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Liang Gou

This inventor holds 34 USPTO granted patents and 23 published patent applications, primarily in Machine Learning. Top assignees: Robert Bosch, Visa International Service Association, International Business Machines Corporation. Active years: 2017-2026.

USPTO Granted Patents = 34 (Patent Applications = 23)

% Patents Active = 76.5

Average Co-Inventor Count = 4.3

ph-index = 3

Forward Citations = 25(Granted Patents)

Location History:

Foster City, CA (US) (2021)
San Jose, CA (US) (2017 - 2024)

Company Filing History:

Visa International Service Association

patents

9 out of 166,264

International Business Machines Corporation

Visa International Service Application

patent

Years Active: 2017-2026

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Areas of Expertise:

Object Detection

Data Augmentation

Visual Analytics

Semantic Segmentation

Reinforcement Learning

Graph Representation

Multi-Modal Learning

Explainable AI

Autonomous Driving

Relational Database Analysis

Hierarchical Structure Learning

Adversarial Generation

34 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12749288 - Exploiting hierarchical structure learning with hyperbolic distance to enhance open world object detection (2026-09-29),

2. 12711740 - SYSTEM AND METHOD FOR OUT-OF-DISTRIBUTION DETECTION OF VISUAL CONTENT USING GENERAL REPRESENTATION AND INFORMATIVE CONTENT (2026-08-18),

3. 12682630 - Minimalist multi-modal approach to few-shot class-incremental learning (2026-07-14),

4. 12664757 - System and method with language-guided self-supervised semantic segmentation (2026-06-23),

5. 12639935 - Visual analytics framework for explainable data slicing-based model validation (2026-05-26),

6. 12585250 - System and method for cycle time analysis and bottleneck detection in smart factory assembly lines (2026-03-24),

7. 12548313 - Boosting graph explainability using self-guided data augmentation (2026-02-10),

8. 12517926 - System, method, and computer program product for analyzing a relational database using embedding learning (2026-01-06),

9. 12493786 - Visual analytics system to assess, understand, and improve deep neural networks (2025-12-09),

10. 12205044 - Dynamic graph representation learning via attention networks (2025-01-21),

11. 12145592 - Systems and methods for multi-modal data augmentation for perception tasks in autonomous driving (2024-11-19),

12. 12118439 - Mixed-initiative machine learning systems and methods for determining segmentations (2024-10-15),

13. 12051238 - System and method with visual concept framework for self-supervised semantic segmentation (2024-07-30),

14. 12039458 - System, method, and computer program product for incorporating knowledge from more complex models in simpler models (2024-07-16),

15. 11978246 - Method, system, and computer program product for implementing reinforcement learning (2024-05-07),

Title: Liang Gou: Innovating the Future of Autonomous Driving and Data Analysis

Introduction: Liang Gou is a prominent inventor based in San Jose, California, with an impressive portfolio of 25 patents. His work primarily focuses on advanced techniques in data analysis and perception tasks, specifically in the realms of machine learning and autonomous driving.

Latest Patents: Liang's latest patents showcase his innovative contributions to technology. One of his significant inventions is titled "Dynamic Graph Representation Learning via Attention Networks." This method involves an analysis computer that extracts multiple datasets from graph snapshots using a structural self-attention module. Furthermore, it allows the extraction of a second dataset through a temporal self-attention module, culminating in graph context prediction.

Another notable invention is "Systems and Methods for Multi-Modal Data Augmentation for Perception Tasks in Autonomous Driving." This method involves a detailed approach to enhance perception tasks related to autonomous vehicle control by analyzing current statistical distributions of object types and generating augmented datasets as needed.

Career Highlights: Liang Gou has worked with renowned companies such as IBM and Visa International Service Association. His experience in these organizations has contributed significantly to his innovative ideas and expertise in applying advanced techniques in real-world applications.

Collaborations: Throughout his career, Liang has collaborated with notable individuals such as Hao Yang and Wei Zhang. These partnerships have likely enhanced his ability to develop cutting-edge innovations that push the boundaries of technology.

Conclusion: Liang Gou's contributions to innovations in data analysis and autonomous driving are noteworthy. With his 25 patents, he continues to influence the future of technology significantly, establishing himself as a key player in the field. His work not only showcases technological advancements but also inspires future innovations that will shape various industries.

Profile summary based on public USPTO records.

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