The list of 2023 Apple Scholars was announced, and 11 Chinese in the field of AI: Tsinghua University's You Kaichao and others were selected

Another major technology company has launched this year’s AI scholarship program. On Thursday, Apple Machine Learning Research officially announced the list of "Apple Scholars" who will receive doctoral scholarships in the fields of AI (artificial intelligence) and ML (machine learning) in 2023.

The Apple Scholars in AI ML PhD Scholarship recognizes the contributions of computer science and engineering researchers at the graduate to postdoctoral level. Each scholar will receive funding, internship opportunities and mentoring with Apple researchers in their field while pursuing their PhD. Apple Scholars in AI and Machine Learning are selected based on each candidate’s record of innovative research, leadership and collaboration, and commitment to advancing their respective fields.

A total of 22 young scholars have received funding from the Apple Scholars Program this year, half of whom are Chinese scholars.

The following are the Chinese scholars who received scholarships this year:

Yutong Bai

##Yutong Bai is a doctoral student in computer science at Johns Hopkins University, mentored by Bloomberg Distinguished Professor Alan Yuille. Yutong Bai's main research area is computer vision. As AI systems become more widely used, concerns about their potential risks are growing. To build a more secure system, one must combine a deeper understanding of reality with common sense knowledge. Yutong Bai's research aims to build artificial intelligence systems with less supervision and strong robustness, which is expected to make artificial intelligence closer to human intelligence. Based on this goal, Yutong Bai explores representation learning, self-supervised learning, and scalable multi-modal learning. Her work was also shortlisted for the CVPR 2022 Best Paper Award.

Jiang Yifan

##Yifan Jiang ) is a doctoral student at the University of Texas at Austin, and his supervisor is Professor Atlas Wang. His research interests include generative models, neural rendering, and computational photography. In particular, he aims to build machine intelligence that connects generative models and neural rendering techniques to enable powerful applications in 2D and 3D scenes, including image editing/processing, new view synthesis, and 3D creation.

Xisen Jin

Xisen Jin is a PhD student at the University of Southern California . Its research area is to enable language models to continuously learn from never-ending streams of text data. His research reduces the cost of updating models, making it easier to build personalized models and keep the knowledge in the models up to date.

Yong Lin

##Yong Lin Currently He is a doctoral student at the Hong Kong University of Science and Technology, and his supervisor is Zhang Tong. His research areas are at the intersection of causality, machine learning algorithms, and theory. Specifically, his goal is to build stable models that generalize to unseen test distributions.

Jessy Lin

##Jessy Lin is PhD student at the Berkeley Artificial Intelligence Institute, mentored by Dan Klein and Anca Dragan. Her research focuses on building artificial intelligence agents that use language to collaborate with humans and learn from human feedback.

Jingping Nie

Jingping Nie is a fourth-year doctoral student in electrical engineering at Columbia University, supervised by Professors Jiang Xiaofan and Matthias Preindl. Her research focuses on software and hardware co-design of future human-centered intelligence and privacy-aware wearable devices in AIoT systems.

Yifu Qiu

##Yifu Qiu is an ELLIS PhD student at the University of Edinburgh and the University of Cambridge, supervised by Dr. Shay Cohen, Professor Anna Korhonen and Dr. Edoardo M. Ponti. His research focuses on language generation in multilingual contexts, including improving the fundamental capabilities of models in generalization, small-number learning, and controllability.

Zijie Jay Wang

##Jay Wang is a doctoral student at the Georgia Institute of Technology under the supervision of Polo Chau. His unique blend of expertise in artificial intelligence and information visualization enables him to harness the potential of artificial intelligence for the benefit of everyone. Jay Wang’s research focuses on making artificial intelligence accountable, explainable, and accessible by developing new interactive interfaces that allow people to easily interact with large-scale artificial intelligence systems.

Yi Wei

##Yi Wei is PhD candidate at Tsinghua University, mentored by Professor Lu Jiwen. His research interests are in 3D vision, specifically focusing on 3D reconstruction and 3D scene understanding. His work combines traditional geometry with deep learning to help artificial intelligence systems better understand the 3D real world.

You Kaichao

##You Kaichao is from Tsinghua University A third-year doctoral student in the School of Software, studying under Professor Long Mingsheng. His research focuses on transfer learning in machine learning, specifically adapting various forms of knowledge from one source to another in deep learning. His goal is to develop machine learning algorithms in an open and dynamic environment. His recent work includes domain adaptation, model adaptation, and model-hub adaptation. You Kaichao won the 2019 Tsinghua University Special Scholarship (undergraduate).

Jiaqi Zhang

##Jiaqi Zhang is PhD student at MIT, mentored by Caroline Uhler. Inspired by biomedical applications, her research aims to develop the statistical and algorithmic foundations of sequential decision-making and the intersection of causality, and more precisely the design of strategies for decision-making in a system created by underlying causal rules.

The following is the complete list of selected scholars:

Award announcement page:

​https://machinelearning.apple.com/updates/apple-scholars-aiml-2023​

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