalie Bazarova. Her direction focuses on the intersection of new communication technologies, interpersonal communication, and well-being, specifically how new communication technologies (such as smartphones and social media) affect self-expression, social support, relationship initiation and development, and happiness and mental health.
Personal homepage: https://cals.cornell.edu/pengfei-zhao
Cai Qizhe
Award-winning field: Networking
He received his bachelor's degree in computer science from the University of Michigan, his master's degree in computer science from Princeton University, and is currently pursuing his Ph.D. in computer science at Cornell University under the tutelage of Rachit Agarwal. His research involves a wide range of systems and networks, especially building network systems and protocols for Terabit Ethernet.
Personal homepage: https://www.cs.cornell.edu/~qizhec/
Kaiwen Sun
Award-winning area: Privacy and Data Use
She holds a bachelor's degree in marketing from the University of Minnesota and a master's degree in human-computer interaction from the University of Michigan, and is currently pursuing her Ph.D. from the University of Michigan's School of Informatics under florian Schaub and Chris Brooks. She focuses on the intersection of children's privacy and safety, smart home technology, and human-computer interaction, primarily through the design and development of child-centered features and controls to understand and support children's privacy and safety needs in the context of smart home technology.
Profile: https://www.si.umich.edu/people/kaiwen-sun
Chen Ling
Award Area: Security & Privacy
She graduated from Tsinghua University with a bachelor's degree in art history in 2015, a master's degree in computer science from the University of Illinois at Urbana-Champaign (UIUC) in 2019, and is currently pursuing her Ph.D. in computer engineering at Boston University under the tutelage of Professor Gianluca Stringini. Her research interests lie in the security, privacy, and computational social sciences, focusing on a better understanding of cyber-coordinated attack behavior through multimodal, multi-platform, and hybrid approaches, and developing better resolution techniques.
Personal homepage: https://ciciling.com/
Reference Links:
https://research.facebook.com/blog/2022/2/announcing-the-recipients-of-the-2022-meta-phd-research-fellowship/
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