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Keyu Chen Email & Phone Number

Software Engineer at Snap Inc.
Location: San Francisco Bay Area, United States 3 work roles 3 schools
1 work email found @cas.usf.edu LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email k****@cas.usf.edu
LinkedIn Profile matched
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Current company
Role
Software Engineer
Location
San Francisco Bay Area, United States

Who is Keyu Chen? Overview

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Quick answer

Keyu Chen is listed as Software Engineer at Snap Inc., based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at cas.usf.edu and a matched LinkedIn profile for Keyu Chen.

Keyu Chen previously worked as Research Assistant at University Of South Florida and Research Engineer at Yahoo. Keyu Chen holds Ph.D. Candidate, Machine Learning, Deep Learning, Computer Vision from University Of South Florida.

Company email context

Email format at Snap Inc.

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{first_initial}{last}@cas.usf.edu
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AeroLeads found 1 current-domain work email signal for Keyu Chen. Compare company email patterns before reaching out.

Profile bio

About Keyu Chen

6+ years of developing state-of-the-art Computer Vision (CV) and Natural Language Processing (NLP) experience.

Listed skills include Neural Networks, Scikit Learn, Mongodb, Tensorflow, and 16 others.

Current workplace

Keyu Chen's current company

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Snap Inc.
Snap Inc.
Software Engineer
AeroLeads page
3 roles

Keyu Chen work experience

A career timeline built from the work history available for this profile.

Software Engineer

Current

Santa Monica, California, Us

Sep 2024 - Present

Research Assistant

Tampa, Florida, Us

Domain Adaptation in Neural Machine Translation- Proposed an end-to-end algorithm for low-resource domain adaptation in Neural Machine Translation (NMT), Epi-NMT.Split AI Architechture (SAIA)- Introduced a Mobile/Web Framework, Split AI Architecture (SAIA) for medical diagnosis on mobile devices (e.g., Android smartphones), which dynamically determines if an image captured by the mobile device should be diagnosed by the mobile side or sent to the server side for more powerful AI solutions.Cost-Sensitive Active Fusion (CS-AF)- Proposed a SOTA active fusion algorithm for medical diagnosing, which identifies the capability of each CNN classifier during the training phase and dynamically assigns the weight of each classifier during the testing phase.Class Imbalanced Image Classification- Proposed a two-stage training framework for imbalanced image classification, which regularizes the image representation by supervised contrastive learning.Domain Generalization for Image Recognition- Proposed an end-to-end algorithm DADG, which leverages GAN (Generative Adversarial Network) and improves the image recognition accuracy when classifying the images in unseen genres and environments (e.g., photo dog and cartoon dog).

Aug 2017 - Sep 2024

Research Engineer

Sunnyvale, Ca, Us

Work at Ads Targeting & Identity team. Build ML/DL model to identify more relevant ads.

May 2023 - Aug 2023
3 education records

Keyu Chen education

Ph.D. Candidate, Machine Learning, Deep Learning, Computer Vision

University Of South Florida

Master'S Degree, Electrical Engineering

University Of South Florida

Bachelor'S Degree, Electrical And Electronics Engineering

Shenzhen University
FAQ

Frequently asked questions about Keyu Chen

Quick answers generated from the profile data available on this page.

What company does Keyu Chen work for?

Keyu Chen works for Snap Inc..

What is Keyu Chen's role at Snap Inc.?

Keyu Chen is listed as Software Engineer at Snap Inc..

What is Keyu Chen's email address?

AeroLeads has found 1 work email signal at @cas.usf.edu for Keyu Chen at Snap Inc..

Where is Keyu Chen based?

Keyu Chen is based in San Francisco Bay Area, United States while working with Snap Inc..

What companies has Keyu Chen worked for?

Keyu Chen has worked for Snap Inc., University Of South Florida, and Yahoo.

How can I contact Keyu Chen?

You can use AeroLeads to view verified contact signals for Keyu Chen at Snap Inc., including work email, phone, and LinkedIn data when available.

What schools did Keyu Chen attend?

Keyu Chen holds Ph.D. Candidate, Machine Learning, Deep Learning, Computer Vision from University Of South Florida.

What skills is Keyu Chen known for?

Keyu Chen is listed with skills including Neural Networks, Scikit Learn, Mongodb, Tensorflow, Neural Machine Translation, Deep Learning, Hadoop, and Natural Language Processing.

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