This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Ke Jiang - Innovator in Machine Learning for Chemical Reactions
Introduction
Ke Jiang is a prominent inventor based in Bellevue, WA (US). He has made significant contributions to the field of machine learning, particularly in the context of chemical reactions. His innovative work has led to the development of a unique system that enhances the retrieval of relevant chemical reaction procedures.
Latest Patents
Ke Jiang holds a patent for a "Machine learning system with two encoder towers for semantic matching." This patent describes a machine learning system that utilizes a contrastive learning-based two-tower model. The model is designed for the retrieval of relevant chemical reaction procedures based on a given query chemical reaction. It employs attention-based transformers and neural networks to convert tokenized representations of chemical reactions into embeddings within a shared embedding space. The architecture of the model includes transformer networks, pooling layers, normalization layers, and neural networks. The training process involves labeled data pairs that consist of a chemical reaction and the corresponding text of a chemical reaction procedure. This innovative model achieves a remarkable average recall at K=5 of 95.9%, demonstrating its high accuracy in semantic matching based on chemical structures.
Career Highlights
Ke Jiang is currently associated with Microsoft Technology Licensing, LLC, where he continues to push the boundaries of machine learning applications. His work is instrumental in advancing the capabilities of retrieval systems in the chemical domain.
Collaborations
Some of his notable coworkers include Sudipto Mukherjee and Liang Du, who contribute to the collaborative environment that fosters innovation and creativity.
Conclusion
Ke Jiang's contributions to machine learning and chemical reactions exemplify the intersection of technology and science. His innovative patent reflects a commitment to enhancing the accuracy and efficiency of chemical procedure retrieval.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile