San Francisco, CA, United States of America

Xin Qiu

This inventor holds 3 USPTO granted patents and 1 published patent application. Top assignee: Cognizant Technology Solutions U.S. Corporation. Active years: 2023-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xin Qiu. Retrieved from https://idiyas.com/inventor/xin-qiu-llyxi9js

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

USPTO Granted Patents = 3 

% Patents Active = 100.0

Average Co-Inventor Count = 2.3

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023-2024

Loading Chart...
3 patents (USPTO):Explore Patents

Title: Innovations by Inventor Xin Qiu

Introduction

Xin Qiu is an accomplished inventor based in San Francisco, CA. She has made significant contributions to the field of optimization and neural networks, holding a total of 3 patents. Her work focuses on enhancing algorithms and improving predictive accuracy in complex environments.

Latest Patents

One of Xin Qiu's latest patents is titled "Enhancing evolutionary optimization in uncertain environments by allocating evaluations via multi-armed bandit algorithms." This patent describes a computer-implemented method that optimizes genetic algorithms for finding solutions to specific problems. The method utilizes a multi-arm bandit algorithm to assess performance scores for candidate individuals based on their successes and failures. The process involves evolving candidate individuals through various steps, including determining fitness scores, discarding underperforming candidates, and introducing new candidates derived from successful ones. This iterative evolution continues until a winning candidate is selected as the solution to the problem at hand.

Another notable patent is "Quantifying the predictive uncertainty of neural networks via residual estimation with I/O kernel." This framework, known as RIO, provides estimates of predictive uncertainty for neural networks while reducing point-prediction errors. By capturing the behavior of neural networks through residual estimation with an I/O kernel, RIO effectively applies a modified Gaussian process. This method is scalable to large datasets and can be directly applied to any pretrained neural networks without requiring changes to their architecture or training processes.

Career Highlights

Xin Qiu is currently employed at Cognizant Technology Solutions U.S. Corporation, where she continues to innovate and develop advanced algorithms. Her expertise in optimization and neural networks has positioned her as a key contributor in her field.

Collaborations

Xin has collaborated with notable professionals such as Risto Miikkulainen and Elliot Meyerson, further enhancing her research and development efforts.

Conclusion

Xin Qiu's innovative work in optimization and neural networks demonstrates her commitment to advancing technology. Her patents reflect her ability to tackle complex problems and contribute valuable solutions to the field.

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]
Loading…