List of 2023 Google Research Scholars Program announced: Tsinghua Yao Class, Peking University and many other alumni are on the list

The 2023 Google Research Scholar Program winners have been announced. Winners will receive up to $60,000 to support research efforts.

The plan involves a total of 16 fields, including algorithms and optimization; geographical scientific research; health research; mobile devices; network research; privacy; structured data extraction, semantic graphs, and database management ; Software engineering and programming languages; Applied science; Human-computer interaction; Machine learning and data mining; Machine perception; Natural language processing; Quantum computing; Security; Systems.

Link: https://research.google/outreach/research-scholar-program/recipients/

Heart of the Machine has compiled the list of award-winning Chinese scholars as follows (in no particular order):

Li-Yang Tan: Stanford University

Winning Research: Theoretical Foundations of Interpretable Machine Learning

Li-Yang Tan is an assistant professor of computer science at Stanford University , His main research direction is computer science theory, focusing on the study of complexity theory. Li-Yang Tan received his PhD from Columbia University, where he studied under Professor Rocco Servedio.

Yuting Wei: University of Pennsylvania

Award-winning research: Bridging game theory and statistics in multi-agent reinforcement learning Learning and Optimization

##Yuting Wei is currently an Assistant Professor in the Department of Statistics and Data Science at the Wharton School of the University of Pennsylvania. Before joining the University of Pennsylvania, Yuting Wei was an assistant professor in the Department of Statistics and Data Science at Carnegie Mellon University and spent a year as a researcher in the Department of Statistics at Stanford University. Previously, Yuting Wei received his PhD in Statistics from the Department of Statistics at Berkeley, where he studied under Professors Martin Wainwright and Aditya Guntuboyina, and his BA in Science and Literature from Peking University.

Her research interests involve statistics, optimization and machine learning, and she is also interested in the interplay between statistical accuracy and computational properties.

Wenting Zheng: Carnegie Mellon University

Winning Research: Privacy in Natural Language Processing - Preservation Reasoning

Wenting Zheng is an assistant professor in the Department of Computer Science at CMU. His main research directions are system security and applied cryptography. Wenting Zheng has been committed to building secure systems, developing practical cryptographic primitives and protocols, and continuously conducting research on democratizing and accelerating cryptographic design systems.

Previously, Wenting Zheng was a doctoral student in the RISE Laboratory at UC Berkeley, under the supervision of Professors Raluca Ada Popa and Ion Stoica. He received his bachelor's and master's degrees in engineering from MIT.

Dong Xie: Pennsylvania State University

Winning research: Resilient and responsive real-time with newly acquired data analyze

Dong Xie is an Assistant Professor in the Department of Computer Science and Engineering at Pennsylvania State University. He received his PhD in computer science from the University of Utah in 2020 and his bachelor's degree from Shanghai Jiao Tong University (ACM class) in 2015.

His research interests include building data systems that address the challenges of processing and analyzing real-world large-scale data. His research covers multiple areas, including data systems on modern hardware, distributed databases, main-memory databases, stream processing systems, approximate query processing, spatiotemporal data processing, data privacy, and system security.

Tao Yu (Yu Tao): University of Hong Kong

Award-winning research: Using language models to build natural language for data science Language interface

##Tao Yu is an assistant professor of computer science at the University of Hong Kong and co-leads the Hong Kong Nature Language Processing Experiment. Room(HKUNLP). He graduated with a PhD from Yale, visited UW NLP for one year, and received the 2021 Amazon Research Award. His research aims to design and build interactive natural language interfaces (ChatGPT based natural language interfaces to data analytics, web/apps, and robots) based on large language models; involving executable language understanding, interactive semantic parsing and code generation (Interactive Executable Natural Language Grounding).

David Lee: University of California, Santa Cruz

Award-winning research: Group-guided conversational user experience and Conversation Clustering Algorithm

David Lee is an assistant professor at the University of California, Santa Cruz. His main research directions are human-computer interaction, economics and computing.

Atlas Wang: University of Texas at Austin

##Award-winning research: Efficient scaling, adaptive computing: Methods for training and using larger sparse models

Atlas Wang is an Assistant Professor at the University of Texas at Austin, Principal His research interests include machine learning, sparsity, computer vision and optimization. He graduated from the University of Science and Technology of China with a bachelor's degree and a Ph.D. from the University of Illinois at Urbana-Champaign.

Wei Hu (Hu Wei): University of Michigan

Award-winning research: Really measurable high-dimensional data attributes Research on deep learning theory

Hu Wei is an assistant professor in the Department of Computer Science and Engineering at the University of Michigan. His main research interests include modern Theoretical and scientific foundations of machine learning, especially deep learning. Before that, Hu Wei worked as a postdoctoral fellow at the University of California, Berkeley; he completed a PhD in computer science at Princeton University, under the supervision of Professor Sanjeev Arora; he graduated from Tsinghua University as a member of the Yao class.

Nanyun (Violet) Peng: UCLA

Winning Research: Multimodal Open Domain Idea Generation Automatic evaluation indicators

Nanyun (Violet) Peng is an assistant professor in the Department of Computer Science at UCLA. Her research goal is to build robust and universal natural language processing (NLP) tools to reduce communication barriers and make AI intelligent. The body can become a human companion. Previously, she received her PhD in computer science from the Johns Hopkins University Center for Language and Speech Processing.

Robin Jia: University of Southern California

Winning Research: Making Situated Learning More Stable by Understanding the Value of Demonstration

Robin Jia is an Assistant Professor in the Thomas Lord Department of Computer Science at the University of Southern California. Main research interests include natural language processing and machine learning. Previously, he received a PhD in computer science from Stanford University, where his mentor was Percy Liang.

Shenglong Xu: Texas A&M University

Winning Research: Testing Quantum Advantage by Adding Disturbance to Random Circuits

Shenglong Xu is a research assistant professor at Texas A&M University. He received his PhD from the University of California, San Diego and served as a postdoctoral researcher at the University of Maryland. Shenglong Xu's research interests mainly lie in condensed matter physics theory and quantum many-body physics.

Ling Ren: University of Illinois at Urbana-Champaign

Winning research: Practical single-server privacy information Retrieve

Ling Ren is an assistant professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign. He holds a Ph.D. MIT, and served as a postdoctoral researcher at VMware Research Group. Ling Ren's main research interests include applied cryptography, computer security and secure distributed algorithms, focusing on designing algorithms that are both practical and provably secure.

Shuai Wang: Hong Kong University of Science and Technology

Award-winning research: Exploiting and mitigating side channels in AI infrastructure

Shuai Wang is an Assistant Professor in the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology. He graduated from Peking University with a bachelor's degree and a Ph.D. from Pennsylvania State University. He worked as a postdoctoral researcher at the AST Laboratory of ETH Zurich. His research focuses on computer security and privacy, and software engineering.

Xiao Wang: Northwestern University

Award-winning research: Zero-knowledge proof for private and transparent machine learning (Zero -Knowledge Proof)

Xiao Wang is an Assistant Professor in the Department of Computer Science at Northwestern University. His research interests mainly include computer security, privacy and cryptography, aiming to build real-world systems based on advanced cryptography techniques and push the limits of practicality.

Mengjia Yan: MIT

Award-winning research: Exploiting user-accessible hardware signals to effectively detect corruption Execution error

Mengjia Yan is an Assistant Professor in the Department of Electrical Engineering and Computer Science at MIT. Mengjia Yan graduated from Zhejiang University with a bachelor's degree and a Ph.D. from the University of Illinois at Urbana-Champaign (UIUC). Her research interests mainly lie in computer architecture and security, focusing on side-channel attacks and defenses, and is committed to designing comprehensive and effective defense mechanisms.

Yakun Sophia Shao: University of California, Berkeley

Winning Research: Scalable Multiplexing with Heterogeneous Integration Platforms Chip Architecture

##Yakun Sophia Shao is an assistant professor in the Department of Electrical Engineering and Computer Science at the University of California, Berkeley, and formerly worked at NVIDIA Senior Research Scientist at Research. She graduated from Zhejiang University with a bachelor's degree and a master's and doctoral degrees from Harvard University.

Yakun Sophia Shao's main research interests are computer architecture, especially special-purpose accelerators, heterogeneous architectures, and agile VLSI design methodologies. She has won the DAC 2021 Best Paper Award, JSSC 2020 Best Paper Award, MICRO 2019 Best Paper Award, etc. Her doctoral dissertation was also nominated for the ACM Doctoral Dissertation Award.

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