Elkridge, MD, United States of America

Xuchao Zhang

This inventor holds 12 USPTO granted patents and 11 published patent applications. Top assignee: Nec Corporation. Active years: 2023-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xuchao Zhang. Retrieved from https://idiyas.com/inventor/xuchao-zhang

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

USPTO Granted Patents = 12 

% Patents Active = 91.7

Average Co-Inventor Count = 3.8

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2023-2026

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12 patents (USPTO):Explore Patents

Title: Innovations of Xuchao Zhang

Introduction

Xuchao Zhang is a prominent inventor based in Elkridge, MD (US), known for his significant contributions to technology and innovation. With a total of 11 patents to his name, Zhang has made remarkable strides in the field of anomaly detection and multi-modal representation learning.

Latest Patents

One of Zhang's latest patents is titled "Efficient transformer for content-aware anomaly detection in event sequences." This invention presents a method for implementing a self-attentive encoder-decoder transformer framework for anomaly detection in event sequences. The method involves feeding event content information into a content-awareness layer to generate event representations. It also includes inputting event sequences of two hierarchies into an encoder to capture long-term and short-term patterns, generating feature maps, and applying a one-class objective during the training stage to bound the decoded special sequence token with a reconstruction loss for sequence forecasting. During the testing stage, any event representation whose decoded special sequence token lies outside a hypersphere is labeled as an anomaly.

Another notable patent is "Co-disentangled series/text multi-modal representation learning for controllable generation." This computer-implemented method provides a framework for multi-model representation learning. It includes encoding an input time series segment into a time series-shared latent representation and a time series-private latent representation. Additionally, it generates natural language text that explains the input time series segment, responsive to the shared and private latent representations.

Career Highlights

Xuchao Zhang is currently employed at NEC Corporation, where he continues to innovate and develop cutting-edge technologies. His work has significantly impacted the fields of data analysis and machine learning, showcasing his expertise and dedication to advancing technology.

Collaborations

Zhang has collaborated with notable colleagues, including Haifeng Chen and Yanchi Liu, contributing to various projects and enhancing the scope of their research.

Conclusion

Xuchao Zhang's innovative work and numerous patents highlight his role as a leading inventor in the technology sector. His contributions to anomaly detection and multi-modal representation learning are paving the way for future advancements in these fields.

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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