Quoc V Le

This inventor holds 129 USPTO granted patents and 57 published patent applications, plus 1 CIPO patent and 20 EPO patents, primarily in Neural Architecture Search (CPC class G06N3-08). Top assignees: Google Inc., Tangome, Inc.. Active years: 2015-2026.

USPTO Granted Patents = 129 (Patent Applications = 57)

% Patents Active = 99.2

CIPO Patents = 1 (Patent Applications = 3)

EPO Patents = 20 (Patent Applications = 44)

Average Co-Inventor Count = 3.8

ph-index = 9

Forward Citations = 334(Granted Patents)

Forward Citations (Not Self Cited) = 248(Dec 10, 2025)

Inventors with similar research interests:

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Location History:

San Jose, CA (US) (2015)
Stanford, CA (US) (2016)
Mountain View, CA (US) (2017 - 2024)
Sunnyvale, CA (US) (2018 - 2024)

Company Filing History:

Years Active: 2015-2026

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Areas of Expertise:

Neural Architecture Search

Machine Learning Optimization

Training Robust Neural Networks

Data Augmentation

Heterogeneous ML Accelerator

Reinforcement Learning

Document Classification

Contrastive Learning

Convolutional Neural Networks

Symbolic Programming

Progressive Learning

129 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12737689 - Scale-permuted machine learning architecture (2026-09-15),

2. 12737648 - Image analysis by prompting of machine-learned models using chain of thought (2026-09-15),

3. 12705489 - Attention-based neural networks with branching blocks (2026-08-11),

4. 12682159 - Instruction following in large language models to reduce computational resource consumption (2026-07-14),

5. 12670356 - Generating representations of input sequences using neural networks (2026-06-30),

6. 12645912 - Systems and methods for producing an architecture of a pyramid layer (2026-06-02),

7. 12645910 - Neural architecture scaling for hardware accelerators (2026-06-02),

8. 12638954 - Assisting user(s) in interactions with large language model(s) (2026-05-26),

9. 12596925 - Single-stage model training for neural architecture search (2026-04-07),

10. 12596909 - OneShot neural architecture and hardware architecture search (2026-04-07),

11. 12579150 - Hybrid and hierarchical multi-trial and OneShot neural architecture search on datacenter machine learning accelerators (2026-03-17),

12. 12561557 - Meta pseudo-labels (2026-02-24),

13. 12530876 - Systems and methods for progressive learning for machine-learned models to optimize training speed (2026-01-20),

14. 12511545 - Training robust neural networks via smooth activation functions (2025-12-30),

15. 12511542 - Compound model scaling for neural networks (2025-12-30),

Title: Quoc V Le: Pioneering Innovations in Technology and AI

Introduction:

Quoc V Le, a renowned inventor based in Stanford, CA, is making waves in the world of technology and artificial intelligence (AI). With a passion for pushing the boundaries of innovation, he has solidified his position as a visionary inventor, inspiring the next generation of innovators. Let's delve into his remarkable journey.

Latest Patents:

Quoc V Le's latest patents showcase his expertise and groundbreaking work in the field. One of his notable inventions is the "System and Method for Predicting and Summarizing Medical Events from Electronic Health Records." This system leverages deep learning models to predict future clinical events and summarize past medical events from electronic health records, revolutionizing healthcare analytics.

Another groundbreaking patent is the "Neural Architecture Search with Factorized Hierarchical Search Space." This automated approach for designing neural network architectures, especially resource-constrained mobile CNN models, enhances efficiency and performance, showcasing Quoc V Le's innovative mindset.

Career Highlights:

Currently working at Google Inc., Quoc V Le has established himself as a key figure in driving technological advancements within the company. With a portfolio of 82 patents under his name, he continues to shape the future of AI and machine learning.

Collaborations:

Throughout his career, Quoc V Le has collaborated with industry experts and innovators, including notable coworkers such as Jeffrey Dean and Barret Zoph. These collaborations have led to cutting-edge research and developments in the field, further cementing his reputation as a leader in technological innovation.

Conclusion:

In conclusion, Quoc V Le's relentless dedication to innovation and his groundbreaking inventions in technology and AI exemplify his visionary passion for pushing the boundaries of what is possible. His work serves as an inspiration for the next generation of inventors and underscores the importance of continuous advancement in the field of artificial intelligence.