Andrew Ng

Andrew Ng

Stanford University

H-index: 144

North America-United States

About Andrew Ng

Andrew Ng, With an exceptional h-index of 144 and a recent h-index of 106 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Machine Learning, Deep Learning, AI.

His recent articles reflect a diverse array of research interests and contributions to the field:

CloudTracks: A Dataset for Localizing Ship Tracks in Satellite Images of Clouds

AI-optimized harvester configured to maximize yield and minimize impurities

Automatic deforestation driver attribution using deep learning on satellite imagery

Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image Segmentation

Unlocking Robust Segmentation Across All Age Groups via Continual Learning

Dataperf: Benchmarks for data-centric ai development

Evaluating progress in automatic chest x-ray radiology report generation

An Empirical Study of Automated Mislabel Detection in Real World Vision Datasets

Andrew Ng Information

University

Position

___

Citations(all)

246642

Citations(since 2020)

125393

Cited By

174933

hIndex(all)

144

hIndex(since 2020)

106

i10Index(all)

341

i10Index(since 2020)

299

Email

University Profile Page

Stanford University

Google Scholar

View Google Scholar Profile

Andrew Ng Skills & Research Interests

Machine Learning

Deep Learning

AI

Top articles of Andrew Ng

Title

Journal

Author(s)

Publication Date

CloudTracks: A Dataset for Localizing Ship Tracks in Satellite Images of Clouds

arXiv preprint arXiv:2401.14486

Muhammad Ahmed Chaudhry

Lyna Kim

Jeremy Irvin

Yuzu Ido

Sonia Chu

...

2024/1/25

AI-optimized harvester configured to maximize yield and minimize impurities

2024/1/9

Automatic deforestation driver attribution using deep learning on satellite imagery

Global Environmental Change

Neel Ramachandran

Jeremy Irvin

Hao Sheng

Sonja Johnson-Yu

Kyle Story

...

2024/5/1

Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image Segmentation

Tanvi Deshpande

Eva Prakash

Elsie Gyang Ross

Curtis Langlotz

Andrew Y Ng

...

2024/2/13

Unlocking Robust Segmentation Across All Age Groups via Continual Learning

arXiv preprint arXiv:2404.13185

Chih-Ying Liu

Jeya Maria Jose Valanarasu

Camila Gonzalez

Curtis Langlotz

Andrew Ng

...

2024/4/19

Dataperf: Benchmarks for data-centric ai development

Advances in Neural Information Processing Systems

Mark Mazumder

Colby Banbury

Xiaozhe Yao

Bojan Karlaš

William Gaviria Rojas

...

2024/2/13

Evaluating progress in automatic chest x-ray radiology report generation

Patterns

Feiyang Yu

Mark Endo

Rayan Krishnan

Ian Pan

Andy Tsai

...

2023/9/8

An Empirical Study of Automated Mislabel Detection in Real World Vision Datasets

arXiv preprint arXiv:2312.02200

Maya Srikanth

Jeremy Irvin

Brian Wesley Hill

Felipe Godoy

Ishan Sabane

...

2023/12/2

Deep learning models for speech recognition

2023/1/24

Real-time neural text-to-speech

2023/7/18

A System for Automated Vehicle Damage Localization and Severity Estimation Using Deep Learning

IEEE Transactions on Intelligent Transportation Systems

Yuntao Ma

Hiva Ghanbari

Tianyuan Huang

Jeremy Irvin

Oliver Brady

...

2023/12/1

Probabilistic Prediction of Laboratory Test Information Yield

AMIA Annual Symposium Proceedings

Yixing Jiang

Andrew H Lee

Xiaoyuan Ni

Conor K Corbin

Jeremy A Irvin

...

2023

How to Train Your CheXDragon: Training Chest X-Ray Models for Transfer to Novel Tasks and Healthcare Systems

arXiv preprint arXiv:2305.08017

Cara Van Uden

Jeremy Irvin

Mars Huang

Nathan Dean

Jason Carr

...

2023/5/13

Weakly-semi-supervised object detection in remotely sensed imagery

arXiv preprint arXiv:2311.17449

Ji Hun Wang

Jeremy Irvin

Beri Kohen Behar

Ha Tran

Raghav Samavedam

...

2023/11/29

Probabilistic latent semantic analysis

Hang Li

2023/12/6

Big AI can centralize decision-making and power, and that’sa problem

Missing links in ai governance

Erik Brynjolfsson

Andrew Ng

2023

Guided workflow for deep learning error analysis

2023/5/4

Systems and methods for radiology image classification from noisy images

2023/10/24

LymphoML: An interpretable artificial intelligence-based method identifies morphologic features that correlate with lymphoma subtype

Vivek Shankar

Xiaoli Yang

Vrishab Krishna

Brent Tan

Oscar Silva

...

2023/12/4

VetLLM: Large Language Model for Predicting Diagnosis from Veterinary Notes

Yixing Jiang

Jeremy A Irvin

Andrew Y Ng

James Zou

2023

See List of Professors in Andrew Ng University(Stanford University)