Company Filing History:
Years Active: 2012-2017
Title: Libin Shen: Innovator in Machine Learning and Translation Technologies
Introduction
Libin Shen is a notable inventor based in Needham, MA (US), recognized for his contributions to machine learning and computer-assisted translation technologies. He holds 2 patents that showcase his innovative approaches to solving complex computational problems.
Latest Patents
One of his latest patents is titled "Parallel training of a support vector machine (SVM) with distributed block minimization." This method addresses the challenges of solving large-scale linear SVMs efficiently in terms of computation, data storage, and communication requirements. The approach is particularly effective for very large datasets and eliminates the need for a master node to retain examples in memory. By partitioning the dataset across several nodes in a cluster, the algorithm employs 'distributed block minimization' to achieve optimal results. Notably, the communication complexity of this algorithm remains independent of the number of training examples.
Another significant patent is related to "Machine translation." This invention provides a method for computer-assisted translation from a source language to a target language using a set of rules. Each rule establishes an association between a sequence of source language tokens and a corresponding tree-based structure in the target language. The tree-based structure represents asymmetrical relations among target tokens and facilitates the decoding of input sequences to generate output sequences of target language tokens. The decoding process involves determining a tree-based structure for sub-sequences of the input based on matches to the established rules.
Career Highlights
Libin Shen has worked with prominent companies such as Raytheon BBN Technologies Corp. and Akamai Technologies, Inc. His experience in these organizations has contributed to his expertise in developing advanced technologies in his field.
Collaborations
Throughout his career, Libin has collaborated with notable colleagues, including Jinxi Xu and Ralph Mark Weischedel. These partnerships have likely enriched his work and led to further innovations in his projects.
Conclusion
Libin Shen's contributions to machine learning and translation technologies highlight his role as an influential inventor. His patents reflect a commitment to advancing computational methods and improving the efficiency of language processing systems.