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For the Inventor, By the Inventor

Beijing, China

Shandong Wang

This inventor holds 29 USPTO granted patents and 15 published patent applications and 8 EPO patents, primarily in Deep Learning Image Processing. Top assignees: Intel Corporation, Samsung Electronics Co., Ltd.. Active years: 2017-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Shandong Wang. Retrieved from https://idiyas.com/inventor/shandong-wang

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 29 

% Patents Active = 86.2

 

Average Co-Inventor Count = 6.8

ph-index = 4

Forward Citations = 43(Granted Patents)


Location History:

  • Suwon-si, KR (2018)
  • Shanghai, CN (2023)
  • Beijing, CN (2017 - 2024)

Company Filing History:

goldMedal24 out of 56,290 
 
Intel Corporation
 patents
silverMedal5 out of 132,108 
 
Samsung Electronics Co., Ltd.
 patents

Years Active: 2017-2026

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Areas of Expertise:
Multi-Modal Analysis
Image Processing
Pose Estimation
Deep Neural Networks
Image Classification
3D Facial Capture
Dynamic Emotion Recognition
Object Recognition
Convolutional Neural Networks
Guided Neural Network
Synthetic Data
Hardware Acceleration
29 patents (USPTO):Explore Patents
1. 12586348 - Feature fusion for multi-modal machine learning analysis (2026-03-24),
2. 12579843 - Method and system of image processing for action classification (2026-03-17),
3. 12561763 - Apparatus and method of guided neural network model for image processing (2026-02-24),
4. 12524903 - Incremental 2D-to-3D pose lifting for fast and accurate human pose estimation (2026-01-13),
5. 12322156 - Input image size switchable network for adaptive runtime efficient image classification (2025-06-03),
6. 12299927 - Apparatus and methods for three-dimensional pose estimation (2025-05-13),
7. 12217163 - Methods and systems for budgeted and simplified training of deep neural networks (2025-02-04),
8. 12079914 - Kinematic interaction system with improved pose tracking (2024-09-03),
9. 11972545 - Apparatus and method of guided neural network model for image processing (2024-04-30),
10. 11869171 - Adaptive deformable kernel prediction network for image de-noising (2024-01-09),
11. 11803739 - Methods and systems for budgeted and simplified training of deep neural networks (2023-10-31),
12. 11790223 - Methods and systems for boosting deep neural networks for deep learning (2023-10-17),
13. 11635943 - Systems and methods for generating gaussian random numbers with hardware acceleration (2023-04-25),
14. 11551335 - Methods and systems using camera devices for deep channel and convolutional neural network images and formats (2023-01-10),
15. 11537851 - Methods and systems using improved training and learning for deep neural networks (2022-12-27),

Title: Shandong Wang: Pioneer in Image Classification and Pose Estimation

Introduction: Shandong Wang, based in Beijing, China, is an accomplished inventor with a portfolio of 25 patents. His groundbreaking work primarily focuses on advancements in image classification and three-dimensional pose estimation, significantly contributing to the fields of artificial intelligence and computer vision.

Latest Patents: Among Wang's notable patents is the "Input Image Size Switchable Network for Adaptive Runtime Efficient Image Classification." This invention discusses techniques for implementing and training image classification networks, specifically applying shared convolutional layers to input images of varying resolutions. Furthermore, it introduces methods for selective normalization based on image resolution, and innovative training techniques using mixed image sizes for parallel training and ensemble distillation.

Another significant patent is for "Apparatus and Methods for Three-Dimensional Pose Estimation." In this invention, an apparatus is described that synchronizes two images captured by different devices to analyze a subject's pose. It utilizes a two-dimensional pose detector and a three-dimensional pose calculator, which work together to generate a graphical model of the subject's pose based on data processed by neural networks.

Career Highlights: Shandong Wang has amassed extensive experience in the technology industry, having worked at leading companies such as Intel Corporation and Samsung Electronics Co., Ltd. His roles at these organizations have allowed him to develop influential technologies that push the boundaries of image processing and computer vision applications.

Collaborations: Throughout his career, Wang has collaborated with talented professionals, including Anbang Yao and Yurong Chen. These partnerships have fostered innovation and have been vital in advancing the projects they have undertaken together.

Conclusion: Shandong Wang stands as a prominent figure in the arena of innovations related to image classification and pose estimation. His commitment to pushing technological limits is evident through his patents, collaborations, and career accomplishments. As he continues to develop cutting-edge solutions, his contributions will undoubtedly leave a significant impact on the technological landscape.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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