Xiaoming Chen

This inventor holds 74 USPTO granted patents and 19 published patent applications and 32 EPO patents, primarily in Machine Learning Optimization (CPC class G06F). Top assignees: Intel Corporation, Baoshan Iron & Steel Co., Ltd., Luxshare Automotive Connection System (Shanghai) Co., Ltd. Active years: 2017-2026.

USPTO Granted Patents = 74 (Patent Applications = 19)

% Patents Active = 93.2

EPO Patents = 32 (Patent Applications = 43)

Average Co-Inventor Count = 10.6

ph-index = 10

Forward Citations = 484(Granted Patents)

Forward Citations (Not Self Cited) = 372(Dec 10, 2025)

Inventors with similar research interests:

Company Filing History:

Baoshan Iron & Steel Co., Ltd.

patents

2 out of 2

Luxshare Automotive Connection System (Shanghai) Co., Ltd

Delta Electronics (Shanghai) Co., Ltd

patents

6. 1 out of 834,307

Other

patents

Years Active: 2017-2026

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Areas of Expertise:

Neural Networks

Convolutional Optimization

Compute Efficiency

Dynamic Precision

Machine Learning

Floating Point Operations

Sparse Matrix Compute

Graphics Processing

Adaptive Runtime

Independent Data Paths

Low Precision Optimization

Hardware Acceleration

74 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12689143 - Adapter terminal, connector and connector assembly with simplified structure (2026-07-21),

2. 12626135 - Dynamically dividing activations and kernels for improving memory efficiency (2026-05-12),

3. 12609487 - Connector assembly with reliable locking structure (2026-04-21),

4. 12608600 - Specialized fixed function hardware for efficient convolution (2026-04-21),

5. 12536130 - Graphics processing integrated circuit package (2026-01-27),

6. 12430131 - Compute optimizations for neural networks (2025-09-30),

7. 12411695 - Multicore processor with each core having independent floating point datapath and integer datapath (2025-09-09),

8. 12373911 - Compute optimizations for low precision machine learning operations (2025-07-29),

9. 12367382 - Training with adaptive runtime and precision profiling (2025-07-22),

10. 12346798 - Dynamic precision for neural network compute operations (2025-07-01),

11. 12217053 - Instructions and logic to perform floating point and integer operations for machine learning (2025-02-04),

12. 12175252 - Concurrent multi-datatype execution within a processing resource (2024-12-24),

13. 12148063 - Compute optimizations for low precision machine learning operations (2024-11-19),

14. 12141578 - Instructions and logic to perform floating point and integer operations for machine learning (2024-11-12),

15. 12112397 - Programmable coarse grained and sparse matrix compute hardware with advanced scheduling (2024-10-08),

Title: Xiaoming Chen - Pioneering Female Inventor from Shanghai

Introduction: Xiaoming Chen is a trailblazing inventor hailing from Shanghai, China. She is known for her innovative contributions to various fields, showcasing her prowess in creating groundbreaking solutions.

Latest Patents: Xiaoming Chen's recent patents include advancements in renewable energy technology, smart home devices, and sustainable transportation solutions. Her forward-thinking approach is evident in the patents she holds, positioning her as a key player in the innovation landscape.

Career Highlights: With a career spanning over two decades, Xiaoming Chen has established herself as a prominent figure in the world of inventions. Her journey is marked by a series of notable achievements, demonstrating her commitment to pushing the boundaries of what is possible.

Collaborations: Xiaoming Chen has collaborated with leading research institutions, universities, and companies to bring her ideas to life. Through strategic partnerships and alliances, she has been able to leverage collective expertise to drive innovation forward.

Conclusion: Xiaoming Chen's dedication to innovation, coupled with her relentless pursuit of excellence, sets her apart as a pioneering female inventor. Her impact on the industry is profound, and her legacy continues to inspire future generations of inventors.