Cambridge, MA, United States of America

Chuang Gan

This inventor holds 70 USPTO granted patents and 28 published patent applications and 1 EPO patent, primarily in Automated Machine Learning. Top assignees: International Business Machines Corporation, Rensselaer Polytechnic Institute, Tsinghua University. Active years: 2021-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Chuang Gan. Retrieved from https://idiyas.com/inventor/chuang-gan

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

USPTO Granted Patents = 70 

% Patents Active = 82.9


Average Co-Inventor Count = 4.7

ph-index = 4

Forward Citations = 73(Granted Patents)

Forward Citations (Not Self Cited) = 42(Dec 10, 2025)


Company Filing History:


Years Active: 2021-2026

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Areas of Expertise:
Error Log Conversion
Algorithmic Circuit Design
Temporal Action Localization
Unsupervised Learning
Graph Neural Networks
Adversarial Training
Natural Language Interaction
Action Recognition
Audio-Visual Separation
Model Selection
Data Science Automation
Video Representation
70 patents (USPTO):Explore Patents

Title: Innovations of Chuang Gan: A Pioneer in Speech Recognition and Graph Neural Networks

Introduction

Chuang Gan is an accomplished inventor based in Cambridge, MA, with a remarkable portfolio of 50 patents. His work focuses on advanced technologies such as speech recognition and graph neural networks, showcasing his innovative approach to solving complex problems in artificial intelligence and machine learning.

Latest Patents

Among his latest inventions, Chuang Gan developed a patent for self-supervised speech recognition. This invention involves a process where one or more computer processors obtain an initial subnetwork aimed at a target sparsity and utilize a pruning mask derived from a pre-trained self-supervised learning speech model. The processors fine-tune the subnetwork by zeroing out specific masked weights and training a new subnetwork from this adjusted base. The final step involves pruning weights of the lowest magnitude to meet the target sparsity, allowing the finetuned subnetwork to classify audio segments effectively.

Another notable patent focuses on an interpretable visualization system for graph neural networks. This system employs a trained graph neural network model to classify input instances and utilizes a gradient-based saliency matrix to enhance the interpretability of its predictions. By incorporating user input, the system can adapt and modify the graph neural network model to improve classification accuracy.

Career Highlights

Chuang Gan has contributed his expertise to prominent organizations, including IBM and Rensselaer Polytechnic Institute. His positions at these institutions have allowed him to collaborate with other leading minds in the field, further enhancing his contributions to technology and research.

Collaborations

Throughout his career, Chuang Gan has worked alongside notable colleagues such as Dakuo Wang and Yang Zhang. These collaborations have played a significant role in shaping his innovative projects and furthering advancements in their respective fields.

Conclusion

Chuang Gan's extensive patent portfolio and impactful inventions highlight his significant contributions to the fields of speech recognition and graph neural networks. His work not only pushes the boundaries of technology but also emphasizes the importance of collaboration and innovation in the ever-evolving world of artificial intelligence.

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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