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Years Active: 2024-2025
Title: Innovations and Contributions of Inventor Li Zhang
Introduction
Li Zhang is a notable inventor based in Yorktown Heights, NY (US). He has made significant contributions to the field of machine learning and natural language processing. With a total of 3 patents, his work has garnered attention for its innovative approaches and practical applications.
Latest Patents
One of Li Zhang's latest patents is titled "Parameter data sharing for multi-learner training of machine learning applications." In this invention, a machine receives a first set of global parameters from a global parameter server. Multiple learner processors in the machine execute an algorithm that models an entity type using the first set of global parameters and a mini-batch of data known to describe the entity type. The machine generates a consolidated set of gradients that describes a direction for the first set of global parameters in order to improve the accuracy of the algorithm in modeling the entity type when using the first set of global parameters and the mini-batch of data. The machine transmits the consolidated set of gradients to the global parameter server. Subsequently, the machine receives a second set of global parameters from the global parameter server, where the second set of global parameters is a modification of the first set based on the consolidated set of gradients.
Another significant patent is "Complementary evidence identification in natural language inference." This invention involves methods and apparatus for identifying complementary evidence in natural language inference. A given question is obtained, and a set of N passages is retrieved from a database. A probability is determined for each passage of the set of N passages, indicating the likelihood of a corresponding passage being supportive of the given question. The set of N passages is then ranked based on these probabilities. M passages that are ranked 1 to M are selected, and a set of L passages is chosen based on a plurality of scores assigned to candidate passages. These scores are based on the determined probabilities, the selected M passages, and a weighted regulation parameter. The set of L passages is then provided to a computerized machine learning system to answer the question.
Career Highlights
Li Zhang has worked with prominent companies such as IBM and Amazon Technologies, Inc. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in technology.
Collaborations
Some of Li Zhang's notable coworkers include Sanjiv Ranjan Das and Yue Zhao, who is a talented
Inventor’s Patent Attorneys refers to legal professionals with specialized expertise in representing inventors throughout the patent process. These attorneys assist inventors in navigating the complexities of patent law, including filing patent applications, conducting patent searches, and protecting intellectual property rights. They play a crucial role in helping inventors secure patents for their innovative creations.