Eric S Chung

This inventor holds 70 USPTO granted patents and 26 published patent applications and 29 EPO patents, primarily in Neural Network Processing. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2016-2026.

USPTO Granted Patents = 70 (Patent Applications = 26)

% Patents Active = 100.0

EPO Patents = 29 (Patent Applications = 49)

Average Co-Inventor Count = 3.9

ph-index = 9

Forward Citations = 351(Granted Patents)

Forward Citations (Not Self Cited) = 294(Dec 10, 2025)

Location History:

Sunnyvale, CA (US) (2016)
Redmond, WA (US) (2022 - 2023)
Woodinville, WA (US) (2017 - 2024)

Company Filing History:

70 out of 55,978

Microsoft Technology Licensing, LLC

patents

Years Active: 2016-2026

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Areas of Expertise:

Artificial Intelligence

Neural Network Training

Data Masking

Quantization

Hardware Acceleration

Activation Compression

Mixed Precision

Field Programmable Gate Array

Convolutional Neural Networks

Performance Metric

Neural Architecture Search

Integrated Circuit

70 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12737598 - Neural network processing with model pinning (2026-09-15),

2. 12694265 - Mixture of experts models with sparsified weights (2026-07-28),

3. 12645932 - Sparsifying narrow data formats for neural networks (2026-06-02),

4. 12639129 - Deep fusion of kernel execution (2026-05-26),

5. 12608225 - Hierarchical programming model for artificial intelligence hardware (2026-04-21),

6. 12585926 - Adjusting precision and topology parameters for neural network training based on a performance metric (2026-03-24),

7. 12566962 - Dithered quantization of parameters during training with a machine learning tool (2026-03-03),

8. 12554466 - Systems and methods for accelerating the computation of the exponential function (2026-02-17),

9. 12547872 - Machine learning model processing based on perplexity (2026-02-10),

10. 12518151 - Residual quantization for neural networks (2026-01-06),

11. 12511344 - Fusing operators for neural network hardware accelerators (2025-12-30),

12. 12443848 - Neural network activation compression with narrow block floating-point (2025-10-14),

13. 12412088 - Reducing operations for training neural networks (2025-09-09),

14. 12346277 - Systems and methods for hardware acceleration of data masking (2025-07-01),

15. 12307372 - Data-aware model pruning for neural networks (2025-05-20),

Title: Eric S. Chung: Innovator in Artificial Intelligence Technology

Introduction: Eric S. Chung, based in Redmond, WA, is a notable inventor with an impressive portfolio of 48 patents. His work primarily focuses on advancements in artificial intelligence and neural network training, showcasing his expertise in optimizing complex systems for enhanced performance.

Latest Patents: Among Eric's latest inventions is a patented system for training an artificial neural network. This innovative system optimizes the network by configuring a model with various training parameters and monitoring statistics generated during the training process. It adjusts these parameters in real-time to maintain certain statistics within predetermined ranges, ensuring efficient performance. Another significant patent is the Quantization-aware Neural Architecture Search (QNAS), which helps in learning optimal hyperparameters for configuring artificial neural networks. This method enhances the efficiency of ANN by quantizing activation values and weights for better resource management.

Career Highlights: Eric S. Chung has made notable contributions while working at Microsoft Technology Licensing, LLC. His work has positioned him as a key player in the development of intelligent systems that leverage artificial intelligence to solve complex challenges in various domains.

Collaborations: In his career, Eric has collaborated with talented professionals such as Douglas Christopher Burger and Adrian Michael Caulfield, further enriching his work through a strong partnership with other innovators in the field.

Conclusion: Eric S. Chung continues to push the boundaries of artificial intelligence through his innovative patents and collaborative efforts. His contributions significantly advance the field and exemplify the spirit of innovation that drives progress in technology.