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Research

Defining the technology of today and tomorrow.

Philosophy

We strive to create an environment conducive to many different types of research across many different time scales and levels of risk.
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Philosophy

People

Our researchers drive advancements in computer science through both fundamental and applied research.
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People
Research areas

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Explore all research areas

Foundational ML & Algorithms

Algorithms & Theory

Data Management

Data Mining & Modeling

Information Retrieval & the Web

Machine Intelligence

Machine Perception

Machine Translation

Natural Language Processing

Speech Processing

Algorithms & Theory

Data Management

Data Mining & Modeling

Information Retrieval & the Web

Machine Intelligence

Machine Perception

Machine Translation

Natural Language Processing

Speech Processing

Computing Systems & Quantum AI

Distributed Systems & Parallel Computing

Hardware & Architecture

Mobile Systems

Networking

Quantum Computing

Robotics

Security, Privacy, & Abuse Prevention

Software Engineering

Software Systems

Distributed Systems & Parallel Computing

Hardware & Architecture

Mobile Systems

Networking

Quantum Computing

Robotics

Security, Privacy, & Abuse Prevention

Software Engineering

Software Systems

Science, AI & Society

Climate & Sustainability

Economics & Electronic Commerce

Education Innovation

General Science

Health & Bioscience

Human-Computer Interaction and Visualization

Climate & Sustainability

Economics & Electronic Commerce

Education Innovation

General Science

Health & Bioscience

Human-Computer Interaction and Visualization
Projects

We regularly open-source projects with the broader research community and apply our developments to Google products.
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Projects

Publications

Publishing our work allows us to share ideas and work collaboratively to advance the field of computer science.
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Publications

Resources

We make products, tools, and datasets available to everyone with the goal of building a more collaborative ecosystem.
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Resources
Shaping the future, together.
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Student programs

Supporting the next generation of researchers through a wide range of programming.
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Student programs

Faculty programs

Participating in the academic research community through meaningful engagement with university faculty.
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Faculty programs

Conferences & events

Connecting with the broader research community through events is essential for creating progress in every aspect of our work.
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Conferences & events

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Careers
Blog

Qin Cao

Research Areas

Machine Intelligence

Authored Publications

Google

Recognizing Multimodal Entailment (tutorial at ACL 2021)

Afsaneh Hajiamin Shirazi

Arjun Gopalan

Arsha Nagrani

Blaž Bratanič

Cesar Ilharco Magalhaes

Christina Liu

Felipe Ferreira (Goldstein)‎

Gabriel Fedrigo Barcik

Georg Fritz Osang

Jared Frank

Lucas Smaira

Qin Cao

Ricardo Abasolo Marino

Roma Patel

Thomas Leung

Vaiva Imbrasaite

(2021) (to appear)

How Does Noise Help Robustness? Explanation and Exploration under the Neural SDE Framework

Cho-Jui Hsieh

Qin Cao

Sanjiv Kumar

Si Si

Tesi Xiao

Xuanqing Liu

Conference on Computer Vision and Pattern Recognition (CVPR) (2020)

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Defining the technology of today and tomorrow.

Philosophy

People

Research areas

Foundational ML & Algorithms

Computing Systems & Quantum AI

Science, AI & Society

Projects

Publications

Resources

Shaping the future, together.

Student programs

Faculty programs

Conferences & events

Qin Cao

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