• Recent
  • Class
  • Inventors
  • Assignees
  • Top Lists
  • Pricing
  • Account
Patents-Review.com
  1. Home
  2. Inventor
  3. L
  4. Lon…
  5. LONG KEYU
🔗 Permalink
Inventor profile of:

KEYU LONG

City:

TORONTO

Country:

Canada

Published Applications:

6

Last publication date:

2025-12-18

Top Assignees for applications by KEYU LONG

The entities that hold a legal rights for patent applications filed by inventor LONG KEYU:

  • The Toronto-Dominion Bank 6 Toronto, Canada

Recent patent applications by LONG KEYU

KEYU LONG from TORONTO, CA has applied for patents for these inventions. The list has both pending applications and granted patents:

#1 | 2025-12-18
US20250384679A1
Physics

CLASSIFIER-GUIDED DATASET COMPRESSION USING DISTRIBUTION-AWARE SELECTION

#2 | 2025-12-18
US20250384664A1
Physics

IMAGE CLASSIFICATION MODEL TRAINING USING LATENT-BASED CLUSTER FILTERING AND ALIGNED SUBSET SELECTION

#3 | 2025-12-18
US20250384659A1
Physics

SIMILARITY-BASED SUBSET SELECTION OF LABELED IMAGES

#4 | 2025-12-18
US20250384264A1
Physics

CLASSIFIER GUIDED CLUSTER DENSITY REDUCTION

#5 | 2025-05-01
US20250139708A1
Physics

SYSTEMS AND METHODS FOR AUTOMATED DATA PROCESSING USING MACHINE LEARNING FOR VEHICLE LOSS DETECTION

#6 | 2023-11-23
US20230377047A1
Physics

Systems and methods for automated data processing using machine learning for vehicle loss detection

InventorID:

5916261 ⎘

  1. Home
  2. Inventor
  3. L
  4. Lon…
  5. LONG KEYU

Some parts © 2022-2026 Patents-Review.com

Browse & Discovery
  • Home
  • Patent Classification
  • Inventor Index
  • Assignee Index
  • Interesting Applications
Search & Tools
  • Basic Search
  • Advanced Search
  • Patent Alerts
  • Top Lists
  • Statistics
Information & Resources
  • About US Patent System
  • Terms & Privacy
  • Pricing
  • Contact
Quick Access
  • Latest Applications
  • Top Inventors 2026
  • Top Assignees 2026
  • Featured Patents
Disclaimer: This website is intended for informational purposes only, and its content is based on public patent records. Please note that some sections of this website have been created or processed using machine learning models. We provide content in good faith but make no guarantees regarding accuracy or completeness. By using this site, you accept any risks and waive claims against us for errors or omissions.