This inventor holds 2 USPTO granted patents and 6 published patent applications. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2024-2026.
Company Filing History:
Years Active: 2024-2026
Title: Innovations of Zhanglong Liu
Introduction
Zhanglong Liu is an accomplished inventor based in Fremont, CA. He has made significant contributions to the field of technology, holding a total of 2 patents. His work primarily focuses on advanced systems that enhance digital content collaboration and machine learning models.
Latest Patents
Zhanglong Liu's latest patents include a "Generative Collaborative Publishing System." This invention identifies users on a network as potential contributors to digital documents. It utilizes multiple channels to send invitations for contributions, analyzes channel usage data, and computes channel affinity scores to select the optimal channel for user engagement. Another notable patent is the "Deep Representation Machine Learned Model for Heterogeneous Information Networks." This model employs deep learning to create embedding representations that capture entity-specific and network environment properties, enhancing the understanding of complex information networks.
Career Highlights
Zhanglong Liu is currently employed at Microsoft Technology Licensing, LLC. His role involves leveraging his expertise in technology to drive innovation and develop cutting-edge solutions. His contributions have been instrumental in advancing the capabilities of collaborative systems and machine learning applications.
Collaborations
Zhanglong has collaborated with talented individuals such as Aastha Jain and Aastha Nigam. Their teamwork has fostered an environment of creativity and innovation, leading to the development of impactful technologies.
Conclusion
Zhanglong Liu's innovative work in technology and his contributions to collaborative systems and machine learning models highlight his role as a leading inventor in the field. His patents reflect a commitment to enhancing digital interactions and understanding complex networks.
