


Meta has just announced the list of 2023 PhD Fellowships.
Meta PhD Fellowships are designed to reward cutting-edge research by doctoral candidates in disciplines such as computer science, engineering, and behavioral sciences. The winner will receive full tuition and fees for two academic years and a $42,000 stipend.
In addition to generous prizes, winners will also have many opportunities to interact with Meta researchers to further understand industry research and make their own research more in-depth.
Meta Doctoral Fellowships are in their 12th year and have supported more than 200 doctoral students around the world. This year, the organizing committee received more than 3,200 applications from more than 100 universities around the world and selected 21 winners from 12 universities, more than 1/3 of whom were Chinese doctoral students.
The following is the list of Chinese doctoral students who won this award:
Artificial Intelligence System Software and Hardware Collaborative Design
Mark Zhao (Stanford University)
Mark Zhao graduated from Cornell University with a bachelor's degree and is now a doctoral candidate in electrical engineering at Stanford University. His supervisor is Christos Kozyrakis. His research interests are in the co-design of computer systems and architectures to improve scalability and efficiency of data center scale applications such as machine learning. He is currently working on data storage and ingestion systems to manage training data in industrial-scale machine learning pipelines.
Applied Statistics
Victoria Lin (Carnegie Mellon University)
Victoria Lin graduated from Harvard University and is now a doctoral student in the Department of Statistics and Machine Learning at Carnegie Mellon University, conducting research under the guidance of Louis-Philippe Morency and Edward Kennedy. Her research focuses on developing causal inference methods to enable principle-based and transparent machine learning in modern data environments. She is also interested in using machine learning methods to better facilitate the estimation of complex causal effects and counterfactuals.
AR/VR Computer Graphics
Yiling Qiao (University of Maryland, College Park)
Yiling Qiao graduated from the University of Chinese Academy of Sciences with a bachelor's degree and is now a fourth-year doctoral student at the University of Maryland, College Park, supervised by Professor Ming Lin. His research interests focus on physics-based simulations. He has been researching differentiable simulation and its applications in virtual reality/augmented reality, graphics, robotics, etc. Before that, he received a bachelor's degree in computer science and a bachelor's degree in mathematics from the University of Chinese Academy of Sciences and conducted some shape analysis research. While pursuing his PhD, he interned at Intel Labs, Meta Reality Labs, and NVIDIA.
AR/VR Human Understanding
Jinkun Cao (Carnegie Mellon University)
Jinkun Cao graduated from Shanghai Jiao Tong University and is now a third-year PhD student in robotics at Carnegie Mellon University. His research focuses on the analysis, modeling, and synthesis of human motion in videos. Applications range from object tracking to human character motion synthesis.
AR/VR Human-Computer Interaction
Yue Jiang (Aalto University)
Yue Jiang graduated from the University of Toronto in Canada with a bachelor's degree and a master's degree from the University of Maryland, College Park in the United States. He is currently studying for a PhD under the guidance of Professors Antti Oulasvirta and Vikas Garg at Aalto University in Finland and the Finnish Artificial Intelligence Center. Her research focuses on applying computational methods to adaptive user interfaces. She also worked closely with Professor Wolfgang Stuerzlinger from Simon Fraser University in Canada and Professor Christof Lutteroth from the University of Bath in the UK to conduct a series of research on the OR-Constraint (ORC) adaptive GUI layout project.
Wireless AR/VR
Shuaifeng Jiang (Arizona State University)
Shuaifeng Jiang is a doctoral student in the Wireless Intelligence Laboratory of Arizona State University. His current research interests focus on wireless communications and sensing, millimeter wave and massive MIMO systems, and machine learning. He graduated from Southeast University with a bachelor's degree and a master's degree from Tokyo Institute of Technology.
AR Audio
Dawei Liang (University of Texas at Austin)
Dawei Liang is a doctoral student in electrical and computer engineering at the University of Texas at Austin, focusing on the intersection of wearable computing, audio recognition and human-centered AI. His research aims to enable smart wearable devices such as smartwatches to better sense and assist people in the real world. Given the widespread success of embedded motion sensors in automated human understanding, he explores the potential of converting microphones on wearable devices into robust user behavior sensors. He received the ACM ISWC 2022 Best Paper Honorable Mention Award.
Security and Privacy
Xuechen Li (Stanford University)
Xuechen Li is a PhD student in computer science at Stanford University, dedicated to developing methods to ensure that machine learning and AI pipelines are trustworthy and secure. Currently focusing on privacy-preserving machine learning and secure computing for improving machine learning systems. He holds an undergraduate degree from the University of Toronto and frequently serves as a reviewer for machine learning conferences, winning the Outstanding Reviewer Award at ICML 2022.
The above is the detailed content of The list of 2023 Meta PhD scholarships is released: more than 1/3 are Chinese scholars. For more information, please follow other related articles on the PHP Chinese website!

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